Difference between revisions of "Past tutorials"

From Admin Wiki
Jump to navigation Jump to search
 
(22 intermediate revisions by 2 users not shown)
Line 1: Line 1:
−
This page belongs to the [[tutorial chair handbook]]. It summarizes data on tutorials which took place at some recent ACL, EACL, NAACL, EMNLP and COLING conferences.
+
This page belongs to the [[tutorial chair handbook]]. It summarizes data on tutorials which took place at some recent ACL, AACL, EACL, NAACL, EMNLP and COLING conferences.
 +
 
 +
==2024 tutorials==
 +
 
 +
{| border="1" cellspacing="0" cellpadding="5"
 +
|'''Title'''
 +
|'''Trainers'''
 +
|'''ACL Anthology link'''
 +
|-
 +
!colspan="3"|NAACL 2024 [https://2024.naacl.org/program/tutorials/]
 +
|-
 +
|Catch Me If You GPT: Tutorial on Deepfake Texts
 +
|Adaku Uchendu, Saranya Venkatraman, Thai Le, Dongwon Lee
 +
|[https://aclanthology.org/2024.naacl-tutorials.1/]
 +
|-
 +
|Combating Security and Privacy Issues in the Era of Large Language Models
 +
|Muhao Chen, Chaowei Xiao, Huan Sun, Lei Li, Leon Derczynski, Anima Anandkumar, Fei Wang
 +
|[https://aclanthology.org/2024.naacl-tutorials.2/]
 +
|-
 +
|Explanation in the Era of Large Language Models
 +
|Zining Zhu, Hanjie Chen, Xi Ye, Qing Lyu, Chenhao Tan, Ana Marasovic, Sarah Wiegreffe
 +
|[https://aclanthology.org/2024.naacl-tutorials.3/]
 +
|-
 +
|From Text to Context: Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP
 +
|Adithya V Ganesan, Siddharth Mangalik, Vasudha Varadarajan, Nikita Soni, Swanie Juhng, João Sedoc, H. Andrew Schwartz, Salvatore Giorgi, Ryan L Boyd
 +
|[https://aclanthology.org/2024.naacl-tutorials.4/]
 +
|-
 +
|Human-AI Interaction in the Age of LLMs
 +
|Diyi Yang, Sherry Tongshuang Wu, Marti A. Hearst
 +
|[https://aclanthology.org/2024.naacl-tutorials.5/]
 +
|-
 +
|Spatial and Temporal Language Understanding: Representation, Reasoning, and Grounding
 +
|Parisa Kordjamshidi, Qiang Ning, James Pustejovsky, Marie-Francine Moens
 +
|[https://aclanthology.org/2024.naacl-tutorials.6/]
 +
|-
 +
!colspan="3"|COLING 2024 [https://lrec-coling-2024.org/tutorials/]
 +
|-
 +
|Meaning Representations for Natural Languages: Design, Models and Applications
 +
|Julia Bonn, Jeffrey Flanigan, Jan Hajič, Ishan Jindal, Yunyao Li and Nianwen Xue
 +
|
 +
|-
 +
|Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs)
 +
|Leshem Choshen, Ariel Gera, Yotam Perlitz, Michal Shmueli-Scheuer and Gabriel Stanovsky
 +
|
 +
|-
 +
|The DBpedia Databus Tutorial: Increase the Visibility and Usability of Your Data
 +
|Milan Dojchinovski
 +
|
 +
|-
 +
|NLP for Chemistry — Introduction and Recent Advances
 +
|Camilo Thorne and Saber Akhondi
 +
|
 +
|-
 +
|Formal Semantic Controls over Language Models
 +
|Danilo Silva de Carvalho, yingji zhang and André Freitas
 +
|
 +
|-
 +
|Towards a Human-Computer Collaborative Scientific Paper Lifecycle: A Pilot Study and Hands-On Tutorial
 +
|Qingyun Wang, Carl Edwards, Heng Ji and Tom Hope
 +
|
 +
|-
 +
|From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and Beyond
 +
|Hao Fei, Yuan Yao, Zhuosheng Zhang, Fuxiao Liu, Ao Zhang and Tat-Seng Chua
 +
|
 +
|-
 +
|Knowledge Editing for Large Language Models
 +
|Ningyu Zhang, Yunzhi Yao and Shumin Deng
 +
|
 +
|-
 +
|Geo-Cultural Representation and Inclusion in Language Technologies
 +
|Sunipa Dev and Rida Qadri
 +
|
 +
|-
 +
|Mining, Assessing, and Improving Arguments in NLP and the Social Sciences
 +
|Gabriella Lapesa, Eva Maria Vecchi, Serena Villata and Henning Wachsmuth
 +
|
 +
|-
 +
|Hallucination in Large Language Models
 +
|Vipula Rawte, Aman Chadha, Amit Sheth and Amitava Das
 +
|
 +
|-
 +
|Addressing Bias and Hallucination in Large Language Models
 +
|Nihar Sahoo, Ashita Saxena, Kishan Maharaj, Arif Ahmad, Abhijit Mishra and Pushpak Bhattacharyya
 +
|
 +
|-
 +
|Knowledge-enhanced Response Generation in Dialogue Systems: Current Advancements and Emerging Horizons
 +
|Priyanshu Priya, Deeksha Varshney, Mauajama Firdaus and Asif Ekbal
 +
|
 +
|-
 +
|}
 +
==2023 tutorials==
 +
 
