| Recent Advances in Open-Domain Question Answering
|
Danqi Chen and Scott Wen-tau Yih
|
ACL 2020
|
[8]
|
TO BE COMPLETED
}
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
|
[9]
|
[10]
|
| Graph-Based Meaning Representations: Design and Processing
|
Alexander Koller, Stephan Oepen and Weiwei Sun
|
ACL 2019
|
[11]
|
[12]
|
| Discourse Analysis and Its Applications
|
Shafiq Joty, Giuseppe Carenini, Raymond Ng and Gabriel Murray
|
ACL 2019
|
[13]
|
[14]
|
| Computational Analysis of Political Texts: Bridging Research Efforts Across Communities
|
Goran Glavaš, Federico Nanni and Simone Paolo Ponzetto
|
ACL 2019
|
[15]
|
[16]
|
| Wikipedia as a Resource for Text Analysis and Retrieval
|
Marius Pasca
|
ACL 2019
|
[17]
|
[18]
|
| Deep Bayesian Natural Language Processing
|
Jen-Tzung Chien
|
ACL 2019
|
[19]
|
[20]
|
| Unsupervised Cross-Lingual Representation Learning
|
Sebastian Ruder, Anders Søgaard and Ivan Vulić
|
ACL 2019
|
[21]
|
[22]
|
| Advances in Argument Mining
|
Katarzyna Budzynska and Chris Reed
|
ACL 2019
|
[23]
|
[24]
|
| Storytelling from Structured Data and Knowledge Graphs : An NLG Perspective
|
Abhijit Mishra, Anirban Laha, Karthik Sankaranarayanan, Parag Jain and Saravanan Krishnan
|
ACL 2019
|
[25]
|
[26]
|
| Deep Adversarial Learning for NLP
|
William Yang Wang, Sameer Singh and Jiwei Li
|
NAACL 2019
|
[27]
|
[28]
|
| Deep Learning for Natural Language Inference
|
Samuel Bowman and Xiaodan Zhu
|
NAACL 2019
|
[29]
|
[30]
|
| Measuring and Modeling Language Change
|
Jacob Eisenstein
|
NAACL 2019
|
[31]
|
[32]
|
| Transfer Learning in Natural Language Processing
|
Sebastian Ruder, Matthew Peters, Swabha Swayamdipta and Thomas Wolf
|
NAACL 2019
|
[33]
|
[34]
|
| Language Learning and Processing in People and Machines
|
Aida Nematzadeh, Richard Futrell and Roger Levy
|
NAACL 2019
|
[35]
|
[36]
|
| Applications of Natural Language Processing in Clinical Research and Practice
|
Yanshan Wang, Ahmad Tafti, Sunghwan Sohn and Rui Zhang
|
NAACL 2019
|
[37]
|
[38]
|
2018 tutorials
| Title
|
Trainers
|
Conference
|
Conference link
|
ACL Anthology link
|
| Joint models for NLP
|
Yue Zhang
|
EMNLP 2018
|
[39]
|
|
| Graph Formalisms for Meaning Representations
|
Adam Lopez and Sorcha Gilroy
|
EMNLP 2018
|
[40]
|
|
| Writing Code for NLP Research
|
Matt Gardner, Mark Neumann, Joel Grus, and Nicholas Lourie
|
EMNLP 2018
|
[41]
|
|
| Deep Latent Variable Models of Natural Language
|
Alexander Rush, Yoon Kim, and Sam Wiseman
|
EMNLP 2018
|
[42]
|
|
| Standardized Tests as benchmarks for Artificial Intelligence
|
Mrinmaya Sachan, Minjoon Seo, Hannaneh Hajishirzi, and Eric Xing
|
EMNLP 2018
|
[43]
|
|
| Deep Chit-Chat: Deep Learning for ChatBots
|
Wei Wu and Rui Yan
|
EMNLP 2018
|
[44]
|
|
| 100 Things You Always Wanted to Know about Semantics & Pragmatics But Were Afraid to Ask
|
Emily M. Bender
|
ACL 2018
|
[45]
|
[46]
|
| Neural Approaches to Conversational AI
|
Jianfeng Gao, Michel Galley and Lihong Li
|
ACL 2018
|
[47]
|
[48]
|
| Variational Inference and Deep Generative Models
|
Wilker Aziz and Philip Schulz
|
ACL 2018
|
[49]
|
[50]
|
| Connecting Language and Vision to Actions
|
Peter Anderson, Abhishek Das and Qi Wu
|
ACL 2018
|
[51]
|
[52]
|
| Beyond Multiword Expressions: Processing Idioms and Metaphors
|
Valia Kordoni
|
ACL 2018
|
[53]
|
[54]
|
