Past tutorials

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.

2021 tutorials

Title	Trainers	ACL Anthology link
ACL 2021 [1]
Advances in Debating Technologies: Building AI That Can Debate Humans	Roy Bar-Haim, Liat Ein-Dor, Matan Orbach, Elad Venezian, Noam Slonim	[2]
Event-Centric Natural Language Processing	Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Kathleen McKeown, Dan Roth	[3]
Meta Learning and Its Applications to Natural Language Processing	Hung-yi Lee, Ngoc Thang Vu, Shang-Wen Li	[4]
Pre-training Methods for Neural Machine Translation	Mingxuan Wang, Lei Li	[5]
Prosody: Models, Methods, and Applications	Nigel Ward, Gina-Anne Levow	[6]
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	[7]
EACL 2021 [8]
Unsupervised Natural Language Parsing (Introductory Tutorial)	Kewei Tu, Yong Jiang, Wenjuan Han, Yanpeng Zhao	[9]
Aggregating and Learning from Multiple Annotators	Silviu Paun, Edwin Simpson	[10]
Tutorial: End-to-End Speech Translation	Jan Niehues, Elizabeth Salesky, Marco Turchi, Matteo Negri	[11]
Reviewing Natural Language Processing Research	Kevin Cohen, Karën Fort, Margot Mieskes, Aurélie Névéol, Anna Rogers	[12]
Advances and Challenges in Unsupervised Neural Machine Translation	Rui Wang, Hai Zhao	[13]
NAACL 2021 [14]
Pretrained Transformers for Text Ranking: BERT and Beyond	Andrew Yates, Rodrigo Nogueira, Jimmy Lin	[15]
Fine-grained Interpretation and Causation Analysis in Deep NLP Models	Hassan Sajjad, Narine Kokhlikyan, Fahim Dalvi, Nadir Durrani	[16]
Deep Learning on Graphs for Natural Language Processing	Lingfei Wu, Yu Chen, Heng Ji, Yunyao Li	[17]
A Tutorial on Evaluation Metrics used in Natural Language Generation	Mitesh M. Khapra, Ananya B. Sai	[18]
Beyond Paragraphs: NLP for Long Sequences	Iz Beltagy, Arman Cohan, Hannaneh Hajishirzi, Sewon Min, Matthew E. Peters	[19]
Crowdsourcing Natural Language Data at Scale: A Hands-On Tutorial	Alexey Drutsa, Dmitry Ustalov, Valentina Fedorova, Olga Megorskaya, Daria Baidakova	[20]
EMNLPL 2021 [21]
Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection	Alane Suhr, Clara Vania, Nikita Nangia, Maarten Sap, Mark Yatskar, Samuel R. Bowman, Yoav Artzi	[22]
Financial Opinion Mining	Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen	[23]
Knowledge-Enriched Natural Language Generation	Wenhao Yu, Meng Jiang, Zhiting Hu, Qingyun Wang, Heng Ji, Nazneen Rajani	[24]
Multi-Domain Multilingual Question Answering	Sebastian Ruder, Avi Sil	[25]
Robustness and Adversarial Examples in Natural Language Processing	Kai-Wei Chang, He He, Robin Jia, Sameer Singh	[26]
Syntax in End-to-End Natural Language Processing	Hai Zhao, Rui Wang, Kehai Chen	[27]

