Difference between revisions of "Past tutorials"

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|[https://www.aclweb.org/anthology/2020.acl-tutorials.8/]
 
|[https://www.aclweb.org/anthology/2020.acl-tutorials.8/]
 
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|TO BE COMPLETED for AACL, EMNLP and COLING 2020
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|Natural Language Processing in Financial Technology Applications
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|Hsin-Hsi Chen, Hen-Hsen Huang and Chung-Chi Chen
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|AACL 2020
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|[https://aacl2020.org/program/tutorial_schedule/]
 
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|-
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|NLP for Healthcare in the Absence of a Healthcare Dataset
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|Sarvnaz Karimi and Aditya Joshi
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|AACL 2020
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|[https://aacl2020.org/program/tutorial_schedule/]
 
|
 
|
 
|
 
|
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|-
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|Self-Supervised Deep Learning for NLP
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|William Yang Wang and Xin Wang
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|AACL 2020
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|[https://aacl2020.org/program/tutorial_schedule/]
 
|
 
|
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|
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|-
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|Explainability for Natural Language Processing
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|Shipi Dhanorkar, Christine Wolf, Kun Qian, Anbang Xu, Lucian Popa and Yunyao Li
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|AACL 2020
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|[https://aacl2020.org/program/tutorial_schedule/]
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|
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|
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|A Hitchhikers guide to using Transformers for multiple scenarios and languages
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|Said Bleik, Miguel Fierro, Hong Lu, Daisy Deng, Yijing Chen, Heather Spetalnick, Tao Wu and Sharat Chikkerur
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|AACL 2020
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|[https://aacl2020.org/program/tutorial_schedule/]
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|
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|
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|-
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|Advances in Debating Technologies: Building AI That Can Debate Humans
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|Roy Bar-Haim, Yonatan Bilu, Liat Ein-Dor and Noam Slonim
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|AACL 2020
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|[https://aacl2020.org/program/tutorial_schedule/]
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|
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|
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|-
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|Machine Reasoning: Technology, Dilemma and Future
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|Nan Duan, Duyu Tang, Ming Zhou
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|EMNLP 2020
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|[https://2020.emnlp.org/tutorials]
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|[https://virtual.2020.emnlp.org/tutorial_T4.html]
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|| [https://aclanthology.org/2020.emnlp-tutorials.1/]
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|-
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|Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era
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|Preslav Nakov, Giovanni Da San Martino
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|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
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|[https://virtual.2020.emnlp.org/tutorial_T2.html]
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|[https://aclanthology.org/2020.emnlp-tutorials.2/]
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|-
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|Interpreting Predictions of NLP Models
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|Eric Wallace, Matt Gardner, Sameer Singh
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|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
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|[https://virtual.2020.emnlp.org/tutorial_T1.html]
 +
|[https://aclanthology.org/2020.emnlp-tutorials.3/]
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|-
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|High Performance Natural Language Processing
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|Gabriel Ilharco, Cesar Ilharco, Iulia Turc, Tim Dettmers, Felipe Ferreira, Kenton Lee
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|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
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|[https://virtual.2020.emnlp.org/tutorial_T3.html]
 +
|[https://aclanthology.org/2020.emnlp-tutorials.4/]
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|-
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|Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks
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|Parisa Kordjamshidi, James Pustejovsky, Marie-Francine Moens
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|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
 +
|[https://virtual.2020.emnlp.org/tutorial_T5.html]
 +
|[https://aclanthology.org/2020.emnlp-tutorials.5/]
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|-
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|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/]
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|-
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|The Amazing World of Neural Language Generation
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|Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz
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|EMNLP 2020
 +
|[https://2020.emnlp.org/tutorials]
 +
|[https://virtual.2020.emnlp.org/tutorial_T7.html]
 +
|[https://aclanthology.org/2020.emnlp-tutorials.7/]
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|-
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|Cross-lingual Semantic Representation for NLP with UCCA
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|Omri Abend, Dotan Dvir, Daniel Hershcovich, Jakob Prange, Nathan Schneider
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|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
 +
|
 +
|[https://aclanthology.org/2020.coling-tutorials.1/]
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|-
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|Embeddings in Natural Language Processing
 +
|Jose Camacho-Collados, Mohammad Taher Pilehvar
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|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
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|
 +
|[https://aclanthology.org/2020.coling-tutorials.2/]
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|-
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|Multilingual Neural Machine Translation
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|Raj Dabre, Chenhui Chu, Anoop Kunchukuttan
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|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
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|
 +
|[https://aclanthology.org/2020.coling-tutorials.3/]
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|-
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|Detection and Resolution of Rumors and Misinformation with NLP
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|Leon Derczynski, Arkaitz Zubiaga
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|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
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|
 +
|[https://aclanthology.org/2020.coling-tutorials.4/]
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|-
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|A guide to the dataset explosion in QA, NLI, and commonsense reasoning
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|Anna Rogers, Anna Rumshisky
 +
|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
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|
 +
|[https://aclanthology.org/2020.coling-tutorials.5/]
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|-
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|A Crash Course in Automatic Grammatical Error Correction
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|Roman Grundkiewicz, Christopher Bryant, Mariano Felice
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|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
 +
|
 +
|[https://aclanthology.org/2020.coling-tutorials.5/]
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|-
 +
|Endangered Languages meet Modern NLP
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|Antonios Anastasopoulos, Christopher Cox, Graham Neubig, Hilaria Cruz
 +
|COLING 2020
 +
|[https://coling2020.org/pages/tutorials]
 +
|
 +
|[https://aclanthology.org/2020.coling-tutorials.6/]
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|-
 