| Neural Semantic Parsing
|
Luke Zettlemoyer, Matt Gardner, Pradeep Dasigi, Srinivasan Iyer and Alane Suhr
|
ACL 2018
|
[55]
|
[56]
|
| Deep Reinforcement Learning for NLP
|
William Yang Wang, Jiwei Li and Xiaodong He
|
ACL 2018
|
[57]
|
[58]
|
| Multi-lingual Entity Discovery and Linking
|
Avirup Sil, Heng Ji, Dan Roth and Silviu-Petru Cucerzan
|
ACL 2018
|
[59]
|
[60]
|
| Modelling Natural Language, Programs, and their Intersection
|
Graham Neubig and Miltiadis Allamanis
|
NAACL 2018
|
|
[61]
|
| Deep Learning Approaches to Text Production
|
Claire Gardent and Shashi Narayan
|
NAACL 2018
|
|
[62]
|
| Scalable Construction and Reasoning of Massive Knowledge Bases
|
Xiang Ren, Nanyun Peng and William Yang Wang
|
NAACL 2018
|
|
[63]
|
| The interplay between lexical resources and Natural Language Processing
|
Jose Camacho-Collados, Luis Espinosa Anke and Mohammad Taher Pilehvar
|
NAACL 2018
|
|
[64]
|
| Socially Responsible NLP
|
Yulia Tsvetkov, Vinodkumar Prabhakaran and Rob Voigt
|
NAACL 2018
|
|
[65]
|
| Deep Learning for Conversational AI
|
Pei-Hao Su, Nikola Mrkšić, Iñigo Casanueva, Ivan Vulić
|
NAACL 2018
|
|
[66]
|
| NLP for Conversations: Sentiment, Summarization, and Group Dynamics
|
Gabriel Murray, Giuseppe Carenini and Shafiq Joty
|
COLING 2018
|
[67]
|
[68]
|
| Practical Parsing for Downstream Applications
|
Daniel Dakota and Sandra Kübler
|
COLING 2018
|
[69]
|
[70]
|
| Frame Semantics across Languages: Towards a Multilingual FrameNet
|
Collin Baker, Michael Ellsworth, Miriam R L Petruck and Swabha Swayamdipta
|
COLING 2018
|
[71]
|
[72]
|
| Deep Bayesian Learning and Understanding
|
Jen-Tzung Chien
|
COLING 2018
|
[73]
|
[74]
|
| Data-Driven Text Simplification
|
Sanja Štajner and Horacio Saggion
|
COLING 2018
|
[75]
|
[76]
|
| Deep Learning for Dialogue Systems
|
Yun-Nung Chen, Asli Celikyilmaz and Dilek Hakkani-Tur
|
COLING 2018
|
[77]
|
[78]
|
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
|
[79]
|
|
| Practical Neural Machine Translation
|
Rico Sennrich and Barry Haddow
|
EACL 2017
|
[80]
|
|
| Imitation learning for structured prediction in natural language processing
|
Andreas Vlachos, Gerasimos Lampouras and Sebastian Riedel
|
EACL 2017
|
[81]
|
|
| Word Vector Space Specialisation
|
Ivan Vulić, Nikola Mrkšić, and Mohammad Taher Pilehvar
|
EACL 2017
|
[82]
|
|
| Integer Linear Programming formulations in Natural Language Processing
|
Dan Roth and Vivek Srikumar
|
EACL 2017
|
[83]
|
|
| Building Multimodal Simulations for Natural Language
|
James Pustejovsky and Nikhil Krishnaswamy
|
EACL 2017
|
[84]
|
|
| Natural Language Processing for Precision Medicine
|
Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih
|
ACL 2017
|
[85]
|
[86]
|
| Multimodal Machine Learning
|
Louis-Philippe Morency and Tadas Baltrusaitis
|
ACL 2017
|
[87]
|
[88]
|
| Deep Learning for Semantic Composition
|
Xiaodan Zhu and Edward Grefenstette
|
ACL 2017
|
[89]
|
[90]
|
| Deep Learning for Dialogue Systems
|
Yun-Nung Chen, Asli Celikyilmaz, and Dilek Hakkani-Tur
|
ACL 2017
|
[91]
|
[92]
|
| Beyond Words: Deep Learning for Multi-word Expressions and Collocations
|
Valia Kordoni
|
ACL 2017
|
[93]
|
[94]
|
| Making Better Use of the Crowd
|
Jennifer Wortman Vaughan
|
ACL 2017
|
[95]
|
[96]
|
2016 tutorials
| Title
|
Trainers
|
Conference
|
Conference link