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	[28]	[29]	[30]
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	[31]	[32]	[33]
Reviewing Natural Language Processing Research	Kevin Cohen, Karën Fort, Margot Mieskes and Aurélie Névéol	ACL 2020	[34]	[35]	[36]
Stylized Text Generation: Approaches and Applications	Lili Mou and Olga Vechtomova	ACL 2020	[37]	[38]	[39]
Achieving Common Ground in Multi-modal Dialogue	Malihe Alikhani and Matthew Stone	ACL 2020	[40]	[41]	[42]
Commonsense Reasoning for Natural Language Processing	Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi and Dan Roth	ACL 2020	[43]	[44]	[45]
Integrating Ethics into the NLP Curriculum	Emily M. Bender, Dirk Hovy and Alexandra Schofield	ACL 2020	[46]	[47]	[48]
Open-Domain Question Answering	Danqi Chen and Scott Wen-tau Yih	ACL 2020	[49]	[50]	[51]
Natural Language Processing in Financial Technology Applications	Hsin-Hsi Chen, Hen-Hsen Huang and Chung-Chi Chen	AACL 2020	[52]
NLP for Healthcare in the Absence of a Healthcare Dataset	Sarvnaz Karimi and Aditya Joshi	AACL 2020	[53]
Self-Supervised Deep Learning for NLP	William Yang Wang and Xin Wang	AACL 2020	[54]
Explainability for Natural Language Processing	Shipi Dhanorkar, Christine Wolf, Kun Qian, Anbang Xu, Lucian Popa and Yunyao Li	AACL 2020	[55]
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	[56]
Advances in Debating Technologies: Building AI That Can Debate Humans	Roy Bar-Haim, Yonatan Bilu, Liat Ein-Dor and Noam Slonim	AACL 2020	[57]
Machine Reasoning: Technology, Dilemma and Future	Nan Duan, Duyu Tang, Ming Zhou	EMNLP 2020	[58]	[59]	[60]
Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era	Preslav Nakov, Giovanni Da San Martino	EMNLP 2020	[61]	[62]	[63]
Interpreting Predictions of NLP Models	Eric Wallace, Matt Gardner, Sameer Singh	EMNLP 2020	[64]	[65]	[66]
High Performance Natural Language Processing	Gabriel Ilharco, Cesar Ilharco, Iulia Turc, Tim Dettmers, Felipe Ferreira, Kenton Lee	EMNLP 2020	[67]	[68]	[69]
Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks	Parisa Kordjamshidi, James Pustejovsky, Marie-Francine Moens	EMNLP 2020	[70]	[71]	[72]
Simultaneous Translation	Liang Huang, Colin Cherry, Mingbo Ma, Naveen Arivazhagan, Zhongjun He	EMNLP 2020	[73]	[74]	[75]
The Amazing World of Neural Language Generation	Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz	EMNLP 2020	[76]	[77]	[78]
Cross-lingual Semantic Representation for NLP with UCCA	Omri Abend, Dotan Dvir, Daniel Hershcovich, Jakob Prange, Nathan Schneider	COLING 2020	[79]		[80]
Embeddings in Natural Language Processing	Jose Camacho-Collados, Mohammad Taher Pilehvar	COLING 2020	[81]		[82]
Multilingual Neural Machine Translation	Raj Dabre, Chenhui Chu, Anoop Kunchukuttan	COLING 2020	[83]		[84]
Detection and Resolution of Rumors and Misinformation with NLP	Leon Derczynski, Arkaitz Zubiaga	COLING 2020	[85]		[86]
A guide to the dataset explosion in QA, NLI, and commonsense reasoning	Anna Rogers, Anna Rumshisky	COLING 2020	[87]		[88]
A Crash Course in Automatic Grammatical Error Correction	Roman Grundkiewicz, Christopher Bryant, Mariano Felice	COLING 2020	[89]		[90]
Endangered Languages meet Modern NLP	Antonios Anastasopoulos, Christopher Cox, Graham Neubig, Hilaria Cruz	COLING 2020	[91]		[92]

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	[93]	[94]
Graph-Based Meaning Representations: Design and Processing	Alexander Koller, Stephan Oepen and Weiwei Sun	ACL 2019	[95]	[96]
Discourse Analysis and Its Applications	Shafiq Joty, Giuseppe Carenini, Raymond Ng and Gabriel Murray	ACL 2019	[97]	[98]
Computational Analysis of Political Texts: Bridging Research Efforts Across Communities	Goran Glavaš, Federico Nanni and Simone Paolo Ponzetto	ACL 2019	[99]	[100]
Wikipedia as a Resource for Text Analysis and Retrieval	Marius Pasca	ACL 2019	[101]	[102]
Deep Bayesian Natural Language Processing	Jen-Tzung Chien	ACL 2019	[103]	[104]
Unsupervised Cross-Lingual Representation Learning	Sebastian Ruder, Anders Søgaard and Ivan Vulić	ACL 2019	[105]	[106]
Advances in Argument Mining	Katarzyna Budzynska and Chris Reed	ACL 2019	[107]	[108]
Storytelling from Structured Data and Knowledge Graphs : An NLG Perspective	Abhijit Mishra, Anirban Laha, Karthik Sankaranarayanan, Parag Jain and Saravanan Krishnan	ACL 2019	[109]	[110]
Deep Adversarial Learning for NLP	William Yang Wang, Sameer Singh and Jiwei Li	NAACL 2019	[111]	[112]
Deep Learning for Natural Language Inference	Samuel Bowman and Xiaodan Zhu	NAACL 2019	[113]	[114]
Measuring and Modeling Language Change	Jacob Eisenstein	NAACL 2019	[115]	[116]
Transfer Learning in Natural Language Processing	Sebastian Ruder, Matthew Peters, Swabha Swayamdipta and Thomas Wolf	NAACL 2019	[117]	[118]
Language Learning and Processing in People and Machines	Aida Nematzadeh, Richard Futrell and Roger Levy	NAACL 2019	[119]	[120]
Applications of Natural Language Processing in Clinical Research and Practice	Yanshan Wang, Ahmad Tafti, Sunghwan Sohn and Rui Zhang	NAACL 2019	[121]	[122]