 +
{| border="1" cellspacing="0" cellpadding="5"
 +
|'''Title'''
 +
|'''Trainers'''
 +
|'''ACL Anthology link'''
 +
|-
 +
!colspan="3"|ACL 2023 [https://2023.aclweb.org/program/tutorials/]
 +
|-
 +
|Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond
 +
|Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua
 +
|[https://aclanthology.org/2023.acl-tutorials.1/]
 +
|-
 +
|Complex Reasoning in Natural Language
 +
|Wenting Zhao, Mor Geva, Bill Yuchen Lin, Michihiro Yasunaga, Aman Madaan, Tao Yu
 +
|[https://aclanthology.org/2023.acl-tutorials.2/]
 +
|-
 +
|Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world
 +
|Sunayana Sitaram, Monojit Choudhury, Barun Patra, Vishrav Chaudhary, Kabir Ahuja, Kalika Bali
 +
|[https://aclanthology.org/2023.acl-tutorials.3/]
 +
|-
 +
|Generating Text from Language Models
 +
|Afra Amini, Ryan Cotterell, John Hewitt, Luca Malagutti, Clara Meister, Tiago Pimentel
 +
|[https://aclanthology.org/2023.acl-tutorials.4/]
 +
|-
 +
|Indirectly Supervised Natural Language Processing
 +
|Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth
 +
|[https://aclanthology.org/2023.acl-tutorials.5/]
 +
|-
 +
|Retrieval-based Language Models and Applications
 +
|Akari Asai, Sewon Min, Zexuan Zhong, Danqi Chen
 +
|[https://aclanthology.org/2023.acl-tutorials.6/]
 +
|-
 +
!colspan="3"|AACL 2023
 +
|-
 +
|Language and Robotics: Toward Building Robots Coexisting with Human Society Using Language Interface
 +
|Yutaka Nakamura, Shuhei Kurita, Koichiro Yoshino
 +
|[https://aclanthology.org/2023.ijcnlp-tutorials.1/]
 +
|-
 +
|Current Status of NLP in South East Asia with Insights from Multilingualism and Language Diversity
 +
|Alham Fikri Aji, Jessica Zosa Forde, Alyssa Marie Loo, Lintang Sutawika, Skyler Wang, Genta Indra Winata, Zheng-Xin Yong, Ruochen Zhang, A. Seza Doğruöz, Yin Lin Tan, Jan Christian Blaise Cruz
 +
|[https://aclanthology.org/2023.ijcnlp-tutorials.2/]
 +
|-
 +
|Practical Tools from Domain Adaptation for Designing Inclusive, Equitable, and Robust Generative AI
 +
|Anthony Sicilia, Malihe Alikhani
 +
|[https://aclanthology.org/2023.ijcnlp-tutorials.3/]
 +
|-
 +
|Editing Large Language Models
 +
|Ningyu Zhang, Yunzhi Yao, Shumin Deng
 +
|[https://aclanthology.org/2023.ijcnlp-tutorials.4/]
 +
|-
 +
|Learning WHO Saying WHAT to WHOM in Multi-Party Conversations
 +
|Jia-Chen Gu, Zhuosheng Zhang, Zhen-Hua Ling
 +
|[https://aclanthology.org/2023.ijcnlp-tutorials.5/]
 +
|-
 +
|Developing State-Of-The-Art Massively Multilingual Machine Translation Systems for Related Languages
 +
|Jay Gala, Pranjal A. Chitale, Raj Dabre
 +
|[https://aclanthology.org/2023.ijcnlp-tutorials.6/]
 +
|-
 +
!colspan="3"|EACL 2023 [https://2023.eacl.org/program/tutorials/]
 +
|-
 +
|Mining, Assessing, and Improving Arguments in NLP and the Social Sciences
 +
|Gabriella Lapesa, Eva Maria Vecchi, Serena Villata, Henning Wachsmuth
 +
|[https://aclanthology.org/2023.eacl-tutorials.1/]
 +
|-
 +
|Emotion Analysis from Texts
 +
|Sanja Stajner, Roman Klinger
 +
|[https://aclanthology.org/2023.eacl-tutorials.2/]
 +
|-
 +
|Summarization of Dialogues and Conversations At Scale
 +
|Diyi Yang, Chenguang Zhu
 +
|[https://aclanthology.org/2023.eacl-tutorials.3/]
 +
|-
 +
|Understanding Ethics in NLP Authoring and Reviewing
 +
|Luciana Benotti, Karën Fort, Min-Yen Kan, Yulia Tsvetkov
 +
|[https://aclanthology.org/2023.eacl-tutorials.4/]
 +
|-
 +
|AutoML for NLP
 +
|Kevin Duh, Xuan Zhang
 +
|[https://aclanthology.org/2023.eacl-tutorials.5/]
 +
|-
 +
|Privacy-Preserving Natural Language Processing
 +
|Ivan Habernal, Fatemehsadat Mireshghallah, Patricia Thaine, Sepideh Ghanavati, Oluwaseyi Feyisetan
 +
|[https://aclanthology.org/2023.eacl-tutorials.6/]
 +
|-
 +
!colspan="3"|EMNLP 2023 [https://2023.emnlp.org/program/tutorials/]
 +
|-
 +
|NLP+Vis: NLP Meets Visualization
 +
|Shafiq Joty, Enamul Hoque, Jesse Vig
 +
|[https://aclanthology.org/2023.emnlp-tutorial.1/]
 +
|-
 +
|Security Challenges in Natural Language Processing Models
 +
|Qiongkai Xu, Xuanli He
 +
|[https://aclanthology.org/2023.emnlp-tutorial.2/]
 +
|-
 +
|Designing, Evaluating, and Learning from Humans Interacting with NLP Models
 +
|Tongshuang Wu, Diyi Yang, Sebastin Santy
 +
|[https://aclanthology.org/2023.emnlp-tutorial.3/]
 +
|-
 +
|LLM-driven Instruction Following: Progresses and Concerns
 +
|Wenpeng Yin, Qinyuan Ye, Pengfei Liu, Xiang Ren, Hinrich Schütze
 +
|[https://aclanthology.org/2023.emnlp-tutorial.4/]
 +
|-
 +
|Mitigating Societal Harms in Large Language Models
 +
|Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov
 +
|[https://aclanthology.org/2023.emnlp-tutorial.5/]
 +
|-
 +
|Creative Natural Language Generation
 +
|Tuhin Chakrabarty, Vishakh Padmakumar, He He, Nanyun Peng
 +
|[https://aclanthology.org/2023.emnlp-tutorial.6/]
 +
|-
 +
|}
 +
 
 +
==2022 tutorials==
 +
 
 +
{| border="1" cellspacing="0" cellpadding="5"
 +
|'''Title'''
 +
|'''Trainers'''
 +
|'''ACL Anthology link'''
 +
|-
 +
!colspan="3"|ACL 2022 [https://www.2022.aclweb.org/tutorials]
 +
|-
 +
|A Gentle Introduction to Deep Nets and Opportunities for the Future
 +
|Kenneth Church, Valia Kordoni, Gary Marcus, Ernest Davis, Yanjun Ma, Zeyu Chen
 +
|[https://aclanthology.org/2022.acl-tutorials.1/]
 +
|-
 +
|Towards Reproducible Machine Learning Research in Natural Language Processing
 +
|Ana Lucic, Maurits Bleeker, Samarth Bhargav, Jessica Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic
 +
|[https://aclanthology.org/2022.acl-tutorials.2/]
 +
|-
 +
|Knowledge-Augmented Methods for Natural Language Processing
 +
|Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu
 +
|[https://aclanthology.org/2022.acl-tutorials.3/]
 +
|-
 +
|Non-Autoregressive Sequence Generation
 +
|Jiatao Gu, Xu Tan
 +
|[https://aclanthology.org/2022.acl-tutorials.4/]
 +
|-
 +
|Learning with Limited Text Data
 +
|Diyi Yang, Ankur Parikh, Colin Raffel
 +
|[https://aclanthology.org/2022.acl-tutorials.5/]
 +
|-
 +
|Zero- and Few-Shot NLP with Pretrained Language Models
 +
|Iz Beltagy, Arman Cohan, Robert Logan IV, Sewon Min, Sameer Singh
 +
|[https://aclanthology.org/2022.acl-tutorials.6/]
 +
|-
 +
|Vision-Language Pretraining: Current Trends and the Future
 +
|Aishwarya Agrawal, Damien Teney, Aida Nematzadeh
 +
|[https://aclanthology.org/2022.acl-tutorials.7/]
 +
|-
 +
|Natural Language Processing for Multilingual Task-Oriented Dialogue
 +
|Evgeniia Razumovskaia, Goran Glavaš, Olga Majewska, Edoardo Ponti, Ivan Vulić
 +
|[https://aclanthology.org/2022.acl-tutorials.8/]
 +
|-
 +
!colspan="3"|AACL 2022
 +
|-
 +
|Efficient and Robust Knowledge Graph Construction
 +
|Ningyu Zhang, Tao Gui, Guoshun Nan
 +
|[https://aclanthology.org/2022.aacl-tutorials.1/]
 +
|-
 +
|Recent Advances in Pre-trained Language Models: Why Do They Work and How Do They Work
 +
|Cheng-Han Chiang, Yung-Sung Chuang, Hung-yi Lee
 +
|[https://aclanthology.org/2022.aacl-tutorials.2/]
 +
|-
 +
|When Cantonese NLP Meets Pre-training: Progress and Challenges
 +
|Rong Xiang, Hanzhuo Tan, Jing Li, Mingyu Wan, Kam-Fai Wong
 +
|[https://aclanthology.org/2022.aacl-tutorials.3/]
 +
|-
 +
|Grounding Meaning Representation for Situated Reasoning
 +
|Nikhil Krishnaswamy, James Pustejovsky
 +
|[https://aclanthology.org/2022.aacl-tutorials.4/]
 +
|-
 +
|The Battlefront of Combating Misinformation and Coping with Media Bias
 +
|Yi Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji
 +
|[https://aclanthology.org/2022.aacl-tutorials.5/]
 +
|-
 +
|A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing
 +
|Roberto Navigli, Edoardo Barba, Simone Conia, Rexhina Blloshmi
 +
|[https://aclanthology.org/2022.aacl-tutorials.6/]
 +
|-
 +
!colspan="3"|NAACL 2022 [https://2022.naacl.org/program/tutorials/]
 +
|-
 +
|Text Generation with Text-Editing Models
 +
|Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adamek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn
 +
|[https://aclanthology.org/2022.naacl-tutorials.1/]
 +
|-
 +
|Self-supervised Representation Learning for Speech Processing
 +
|Hung-yi Lee, Abdelrahman Mohamed, Shinji Watanabe, Tara Sainath, Karen Livescu, Shang-Wen Li, Shu-wen Yang, Katrin Kirchhoff
 +
|[https://aclanthology.org/2022.naacl-tutorials.2/]
 +
|-
 +
|New Frontiers of Information Extraction
 +
|Muhao Chen, Lifu Huang, Manling Li, Ben Zhou, Heng Ji, Dan Roth
 +
|[https://aclanthology.org/2022.naacl-tutorials.3/]
 +
|-
 +
|Human-Centered Evaluation of Explanations
 +
|Jordan Boyd-Graber, Samuel Carton, Shi Feng, Q. Vera Liao, Tania Lombrozo, Alison Smith-Renner, Chenhao Tan
 +
|[https://aclanthology.org/2022.naacl-tutorials.4/]
 +
|-
 +
|Tutorial on Multimodal Machine Learning
 +
|Louis-Philippe Morency, Paul Pu Liang, Amir Zadeh
 +
|[https://aclanthology.org/2022.naacl-tutorials.5/]
 +
|-
 +
|Contrastive Data and Learning for Natural Language Processing
 +
|Rui Zhang, Yangfeng Ji, Yue Zhang, Rebecca J. Passonneau
 +
|[https://aclanthology.org/2022.naacl-tutorials.6/]
 +
|-
 +
!colspan="3"|EMNLP 2022 [https://2022.emnlp.org/program/tutorials/]
 +
|-
 +
|Meaning Representations for Natural Languages: Design, Models and Applications
 +
|Jeffrey Flanigan, Ishan Jindal, Yunyao Li, Tim O’Gorman, Martha Palmer, Nianwen Xue
 +
|[https://aclanthology.org/2022.emnlp-tutorials.1/]
 +
|-
 +
|Arabic Natural Language Processing
 +
|Nizar Habash
 +
|[https://aclanthology.org/2022.emnlp-tutorials.2/]
 +
|-
 +
|Emergent Language-Based Coordination In Deep Multi-Agent Systems
 +
|Marco Baroni, Roberto Dessi, Angeliki Lazaridou
 +
|[https://aclanthology.org/2022.emnlp-tutorials.3/]
 +
|-
 +
|CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing
 +
|Zhijing Jin, Amir Feder, Kun Zhang
 +
|[https://aclanthology.org/2022.emnlp-tutorials.4/]
 +
|-
 +
|Modular and Parameter-Efficient Fine-Tuning for NLP Models
 +
|Sebastian Ruder, Jonas Pfeiffer, Ivan Vulić
 +
|[https://aclanthology.org/2022.emnlp-tutorials.5/]
 +
|-
 +
|Non-Autoregressive Models for Fast Sequence Generation
 +
|Yang Feng, Chenze Shao
 +
|[https://aclanthology.org/2022.emnlp-tutorials.6/]
 +
|-
 +
!colspan="3"|COLING 2022 [https://coling2022.org/Tutorial]
 +
|-
 +
|Psychological, Cognitive and Linguistic BERTology: An Idiomatic Multiword Expression Perspective
 +
|Harish Tayyar Madabushi, Carlos Ramisch, Marco Idiart, Aline Villavicencio
 +
|
 +
|-
 +
|Information Theory in Linguistics: Methods and Applications
 +
|Ryan Cotterell, Richard Futrell, Kyle Mahowald, Clara Meister, Tiago Pimentel, Adina Williams, and Aryaman Arora
 +
|
 +
|-
 +
|Uncertainty Estimation for Natural Language Processing
 +
|Adam Fisch, Robin Jia, Tal Schuster
 +
|
 +
|-
 +
|Knowledge Graph Embeddings for NLP: From Theory to Practice
 +
|Luca Costabello, Adrianna Janik, Eda Bayram, Sumit Pai
 +
|
 +
|-
 +
|NS4NLP: Neuro-Symbolic Modeling for NLP
 +
|Dan Roth, Yejin Choi, Vivek Srikumar, Dan Goldwasser, Maria L. Pacheco and Sean Welleck
 +
|
 +
|-
 +
|Analysing Human Communication: Sociopragmatic and Pragmalinguistic Models of Im/politeness and Verbal Aggression
 +
|Ritesh Kumar, Daniel Kadar and Juliane House
 +
|
 +
|-
 +
|Spatial Language Understanding: Representation, Reasoning, and Grounding
 +
|Parisa Kordjamshidi, James Pustejovsky, Sine Moens
 +
|
 +
|-
 +
|}
 +
 
