This month, we have gathered all the papers that were live-tweeted during the Empirical Methods in Natural Language Processing conference (EMNLP2020). You can click on the tweets and check the related threads to read more about the papers and sessions.
Computational social science and social media
#EMNLP2020
Social Chemistry 101: Learning to Reason about Social and Moral Norms
Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap and Yejin Choi
Paper: https://t.co/xnBQKWlps4
Talk: https://t.co/LK7Sw5UB1Q@maxforbes @VeredShwartz @MaartenSap @YejinChoinka
1/n— MeiXing Dong (@meixingdg) November 17, 2020
#EMNLP2020
Measuring Information Propagation in Literary Social Networks
Matthew Sims and David Bamman
Paper: https://t.co/SEPTW6YFyb
Talk: https://t.co/wZzvTd1ixQ@dbamman
1/n— MeiXing Dong (@meixingdg) November 17, 2020
#EMNLP2020
An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets
Gregory Spell, Brian Guay, Sunshine Hillygus, and Lawrence Carin
Paper: https://t.co/KDKnq4zCsC
Talk: https://t.co/3guA2S3Oh5
1/n— MeiXing Dong (@meixingdg) November 17, 2020
#EMNLP2020
Unsupervised Discovery of Implicit Gender Bias
Anjalie Field and Yulia Tsvetkov
Paper: https://t.co/P29J2UFyc5
Talk: https://t.co/fgh79AdxGW@anjalie_f
1/n— MeiXing Dong (@meixingdg) November 17, 2020
#EMNLP2020
Condolence and Empathy in Online Communities
Naitian Zhou and David Jurgens
Paper: https://t.co/3YeXg1HzEf
Talk: https://t.co/10pCvY30gI@NaitianZhou @david__jurgens
1/n— MeiXing Dong (@meixingdg) November 17, 2020
#emnlp2020
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya and Francesca Toni
Paper:https://t.co/mtb4DXXgUN
Talk: https://t.co/lUVygibK1G@neemakot
/1— Jekaterina Novikova (@JNov21602962) November 18, 2020
#emnlp2020
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
Nguyen Vo and Kyumin Lee
Paper:https://t.co/aiMR36I1ZK
Talk: https://t.co/HVD3WNGBzw@nguyenvo09,@humanist0810
/1— Jekaterina Novikova (@JNov21602962) November 18, 2020
#emnlp2020
Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media
Shamik Roy and Dan Goldwasser
Paper:https://t.co/l0QMnpc1x5
Talk: https://t.co/9nqVQ7rJ0K@ShamiikRoy,@PurdueNLP
/1— Jekaterina Novikova (@JNov21602962) November 18, 2020
#emnlp2020
Fortifying Toxic Speech Detectors Against Veiled Toxicity
Xiaochuang Han and Yulia Tsvetkov
Paper:https://t.co/kBsoEe9bq7
Talk: https://t.co/Ig6acG5wQ4@XiaochuangHan
/1— Jekaterina Novikova (@JNov21602962) November 18, 2020
#emnlp2020
A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media
Ramit Sawhney, Harshit Joshi, Saumya Gandhi and Rajiv Ratn Shah
Paper:https://t.co/3JFfUL4980
Talk: https://t.co/RLldCMfLN0@ramitsawhney,@ratnrajiv
/1— Jekaterina Novikova (@JNov21602962) November 18, 2020
#emnlp2020
Supervised Seeded Iterated Learning for Interactive Language Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin and Aaron Courville
Paper: https://t.co/ZS5LMukhGi
Talk: https://t.co/gMi3dJGiXA
/1— Jekaterina Novikova (@JNov21602962) November 17, 2020
#emnlp2020
Human-centric dialog training via offline reinforcement learning
Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Gu and Rosalind Picard
Paper: https://t.co/kP6cO5MzXH
Talk: https://t.co/H0aSmY246T
/1— Jekaterina Novikova (@JNov21602962) November 17, 2020
#emnlp2020
Spot The Bot
Jan Deriu, Don Tuggener, Pius von Däniken, Jon Ander Campos, Alvaro Rodrigo, Thiziri Belkacem, Aitor Soroa, Eneko Agirre and Mark Cieliebak
Paper: https://t.co/ORBweyVkw0
Talk: https://t.co/6rpgCWKN7z
/1— Jekaterina Novikova (@JNov21602962) November 17, 2020
#EMNLP2020
Quantifying Intimacy in Language
Paper: https://t.co/B2oqgPxTVe
"The usage of swearing words normally indicates a higher level of question intimacy"— Jekaterina Novikova (@JNov21602962) November 17, 2020
#emnlp2020
Spot The Bot
Jan Deriu, Don Tuggener, Pius von Däniken, Jon Ander Campos, Alvaro Rodrigo, Thiziri Belkacem, Aitor Soroa, Eneko Agirre and Mark Cieliebak
Paper: https://t.co/ORBweyVkw0
Talk: https://t.co/6rpgCWKN7z
/1— Jekaterina Novikova (@JNov21602962) November 17, 2020
#emnlp2020
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes
Paulo Cavalin, Victor Henrique Alves Ribeiro, Ana Appel, Claudio Pinhanez
Paper: https://t.co/JVfLKFFcCF
Talk: https://t.co/tUlAiJdEFv
/1— Jekaterina Novikova (@JNov21602962) November 17, 2020
#emnlp2020@na_shian,@Zhou_Yu_AI,@dongyeopkang,@xiao0_0yang,@shi_weiyan
INSPIRED: Toward Sociable Recommendation Dialog Systems
1⃣A new human-human dialogue dataset of movie recs!