2018 tutorials

Title	Trainers	Conference	Conference link	ACL Anthology link
Joint models for NLP	Yue Zhang	EMNLP 2018	[123]
Graph Formalisms for Meaning Representations	Adam Lopez and Sorcha Gilroy	EMNLP 2018	[124]
Writing Code for NLP Research	Matt Gardner, Mark Neumann, Joel Grus, and Nicholas Lourie	EMNLP 2018	[125]
Deep Latent Variable Models of Natural Language	Alexander Rush, Yoon Kim, and Sam Wiseman	EMNLP 2018	[126]
Standardized Tests as benchmarks for Artificial Intelligence	Mrinmaya Sachan, Minjoon Seo, Hannaneh Hajishirzi, and Eric Xing	EMNLP 2018	[127]
Deep Chit-Chat: Deep Learning for ChatBots	Wei Wu and Rui Yan	EMNLP 2018	[128]
100 Things You Always Wanted to Know about Semantics & Pragmatics But Were Afraid to Ask	Emily M. Bender	ACL 2018	[129]	[130]
Neural Approaches to Conversational AI	Jianfeng Gao, Michel Galley and Lihong Li	ACL 2018	[131]	[132]
Variational Inference and Deep Generative Models	Wilker Aziz and Philip Schulz	ACL 2018	[133]	[134]
Connecting Language and Vision to Actions	Peter Anderson, Abhishek Das and Qi Wu	ACL 2018	[135]	[136]
Beyond Multiword Expressions: Processing Idioms and Metaphors	Valia Kordoni	ACL 2018	[137]	[138]
Neural Semantic Parsing	Luke Zettlemoyer, Matt Gardner, Pradeep Dasigi, Srinivasan Iyer and Alane Suhr	ACL 2018	[139]	[140]
Deep Reinforcement Learning for NLP	William Yang Wang, Jiwei Li and Xiaodong He	ACL 2018	[141]	[142]
Multi-lingual Entity Discovery and Linking	Avirup Sil, Heng Ji, Dan Roth and Silviu-Petru Cucerzan	ACL 2018	[143]	[144]
Modelling Natural Language, Programs, and their Intersection	Graham Neubig and Miltiadis Allamanis	NAACL 2018		[145]
Deep Learning Approaches to Text Production	Claire Gardent and Shashi Narayan	NAACL 2018		[146]
Scalable Construction and Reasoning of Massive Knowledge Bases	Xiang Ren, Nanyun Peng and William Yang Wang	NAACL 2018		[147]
The interplay between lexical resources and Natural Language Processing	Jose Camacho-Collados, Luis Espinosa Anke and Mohammad Taher Pilehvar	NAACL 2018		[148]
Socially Responsible NLP	Yulia Tsvetkov, Vinodkumar Prabhakaran and Rob Voigt	NAACL 2018		[149]
Deep Learning for Conversational AI	Pei-Hao Su, Nikola Mrkšić, Iñigo Casanueva, Ivan Vulić	NAACL 2018		[150]
NLP for Conversations: Sentiment, Summarization, and Group Dynamics	Gabriel Murray, Giuseppe Carenini and Shafiq Joty	COLING 2018	[151]	[152]
Practical Parsing for Downstream Applications	Daniel Dakota and Sandra Kübler	COLING 2018	[153]	[154]
Frame Semantics across Languages: Towards a Multilingual FrameNet	Collin Baker, Michael Ellsworth, Miriam R L Petruck and Swabha Swayamdipta	COLING 2018	[155]	[156]
Deep Bayesian Learning and Understanding	Jen-Tzung Chien	COLING 2018	[157]	[158]
Data-Driven Text Simplification	Sanja Štajner and Horacio Saggion	COLING 2018	[159]	[160]
Deep Learning for Dialogue Systems	Yun-Nung Chen, Asli Celikyilmaz and Dilek Hakkani-Tur	COLING 2018	[161]	[162]

