EMNLP 2021

1,847 papers

ProSPer: Probing Human and Neural Network Language Model Understanding of Spatial Perspective

Tessa Masis, Carolyn Jane Anderson

ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns’ Semantic Properties and their Prototypicality

Marianna Apidianaki, Aina Garí Soler

What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations

Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana

On the Limits of Minimal Pairs in Contrastive Evaluation

Jannis Vamvas, Rico Sennrich

The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation

Laura Aina, Tal Linzen

Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings

Hendrik Schuff, Hsiu-Yu Yang, Heike Adel, Ngoc Thang Vu

Test Harder than You Train: Probing with Extrapolation Splits

Jenny Kunz, Marco Kuhlmann

To what extent do human explanations of model behavior align with actual model behavior?

Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela

Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching

Manav Kapadnis, Sohan Patnaik, Siba Panigrahi, Varun Madhavan, Abhilash Nandy

Key Point Matching with Transformers

Emanuele Cosenza

Key Point Analysis via Contrastive Learning and Extractive Argument Summarization

Milad Alshomary, Timon Gurcke, Shahbaz Syed, Philipp Heinisch, Maximilian Spliethöver

Modern Talking in Key Point Analysis: Key Point Matching using Pretrained Encoders

Jan Heinrich Reimer, Thi Kim Hanh Luu, Max Henze, Yamen Ajjour

Matching The Statements: A Simple and Accurate Model for Key Point Analysis

Viet Hoang Phan, Tien Long Nguyen, Duc Long Nguyen, Ngoc Khanh Doan

Overview of the 2021 Key Point Analysis Shared Task

Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz

Multi-task Learning in Argument Mining for Persuasive Online Discussions

Nhat Tran, Diane Litman

Self-trained Pretrained Language Models for Evidence Detection

Mohamed Elaraby, Diane Litman

Predicting Moderation of Deliberative Arguments: Is Argument Quality the Key?

Neele Falk, Iman Jundi, Eva Maria Vecchi, Gabriella Lapesa

Multilingual Counter Narrative Type Classification

Yi-Ling Chung, Marco Guerini, Rodrigo Agerri

Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes

Takahiro Kondo, Koki Washio, Katsuhiko Hayashi, Yusuke Miyao

Argumentation Mining in Scientific Literature for Sustainable Development

Aris Fergadis, Dimitris Pappas, Antonia Karamolegkou, Haris Papageorgiou

Citizen Involvement in Urban Planning - How Can Municipalities Be Supported in Evaluating Public Participation Processes for Mobility Transitions?

Julia Romberg, Stefan Conrad

M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts

Rafael Mestre, Razvan Milicin, Stuart E. Middleton, Matt Ryan, Jiatong Zhu

Assessing the Sufficiency of Arguments through Conclusion Generation

Timon Gurcke, Milad Alshomary, Henning Wachsmuth

Exploring Methodologies for Collecting High-Quality Implicit Reasoning in Arguments

Keshav Singh, Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Kentaro Inui

Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction Study

Myrthe Reuver, Suzan Verberne, Roser Morante, Antske Fokkens

Image Retrieval for Arguments Using Stance-Aware Query Expansion

Johannes Kiesel, Nico Reichenbach, Benno Stein, Martin Potthast

Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion Generation

Juri Opitz, Philipp Heinisch, Philipp Wiesenbach, Philipp Cimiano, Anette Frank

Multi-task and Multi-corpora Training Strategies to Enhance Argumentative Sentence Linking Performance

Jan Wira Gotama Putra, Simone Teufel, Takenobu Tokunaga

Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate

Muhammad Mahad Afzal Bhatti, Ahsan Suheer Ahmad, Joonsuk Park

GeDi: Generative Discriminator Guided Sequence Generation

Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq Joty

Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets

Michael Kranzlein, Nelson F. Liu, Nathan Schneider

Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding

Shane Storks, Qiaozi Gao, Yichi Zhang, Joyce Chai

Does Putting a Linguist in the Loop Improve NLU Data Collection?