 +
==2021 tutorials==
 +
 
 +
{| border="1" cellspacing="0" cellpadding="5"
 +
|'''Title'''
 +
|'''Trainers'''
 +
|'''ACL Anthology link'''
 +
|-
 +
!colspan="3"|ACL 2021 [https://2021.aclweb.org/tutorials/program/]
 +
|-
 +
|Advances in Debating Technologies: Building AI That Can Debate Humans
 +
|Roy Bar-Haim, Liat Ein-Dor, Matan Orbach, Elad Venezian, Noam Slonim
 +
|[https://aclanthology.org/2021.acl-tutorials.1/]
 +
|-
 +
|Event-Centric Natural Language Processing
 +
|Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Kathleen McKeown, Dan Roth
 +
|[https://aclanthology.org/2021.acl-tutorials.2/]
 +
|-
 +
|Meta Learning and Its Applications to Natural Language Processing
 +
|Hung-yi Lee, Ngoc Thang Vu, Shang-Wen Li
 +
|[https://aclanthology.org/2021.acl-tutorials.3/]
 +
|-
 +
|Pre-training Methods for Neural Machine Translation
 +
|Mingxuan Wang, Lei Li
 +
|[https://aclanthology.org/2021.acl-tutorials.4/]
 +
|-
 +
|Prosody: Models, Methods, and Applications
 +
|Nigel Ward, Gina-Anne Levow
 +
|[https://aclanthology.org/2021.acl-tutorials.5/]
 +
|-
 +
|Recognizing Multimodal Entailment
 +
|Cesar Ilharco, Afsaneh Shirazi, Arjun Gopalan, Arsha Nagrani, Blaz Bratanic, Chris Bregler, Christina Funk, Felipe Ferreira, Gabriel Barcik, Gabriel Ilharco, Georg Osang, Jannis Bulian, Jared Frank, Lucas Smaira, Qin Cao, Ricardo Marino, Roma Patel, Thomas Leung, Vaiva Imbrasaite
 +
|[https://aclanthology.org/2021.acl-tutorials.6/]
 +
|-
 +
!colspan="3"|EACL 2021 [https://2021.eacl.org/program/tutorials/]
 +
|-
 +
|Unsupervised Natural Language Parsing (Introductory Tutorial)
 +
|Kewei Tu, Yong Jiang, Wenjuan Han, Yanpeng Zhao
 +
|[https://aclanthology.org/2021.eacl-tutorials.1/]
 +
|-
 +
|Aggregating and Learning from Multiple Annotators
 +
|Silviu Paun, Edwin Simpson
 +
|[https://aclanthology.org/2021.eacl-tutorials.2/]
 +
|-
 +
|Tutorial: End-to-End Speech Translation
 +
|Jan Niehues, Elizabeth Salesky, Marco Turchi, Matteo Negri
 +
|[https://aclanthology.org/2021.eacl-tutorials.3/]
 +
|-
 +
|Reviewing Natural Language Processing Research
 +
|Kevin Cohen, Karën Fort, Margot Mieskes, Aurélie Névéol, Anna Rogers
 +
|[https://aclanthology.org/2021.eacl-tutorials.4/]
 +
|-
 +
|Advances and Challenges in Unsupervised Neural Machine Translation
 +
|Rui Wang, Hai Zhao
 +
|[https://aclanthology.org/2021.eacl-tutorials.5/]
 +
|-
 +
!colspan="3"|NAACL 2021 [https://2021.naacl.org/program/tutorials/]
 +
|-
 +
|Pretrained Transformers for Text Ranking: BERT and Beyond
 +
|Andrew Yates, Rodrigo Nogueira, Jimmy Lin
 +
|[https://aclanthology.org/2021.naacl-tutorials.1/]
 +
|-
 +
|Fine-grained Interpretation and Causation Analysis in Deep NLP Models
 +
|Hassan Sajjad, Narine Kokhlikyan, Fahim Dalvi, Nadir Durrani
 +
|[https://aclanthology.org/2021.naacl-tutorials.2/]
 +
|-
 +
|Deep Learning on Graphs for Natural Language Processing
 +
|Lingfei Wu, Yu Chen, Heng Ji, Yunyao Li
 +
|[https://aclanthology.org/2021.naacl-tutorials.3/]
 +
|-
 +
|A Tutorial on Evaluation Metrics used in Natural Language Generation
 +
|Mitesh M. Khapra, Ananya B. Sai
 +
|[https://aclanthology.org/2021.naacl-tutorials.4/]
 +
|-
 +
|Beyond Paragraphs: NLP for Long Sequences
 +
|Iz Beltagy, Arman Cohan, Hannaneh Hajishirzi, Sewon Min, Matthew E. Peters
 +
|[https://aclanthology.org/2021.naacl-tutorials.5/]
 +
|-
 +
|Crowdsourcing Natural Language Data at Scale: A Hands-On Tutorial
 +
|Alexey Drutsa, Dmitry Ustalov, Valentina Fedorova, Olga Megorskaya, Daria Baidakova
 +
|[https://aclanthology.org/2021.naacl-tutorials.6/]
 +
|-
 +
!colspan="3"|EMNLPL 2021 [https://2021.emnlp.org/tutorials]
 +
|-
 +
|Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection
 +
|Alane Suhr, Clara Vania, Nikita Nangia, Maarten Sap, Mark Yatskar, Samuel R. Bowman, Yoav Artzi
 +
|[https://aclanthology.org/2021.emnlp-tutorials.1/]
 +
|-
 +
|Financial Opinion Mining
 +
|Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
 +
|[https://aclanthology.org/2021.emnlp-tutorials.2/]
 +
|-
 +
|Knowledge-Enriched Natural Language Generation
 +
|Wenhao Yu, Meng Jiang, Zhiting Hu, Qingyun Wang, Heng Ji, Nazneen Rajani
 +
|[https://aclanthology.org/2021.emnlp-tutorials.3/]
 +
|-
 +
|Multi-Domain Multilingual Question Answering
 +
|Sebastian Ruder, Avi Sil
 +
|[https://aclanthology.org/2021.emnlp-tutorials.4/]
 +
|-
 +
|Robustness and Adversarial Examples in Natural Language Processing
 +
|Kai-Wei Chang, He He, Robin Jia, Sameer Singh
 +
|[https://aclanthology.org/2021.emnlp-tutorials.5/]
 +
|-
 +
|Syntax in End-to-End Natural Language Processing
 +
|Hai Zhao, Rui Wang, Kehai Chen
 +
|[https://aclanthology.org/2021.emnlp-tutorials.6/]
 +
|-
 +
|}
 +
 