|}
 
|}
  

Revision as of 20:30, 24 July 2024

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.

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 [1] [2] [3]
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 [4] [5] [6]
Reviewing Natural Language Processing Research Kevin Cohen, Karën Fort, Margot Mieskes and Aurélie Névéol ACL 2020 [7] [8] [9]
Stylized Text Generation: Approaches and Applications Lili Mou and Olga Vechtomova ACL 2020 [10] [11] [12]
Achieving Common Ground in Multi-modal Dialogue Malihe Alikhani and Matthew Stone ACL 2020 [13] [14] [15]
Commonsense Reasoning for Natural Language Processing Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi and Dan Roth ACL 2020 [16] [17] [18]
Integrating Ethics into the NLP Curriculum Emily M. Bender, Dirk Hovy and Alexandra Schofield ACL 2020 [19] [20] [21]
Open-Domain Question Answering Danqi Chen and Scott Wen-tau Yih ACL 2020 [22] [23] [24]
Natural Language Processing in Financial Technology Applications Hsin-Hsi Chen, Hen-Hsen Huang and Chung-Chi Chen AACL 2020 [25]
NLP for Healthcare in the Absence of a Healthcare Dataset Sarvnaz Karimi and Aditya Joshi AACL 2020 [26]
Self-Supervised Deep Learning for NLP William Yang Wang and Xin Wang AACL 2020 [27]
Explainability for Natural Language Processing Shipi Dhanorkar, Christine Wolf, Kun Qian, Anbang Xu, Lucian Popa and Yunyao Li AACL 2020 [28]
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 [29]
Advances in Debating Technologies: Building AI That Can Debate Humans Roy Bar-Haim, Yonatan Bilu, Liat Ein-Dor and Noam Slonim AACL 2020 [30]
Machine Reasoning: Technology, Dilemma and Future Nan Duan, Duyu Tang, Ming Zhou EMNLP 2020 [31] [32] [33]
Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era Preslav Nakov, Giovanni Da San Martino EMNLP 2020 [34] [35] [36]
Interpreting Predictions of NLP Models Eric Wallace, Matt Gardner, Sameer Singh EMNLP 2020 [37] [38] [39]
High Performance Natural Language Processing Gabriel Ilharco, Cesar Ilharco, Iulia Turc, Tim Dettmers, Felipe Ferreira, Kenton Lee EMNLP 2020 [40] [41] [42]
Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks Parisa Kordjamshidi, James Pustejovsky, Marie-Francine Moens EMNLP 2020 [43] [44] [45]
Simultaneous Translation Liang Huang, Colin Cherry, Mingbo Ma, Naveen Arivazhagan, Zhongjun He EMNLP 2020 [46] [47] [48]
The Amazing World of Neural Language Generation Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz EMNLP 2020 [49] [50] [51]
Cross-lingual Semantic Representation for NLP with UCCA Omri Abend, Dotan Dvir, Daniel Hershcovich, Jakob Prange, Nathan Schneider COLING 2020 [52] [53]
Embeddings in Natural Language Processing Jose Camacho-Collados, Mohammad Taher Pilehvar COLING 2020 [54] [55]
Multilingual Neural Machine Translation Raj Dabre, Chenhui Chu, Anoop Kunchukuttan COLING 2020 [56] [57]
Detection and Resolution of Rumors and Misinformation with NLP Leon Derczynski, Arkaitz Zubiaga COLING 2020 [58] [59]
A guide to the dataset explosion in QA, NLI, and commonsense reasoning Anna Rogers, Anna Rumshisky COLING 2020 [60] [61]
A Crash Course in Automatic Grammatical Error Correction Roman Grundkiewicz, Christopher Bryant, Mariano Felice COLING 2020 [62] [63]
Endangered Languages meet Modern NLP Antonios Anastasopoulos, Christopher Cox, Graham Neubig, Hilaria Cruz COLING 2020 [64] [65]