2⃣End-to-end agent trained w/ sociable strategies is successful/engaging! pic.twitter.com/PZsarHgIwd— Emily P. Ahn (@emilypahn) November 19, 2020
#emnlp2020
Unsupervised Discovery of Implicit Gender Bias
Anjalie Field, Yulia Tsvetkov
Paper: https://t.co/TQRW3rZB4K
Talk: https://t.co/fQgeGZVIfs@anjalie_f
/1— Emily P. Ahn (@emilypahn) November 17, 2020
Paper: Multilingual Offensive Language Identification with Cross-lingual Embeddings by Tharindu Ranasinghe, Marcos Zampieri. https://t.co/pqc93DrYIr
— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 18, 2020
Paper: Solving Historical Dictionary Codes with a Neural Language Model by Christopher Chu, Raphael Valenti, Kevin Knight
Paper: https://t.co/GBAMmGPkfe
Presentation: https://t.co/pt3H6f4G9d— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 18, 2020
#emnlp2020 paper: DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL Dataset by Lijie Wang, Ao Zhang, Kun Wu, Ke Sun, Zhenghua Li, Hua Wu, Min Zhang, Haifeng Wang.https://t.co/nVajGNnTvKhttps://t.co/SdpRaaWz7o
— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 18, 2020
Paper: Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments,
by Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, Lyle Ungar #emnlp2020.https://t.co/7UuFiEg1iohttps://t.co/Qbf889h636— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 18, 2020
#emnlp2020 Paper: Investigating African-American Vernacular English in Transformer-Based Text Generation
by Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza, William Yang Wanghttps://t.co/cvYpurcbTchttps://t.co/AvzdlDg5gJ— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 18, 2020
#emnlp2020 paper: Grounded Adaptation for Zero-shot Executable Semantic Parsing by Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer.https://t.co/lEBbHCNxcdhttps://t.co/dV9lzAjq6p
— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 18, 2020
#emnlp2020 paper: An Imitation Game for Learning Semantic Parsers from User Interaction by Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su.https://t.co/FA8DOea7zqhttps://t.co/29scdrFyFV
— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 18, 2020
#emnlp2020 paper: IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation by
Yitao Cai, Xiaojun Wanhttps://t.co/V8DzBkRMCLhttps://t.co/eLARAHfBWU— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 18, 2020
#emnlp2020 paper: “What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL by Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang.https://t.co/71LQ4cX5d9https://t.co/wbSZ0jAlqr
— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 18, 2020
#emnlp2020 paper: Mention Extraction and Linking for SQL Query Generation by Jianqiang Ma, Zeyu Yan, Shuai Pang, Yang Zhang, Jianping Shen.https://t.co/LlPP56Wr1uhttps://t.co/WdEX2WKh1L
— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 18, 2020
#emnlp2020 paper: Re-examining the Role of Schema Linking in Text-to-SQL by Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, Tat-Seng Chua.https://t.co/7csRFq33gMhttps://t.co/yxf1ADctkB
— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 18, 2020
Information extraction, lexical and sentence-level semantics, psycholinguistics, language generation and other
#emnlp2020 Live from Zoom Q&A Session 4C
Where Are You? Localization from Embodied Dialog
Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James Rehg, Stefan Lee and Peter Anderson
Paper: https://t.co/MdZuduvZU0
Talk: https://t.co/AozpgqZPtk@meerahahn
/1— Chaitanya Ahuja (@chahuja) November 17, 2020
#emnlp2020 Live from Zoom Q&A Session 4C
Learning to Represent Image and Text with Denotation Graph
Bowen Zhang, Hexiang Hu, Vihan Jain, Eugene Ie and Fei Sha
Paper: https://t.co/KsS4Dlhm6i
Talk: https://t.co/De2wBO4FuO@bwzhang_usc
/1— Chaitanya Ahuja (@chahuja) November 17, 2020
#emnlp2020 Live from Zoom Q&A Session 4C
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning
Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral and Yezhou Yang
Paper: https://t.co/0dENIkNPVy
Talk: https://t.co/w8B7747uUB/1
— Chaitanya Ahuja (@chahuja) November 17, 2020
#emnlp2020 Live from Zoom Q&A Session 4C
Does my multimodal model learn cross-modal interactions? It’s harder to tell than you might think!
Jack Hessel and Lillian Lee
Paper: https://t.co/8jMxQnRerK
Talk: https://t.co/pCNZsaY8Qw@jmhessel
/1— Chaitanya Ahuja (@chahuja) November 17, 2020
#emnlp2020 Live from Zoom Q&A Session 4C
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering
Tejas Gokhale, Pratyay Banerjee, Chitta Baral and Yezhou Yang
Paper: https://t.co/O494koEocb
Talk: https://t.co/uuyXiX2p1M/1
— Chaitanya Ahuja (@chahuja) November 17, 2020
#emnlp2020
An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets
Gregory Spell, Brian Guay, Sunshine Hillygus, Lawrence Carin
Paper: https://t.co/WDAxfGhLpj
Talk: https://t.co/RyI3USYAf2@GregSpellory
/1— Emily P. Ahn (@emilypahn) November 17, 2020
#emnlp2020
RethinkCWS: Is Chinese Word Segmentation a Solved Task?
Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang
Paper: https://t.co/dHbQY6STvB
Talk: https://t.co/RKUW1xKk99
/1— Emily P. Ahn (@emilypahn) November 18, 2020
#emnlp2020
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation
Najoung Kim, Tal Linzen
Paper: https://t.co/ayH20imNiP
Talk: https://t.co/4MFzPyr07Q@najoungkim,@tallinzen
/1— Abhilasha Ravichander (@Lasha1608) November 17, 2020
#emnlp2020
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Yixin Nie, Xiang Zhou and Mohit Bansal
Paper: https://t.co/GNObHsKprG
Talk:https://t.co/X62EEj0vzQ@EasonNie @XiangZhou14 @mohitban47
/1— Abhilasha Ravichander (@Lasha1608) November 19, 2020
#emnlp2020
An Analysis of Natural Language Inference Benchmarks through the Lens of Negation
Md Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, Tiffany Kao, Elizabeth Wei and Eduardo Blanco
Paper: https://t.co/oPc92K1kkx
Talk: https://t.co/u8ZdYBtYZr
/1— Abhilasha Ravichander (@Lasha1608) November 19, 2020
Live from #emnlp2020 Q&A Session 1D
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)
Alex Warstadt, Yian Zhang, Xiaocheng Li, Haokun Liu and Samuel R. Bowman
Paper: https://t.co/hCARFXkxak
Talk: https://t.co/21eqXm5whN
/1— Chandan Akiti (@achandan47) November 16, 2020
Live #emnlp2020 #NLPRoc
Semantic Evaluation for Text-to-SQL with Distilled Test Suites
Ruiqi Zhong, Tao Yu and Dan Klein
Paper: https://t.co/lLJgYS2Hjh
Talk: https://t.co/LSjhFfDfyC@ZhongRuiqi/1
— Ziyu Yao (@ZiyuYao) November 16, 2020
Live #emnlp2020 #NLPRoc
Cross-Thought for Sentence Encoder Pre-training
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jingjing Liu and Jing Jiang
Paper: https://t.co/AlUZHPlelT
(arXiv version: https://t.co/3Zt8GHsQPL)
Talk: https://t.co/ltFflyYTd9/1
— Ziyu Yao (@ZiyuYao) November 16, 2020
Live #emnlp2020 #NLPRoc
AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data
Silei Xu, Sina Semnani, Giovanni Campagna and Monica Lam
Paper: https://t.co/VdKvWkhdaS
Talk: https://t.co/CpIjVVWsEl/1
— Ziyu Yao (@ZiyuYao) November 16, 2020
#emnlp2020
Coarse-to-Fine Pre-training for Named Entity Recognition
Xue Mengge, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang and Bin Wang
Paper: https://t.co/kqWhH6nWJp
Talk: https://t.co/VP72xZ0jYk/1
— zak brown (@doczsb) November 18, 2020
#emnlp2020
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu and Tat-Seng Chua
Paper: https://t.co/zxqD55kKdc
Talk: https://t.co/jBTaIsb2kj/1
— zak brown (@doczsb) November 18, 2020
#emnlp2020
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning
Yi Yang and Arzoo Katiyar
Paper: https://t.co/cAeAarWheJ
Talk: https://t.co/lGXdq2djrW/1
— zak brown (@doczsb) November 18, 2020
#emnlp2020
Learning Structured Representations of Entity Names using ActiveLearning and Weak Supervision
Kun Qian, Poornima Chozhiyath Raman, Yunyao Li and Lucian Popa
Paper: https://t.co/sjCY8t9Qqg
Talk: https://t.co/IIQf5BIUy9@kunqian_us,@yunyao_li,@lucian_popa_us
/1— zak brown (@doczsb) November 18, 2020
#emnlp2020
Entity Enhanced BERT Pre-training for Chinese NER
Chen Jia, Yuefeng Shi, Qinrong Yang and Yue Zhang
Paper: https://t.co/c4ivEfKwR1
Talk: https://t.co/hRcHJEXgQs/1
— zak brown (@doczsb) November 18, 2020
#emnlp2020
Scalable Zero-shot Entity Linking with Dense Entity Retrieval
L. Wu, F. Petroni, M. Josifoski, S. Riedel and L. Zettlemoyer
Paper: https://t.co/BeVMLyGFgt
Talk: https://t.co/1hSa4cviPx@LedellWu;@Fabio_Petroni;@JosifoskiMartin;@riedelcastro;@LukeZettlemoyer
/1— zak brown (@doczsb) November 18, 2020
#emnlp2020
A Dataset for Tracking Entities in Open Domain Procedural Text
Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson and Eduard Hovy
Paper: https://t.co/hMO0oIzBXV
Talk: https://t.co/8OtJB8JE1I/1
— zak brown (@doczsb) November 18, 2020
#emnlp2020
Design Challenges in Low-resource Cross-lingual Entity Linking
Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao and Dan Roth
Paper: https://t.co/s6D4qBz4X2
Talk: https://t.co/tcI0xHvHhb/1
— zak brown (@doczsb) November 18, 2020
#emnlp2020
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda and Yuji Matsumoto
Paper: https://t.co/JNIur5O34Y
Talk: https://t.co/QcnCqgP4DN@ikuyamada
/1— zak brown (@doczsb) November 18, 2020
Live from #emnlp2020: Language Generation
Title: Reformulating Unsupervised Style Transfer as Paraphrase Generation
Authors: Krishna et al.