|
ACL Anthology link
|
| Multimodal Learning and Reasoning
|
Desmond Elliott, Douwe Kiela and Angeliki Lazaridou
|
ACL 2016
|
[97]
|
|
| NLP Approaches to Computational Argumentation
|
Noam Slonim, Iryna Gurevych, Chris Reed and Benno Stein
|
ACL 2016
|
[98]
|
|
| Computer Aided Translation
|
Philipp Koehn
|
ACL 2016
|
[99]
|
|
| Semantic Representations of Word Senses and Concepts
|
José Camacho-Collados, Ignacio Iacobacci, Roberto Navigli and Mohammad Taher Pilehvar
|
ACL 2016
|
[100]
|
|
| Neural Machine Translation
|
Thang Luong, Kyunghyun Cho and Christopher D. Manning
|
ACL 2016
|
[101]
|
|
| Game Theory and Natural Language: Origin, Evolution and Processing
|
Rocco Tripodi and Marcello Pelillo
|
ACL 2016
|
[102]
|
|
| Understanding Short Texts
|
Zhongyuan Wang and Haixun Wang
|
ACL 2016
|
[103]
|
|
| MetaNet: Repository, Identification System, and Applications
|
Miriam R L Petruck and Ellen K Dodge
|
ACL 2016
|
[104]
|
|
| English Resource Semantics
|
Dan Flickinger, Emily M. Bender, and Woodley Packard
|
NAACL 2016
|
[105]
|
[106]
|
| Multilingual Multimodal Language Processing Using Neural Networks
|
Mitesh M Khapra and Sarath Chandar
|
NAACL 2016
|
[107]
|
[108]
|
| Question Answering with Knowledge Base, Web and Beyond
|
Scott Wen-tau Yih & Hao Ma
|
NAACL 2016
|
[109]
|
[110]
|
| Recent Progress in Deep Learning for NLP
|
Zhengdong Lu and Hang Li
|
NAACL 2016
|
[111]
|
[112]
|
| Scalable Statistical Relational Learning for NLP
|
William Yang Wang and William W. Cohen
|
NAACL 2016
|
[113]
|
[114]
|
| Statistical Machine Translation between Related Languages
|
Pushpak Bhattacharyya, Mitesh Khapra, and Anoop Kunchukuttan
|
NAACL 2016
|
[115]
|
[116]
|
| Practical Neural Networks for NLP: From Theory to Code
|
Chris Dyer, Yoav Goldberg and Graham Neubig
|
EMNLP 2016
|
[117]
|
|
| Advanced Markov Logic Techniques for Scalable Joint Inference in NLP
|
Deepak Venugopal, Vibhav Gogate and Vincent Ng
|
EMNLP 2016
|
[118]
|
|
| Lifelong Machine Learning for Natural Language Processing
|
Zhiyuan Chen and Bing Liu
|
EMNLP 2016
|
[119]
|
|
| Neural Networks for Sentiment Analysis
|
Yue Zhang and Duy Tin Vo
|
EMNLP 2016
|
[120]
|
|
| Continuous Vector Spaces for Cross-language NLP Applications
|
Rafael E. Banchs
|
EMNLP 2016
|
[121]
|
|
| Methods and Theories for Large-scale Structured Prediction
|
Xu Sun and Yansong Feng
|
EMNLP 2016
|
[122]
|
|
| Compositional Distributional Models of Meaning
|
Mehrnoosh Sadrzadeh and Dimitri Kartsaklis
|
COLING 2016
|
[123]
|
[124]
|
| Chinese Textual Sentiment Analysis: Datasets, Resources and Tools
|
Lun-Wei Ku and Wei-Fan Chen
|
COLING 2016
|
[125]
|
[126]
|
| Natural Language Processing for Intelligent Access to Scientific Information
|
Horacio Saggion and Francesco Ronzano
|
COLING 2016
|
[127]
|
[128]
|
| Quality Estimation for Language Output Applications
|
Carolina Scarton, Gustavo Henrique Paetzold, and Lucia Specia
|
COLING 2016
|
[129]
|
[130]
|
| Translationese: Between Human and Machine Translation
|
Shuly Wintner
|
COLING 2016
|
[131]
|
[132]
|
| Succinct Data Structures for NLP-at-Scale
|
Matthias Petri and Trevor Cohn
|
COLING 2016
|
[133]
|
[134]
|
| The Role of Wikipedia in Text Analysis and Retrieval
|
Marius Pasca
|
COLING 2016
|
[135]
|
[136]
|
Author: Agata Savary, July 2019
Updates are welcome
|