 +
==2020 tutorials==
 +
 
 +
{| border="1" cellspacing="0" cellpadding="5"
 +
|'''Title'''
 +
|'''Trainers'''
 +
|'''Conference'''
 +
|'''Conference link'''
 +
|'''Virtual conference link'''
 +
|'''ACL Anthology link'''
 +
|-
 +
|Interpretability and Analysis in Neural NLP
 +
|Yonatan Belinkov, Sebastian Gehrmann and Ellie Pavlick
 +
|ACL 2020
 +
|[https://acl2020.org/program/tutorials/#t1-interpretability-and-analysis-in-neural-nlp-cutting-edge-]
 +
|[https://virtual.acl2020.org/tutorial_T1.html]
 +
|[https://www.aclweb.org/anthology/2020.acl-tutorials.1/]
 +
|-
 +
|Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web
 +
|Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard and Prashant Shiralkar
 +
|ACL 2020
 +
|[https://acl2020.org/program/tutorials/#t2-multi-modal-information-extraction-from-text-semi-structured-and-tabular-data-on-the-web-cutting-edge-]
 +
|[https://virtual.acl2020.org/tutorial_T2.html]
 +
|[https://www.aclweb.org/anthology/2020.acl-tutorials.6/]
 +
|-
 +
|Reviewing Natural Language Processing Research
 +
|Kevin Cohen, Karën Fort, Margot Mieskes and Aurélie Névéol
 +
|ACL 2020
 +
|[https://acl2020.org/program/tutorials/#t3-reviewing-natural-language-processing-research-introductory-]
 +
|[https://virtual.acl2020.org/tutorial_T3.html]
 +
|[https://www.aclweb.org/anthology/2020.acl-tutorials.4/]
 +
|-
 +
|Stylized Text Generation: Approaches and Applications
 +
|Lili Mou and Olga Vechtomova
 +
|ACL 2020
 +
|[https://acl2020.org/program/tutorials/#t4-stylized-text-generation-approaches-and-applications-cutting-edge-]
 +
|[https://virtual.acl2020.org/tutorial_T4.html]
 +
|[https://www.aclweb.org/anthology/2020.acl-tutorials.5/]
 +
|-
 +
|Achieving Common Ground in Multi-modal Dialogue
 +
|Malihe Alikhani and Matthew Stone
 +
|ACL 2020
 +
|[https://acl2020.org/program/tutorials/#t5-achieving-common-ground-in-multi-modal-dialogue-cutting-edge-]
 +
|[https://virtual.acl2020.org/tutorial_T5.html]
 +
|[https://www.aclweb.org/anthology/2020.acl-tutorials.3/]
 +
|-
 +
|Commonsense Reasoning for Natural Language Processing
 +
|Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi and Dan Roth
 +
|ACL 2020
 +
|[https://acl2020.org/program/tutorials/#t6-commonsense-reasoning-for-natural-language-processing-introductory-]
 +
|[https://virtual.acl2020.org/tutorial_T6.html]
 +
|[https://www.aclweb.org/anthology/2020.acl-tutorials.7/]
 +
|-
 +
|Integrating Ethics into the NLP Curriculum
 +
|Emily M. Bender, Dirk Hovy and Alexandra Schofield
 +
|ACL 2020
 +
|[https://acl2020.org/program/tutorials/#t7-integrating-ethics-into-the-nlp-curriculum-introductory-]
 +
|[https://virtual.acl2020.org/tutorial_T7.html]
 +
|[https://www.aclweb.org/anthology/2020.acl-tutorials.2/]
 +
|-
 +
|Open-Domain Question Answering
 +
|Danqi Chen and Scott Wen-tau Yih
 +
|ACL 2020
 +
|[https://acl2020.org/program/tutorials/#t8-open-domain-question-answering-cutting-edge-]
 +
|[https://virtual.acl2020.org/tutorial_T8.html]
 +
|[https://www.aclweb.org/anthology/2020.acl-tutorials.8/]
 +
|-
 +
|Natural Language Processing in Financial Technology Applications
 +
|Hsin-Hsi Chen, Hen-Hsen Huang and Chung-Chi Chen
 +
|AACL 2020
 +
|[https://aacl2020.org/program/tutorial_schedule/]
 +
|
 +
|
 +
|-
 +
|NLP for Healthcare in the Absence of a Healthcare Dataset
 +
|Sarvnaz Karimi and Aditya Joshi
 +
|AACL 2020
 +
|[https://aacl2020.org/program/tutorial_schedule/]
 +
|
 +
|
 +
|-
 +
|Self-Supervised Deep Learning for NLP
 +
|William Yang Wang and Xin Wang
 +
|AACL 2020
 +
|[https://aacl2020.org/program/tutorial_schedule/]
 +
|
 +
|
 +
|-
 +
|Explainability for Natural Language Processing
 +
|Shipi Dhanorkar, Christine Wolf, Kun Qian, Anbang Xu, Lucian Popa and Yunyao Li
 +
|AACL 2020
 +
|[https://aacl2020.org/program/tutorial_schedule/]
 +
|
 +
|
 +
|-
 +
|A Hitchhikers guide to using Transformers for multiple scenarios and languages
 +
|Said Bleik, Miguel Fierro, Hong Lu, Daisy Deng, Yijing Chen, Heather Spetalnick, Tao Wu and Sharat Chikkerur
 +
|AACL 2020
 +
|[https://aacl2020.org/program/tutorial_schedule/]
 +
|
 +
|
 +
|-
 +
|Advances in Debating Technologies: Building AI That Can Debate Humans
 +
|Roy Bar-Haim, Yonatan Bilu, Liat Ein-Dor and Noam Slonim
 +
|AACL 2020
 +
|[https://aacl2020.org/program/tutorial_schedule/]
 +
|
 +
|
 +
|-
 +
|Machine Reasoning: Technology, Dilemma and Future
 +
|Nan Duan, Duyu Tang, Ming Zhou
 +
|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
 +
|[https://virtual.2020.emnlp.org/tutorial_T4.html]
 +
|| [https://aclanthology.org/2020.emnlp-tutorials.1/]
 +
|-
 +
|Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era
 +
|Preslav Nakov, Giovanni Da San Martino
 +
|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
 +
|[https://virtual.2020.emnlp.org/tutorial_T2.html]
 +
|[https://aclanthology.org/2020.emnlp-tutorials.2/]
 +
|-
 +
|Interpreting Predictions of NLP Models
 +
|Eric Wallace, Matt Gardner, Sameer Singh
 +
|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
 +
|[https://virtual.2020.emnlp.org/tutorial_T1.html]
 +
|[https://aclanthology.org/2020.emnlp-tutorials.3/]
 +
|-
 +
|High Performance Natural Language Processing
 +
|Gabriel Ilharco, Cesar Ilharco, Iulia Turc, Tim Dettmers, Felipe Ferreira, Kenton Lee
 +
|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
 +
|[https://virtual.2020.emnlp.org/tutorial_T3.html]
 +
|[https://aclanthology.org/2020.emnlp-tutorials.4/]
 +
|-
 +
|Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks
 +
|Parisa Kordjamshidi, James Pustejovsky, Marie-Francine Moens
 +
|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
 +
|[https://virtual.2020.emnlp.org/tutorial_T5.html]
 +
|[https://aclanthology.org/2020.emnlp-tutorials.5/]
 +
|-
 +
|Simultaneous Translation
 +
|Liang Huang, Colin Cherry, Mingbo Ma, Naveen Arivazhagan, Zhongjun He
 +
|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
 +
|[https://virtual.2020.emnlp.org/tutorial_T6.html]
 +
|[https://aclanthology.org/2020.emnlp-tutorials.6/]
 +
|-
 +
|The Amazing World of Neural Language Generation
 +
|Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz
 +
|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
 +
|[https://virtual.2020.emnlp.org/tutorial_T7.html]
 +
|[https://aclanthology.org/2020.emnlp-tutorials.7/]
 +
|-
 +
|Cross-lingual Semantic Representation for NLP with UCCA
 +
|Omri Abend, Dotan Dvir, Daniel Hershcovich, Jakob Prange, Nathan Schneider
 +
|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
 +
|
 +
|[https://aclanthology.org/2020.coling-tutorials.1/]
 +
|-
 +
|Embeddings in Natural Language Processing
 +
|Jose Camacho-Collados, Mohammad Taher Pilehvar
 +
|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
 +
|
 +
|[https://aclanthology.org/2020.coling-tutorials.2/]
 +
|-
 +
|Multilingual Neural Machine Translation
 +
|Raj Dabre, Chenhui Chu, Anoop Kunchukuttan
 +
|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
 +
|
 +
|[https://aclanthology.org/2020.coling-tutorials.3/]
 +
|-
 +
|Detection and Resolution of Rumors and Misinformation with NLP
 +
|Leon Derczynski, Arkaitz Zubiaga
 +
|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
 +
|
 +
|[https://aclanthology.org/2020.coling-tutorials.4/]
 +
|-
 +
|A guide to the dataset explosion in QA, NLI, and commonsense reasoning
 +
|Anna Rogers, Anna Rumshisky
 +
|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
 +
|
 +
|[https://aclanthology.org/2020.coling-tutorials.5/]
 +
|-
 +
|A Crash Course in Automatic Grammatical Error Correction
 +
|Roman Grundkiewicz, Christopher Bryant, Mariano Felice
 +
|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
 +
|
 +
|[https://aclanthology.org/2020.coling-tutorials.6/]
 +
|-
 +
|Endangered Languages meet Modern NLP
 +
|Antonios Anastasopoulos, Christopher Cox, Graham Neubig, Hilaria Cruz
 +
|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
 +
|
 +
|[https://aclanthology.org/2020.coling-tutorials.7/]
 +
|-
 +
|}
  