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 [66] [67]
Graph-Based Meaning Representations: Design and Processing Alexander Koller, Stephan Oepen and Weiwei Sun ACL 2019 [68] [69]
Discourse Analysis and Its Applications Shafiq Joty, Giuseppe Carenini, Raymond Ng and Gabriel Murray ACL 2019 [70] [71]
Computational Analysis of Political Texts: Bridging Research Efforts Across Communities Goran Glavaš, Federico Nanni and Simone Paolo Ponzetto ACL 2019 [72] [73]
Wikipedia as a Resource for Text Analysis and Retrieval Marius Pasca ACL 2019 [74] [75]
Deep Bayesian Natural Language Processing Jen-Tzung Chien ACL 2019 [76] [77]
Unsupervised Cross-Lingual Representation Learning Sebastian Ruder, Anders Søgaard and Ivan Vulić ACL 2019 [78] [79]
Advances in Argument Mining Katarzyna Budzynska and Chris Reed ACL 2019 [80] [81]
Storytelling from Structured Data and Knowledge Graphs : An NLG Perspective Abhijit Mishra, Anirban Laha, Karthik Sankaranarayanan, Parag Jain and Saravanan Krishnan ACL 2019 [82] [83]
Deep Adversarial Learning for NLP William Yang Wang, Sameer Singh and Jiwei Li NAACL 2019 [84] [85]
Deep Learning for Natural Language Inference Samuel Bowman and Xiaodan Zhu NAACL 2019 [86] [87]
Measuring and Modeling Language Change Jacob Eisenstein NAACL 2019 [88] [89]
Transfer Learning in Natural Language Processing Sebastian Ruder, Matthew Peters, Swabha Swayamdipta and Thomas Wolf NAACL 2019 [90] [91]
Language Learning and Processing in People and Machines Aida Nematzadeh, Richard Futrell and Roger Levy NAACL 2019 [92] [93]
Applications of Natural Language Processing in Clinical Research and Practice Yanshan Wang, Ahmad Tafti, Sunghwan Sohn and Rui Zhang NAACL 2019 [94] [95]

