Past tutorials: Difference between revisions
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|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/] | ||
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|NLP Approaches to Computational Argumentation | |NLP Approaches to Computational Argumentation | ||
Revision as of 09:30, 31 December 2020
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] |
| TO BE COMPLETED for AACL, EMNLP and COLING 2020 |
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 | [25] | [26] |
| Graph-Based Meaning Representations: Design and Processing | Alexander Koller, Stephan Oepen and Weiwei Sun | ACL 2019 | [27] | [28] |
| Discourse Analysis and Its Applications | Shafiq Joty, Giuseppe Carenini, Raymond Ng and Gabriel Murray | ACL 2019 | [29] | [30] |
| Computational Analysis of Political Texts: Bridging Research Efforts Across Communities | Goran Glavaš, Federico Nanni and Simone Paolo Ponzetto | ACL 2019 | [31] | [32] |
| Wikipedia as a Resource for Text Analysis and Retrieval | Marius Pasca | ACL 2019 | [33] | [34] |
| Deep Bayesian Natural Language Processing | Jen-Tzung Chien | ACL 2019 | [35] | [36] |
| Unsupervised Cross-Lingual Representation Learning | Sebastian Ruder, Anders Søgaard and Ivan Vulić | ACL 2019 | [37] | [38] |
| Advances in Argument Mining | Katarzyna Budzynska and Chris Reed | ACL 2019 | [39] | [40] |
| Storytelling from Structured Data and Knowledge Graphs : An NLG Perspective | Abhijit Mishra, Anirban Laha, Karthik Sankaranarayanan, Parag Jain and Saravanan Krishnan | ACL 2019 | [41] | [42] |
| Deep Adversarial Learning for NLP | William Yang Wang, Sameer Singh and Jiwei Li | NAACL 2019 | [43] | [44] |
| Deep Learning for Natural Language Inference | Samuel Bowman and Xiaodan Zhu | NAACL 2019 | [45] | [46] |
| Measuring and Modeling Language Change | Jacob Eisenstein | NAACL 2019 | [47] | [48] |
| Transfer Learning in Natural Language Processing | Sebastian Ruder, Matthew Peters, Swabha Swayamdipta and Thomas Wolf | NAACL 2019 | [49] | [50] |
| Language Learning and Processing in People and Machines | Aida Nematzadeh, Richard Futrell and Roger Levy | NAACL 2019 | [51] | [52] |
| Applications of Natural Language Processing in Clinical Research and Practice | Yanshan Wang, Ahmad Tafti, Sunghwan Sohn and Rui Zhang | NAACL 2019 | [53] | [54] |
2018 tutorials
| Title | Trainers | Conference | Conference link | ACL Anthology link |
| Joint models for NLP | Yue Zhang | EMNLP 2018 | [55] | |
| Graph Formalisms for Meaning Representations | Adam Lopez and Sorcha Gilroy | EMNLP 2018 | [56] | |
| Writing Code for NLP Research | Matt Gardner, Mark Neumann, Joel Grus, and Nicholas Lourie | EMNLP 2018 | [57] | |
| Deep Latent Variable Models of Natural Language | Alexander Rush, Yoon Kim, and Sam Wiseman | EMNLP 2018 | [58] | |
| Standardized Tests as benchmarks for Artificial Intelligence | Mrinmaya Sachan, Minjoon Seo, Hannaneh Hajishirzi, and Eric Xing | EMNLP 2018 | [59] | |
| Deep Chit-Chat: Deep Learning for ChatBots | Wei Wu and Rui Yan | EMNLP 2018 | [60] | |
| 100 Things You Always Wanted to Know about Semantics & Pragmatics But Were Afraid to Ask | Emily M. Bender | ACL 2018 | [61] | [62] |
| Neural Approaches to Conversational AI | Jianfeng Gao, Michel Galley and Lihong Li | ACL 2018 | [63] | [64] |
| Variational Inference and Deep Generative Models | Wilker Aziz and Philip Schulz | ACL 2018 | [65] | [66] |