 
==2019 tutorials==
 
==2019 tutorials==
Line 364: Line 1,033:
 
|ACL 2016
 
|ACL 2016
 
|[http://mirror.aclweb.org/acl2016/index4d04.html?article_id=59]
 
|[http://mirror.aclweb.org/acl2016/index4d04.html?article_id=59]
−
|
+
|[https://www.aclweb.org/anthology/P16-5001/]
 
|-
 
|-
 
|NLP Approaches to Computational Argumentation
 
|NLP Approaches to Computational Argumentation

Latest revision as of 21:57, 24 July 2024

This page belongs to the tutorial chair handbook. It summarizes data on tutorials which took place at some recent ACL, AACL, EACL, NAACL, EMNLP and COLING conferences.

2024 tutorials

Title Trainers ACL Anthology link
NAACL 2024 [1]
Catch Me If You GPT: Tutorial on Deepfake Texts Adaku Uchendu, Saranya Venkatraman, Thai Le, Dongwon Lee [2]
Combating Security and Privacy Issues in the Era of Large Language Models Muhao Chen, Chaowei Xiao, Huan Sun, Lei Li, Leon Derczynski, Anima Anandkumar, Fei Wang [3]
Explanation in the Era of Large Language Models Zining Zhu, Hanjie Chen, Xi Ye, Qing Lyu, Chenhao Tan, Ana Marasovic, Sarah Wiegreffe [4]
From Text to Context: Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP Adithya V Ganesan, Siddharth Mangalik, Vasudha Varadarajan, Nikita Soni, Swanie Juhng, João Sedoc, H. Andrew Schwartz, Salvatore Giorgi, Ryan L Boyd [5]
Human-AI Interaction in the Age of LLMs Diyi Yang, Sherry Tongshuang Wu, Marti A. Hearst [6]
Spatial and Temporal Language Understanding: Representation, Reasoning, and Grounding Parisa Kordjamshidi, Qiang Ning, James Pustejovsky, Marie-Francine Moens [7]
COLING 2024 [8]
Meaning Representations for Natural Languages: Design, Models and Applications Julia Bonn, Jeffrey Flanigan, Jan Hajič, Ishan Jindal, Yunyao Li and Nianwen Xue
Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs) Leshem Choshen, Ariel Gera, Yotam Perlitz, Michal Shmueli-Scheuer and Gabriel Stanovsky
The DBpedia Databus Tutorial: Increase the Visibility and Usability of Your Data Milan Dojchinovski
NLP for Chemistry — Introduction and Recent Advances Camilo Thorne and Saber Akhondi
Formal Semantic Controls over Language Models Danilo Silva de Carvalho, yingji zhang and André Freitas
Towards a Human-Computer Collaborative Scientific Paper Lifecycle: A Pilot Study and Hands-On Tutorial Qingyun Wang, Carl Edwards, Heng Ji and Tom Hope
From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and Beyond Hao Fei, Yuan Yao, Zhuosheng Zhang, Fuxiao Liu, Ao Zhang and Tat-Seng Chua
Knowledge Editing for Large Language Models Ningyu Zhang, Yunzhi Yao and Shumin Deng
Geo-Cultural Representation and Inclusion in Language Technologies Sunipa Dev and Rida Qadri
Mining, Assessing, and Improving Arguments in NLP and the Social Sciences Gabriella Lapesa, Eva Maria Vecchi, Serena Villata and Henning Wachsmuth
Hallucination in Large Language Models Vipula Rawte, Aman Chadha, Amit Sheth and Amitava Das
Addressing Bias and Hallucination in Large Language Models Nihar Sahoo, Ashita Saxena, Kishan Maharaj, Arif Ahmad, Abhijit Mishra and Pushpak Bhattacharyya
Knowledge-enhanced Response Generation in Dialogue Systems: Current Advancements and Emerging Horizons Priyanshu Priya, Deeksha Varshney, Mauajama Firdaus and Asif Ekbal

2023 tutorials

Title Trainers ACL Anthology link
ACL 2023 [9]
Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua [10]
Complex Reasoning in Natural Language Wenting Zhao, Mor Geva, Bill Yuchen Lin, Michihiro Yasunaga, Aman Madaan, Tao Yu [11]
Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world Sunayana Sitaram, Monojit Choudhury, Barun Patra, Vishrav Chaudhary, Kabir Ahuja, Kalika Bali [12]
Generating Text from Language Models Afra Amini, Ryan Cotterell, John Hewitt, Luca Malagutti, Clara Meister, Tiago Pimentel [13]
Indirectly Supervised Natural Language Processing Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth [14]
Retrieval-based Language Models and Applications Akari Asai, Sewon Min, Zexuan Zhong, Danqi Chen [15]
AACL 2023
Language and Robotics: Toward Building Robots Coexisting with Human Society Using Language Interface Yutaka Nakamura, Shuhei Kurita, Koichiro Yoshino [16]
Current Status of NLP in South East Asia with Insights from Multilingualism and Language Diversity Alham Fikri Aji, Jessica Zosa Forde, Alyssa Marie Loo, Lintang Sutawika, Skyler Wang, Genta Indra Winata, Zheng-Xin Yong, Ruochen Zhang, A. Seza Doğruöz, Yin Lin Tan, Jan Christian Blaise Cruz [17]
Practical Tools from Domain Adaptation for Designing Inclusive, Equitable, and Robust Generative AI Anthony Sicilia, Malihe Alikhani [18]
Editing Large Language Models Ningyu Zhang, Yunzhi Yao, Shumin Deng [19]
Learning WHO Saying WHAT to WHOM in Multi-Party Conversations Jia-Chen Gu, Zhuosheng Zhang, Zhen-Hua Ling [20]
Developing State-Of-The-Art Massively Multilingual Machine Translation Systems for Related Languages Jay Gala, Pranjal A. Chitale, Raj Dabre [21]
EACL 2023 [22]
Mining, Assessing, and Improving Arguments in NLP and the Social Sciences Gabriella Lapesa, Eva Maria Vecchi, Serena Villata, Henning Wachsmuth [23]
Emotion Analysis from Texts Sanja Stajner, Roman Klinger [24]
Summarization of Dialogues and Conversations At Scale Diyi Yang, Chenguang Zhu [25]
Understanding Ethics in NLP Authoring and Reviewing Luciana Benotti, Karën Fort, Min-Yen Kan, Yulia Tsvetkov [26]
AutoML for NLP Kevin Duh, Xuan Zhang [27]
Privacy-Preserving Natural Language Processing Ivan Habernal, Fatemehsadat Mireshghallah, Patricia Thaine, Sepideh Ghanavati, Oluwaseyi Feyisetan [28]
EMNLP 2023 [29]
NLP+Vis: NLP Meets Visualization Shafiq Joty, Enamul Hoque, Jesse Vig [30]
Security Challenges in Natural Language Processing Models Qiongkai Xu, Xuanli He [31]
Designing, Evaluating, and Learning from Humans Interacting with NLP Models Tongshuang Wu, Diyi Yang, Sebastin Santy [32]
LLM-driven Instruction Following: Progresses and Concerns Wenpeng Yin, Qinyuan Ye, Pengfei Liu, Xiang Ren, Hinrich Schütze [33]
Mitigating Societal Harms in Large Language Models Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov [34]
Creative Natural Language Generation Tuhin Chakrabarty, Vishakh Padmakumar, He He, Nanyun Peng [35]