Paper: https://t.co/Ywaw76kdCu
Talk: https://t.co/oYjXDJAhBj/1
— Danielle Boccelli (@danielleboccell) November 17, 2020
Live from #emnlp2020: Sentiment Analysis, Stylistic Analysis, and Argument Mining
Title: Affective Event Classification with Discourse-enhanced Self-training
Authors: Zhuang et al.
Paper: https://t.co/rEiW6s1nbi
Talk: https://t.co/friB8G38PZ/1
— Danielle Boccelli (@danielleboccell) November 18, 2020
Live from #emnlp2020: Language Generation
Title: Plan ahead: Self-Supervised Text Planning for Paragraph Completion Task
Authors: Kang and Hovy
Paper: https://t.co/A6BVvm20TM
Talk: https://t.co/4gVs2hGA6J#NLPRoc/1
— Danielle Boccelli (@danielleboccell) November 17, 2020
Live from #emnlp2020: Language Generation
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning (Qin et al.)https://t.co/knRFE8hoaNhttps://t.co/KqjRojAPLr
/1
— Danielle Boccelli (@danielleboccell) November 17, 2020
Live from #emnlp2020: Language Generation
PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation
Authors: Hua and Wang
Paper: https://t.co/V7jnzlkvUU
Talk: https://t.co/n6HO74bxcW/1
— Danielle Boccelli (@danielleboccell) November 17, 2020
Live from #emnlp2020: Language Generation
Title: Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
Authors: Ji et al.
Paper: https://t.co/Lrhs1siaEH
Talk: https://t.co/ByKVhkWyIE/1
— Danielle Boccelli (@danielleboccell) November 17, 2020
#emnlp2020
Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models
Pierangelo Lombardo, Alessio Boiardi, Luca Colombo, Angelo Schiavone, Nicolo TamagnonePaper: https://t.co/FecFknxLHw
Talk: https://t.co/oA8Qi3865L@Pierlumba/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining
Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng HePaper: https://t.co/IWsvdb29cc
Talk: https://t.co/rCDYg6lTj2/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
COMETA: A Corpus for Medical Entity Linking in the Social Media
Marco Basaldella, Fangyu Liu, Ehsan Shareghi, Nigel CollierPaper: https://t.co/31yzC8Q2Wh
Talk: https://t.co/2RBSXCzxN8
Code: https://t.co/5iIsSuHQRN/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Multilingual AMR-to-Text Generation
Angela Fan and Claire GardentPaper: https://t.co/bZ5rlu9R4d
Talk: https://t.co/o98h5MPcKJ/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Homophonic Pun Generation with Lexically Constrained Rewriting
Zhiwei Yu, Hongyu Zang, Xiaojun WanPaper: https://t.co/9SZsuzcRHH
Talk: https://t.co/ql5ArMJ5d4/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples
Lihao Wang and Xiaoqing ZhengPaper: https://t.co/m3NRTsgm2o
Talk: https://t.co/LU7qKFYh8I/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Incomplete Utterance Rewriting as Semantic Segmentation
Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei ZhangPaper: https://t.co/P2xLUUiWnq
Talk: https://t.co/IjO53tCQXM
Code: https://t.co/PdgQUROrES/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Incorporating Behavioral Hypotheses for Query Generation
Ruey-Cheng Chen and Chia-Jung LeePaper: https://t.co/H0JYldczWy
Talk: https://t.co/EEdSm8bUXn@rueycheng/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
MEGATRON-CNTRL: Controllable Story Generation w External Knowledge Using Large-Scale Language Models
Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan CatanzaroPaper: https://t.co/WpzuJOvhmj
Talk: https://t.co/34NYb96jmt/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
How to Make Neural Natural Language Generation as Reliable as Templates in Task-Oriented Dialogue
Henry Elder, Alexander O'Connor, Jennifer FosterPaper: https://t.co/jN6DqkznL0
Talk: https://t.co/MyOntvWGBL
Code: https://t.co/Z2KFOSOTXf@Henry_E__/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Speakers Fill Lexical Semantic Gaps with Context
Tiago Pimentel, Rowan Hall Maudslay, Damian Blasi, Ryan CotterellPaper: https://t.co/5cImxhKAxL
Talk: https://t.co/3pZzRKONaD@tpimentelms/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model
Jun Yen Leung, Guy Emerson, Ryan CotterellPaper: https://t.co/n3vcrEetPS
Talk: https://t.co/yN722hq4KH@junyenle/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Surprisal Predicts Code-Switching in Chinese-English Bilingual Text
Jesús Calvillo, Le Fang, Jeremy Cole, David ReitterPaper: https://t.co/0N35fTVnhE
Talk: https://t.co/bhdaW2hAlb/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Word Frequency Does Not Predict Grammatical Knowledge in Language Models
Charles Yu, Ryan Sie, Nicolas Tedeschi, Leon BergenPaper: https://t.co/nw3n93zmFU
Talk: https://t.co/0IQYDChRo7
Code: https://t.co/7qh1bYYEHs/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Monananey, Wei Peng, Sheng-Fu Wang, Samuel BowmanPaper: https://t.co/t3Ub9yJtDb
Talk: https://t.co/4mVvcY2S7q
Code: https://t.co/KxaqZ0SgdE@a_stadt/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Do sequence-to-sequence VAEs learn global features of sentences?