| Connecting Language and Vision to Actions | Peter Anderson, Abhishek Das and Qi Wu | ACL 2018 | [67] | [68] |
| Beyond Multiword Expressions: Processing Idioms and Metaphors | Valia Kordoni | ACL 2018 | [69] | [70] |
| Neural Semantic Parsing | Luke Zettlemoyer, Matt Gardner, Pradeep Dasigi, Srinivasan Iyer and Alane Suhr | ACL 2018 | [71] | [72] |
| Deep Reinforcement Learning for NLP | William Yang Wang, Jiwei Li and Xiaodong He | ACL 2018 | [73] | [74] |
| Multi-lingual Entity Discovery and Linking | Avirup Sil, Heng Ji, Dan Roth and Silviu-Petru Cucerzan | ACL 2018 | [75] | [76] |
| Modelling Natural Language, Programs, and their Intersection | Graham Neubig and Miltiadis Allamanis | NAACL 2018 | [77] | |
| Deep Learning Approaches to Text Production | Claire Gardent and Shashi Narayan | NAACL 2018 | [78] | |
| Scalable Construction and Reasoning of Massive Knowledge Bases | Xiang Ren, Nanyun Peng and William Yang Wang | NAACL 2018 | [79] | |
| The interplay between lexical resources and Natural Language Processing | Jose Camacho-Collados, Luis Espinosa Anke and Mohammad Taher Pilehvar | NAACL 2018 | [80] | |
| Socially Responsible NLP | Yulia Tsvetkov, Vinodkumar Prabhakaran and Rob Voigt | NAACL 2018 | [81] | |
| Deep Learning for Conversational AI | Pei-Hao Su, Nikola Mrkšić, Iñigo Casanueva, Ivan Vulić | NAACL 2018 | [82] | |
| NLP for Conversations: Sentiment, Summarization, and Group Dynamics | Gabriel Murray, Giuseppe Carenini and Shafiq Joty | COLING 2018 | [83] | [84] |
| Practical Parsing for Downstream Applications | Daniel Dakota and Sandra Kübler | COLING 2018 | [85] | [86] |
| Frame Semantics across Languages: Towards a Multilingual FrameNet | Collin Baker, Michael Ellsworth, Miriam R L Petruck and Swabha Swayamdipta | COLING 2018 | [87] | [88] |
| Deep Bayesian Learning and Understanding | Jen-Tzung Chien | COLING 2018 | [89] | [90] |
| Data-Driven Text Simplification | Sanja Štajner and Horacio Saggion | COLING 2018 | [91] | [92] |
| Deep Learning for Dialogue Systems | Yun-Nung Chen, Asli Celikyilmaz and Dilek Hakkani-Tur | COLING 2018 | [93] | [94] |
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 | [95] | |
| Practical Neural Machine Translation | Rico Sennrich and Barry Haddow | EACL 2017 | [96] | |
| Imitation learning for structured prediction in natural language processing | Andreas Vlachos, Gerasimos Lampouras and Sebastian Riedel | EACL 2017 | [97] | |
| Word Vector Space Specialisation | Ivan Vulić, Nikola Mrkšić, and Mohammad Taher Pilehvar | EACL 2017 | [98] | |
| Integer Linear Programming formulations in Natural Language Processing | Dan Roth and Vivek Srikumar | EACL 2017 | [99] | |
| Building Multimodal Simulations for Natural Language | James Pustejovsky and Nikhil Krishnaswamy | EACL 2017 | [100] | |
| Natural Language Processing for Precision Medicine | Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih | ACL 2017 | [101] | [102] |
| Multimodal Machine Learning | Louis-Philippe Morency and Tadas Baltrusaitis | ACL 2017 | [103] | [104] |
| Deep Learning for Semantic Composition | Xiaodan Zhu and Edward Grefenstette | ACL 2017 | [105] | [106] |
| Deep Learning for Dialogue Systems | Yun-Nung Chen, Asli Celikyilmaz, and Dilek Hakkani-Tur | ACL 2017 | [107] | [108] |
| Beyond Words: Deep Learning for Multi-word Expressions and Collocations | Valia Kordoni | ACL 2017 | [109] | [110] |