2018 tutorials

Title Trainers Conference Conference link ACL Anthology link
Joint models for NLP Yue Zhang EMNLP 2018 [96]
Graph Formalisms for Meaning Representations Adam Lopez and Sorcha Gilroy EMNLP 2018 [97]
Writing Code for NLP Research Matt Gardner, Mark Neumann, Joel Grus, and Nicholas Lourie EMNLP 2018 [98]
Deep Latent Variable Models of Natural Language Alexander Rush, Yoon Kim, and Sam Wiseman EMNLP 2018 [99]
Standardized Tests as benchmarks for Artificial Intelligence Mrinmaya Sachan, Minjoon Seo, Hannaneh Hajishirzi, and Eric Xing EMNLP 2018 [100]
Deep Chit-Chat: Deep Learning for ChatBots Wei Wu and Rui Yan EMNLP 2018 [101]
100 Things You Always Wanted to Know about Semantics & Pragmatics But Were Afraid to Ask Emily M. Bender ACL 2018 [102] [103]
Neural Approaches to Conversational AI Jianfeng Gao, Michel Galley and Lihong Li ACL 2018 [104] [105]
Variational Inference and Deep Generative Models Wilker Aziz and Philip Schulz ACL 2018 [106] [107]
Connecting Language and Vision to Actions Peter Anderson, Abhishek Das and Qi Wu ACL 2018 [108] [109]
Beyond Multiword Expressions: Processing Idioms and Metaphors Valia Kordoni ACL 2018 [110] [111]
Neural Semantic Parsing Luke Zettlemoyer, Matt Gardner, Pradeep Dasigi, Srinivasan Iyer and Alane Suhr ACL 2018 [112] [113]
Deep Reinforcement Learning for NLP William Yang Wang, Jiwei Li and Xiaodong He ACL 2018 [114] [115]
Multi-lingual Entity Discovery and Linking Avirup Sil, Heng Ji, Dan Roth and Silviu-Petru Cucerzan ACL 2018 [116] [117]
Modelling Natural Language, Programs, and their Intersection Graham Neubig and Miltiadis Allamanis NAACL 2018 [118]
Deep Learning Approaches to Text Production Claire Gardent and Shashi Narayan NAACL 2018 [119]
Scalable Construction and Reasoning of Massive Knowledge Bases Xiang Ren, Nanyun Peng and William Yang Wang NAACL 2018 [120]
The interplay between lexical resources and Natural Language Processing Jose Camacho-Collados, Luis Espinosa Anke and Mohammad Taher Pilehvar NAACL 2018 [121]
Socially Responsible NLP Yulia Tsvetkov, Vinodkumar Prabhakaran and Rob Voigt NAACL 2018 [122]
Deep Learning for Conversational AI Pei-Hao Su, Nikola Mrkšić, Iñigo Casanueva, Ivan Vulić NAACL 2018 [123]
NLP for Conversations: Sentiment, Summarization, and Group Dynamics Gabriel Murray, Giuseppe Carenini and Shafiq Joty COLING 2018 [124] [125]
Practical Parsing for Downstream Applications Daniel Dakota and Sandra Kübler COLING 2018 [126] [127]
Frame Semantics across Languages: Towards a Multilingual FrameNet Collin Baker, Michael Ellsworth, Miriam R L Petruck and Swabha Swayamdipta COLING 2018 [128] [129]
Deep Bayesian Learning and Understanding Jen-Tzung Chien COLING 2018 [130] [131]
Data-Driven Text Simplification Sanja Štajner and Horacio Saggion COLING 2018 [132] [133]
Deep Learning for Dialogue Systems Yun-Nung Chen, Asli Celikyilmaz and Dilek Hakkani-Tur COLING 2018 [134] [135]

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 [136]
Practical Neural Machine Translation Rico Sennrich and Barry Haddow EACL 2017 [137]
Imitation learning for structured prediction in natural language processing Andreas Vlachos, Gerasimos Lampouras and Sebastian Riedel EACL 2017 [138]
Word Vector Space Specialisation Ivan Vulić, Nikola Mrkšić, and Mohammad Taher Pilehvar EACL 2017 [139]
Integer Linear Programming formulations in Natural Language Processing Dan Roth and Vivek Srikumar EACL 2017 [140]
Building Multimodal Simulations for Natural Language James Pustejovsky and Nikhil Krishnaswamy EACL 2017 [141]
Natural Language Processing for Precision Medicine Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih ACL 2017 [142] [143]
Multimodal Machine Learning Louis-Philippe Morency and Tadas Baltrusaitis ACL 2017 [144] [145]
Deep Learning for Semantic Composition Xiaodan Zhu and Edward Grefenstette ACL 2017 [146] [147]
Deep Learning for Dialogue Systems Yun-Nung Chen, Asli Celikyilmaz, and Dilek Hakkani-Tur ACL 2017 [148] [149]
Beyond Words: Deep Learning for Multi-word Expressions and Collocations Valia Kordoni ACL 2017 [150] [151]
Making Better Use of the Crowd Jennifer Wortman Vaughan ACL 2017 [152] [153]