2022 tutorials

Title Trainers ACL Anthology link
ACL 2022 [36]
A Gentle Introduction to Deep Nets and Opportunities for the Future Kenneth Church, Valia Kordoni, Gary Marcus, Ernest Davis, Yanjun Ma, Zeyu Chen [37]
Towards Reproducible Machine Learning Research in Natural Language Processing Ana Lucic, Maurits Bleeker, Samarth Bhargav, Jessica Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic [38]
Knowledge-Augmented Methods for Natural Language Processing Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu [39]
Non-Autoregressive Sequence Generation Jiatao Gu, Xu Tan [40]
Learning with Limited Text Data Diyi Yang, Ankur Parikh, Colin Raffel [41]
Zero- and Few-Shot NLP with Pretrained Language Models Iz Beltagy, Arman Cohan, Robert Logan IV, Sewon Min, Sameer Singh [42]
Vision-Language Pretraining: Current Trends and the Future Aishwarya Agrawal, Damien Teney, Aida Nematzadeh [43]
Natural Language Processing for Multilingual Task-Oriented Dialogue Evgeniia Razumovskaia, Goran Glavaš, Olga Majewska, Edoardo Ponti, Ivan Vulić [44]
AACL 2022
Efficient and Robust Knowledge Graph Construction Ningyu Zhang, Tao Gui, Guoshun Nan [45]
Recent Advances in Pre-trained Language Models: Why Do They Work and How Do They Work Cheng-Han Chiang, Yung-Sung Chuang, Hung-yi Lee [46]
When Cantonese NLP Meets Pre-training: Progress and Challenges Rong Xiang, Hanzhuo Tan, Jing Li, Mingyu Wan, Kam-Fai Wong [47]
Grounding Meaning Representation for Situated Reasoning Nikhil Krishnaswamy, James Pustejovsky [48]
The Battlefront of Combating Misinformation and Coping with Media Bias Yi Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji [49]
A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing Roberto Navigli, Edoardo Barba, Simone Conia, Rexhina Blloshmi [50]
NAACL 2022 [51]
Text Generation with Text-Editing Models Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adamek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn [52]
Self-supervised Representation Learning for Speech Processing Hung-yi Lee, Abdelrahman Mohamed, Shinji Watanabe, Tara Sainath, Karen Livescu, Shang-Wen Li, Shu-wen Yang, Katrin Kirchhoff [53]
New Frontiers of Information Extraction Muhao Chen, Lifu Huang, Manling Li, Ben Zhou, Heng Ji, Dan Roth [54]
Human-Centered Evaluation of Explanations Jordan Boyd-Graber, Samuel Carton, Shi Feng, Q. Vera Liao, Tania Lombrozo, Alison Smith-Renner, Chenhao Tan [55]
Tutorial on Multimodal Machine Learning Louis-Philippe Morency, Paul Pu Liang, Amir Zadeh [56]
Contrastive Data and Learning for Natural Language Processing Rui Zhang, Yangfeng Ji, Yue Zhang, Rebecca J. Passonneau [57]
EMNLP 2022 [58]
Meaning Representations for Natural Languages: Design, Models and Applications Jeffrey Flanigan, Ishan Jindal, Yunyao Li, Tim O’Gorman, Martha Palmer, Nianwen Xue [59]
Arabic Natural Language Processing Nizar Habash [60]
Emergent Language-Based Coordination In Deep Multi-Agent Systems Marco Baroni, Roberto Dessi, Angeliki Lazaridou [61]
CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing Zhijing Jin, Amir Feder, Kun Zhang [62]
Modular and Parameter-Efficient Fine-Tuning for NLP Models Sebastian Ruder, Jonas Pfeiffer, Ivan Vulić [63]
Non-Autoregressive Models for Fast Sequence Generation Yang Feng, Chenze Shao [64]
COLING 2022 [65]
Psychological, Cognitive and Linguistic BERTology: An Idiomatic Multiword Expression Perspective Harish Tayyar Madabushi, Carlos Ramisch, Marco Idiart, Aline Villavicencio
Information Theory in Linguistics: Methods and Applications Ryan Cotterell, Richard Futrell, Kyle Mahowald, Clara Meister, Tiago Pimentel, Adina Williams, and Aryaman Arora
Uncertainty Estimation for Natural Language Processing Adam Fisch, Robin Jia, Tal Schuster
Knowledge Graph Embeddings for NLP: From Theory to Practice Luca Costabello, Adrianna Janik, Eda Bayram, Sumit Pai
NS4NLP: Neuro-Symbolic Modeling for NLP Dan Roth, Yejin Choi, Vivek Srikumar, Dan Goldwasser, Maria L. Pacheco and Sean Welleck
Analysing Human Communication: Sociopragmatic and Pragmalinguistic Models of Im/politeness and Verbal Aggression Ritesh Kumar, Daniel Kadar and Juliane House
Spatial Language Understanding: Representation, Reasoning, and Grounding Parisa Kordjamshidi, James Pustejovsky, Sine Moens

2021 tutorials

Title Trainers ACL Anthology link
ACL 2021 [66]
Advances in Debating Technologies: Building AI That Can Debate Humans Roy Bar-Haim, Liat Ein-Dor, Matan Orbach, Elad Venezian, Noam Slonim [67]
Event-Centric Natural Language Processing Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Kathleen McKeown, Dan Roth [68]
Meta Learning and Its Applications to Natural Language Processing Hung-yi Lee, Ngoc Thang Vu, Shang-Wen Li [69]
Pre-training Methods for Neural Machine Translation Mingxuan Wang, Lei Li [70]
Prosody: Models, Methods, and Applications Nigel Ward, Gina-Anne Levow [71]
Recognizing Multimodal Entailment Cesar Ilharco, Afsaneh Shirazi, Arjun Gopalan, Arsha Nagrani, Blaz Bratanic, Chris Bregler, Christina Funk, Felipe Ferreira, Gabriel Barcik, Gabriel Ilharco, Georg Osang, Jannis Bulian, Jared Frank, Lucas Smaira, Qin Cao, Ricardo Marino, Roma Patel, Thomas Leung, Vaiva Imbrasaite [72]
EACL 2021 [73]
Unsupervised Natural Language Parsing (Introductory Tutorial) Kewei Tu, Yong Jiang, Wenjuan Han, Yanpeng Zhao [74]
Aggregating and Learning from Multiple Annotators Silviu Paun, Edwin Simpson [75]
Tutorial: End-to-End Speech Translation Jan Niehues, Elizabeth Salesky, Marco Turchi, Matteo Negri [76]
Reviewing Natural Language Processing Research Kevin Cohen, Karën Fort, Margot Mieskes, Aurélie Névéol, Anna Rogers [77]
Advances and Challenges in Unsupervised Neural Machine Translation Rui Wang, Hai Zhao [78]
NAACL 2021 [79]
Pretrained Transformers for Text Ranking: BERT and Beyond Andrew Yates, Rodrigo Nogueira, Jimmy Lin [80]
Fine-grained Interpretation and Causation Analysis in Deep NLP Models Hassan Sajjad, Narine Kokhlikyan, Fahim Dalvi, Nadir Durrani [81]
Deep Learning on Graphs for Natural Language Processing Lingfei Wu, Yu Chen, Heng Ji, Yunyao Li [82]
A Tutorial on Evaluation Metrics used in Natural Language Generation Mitesh M. Khapra, Ananya B. Sai [83]
Beyond Paragraphs: NLP for Long Sequences Iz Beltagy, Arman Cohan, Hannaneh Hajishirzi, Sewon Min, Matthew E. Peters [84]
Crowdsourcing Natural Language Data at Scale: A Hands-On Tutorial Alexey Drutsa, Dmitry Ustalov, Valentina Fedorova, Olga Megorskaya, Daria Baidakova [85]
EMNLPL 2021 [86]
Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection Alane Suhr, Clara Vania, Nikita Nangia, Maarten Sap, Mark Yatskar, Samuel R. Bowman, Yoav Artzi [87]
Financial Opinion Mining Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen [88]
Knowledge-Enriched Natural Language Generation Wenhao Yu, Meng Jiang, Zhiting Hu, Qingyun Wang, Heng Ji, Nazneen Rajani [89]
Multi-Domain Multilingual Question Answering Sebastian Ruder, Avi Sil [90]
Robustness and Adversarial Examples in Natural Language Processing Kai-Wei Chang, He He, Robin Jia, Sameer Singh [91]
Syntax in End-to-End Natural Language Processing Hai Zhao, Rui Wang, Kehai Chen [92]