Tom Bosc and Pascal VincentPaper: https://t.co/6jKhSWf0vl
Talk: https://t.co/huCpnaiKs9
Code: https://t.co/5DxyG3h52y/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Sparse Text Generation
Pedro Henrique Martins, Zita Marinho, André F. T. MartinsPaper: https://t.co/nJiGGVB1cU
Talk: https://t.co/8DuZxc9lCi
Code: https://t.co/N6b2Ewua5D/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking
Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, Jianfeng GaoPaper: https://t.co/luC3qcmh7w
Talk: https://t.co/7NXoJIV3XO
Code: https://t.co/ISBuZySHPv/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Content Planning for Neural Story Generation with Aristotelian Rescoring
Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph Weischedel, Nanyun PengPaper: https://t.co/08q7kHuW0f
Talk: https://t.co/mh3EZxtOhk
Code: https://t.co/870PT3UedF@seraphinagt/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Content Planning for Neural Story Generation with Aristotelian Rescoring
Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph Weischedel, Nanyun PengPaper: https://t.co/08q7kHuW0f
Talk: https://t.co/mh3EZxtOhk
Code: https://t.co/870PT3UedF@seraphinagt/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
Generating Dialogue Responses from a Semantic Latent Space
Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia JinPaper: https://t.co/BPvCIFmvNP
Talk: https://t.co/TJ7fkpx5Oc/1
— Jenny Chim (@jennycwchim) November 17, 2020
#emnlp2020
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
Wenhu Chen, Yu Su, Xifeng Yan, William Yang WangPaper: https://t.co/kGFANBUZlB
Talk: https://t.co/1xPFBdlCZM
Code: https://t.co/fxdT0wcI9r@WenhuChen/1
— Jenny Chim (@jennycwchim) November 18, 2020
#emnlp2020
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training
Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill DolanPaper: https://t.co/b3tYLAQhiw
Talk: https://t.co/iqdJkTSh77
/1— Jenny Chim (@jennycwchim) November 18, 2020
#emnlp2020
Unsupervised Text Style Transfer with Padded Masked Language Models
Eric Malmi, Aliaksei Severyn, Sascha RothePaper: https://t.co/oZSr1Hwmkx
Talk: https://t.co/Hl6QEiJFhn@ericmalmi/1
— Jenny Chim (@jennycwchim) November 18, 2020
#emnlp2020
Gradient-guided Unsupervised Lexically Constrained Text Generation
Lei ShaPaper: https://t.co/18OyKsY1O7
Talk: https://t.co/BGufHItxO8@extendAlanShore/1
— Jenny Chim (@jennycwchim) November 18, 2020
#emnlp2020
TeaForN: Teacher-Forcing with N-grams
Sebastian Goodman, Nan Ding, Radu SoricutPaper: https://t.co/PM9Zxj5i9d
Talk: https://t.co/WKikOJ9Qch/1
— Jenny Chim (@jennycwchim) November 18, 2020
#emnlp2020
Deconstructing word embedding algorithms
Kian Kenyon-Dean, Edward Newell, Jackie Chi Kit CheungPaper: https://t.co/3IPjq9wwy1
Talk: https://t.co/DwcA5PXoFC/1
— Jenny Chim (@jennycwchim) November 18, 2020
#emnlp2020
Compositional Demographic Word Embeddings
Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada MihalceaPaper: https://t.co/6noDl1AbTl
Talk: https://t.co/KXBUGYHCi6@ytaipsw/1
— Jenny Chim (@jennycwchim) November 18, 2020
#emnlp2020
Sparsity Makes Sense: Word Sense Disambiguation Using Sparse Contextualized Word Representations
Gábor BerendPaper: https://t.co/W8UoCNi6N8
Talk: https://t.co/NTApJgTn7X
Code: https://t.co/2dd2hXWBuE/1
— Jenny Chim (@jennycwchim) November 18, 2020
Live at #emnlp2020 Q&A Session 4D: Dialog and Interactive Systems
RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling
Jun Quan, et al.,
Paper: https://t.co/9LvGfZJCXVhttps://t.co/1rVgZNnC13
/1— Chandan Akiti (@achandan47) November 17, 2020
Interpretability, explainability, machine learning for NLP, and analysis of NLP models
#emnlp2020
Information-Theoretic Probing with Minimum Description Length
Elena Voita and Ivan Titov
Paper: https://t.co/sMeHY4UcWU
Talk: https://t.co/O969wAkps9@lena_voita
/1— Chandan Akiti (@achandan47) November 16, 2020
Live from #emnlp2020 Zoom Q&A Session 1D: Interpretability and Analysis of Models for NLP
Intrinsic Probing through Dimension Selection
Lucas Torroba Hennigen, Adina Williams and Ryan Cotterell
Paper: https://t.co/TZJPJqfpN3
Talk: https://t.co/ETXoHkor4C
/1— Chandan Akiti (@achandan47) November 16, 2020
Live from #emnlp2020 Q&A Session 3B: Machine Learning for NLP
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
Bang An, Jie Lyu, et al.,
Paper: https://t.co/jZavp9BLQk
Talk: https://t.co/NrCqPepTTt@bang_an_
/1— Chandan Akiti (@achandan47) November 17, 2020
Live from #emnlp2020 Zoom Q&A Session 3B: Machine Learning for NLP
TernaryBERT: Distillation-aware Ultra-low Bit BERT
Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, and Qun Liu
Paper: https://t.co/NINXtWFr3Z
Talk: https://t.co/DTVDdks95R
/1#NLProc— Chandan Akiti (@achandan47) November 17, 2020
Live from #emnlp2020 Zoom Q&A Session 3B: Machine Learning for NLP
Efficient Meta Lifelong-Learning with Limited Memory
Zirui Wang, Sanket Vaibhav Mehta, Barnabas Poczos, and Jaime Carbonell
Paper: https://t.co/gSWvLjclo3
Talk: https://t.co/ZIO5KsmhVx@MrZiruiWang
/1— Chandan Akiti (@achandan47) November 17, 2020
Wang et al: Efficient Meta Lifelong-Learning with Limited Memory #EMNLP2020
Envision machines learning continuously like humans? Lifelong-learning aims at multiple tasks in order without a task descriptor.