2016 tutorials

Title Trainers Conference Conference link ACL Anthology link
Multimodal Learning and Reasoning Desmond Elliott, Douwe Kiela and Angeliki Lazaridou ACL 2016 [154] [155]
NLP Approaches to Computational Argumentation Noam Slonim, Iryna Gurevych, Chris Reed and Benno Stein ACL 2016 [156]
Computer Aided Translation Philipp Koehn ACL 2016 [157]
Semantic Representations of Word Senses and Concepts José Camacho-Collados, Ignacio Iacobacci, Roberto Navigli and Mohammad Taher Pilehvar ACL 2016 [158]
Neural Machine Translation Thang Luong, Kyunghyun Cho and Christopher D. Manning ACL 2016 [159]
Game Theory and Natural Language: Origin, Evolution and Processing Rocco Tripodi and Marcello Pelillo ACL 2016 [160]
Understanding Short Texts Zhongyuan Wang and Haixun Wang ACL 2016 [161]
MetaNet: Repository, Identification System, and Applications Miriam R L Petruck and Ellen K Dodge ACL 2016 [162]
English Resource Semantics Dan Flickinger, Emily M. Bender, and Woodley Packard NAACL 2016 [163] [164]
Multilingual Multimodal Language Processing Using Neural Networks Mitesh M Khapra and Sarath Chandar NAACL 2016 [165] [166]
Question Answering with Knowledge Base, Web and Beyond Scott Wen-tau Yih & Hao Ma NAACL 2016 [167] [168]
Recent Progress in Deep Learning for NLP Zhengdong Lu and Hang Li NAACL 2016 [169] [170]
Scalable Statistical Relational Learning for NLP William Yang Wang and William W. Cohen NAACL 2016 [171] [172]
Statistical Machine Translation between Related Languages Pushpak Bhattacharyya, Mitesh Khapra, and Anoop Kunchukuttan NAACL 2016 [173] [174]
Practical Neural Networks for NLP: From Theory to Code Chris Dyer, Yoav Goldberg and Graham Neubig EMNLP 2016 [175]
Advanced Markov Logic Techniques for Scalable Joint Inference in NLP Deepak Venugopal, Vibhav Gogate and Vincent Ng EMNLP 2016 [176]
Lifelong Machine Learning for Natural Language Processing Zhiyuan Chen and Bing Liu EMNLP 2016 [177]
Neural Networks for Sentiment Analysis Yue Zhang and Duy Tin Vo EMNLP 2016 [178]
Continuous Vector Spaces for Cross-language NLP Applications Rafael E. Banchs EMNLP 2016 [179]
Methods and Theories for Large-scale Structured Prediction Xu Sun and Yansong Feng EMNLP 2016 [180]
Compositional Distributional Models of Meaning Mehrnoosh Sadrzadeh and Dimitri Kartsaklis COLING 2016 [181] [182]
Chinese Textual Sentiment Analysis: Datasets, Resources and Tools Lun-Wei Ku and Wei-Fan Chen COLING 2016 [183] [184]
Natural Language Processing for Intelligent Access to Scientific Information Horacio Saggion and Francesco Ronzano COLING 2016 [185] [186]
Quality Estimation for Language Output Applications Carolina Scarton, Gustavo Henrique Paetzold, and Lucia Specia COLING 2016 [187] [188]
Translationese: Between Human and Machine Translation Shuly Wintner COLING 2016 [189] [190]
Succinct Data Structures for NLP-at-Scale Matthias Petri and Trevor Cohn COLING 2016 [191] [192]
The Role of Wikipedia in Text Analysis and Retrieval Marius Pasca COLING 2016 [193] [194]

Author: Agata Savary, July 2019

Updates are welcome

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