2020 tutorials

Title Trainers Conference Conference link Virtual conference link ACL Anthology link
Interpretability and Analysis in Neural NLP Yonatan Belinkov, Sebastian Gehrmann and Ellie Pavlick ACL 2020 [93] [94] [95]
Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard and Prashant Shiralkar ACL 2020 [96] [97] [98]
Reviewing Natural Language Processing Research Kevin Cohen, Karën Fort, Margot Mieskes and Aurélie Névéol ACL 2020 [99] [100] [101]
Stylized Text Generation: Approaches and Applications Lili Mou and Olga Vechtomova ACL 2020 [102] [103] [104]
Achieving Common Ground in Multi-modal Dialogue Malihe Alikhani and Matthew Stone ACL 2020 [105] [106] [107]
Commonsense Reasoning for Natural Language Processing Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi and Dan Roth ACL 2020 [108] [109] [110]
Integrating Ethics into the NLP Curriculum Emily M. Bender, Dirk Hovy and Alexandra Schofield ACL 2020 [111] [112] [113]
Open-Domain Question Answering Danqi Chen and Scott Wen-tau Yih ACL 2020 [114] [115] [116]
Natural Language Processing in Financial Technology Applications Hsin-Hsi Chen, Hen-Hsen Huang and Chung-Chi Chen AACL 2020 [117]
NLP for Healthcare in the Absence of a Healthcare Dataset Sarvnaz Karimi and Aditya Joshi AACL 2020 [118]
Self-Supervised Deep Learning for NLP William Yang Wang and Xin Wang AACL 2020 [119]
Explainability for Natural Language Processing Shipi Dhanorkar, Christine Wolf, Kun Qian, Anbang Xu, Lucian Popa and Yunyao Li AACL 2020 [120]
A Hitchhikers guide to using Transformers for multiple scenarios and languages Said Bleik, Miguel Fierro, Hong Lu, Daisy Deng, Yijing Chen, Heather Spetalnick, Tao Wu and Sharat Chikkerur AACL 2020 [121]
Advances in Debating Technologies: Building AI That Can Debate Humans Roy Bar-Haim, Yonatan Bilu, Liat Ein-Dor and Noam Slonim AACL 2020 [122]
Machine Reasoning: Technology, Dilemma and Future Nan Duan, Duyu Tang, Ming Zhou EMNLP 2020 [123] [124] [125]
Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era Preslav Nakov, Giovanni Da San Martino EMNLP 2020 [126] [127] [128]
Interpreting Predictions of NLP Models Eric Wallace, Matt Gardner, Sameer Singh EMNLP 2020 [129] [130] [131]
High Performance Natural Language Processing Gabriel Ilharco, Cesar Ilharco, Iulia Turc, Tim Dettmers, Felipe Ferreira, Kenton Lee EMNLP 2020 [132] [133] [134]
Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks Parisa Kordjamshidi, James Pustejovsky, Marie-Francine Moens EMNLP 2020 [135] [136] [137]
Simultaneous Translation Liang Huang, Colin Cherry, Mingbo Ma, Naveen Arivazhagan, Zhongjun He EMNLP 2020 [138] [139] [140]
The Amazing World of Neural Language Generation Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz EMNLP 2020 [141] [142] [143]
Cross-lingual Semantic Representation for NLP with UCCA Omri Abend, Dotan Dvir, Daniel Hershcovich, Jakob Prange, Nathan Schneider COLING 2020 [144] [145]
Embeddings in Natural Language Processing Jose Camacho-Collados, Mohammad Taher Pilehvar COLING 2020 [146] [147]
Multilingual Neural Machine Translation Raj Dabre, Chenhui Chu, Anoop Kunchukuttan COLING 2020 [148] [149]
Detection and Resolution of Rumors and Misinformation with NLP Leon Derczynski, Arkaitz Zubiaga COLING 2020 [150] [151]
A guide to the dataset explosion in QA, NLI, and commonsense reasoning Anna Rogers, Anna Rumshisky COLING 2020 [152] [153]
A Crash Course in Automatic Grammatical Error Correction Roman Grundkiewicz, Christopher Bryant, Mariano Felice COLING 2020 [154] [155]
Endangered Languages meet Modern NLP Antonios Anastasopoulos, Christopher Cox, Graham Neubig, Hilaria Cruz COLING 2020 [156] [157]

2019 tutorials

Title Trainers Conference Conference link ACL Anthology link
Latent Structure Models for Natural Language Processing André F. T. Martins, Tsvetomila Mihaylova, Nikita Nangia and Vlad Niculae ACL 2019 [158] [159]
Graph-Based Meaning Representations: Design and Processing Alexander Koller, Stephan Oepen and Weiwei Sun ACL 2019 [160] [161]
Discourse Analysis and Its Applications Shafiq Joty, Giuseppe Carenini, Raymond Ng and Gabriel Murray ACL 2019 [162] [163]
Computational Analysis of Political Texts: Bridging Research Efforts Across Communities Goran Glavaš, Federico Nanni and Simone Paolo Ponzetto ACL 2019 [164] [165]
Wikipedia as a Resource for Text Analysis and Retrieval Marius Pasca ACL 2019 [166] [167]
Deep Bayesian Natural Language Processing Jen-Tzung Chien ACL 2019 [168] [169]
Unsupervised Cross-Lingual Representation Learning Sebastian Ruder, Anders Søgaard and Ivan Vulić ACL 2019 [170] [171]
Advances in Argument Mining Katarzyna Budzynska and Chris Reed ACL 2019 [172] [173]
Storytelling from Structured Data and Knowledge Graphs : An NLG Perspective Abhijit Mishra, Anirban Laha, Karthik Sankaranarayanan, Parag Jain and Saravanan Krishnan ACL 2019 [174] [175]
Deep Adversarial Learning for NLP William Yang Wang, Sameer Singh and Jiwei Li NAACL 2019 [176] [177]
Deep Learning for Natural Language Inference Samuel Bowman and Xiaodan Zhu NAACL 2019 [178] [179]
Measuring and Modeling Language Change Jacob Eisenstein NAACL 2019 [180] [181]
Transfer Learning in Natural Language Processing Sebastian Ruder, Matthew Peters, Swabha Swayamdipta and Thomas Wolf NAACL 2019 [182] [183]
Language Learning and Processing in People and Machines Aida Nematzadeh, Richard Futrell and Roger Levy NAACL 2019 [184] [185]
Applications of Natural Language Processing in Clinical Research and Practice Yanshan Wang, Ahmad Tafti, Sunghwan Sohn and Rui Zhang NAACL 2019 [186] [187]