This work has made one step forward in this exciting topic!— Xuhui (@nlpxuhui) November 17, 2020
An et al: Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference #EMNLP2020
Are you confused by the intuition behind multi-head attention used in current SOTA NLP models?
Have you ever wondered what does multi-head attention mechanism guarantees?
— Xuhui (@nlpxuhui) November 17, 2020
Bansal et al: Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks #EMNLP2020
Excited about the few-shot ability of GPT-3?
Well, this work offers you a relatively new perspective.— Xuhui (@nlpxuhui) November 17, 2020
Live from Zoom Q&A Session 9B at #emnlp2020
Imitation Attacks and Defenses for Black-box Machine Translation Systems
Authors: @Eric_Wallace_, Mitchell Stern and Dawn Song
Paper: https://t.co/wGjroczsQ0
Talk: https://t.co/ecQ5JTVmDG/1
— Dhruvesh Patel (@_dhruveshp) November 18, 2020
#emnlp2020
A Diagnostic Study of Explainability Techniques for Text Classification
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma and Isabelle Augenstein
Paper: https://t.co/Z7xNt4yzAs
Talk: https://t.co/2GKDGPhFL8@atanasovapepa,@IAugenstein
🚨Gather-2K: 10-12 UTC
/1— Siân Gooding (@SianGooding) November 17, 2020
#EMNLP2020
Pareto Probing: Trading Off Accuracy for Complexity
Tiago Pimentel, Naomi Saphra, Adina Williams and Ryan Cotterell
Paper: https://t.co/PXG9MVHmbM
Talk: https://t.co/IjbIBpQHoC@tpimentelms @nsaphra
🚨Gather-2K: 10-12 UTC
/1— Siân Gooding (@SianGooding) November 17, 2020
#EMNLP2020
Pre-training for Abstractive Document Summarization by Reinstating Source Text
Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei and Ming Zhou
Paper: https://t.co/LrQXBuK2Ud
Talk: https://t.co/F3UOR6Fqrh@Xingxing_Zhang; @zoe_yyzou
1— Siân Gooding (@SianGooding) November 17, 2020
Paper1: An information theoretic view on selecting linguistic probes by Zining Zhu, Frank Rudzicz.https://t.co/1K0VhEfB6fhttps://t.co/iJNyix8eAS
— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 19, 2020
Paper 2:
With Little Power Comes Great Responsibility by Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafskyhttps://t.co/g5bxH82CNthttps://t.co/oCcuq4I9lq— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 19, 2020
Paper3:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics by Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choihttps://t.co/VRu4Od4y3qhttps://t.co/6sbu5T6mJP— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 19, 2020
Paper 4: Evaluating and Characterizing Human Rationales
by Samuel Carton, Anirudh Rathore, Chenhao Tanhttps://t.co/YHhzUr8Y5ehttps://t.co/ZxbNZZpUvj— Nedjma Ousidhoum نجمة أوسيدهم (@nedjmaou) November 19, 2020
#emnlp2020 Livetweeting
Demo: "The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models" (@iftenney and @bengiswex et al.)https://t.co/3fZ6vkN9cy pic.twitter.com/nEAmQNvHVZ— Khalil خليل ⵅⴰⵍⵉⵍ (@KhalilMrini) November 17, 2020
#emnlp2020 Livetweeting
Demo: "WantWords: An Open-source Online Reverse Dictionary System" (Qi and Zhang et al.)https://t.co/d632VnqaTj pic.twitter.com/7dFQaP72mn— Khalil خليل ⵅⴰⵍⵉⵍ (@KhalilMrini) November 17, 2020
#emnlp2020 Livetweeting
Interpretability: "Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation" (@WWRob and Alex Morrison)https://t.co/NEV66sjxpU pic.twitter.com/XESNLNVOmT— Khalil خليل ⵅⴰⵍⵉⵍ (@KhalilMrini) November 17, 2020
#emnlp2020 tweeting the session on Interpretability and Analysis of Models for NLP with the following papers:
* Adversarial Semantic Collisions
* Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification
>>— Yuval Pinter (@yuvalpi) November 17, 2020
Starting with a short summary of Autoprompt:
Robert Logan presenting. The key is creating prompts for many tasks in an automatic manner in order to check model performance.https://t.co/3Sg5HwNdKg#emnlp2020— Yuval Pinter (@yuvalpi) November 17, 2020
Next, Congheng Song, Adversarial Semantic Collisions.