| Making Better Use of the Crowd | Jennifer Wortman Vaughan | ACL 2017 | [111] | [112] |
2016 tutorials
| Title | Trainers | Conference | Conference link | ACL Anthology link |
| Multimodal Learning and Reasoning | Desmond Elliott, Douwe Kiela and Angeliki Lazaridou | ACL 2016 | [113] | [114] |
| NLP Approaches to Computational Argumentation | Noam Slonim, Iryna Gurevych, Chris Reed and Benno Stein | ACL 2016 | [115] | |
| Computer Aided Translation | Philipp Koehn | ACL 2016 | [116] | |
| Semantic Representations of Word Senses and Concepts | José Camacho-Collados, Ignacio Iacobacci, Roberto Navigli and Mohammad Taher Pilehvar | ACL 2016 | [117] | |
| Neural Machine Translation | Thang Luong, Kyunghyun Cho and Christopher D. Manning | ACL 2016 | [118] | |
| Game Theory and Natural Language: Origin, Evolution and Processing | Rocco Tripodi and Marcello Pelillo | ACL 2016 | [119] | |
| Understanding Short Texts | Zhongyuan Wang and Haixun Wang | ACL 2016 | [120] | |
| MetaNet: Repository, Identification System, and Applications | Miriam R L Petruck and Ellen K Dodge | ACL 2016 | [121] | |
| English Resource Semantics | Dan Flickinger, Emily M. Bender, and Woodley Packard | NAACL 2016 | [122] | [123] |
| Multilingual Multimodal Language Processing Using Neural Networks | Mitesh M Khapra and Sarath Chandar | NAACL 2016 | [124] | [125] |
| Question Answering with Knowledge Base, Web and Beyond | Scott Wen-tau Yih & Hao Ma | NAACL 2016 | [126] | [127] |
| Recent Progress in Deep Learning for NLP | Zhengdong Lu and Hang Li | NAACL 2016 | [128] | [129] |
| Scalable Statistical Relational Learning for NLP | William Yang Wang and William W. Cohen | NAACL 2016 | [130] | [131] |
| Statistical Machine Translation between Related Languages | Pushpak Bhattacharyya, Mitesh Khapra, and Anoop Kunchukuttan | NAACL 2016 | [132] | [133] |
| Practical Neural Networks for NLP: From Theory to Code | Chris Dyer, Yoav Goldberg and Graham Neubig | EMNLP 2016 | [134] | |
| Advanced Markov Logic Techniques for Scalable Joint Inference in NLP | Deepak Venugopal, Vibhav Gogate and Vincent Ng | EMNLP 2016 | [135] | |
| Lifelong Machine Learning for Natural Language Processing | Zhiyuan Chen and Bing Liu | EMNLP 2016 | [136] | |
| Neural Networks for Sentiment Analysis | Yue Zhang and Duy Tin Vo | EMNLP 2016 | [137] | |
| Continuous Vector Spaces for Cross-language NLP Applications | Rafael E. Banchs | EMNLP 2016 | [138] | |
| Methods and Theories for Large-scale Structured Prediction | Xu Sun and Yansong Feng | EMNLP 2016 | [139] | |
| Compositional Distributional Models of Meaning | Mehrnoosh Sadrzadeh and Dimitri Kartsaklis | COLING 2016 | [140] | [141] |
| Chinese Textual Sentiment Analysis: Datasets, Resources and Tools | Lun-Wei Ku and Wei-Fan Chen | COLING 2016 | [142] | [143] |
| Natural Language Processing for Intelligent Access to Scientific Information | Horacio Saggion and Francesco Ronzano | COLING 2016 | [144] | [145] |
| Quality Estimation for Language Output Applications | Carolina Scarton, Gustavo Henrique Paetzold, and Lucia Specia | COLING 2016 | [146] | [147] |
| Translationese: Between Human and Machine Translation | Shuly Wintner | COLING 2016 | [148] | [149] |
| Succinct Data Structures for NLP-at-Scale | Matthias Petri and Trevor Cohn | COLING 2016 | [150] | [151] |
| The Role of Wikipedia in Text Analysis and Retrieval | Marius Pasca | COLING 2016 | [152] | [153] |
Author: Agata Savary, July 2019
Updates are welcome