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	[163]
Practical Neural Machine Translation	Rico Sennrich and Barry Haddow	EACL 2017	[164]
Imitation learning for structured prediction in natural language processing	Andreas Vlachos, Gerasimos Lampouras and Sebastian Riedel	EACL 2017	[165]
Word Vector Space Specialisation	Ivan Vulić, Nikola Mrkšić, and Mohammad Taher Pilehvar	EACL 2017	[166]
Integer Linear Programming formulations in Natural Language Processing	Dan Roth and Vivek Srikumar	EACL 2017	[167]
Building Multimodal Simulations for Natural Language	James Pustejovsky and Nikhil Krishnaswamy	EACL 2017	[168]
Natural Language Processing for Precision Medicine	Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih	ACL 2017	[169]	[170]
Multimodal Machine Learning	Louis-Philippe Morency and Tadas Baltrusaitis	ACL 2017	[171]	[172]
Deep Learning for Semantic Composition	Xiaodan Zhu and Edward Grefenstette	ACL 2017	[173]	[174]
Deep Learning for Dialogue Systems	Yun-Nung Chen, Asli Celikyilmaz, and Dilek Hakkani-Tur	ACL 2017	[175]	[176]
Beyond Words: Deep Learning for Multi-word Expressions and Collocations	Valia Kordoni	ACL 2017	[177]	[178]
Making Better Use of the Crowd	Jennifer Wortman Vaughan	ACL 2017	[179]	[180]

2016 tutorials

Title	Trainers	Conference	Conference link	ACL Anthology link
Multimodal Learning and Reasoning	Desmond Elliott, Douwe Kiela and Angeliki Lazaridou	ACL 2016	[181]	[182]
NLP Approaches to Computational Argumentation	Noam Slonim, Iryna Gurevych, Chris Reed and Benno Stein	ACL 2016	[183]
Computer Aided Translation	Philipp Koehn	ACL 2016	[184]
Semantic Representations of Word Senses and Concepts	José Camacho-Collados, Ignacio Iacobacci, Roberto Navigli and Mohammad Taher Pilehvar	ACL 2016	[185]
Neural Machine Translation	Thang Luong, Kyunghyun Cho and Christopher D. Manning	ACL 2016	[186]
Game Theory and Natural Language: Origin, Evolution and Processing	Rocco Tripodi and Marcello Pelillo	ACL 2016	[187]
Understanding Short Texts	Zhongyuan Wang and Haixun Wang	ACL 2016	[188]
MetaNet: Repository, Identification System, and Applications	Miriam R L Petruck and Ellen K Dodge	ACL 2016	[189]
English Resource Semantics	Dan Flickinger, Emily M. Bender, and Woodley Packard	NAACL 2016	[190]	[191]
Multilingual Multimodal Language Processing Using Neural Networks	Mitesh M Khapra and Sarath Chandar	NAACL 2016	[192]	[193]
Question Answering with Knowledge Base, Web and Beyond	Scott Wen-tau Yih & Hao Ma	NAACL 2016	[194]	[195]
Recent Progress in Deep Learning for NLP	Zhengdong Lu and Hang Li	NAACL 2016	[196]	[197]
Scalable Statistical Relational Learning for NLP	William Yang Wang and William W. Cohen	NAACL 2016	[198]	[199]
Statistical Machine Translation between Related Languages	Pushpak Bhattacharyya, Mitesh Khapra, and Anoop Kunchukuttan	NAACL 2016	[200]	[201]
Practical Neural Networks for NLP: From Theory to Code	Chris Dyer, Yoav Goldberg and Graham Neubig	EMNLP 2016	[202]
Advanced Markov Logic Techniques for Scalable Joint Inference in NLP	Deepak Venugopal, Vibhav Gogate and Vincent Ng	EMNLP 2016	[203]
Lifelong Machine Learning for Natural Language Processing	Zhiyuan Chen and Bing Liu	EMNLP 2016	[204]
Neural Networks for Sentiment Analysis	Yue Zhang and Duy Tin Vo	EMNLP 2016	[205]
Continuous Vector Spaces for Cross-language NLP Applications	Rafael E. Banchs	EMNLP 2016	[206]
Methods and Theories for Large-scale Structured Prediction	Xu Sun and Yansong Feng	EMNLP 2016	[207]
Compositional Distributional Models of Meaning	Mehrnoosh Sadrzadeh and Dimitri Kartsaklis	COLING 2016	[208]	[209]
Chinese Textual Sentiment Analysis: Datasets, Resources and Tools	Lun-Wei Ku and Wei-Fan Chen	COLING 2016	[210]	[211]
Natural Language Processing for Intelligent Access to Scientific Information	Horacio Saggion and Francesco Ronzano	COLING 2016	[212]	[213]
Quality Estimation for Language Output Applications	Carolina Scarton, Gustavo Henrique Paetzold, and Lucia Specia	COLING 2016	[214]	[215]
Translationese: Between Human and Machine Translation	Shuly Wintner	COLING 2016	[216]	[217]
Succinct Data Structures for NLP-at-Scale	Matthias Petri and Trevor Cohn	COLING 2016	[218]	[219]
The Role of Wikipedia in Text Analysis and Retrieval	Marius Pasca	COLING 2016	[220]	[221]

Author: Agata Savary, July 2019

Updates are welcome