This is more of an adversarial attack paper than an interpretability. We show several methods for attacking classification models using the notion of collisions.https://t.co/mMoTCqxPyA#emnlp2020— Yuval Pinter (@yuvalpi) November 17, 2020
Prithviraj Sen introducing Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification: what does it take to learn rule-based classifiers that humans can read?https://t.co/LSk8nE8JPu#emnlp2020
— Yuval Pinter (@yuvalpi) November 17, 2020
.@hanjie_chen introducing Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers.
We try to improve interpretability of models, showing that performance can improve while maintaining post-hoc explainability.https://t.co/9Nj4zJJxeu#emnlp2020— Yuval Pinter (@yuvalpi) November 17, 2020
Question answering, machine translation, dialog systems, and summarization
Live from Zoom Q&A Session 4A at #emnlp2020
Connecting the Dots: Event Graph Schema Induction with Path Language Modeling
Authors: Manling Li et. al.
Paper: https://t.co/YXKVJXL6du
Talk: https://t.co/GjIFo9wZCT/1
— Dhruvesh Patel (@_dhruveshp) November 17, 2020
Live from Zoom Q&A Session 4A at #emnlp2020
Joint Constrained Learning for Event-Event Relation Extraction
Authors: Haoyu Wang, .@muhao_chen, .@hongming110 and .@dannydanr
Paper: https://t.co/wdNwMUh9Dn
Talk: https://t.co/z5TUYPfl6Y/1
— Dhruvesh Patel (@_dhruveshp) November 17, 2020
Live from Zoom Q&A Session 4A at #emnlp2020
Event Extraction by Answering (Almost) Natural Questions
Authors: Xinya Du and Claire Cardie
Paper: https://t.co/6j6HYB27s2
Talk: https://t.co/H63id16a3R/1
— Dhruvesh Patel (@_dhruveshp) November 17, 2020
QA session starting in a couple of hours #emnlp2020
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi and Tongtong WuPaper: https://t.co/oQ62NinnAB
Talk: https://t.co/1QROYCc8Gj/1
— Mubashara Akhtar (@akhtarmubashara) November 17, 2020
QA starting in a few hours #emnlp2020
Training Question Answering Models From Synthetic Data
Raul Puri, Ryan Spring, Mohammad Shoeybi, Mostofa Patwary and Bryan CatanzaroPaper: https://t.co/jBlsxtYMPL
Talk: https://t.co/7Y34w1Dbev@TheRealRPuri @MohammadShoeybi @ctnzr/1
— Mubashara Akhtar (@akhtarmubashara) November 17, 2020
QA session starting in four hours #emnlp2020
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
Dayiheng Liu et al.Paper: https://t.co/6uKXIYlLlv
Talk: https://t.co/9ZqoMzkGOK/1
— Mubashara Akhtar (@akhtarmubashara) November 17, 2020
Live-tweeting from #emnlp2020 starting in 4 hours
AmbigQA: Answering Ambiguous Open-domain Questions
Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke ZettlemoyerPaper: https://t.co/lvEcdqbOQF
Talk: https://t.co/8LJzni7Izv@sewon__min @_julianmichael_ @LukeZettlemoyer/1
— Mubashara Akhtar (@akhtarmubashara) November 17, 2020
#emnlp2020
Statistical Power and Translationese in Machine Translation Evaluation
Yvette Graham, Barry Haddow and Philipp Koehn
Paper: https://t.co/Ppo5nVzezL
Talk: https://t.co/PXpPDkbRci
/1— Jindřich Libovický (@jlibovicky) November 16, 2020
#emnlp2020
BLEU might be Guilty but References are not Innocent
Markus Freitag, David Grangier and Isaac Caswell
Paper: https://t.co/Ppo5nVzezL
Talk: https://t.co/NwzWGRaFwH@markuseful, @GrangierDavid, @iseeaswell
/1— Jindřich Libovický (@jlibovicky) November 16, 2020
#emnlp2020
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing
Brian Thompson and Matt Post
Paper: https://t.co/A3FYBuLple
Talk: https://t.co/t6wZlT30nF
/1— Jindřich Libovický (@jlibovicky) November 16, 2020
#emnlp2020
Simultaneous Machine Translation with Visual Context
Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault and Lucia Specia
Paper: https://t.co/QqsXN8Lzkf
Talk: https://t.co/IOdL7RSZPJ@Ozan__Caglayan
/1— Jindřich Libovický (@jlibovicky) November 17, 2020
#emnlp2020
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, Qianchu Liu, Ivan Vulić and Anna Korhonen
Paper: https://t.co/Wi8Lgvt0MB
Talk: https://t.co/wWpwCdDpwm@licwu
/1— Jindřich Libovický (@jlibovicky) November 17, 2020
#emnlp2020
Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language Representations
Arturo Oncevay, Barry Haddow and Alexandra Birch
Paper: https://t.co/A8odAwRGWA
Talk: https://t.co/zfHDOLZBbn
/1— Jindřich Libovický (@jlibovicky) November 17, 2020
#EMNLP2020, Graham, Haddow & Koehn: Statistical Power and Translationese in Machine Translation Evaluation
1) confirmed that using translated texts as source is not good (makes MT easier)
2) confirmed that "human parity" is not really achieved yet
— Maja Popović (@amelija16mp) November 16, 2020
#EMNLP2020 Freitag, Grangier, Caswell: BLEU might be Guilty but References are not Innocent
Automatic evaluation metrics are far from perfect (especially BLEU), but they behave much better if more diverse reference translations are available
— Maja Popović (@amelija16mp) November 16, 2020
#EMNLP2020 Khayrallah, Thompson, Post, Koehn: "Simulated Multiple Reference Training Improves Low-Resource Machine Translation"
Again, paraphrased sentences are useful, this time for training.