2018 tutorials

Title Trainers Conference Conference link ACL Anthology link
Joint models for NLP Yue Zhang EMNLP 2018 [188]
Graph Formalisms for Meaning Representations Adam Lopez and Sorcha Gilroy EMNLP 2018 [189]
Writing Code for NLP Research Matt Gardner, Mark Neumann, Joel Grus, and Nicholas Lourie EMNLP 2018 [190]
Deep Latent Variable Models of Natural Language Alexander Rush, Yoon Kim, and Sam Wiseman EMNLP 2018 [191]
Standardized Tests as benchmarks for Artificial Intelligence Mrinmaya Sachan, Minjoon Seo, Hannaneh Hajishirzi, and Eric Xing EMNLP 2018 [192]
Deep Chit-Chat: Deep Learning for ChatBots Wei Wu and Rui Yan EMNLP 2018 [193]
100 Things You Always Wanted to Know about Semantics & Pragmatics But Were Afraid to Ask Emily M. Bender ACL 2018 [194] [195]
Neural Approaches to Conversational AI Jianfeng Gao, Michel Galley and Lihong Li ACL 2018 [196] [197]
Variational Inference and Deep Generative Models Wilker Aziz and Philip Schulz ACL 2018 [198] [199]
Connecting Language and Vision to Actions Peter Anderson, Abhishek Das and Qi Wu ACL 2018 [200] [201]
Beyond Multiword Expressions: Processing Idioms and Metaphors Valia Kordoni ACL 2018 [202] [203]
Neural Semantic Parsing Luke Zettlemoyer, Matt Gardner, Pradeep Dasigi, Srinivasan Iyer and Alane Suhr ACL 2018 [204] [205]
Deep Reinforcement Learning for NLP William Yang Wang, Jiwei Li and Xiaodong He ACL 2018 [206] [207]
Multi-lingual Entity Discovery and Linking Avirup Sil, Heng Ji, Dan Roth and Silviu-Petru Cucerzan ACL 2018 [208] [209]
Modelling Natural Language, Programs, and their Intersection Graham Neubig and Miltiadis Allamanis NAACL 2018 [210]
Deep Learning Approaches to Text Production Claire Gardent and Shashi Narayan NAACL 2018 [211]
Scalable Construction and Reasoning of Massive Knowledge Bases Xiang Ren, Nanyun Peng and William Yang Wang NAACL 2018 [212]
The interplay between lexical resources and Natural Language Processing Jose Camacho-Collados, Luis Espinosa Anke and Mohammad Taher Pilehvar NAACL 2018 [213]
Socially Responsible NLP Yulia Tsvetkov, Vinodkumar Prabhakaran and Rob Voigt NAACL 2018 [214]
Deep Learning for Conversational AI Pei-Hao Su, Nikola Mrkšić, Iñigo Casanueva, Ivan Vulić NAACL 2018 [215]
NLP for Conversations: Sentiment, Summarization, and Group Dynamics Gabriel Murray, Giuseppe Carenini and Shafiq Joty COLING 2018 [216] [217]
Practical Parsing for Downstream Applications Daniel Dakota and Sandra Kübler COLING 2018 [218] [219]
Frame Semantics across Languages: Towards a Multilingual FrameNet Collin Baker, Michael Ellsworth, Miriam R L Petruck and Swabha Swayamdipta COLING 2018 [220] [221]
Deep Bayesian Learning and Understanding Jen-Tzung Chien COLING 2018 [222] [223]
Data-Driven Text Simplification Sanja Štajner and Horacio Saggion COLING 2018 [224] [225]
Deep Learning for Dialogue Systems Yun-Nung Chen, Asli Celikyilmaz and Dilek Hakkani-Tur COLING 2018 [226] [227]

2017 tutorials

EMNLP 2017 website is no longer available. There are no traces of the AMNLP 2017 tutorials, except this Facebook post.

Title Trainers Conference Conference link ACL Anthology link
Universal Dependencies Joakim Nivre, Daniel Zeman, Filip Ginter, and Francis Tyers EACL 2017 [228]
Practical Neural Machine Translation Rico Sennrich and Barry Haddow EACL 2017 [229]
Imitation learning for structured prediction in natural language processing Andreas Vlachos, Gerasimos Lampouras and Sebastian Riedel EACL 2017 [230]
Word Vector Space Specialisation Ivan Vulić, Nikola Mrkšić, and Mohammad Taher Pilehvar EACL 2017 [231]
Integer Linear Programming formulations in Natural Language Processing Dan Roth and Vivek Srikumar EACL 2017 [232]
Building Multimodal Simulations for Natural Language James Pustejovsky and Nikhil Krishnaswamy EACL 2017 [233]
Natural Language Processing for Precision Medicine Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih ACL 2017 [234] [235]
Multimodal Machine Learning Louis-Philippe Morency and Tadas Baltrusaitis ACL 2017 [236] [237]
Deep Learning for Semantic Composition Xiaodan Zhu and Edward Grefenstette ACL 2017 [238] [239]
Deep Learning for Dialogue Systems Yun-Nung Chen, Asli Celikyilmaz, and Dilek Hakkani-Tur ACL 2017 [240] [241]
Beyond Words: Deep Learning for Multi-word Expressions and Collocations Valia Kordoni ACL 2017 [242] [243]
Making Better Use of the Crowd Jennifer Wortman Vaughan ACL 2017 [244] [245]

2016 tutorials

Title Trainers Conference Conference link ACL Anthology link
Multimodal Learning and Reasoning Desmond Elliott, Douwe Kiela and Angeliki Lazaridou ACL 2016 [246] [247]
NLP Approaches to Computational Argumentation Noam Slonim, Iryna Gurevych, Chris Reed and Benno Stein ACL 2016 [248]
Computer Aided Translation Philipp Koehn ACL 2016 [249]
Semantic Representations of Word Senses and Concepts José Camacho-Collados, Ignacio Iacobacci, Roberto Navigli and Mohammad Taher Pilehvar ACL 2016 [250]
Neural Machine Translation Thang Luong, Kyunghyun Cho and Christopher D. Manning ACL 2016 [251]
Game Theory and Natural Language: Origin, Evolution and Processing Rocco Tripodi and Marcello Pelillo ACL 2016 [252]
Understanding Short Texts Zhongyuan Wang and Haixun Wang ACL 2016 [253]
MetaNet: Repository, Identification System, and Applications Miriam R L Petruck and Ellen K Dodge ACL 2016 [254]
English Resource Semantics Dan Flickinger, Emily M. Bender, and Woodley Packard NAACL 2016 [255] [256]
Multilingual Multimodal Language Processing Using Neural Networks Mitesh M Khapra and Sarath Chandar NAACL 2016 [257] [258]
Question Answering with Knowledge Base, Web and Beyond Scott Wen-tau Yih & Hao Ma NAACL 2016 [259] [260]
Recent Progress in Deep Learning for NLP Zhengdong Lu and Hang Li NAACL 2016 [261] [262]
Scalable Statistical Relational Learning for NLP William Yang Wang and William W. Cohen NAACL 2016 [263] [264]
Statistical Machine Translation between Related Languages Pushpak Bhattacharyya, Mitesh Khapra, and Anoop Kunchukuttan NAACL 2016 [265] [266]
Practical Neural Networks for NLP: From Theory to Code Chris Dyer, Yoav Goldberg and Graham Neubig EMNLP 2016 [267]
Advanced Markov Logic Techniques for Scalable Joint Inference in NLP Deepak Venugopal, Vibhav Gogate and Vincent Ng EMNLP 2016 [268]
Lifelong Machine Learning for Natural Language Processing Zhiyuan Chen and Bing Liu EMNLP 2016 [269]
Neural Networks for Sentiment Analysis Yue Zhang and Duy Tin Vo EMNLP 2016 [270]
Continuous Vector Spaces for Cross-language NLP Applications Rafael E. Banchs EMNLP 2016 [271]
Methods and Theories for Large-scale Structured Prediction Xu Sun and Yansong Feng EMNLP 2016 [272]
Compositional Distributional Models of Meaning Mehrnoosh Sadrzadeh and Dimitri Kartsaklis COLING 2016 [273] [274]
Chinese Textual Sentiment Analysis: Datasets, Resources and Tools Lun-Wei Ku and Wei-Fan Chen COLING 2016 [275] [276]
Natural Language Processing for Intelligent Access to Scientific Information Horacio Saggion and Francesco Ronzano COLING 2016 [277] [278]
Quality Estimation for Language Output Applications Carolina Scarton, Gustavo Henrique Paetzold, and Lucia Specia COLING 2016 [279] [280]
Translationese: Between Human and Machine Translation Shuly Wintner COLING 2016 [281] [282]
Succinct Data Structures for NLP-at-Scale Matthias Petri and Trevor Cohn COLING 2016 [283] [284]
The Role of Wikipedia in Text Analysis and Retrieval Marius Pasca COLING 2016 [285] [286]

Author: Agata Savary, July 2019

Updates are welcome

Retrieved from "https://www.aclweb.org/adminwiki/index.php?title=Past_tutorials&oldid=76025"