Not really restricted to low-resource setting
— Maja Popović (@amelija16mp) November 16, 2020
Live at #emnlp2020 Zoom Q&A Session 4D: Dialog and Interactive Systems
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
Chien-Sheng Wu, Steven Hoi, Richard Socher, and Caiming Xiong
Paper: https://t.co/2Tifv5JGJU
Talk: https://t.co/SFWcfdAhpv
/1— Chandan Akiti (@achandan47) November 17, 2020
Live from #emnlp2020 Zoom Q&A Session 4D: Dialog and Interactive Systems
Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness
Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui
Paper: https://t.co/2JyethOLgAhttps://t.co/yWWdshHbCw
/1— Chandan Akiti (@achandan47) November 17, 2020
A summary of the #EMNLP2020 #Summarization session that I moderated today. Very interesting papers on dialogue summarization w. multi-view Seq2Seq, abstractive opinion summarization, sentence fusion in transformers-based summarization & structured transformers for extractive sum: pic.twitter.com/7GiaDQs74g
— Dr. Asma Ben Abacha (@AsmaBenAbacha) November 17, 2020
1) Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization. @jiaao_chen & @Diyi_Yang. Paper: https://t.co/LZ4AYhnYTb Video: https://t.co/mnEROs023e
— Dr. Asma Ben Abacha (@AsmaBenAbacha) November 17, 2020
2) Few-Shot Learning for Opinion Summarization. @abrazinskas_nlp, @mlapata & @iatitov. Paper: https://t.co/0rjHvua3Xe Video: https://t.co/pmDbMC2jKz
— Dr. Asma Ben Abacha (@AsmaBenAbacha) November 17, 2020
3) Learning to Fuse Sentences with Transformers for Summarization. @LLebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang & @feiliu_nlp Paper: https://t.co/VxzrSn7Ro8 Video: https://t.co/sCHq9vIdei
— Dr. Asma Ben Abacha (@AsmaBenAbacha) November 17, 2020
4) Stepwise Extractive Summarization and Planning with Structured Transformers. Shashi Narayan, Joshua Maynez, Jakub Adamek, Daniele Pighin, Blaz Bratanic & Ryan McDonald
Paper: https://t.co/PQaRwYO3PM Video: https://t.co/b7pbwJWUHP— Dr. Asma Ben Abacha (@AsmaBenAbacha) November 17, 2020
NLP applications
Live from Zoom Q&A Session 2B at #EMNLP2020
Paper 1: Data Weighted Training Strategies for Grammatical Error Correction
Authors: Jared Lichtarge, Chris Alberti, Shankar Kumar
Slides and Talk: https://t.co/0Tr9gUiXvM
/1— Taniya Seth (@taniya_seth) November 16, 2020
Live from Zoom Q&A Session 2B at #EMNLP2020
Paper 3: Multi-Dimensional Gender Bias Classification
Authors: Emily Dinan, Angela Fan, Ledell Wu, Jason Weston, Douwe Kiela, Adina Williams
Slides and Talk: https://t.co/h4Qcl67V0I
/1— Taniya Seth (@taniya_seth) November 16, 2020
Live from Zoom Q&A Session 13B at #emnlp2020, session on NLP Applications
Paper 1: To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints
Authors: Patra et al
Slides: https://t.co/0rAn2EYYLh#NLProc— Taniya Seth (@taniya_seth) November 18, 2020
Live from Zoom Q&A Session 13B at #emnlp2020, session on NLP Applications
Paper 2: Predicting In-game Actions from Interviews of NBA Players
Authors: Oved et al
Slides: https://t.co/gjnshxa0C0#NLProc
/1— Taniya Seth (@taniya_seth) November 18, 2020
Live from Zoom Q&A Session 13B at #emnlp2020, session on NLP Applications
Paper 3: An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels
Authors: Chalkidis et al
Slides: https://t.co/BaFthiTYlE#NLProc
/1— Taniya Seth (@taniya_seth) November 18, 2020
Live from Zoom Q&A Session 13B at #emnlp2020, session on NLP Applications
Paper 4: Which *BERT? A Survey Organizing Contextualized Encoders
Authors: Xia et al
Slides: https://t.co/rbHjQ1z1Ng#NLProc
/1— Taniya Seth (@taniya_seth) November 18, 2020
Live from Zoom Q&A Session 13B at #emnlp2020, session on NLP Applications
Paper 5: Fact or Fiction: Verifying Scientific Claims
Authors: Wadden et al
Slides: https://t.co/Tm3V0R4P73#NLProc
/1— Taniya Seth (@taniya_seth) November 18, 2020
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