Alicia Parrish, William Huang, Omar Agha, Soo-Hwan Lee, Nikita Nangia

Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference

Canming Huang, Weinan He, Yongmei Liu

Grammatical Error Correction with Contrastive Learning in Low Error Density Domains

Hannan Cao, Wenmian Yang, Hwee Tou Ng

HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context Representations

Sabine Wehnert, Christian Scheel, Simona Szakács-Behling, Maret Nieländer, Patrick Mielke

MultiFix: Learning to Repair Multiple Errors by Optimal Alignment Learning

HyeonTae Seo, Yo-Sub Han, Sang-Ki Ko

Incorporating Circumstances into Narrative Event Prediction

Shichao Wang, Xiangrui Cai, Hongbin Wang, Xiaojie Yuan

Counter-Contrastive Learning for Language GANs

Yekun Chai, Haidong Zhang, Qiyue Yin, Junge Zhang

‘Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP

Anna Rogers, Timothy Baldwin, Kobi Leins

Counterfactual Adversarial Learning with Representation Interpolation

Wei Wang, Boxin Wang, Ning Shi, Jinfeng Li, Bingyu Zhu

A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering

Deyu Zhou, Yanzheng Xiang, Linhai Zhang, Chenchen Ye, Qian-Wen Zhang

Sustainable Modular Debiasing of Language Models

Anne Lauscher, Tobias Lueken, Goran Glavaš

MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer

Alan Ansell, Edoardo Maria Ponti, Jonas Pfeiffer, Sebastian Ruder, Goran Glavaš

Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation

Haoran Yang, Wai Lam, Piji Li

Perceived and Intended Sarcasm Detection with Graph Attention Networks

Joan Plepi, Lucie Flek

Speculative Sampling in Variational Autoencoders for Dialogue Response Generation

Shoetsu Sato, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa

Stacked AMR Parsing with Silver Data

Qingrong Xia, Zhenghua Li, Rui Wang, Min Zhang

Don’t Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques

Hossein Amirkhani, Mohammad Taher Pilehvar

A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation

Linhai Zhang, Deyu Zhou, Chao Lin, Yulan He

AutoEQA: Auto-Encoding Questions for Extractive Question Answering

Stalin Varanasi, Saadullah Amin, Guenter Neumann

Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech

Tomer Wullach, Amir Adler, Einat Minkov

Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation

Ke Wang, Yangbin Shi, Jiayi Wang, Yuqi Zhang, Yu Zhao

Data-Efficient Language Shaped Few-shot Image Classification

Zhenwen Liang, Xiangliang Zhang

Fine-grained Typing of Emerging Entities in Microblogs

Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda

Predicting Anti-Asian Hateful Users on Twitter during COVID-19

Jisun An, Haewoon Kwak, Claire Seungeun Lee, Bogang Jun, Yong-Yeol Ahn

Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model

Sheng Bi, Xiya Cheng, Yuan-Fang Li, Lizhen Qu, Shirong Shen

Secoco: Self-Correcting Encoding for Neural Machine Translation

Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li

QACE: Asking Questions to Evaluate an Image Caption

Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, Kyomin Jung

Syntactically Diverse Adversarial Network for Knowledge-Grounded Conversation Generation

Fuwei Cui, Hui Di, Hongjie Ren, Kazushige Ouchi, Ze Liu

Comprehensive Punctuation Restoration for English and Polish

Michał Pogoda, Tomasz Walkowiak

Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework

Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal

ForumSum: A Multi-Speaker Conversation Summarization Dataset

Misha Khalman, Yao Zhao, Mohammad Saleh

Aspect-based Sentiment Analysis in Question Answering Forums

Wenxuan Zhang, Yang Deng, Xin Li, Lidong Bing, Wai Lam

Self-Training using Rules of Grammar for Few-Shot NLU

Joonghyuk Hahn, Hyunjoon Cheon, Kyuyeol Han, Cheongjae Lee, Junseok Kim

Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text

Maya Varma, Laurel Orr, Sen Wu, Megan Leszczynski, Xiao Ling

Active Learning for Rumor Identification on Social Media

Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Sardar Hamidian, Mona Diab

Glyph Enhanced Chinese Character Pre-Training for Lexical Sememe Prediction

Boer Lyu, Lu Chen, Kai Yu

Do We Know What We Don’t Know? Studying Unanswerable Questions beyond SQuAD 2.0

Elior Sulem, Jamaal Hay, Dan Roth

KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships

Lei He, Suncong Zheng, Tao Yang, Feng Zhang

Co-Teaching Student-Model through Submission Results of Shared Task

Kouta Nakayama, Shuhei Kurita, Akio Kobayashi, Yukino Baba, Satoshi Sekine

A multilabel approach to morphosyntactic probing

Naomi Shapiro, Amandalynne Paullada, Shane Steinert-Threlkeld

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks

Xuye Liu, Dakuo Wang, April Wang, Yufang Hou, Lingfei Wu

NICE: Neural Image Commenting with Empathy

Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi

MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets

Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov

Improving Text Auto-Completion with Next Phrase Prediction

Dong-Ho Lee, Zhiqiang Hu, Roy Ka-Wei Lee

An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next

Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu

Competing Independent Modules for Knowledge Integration and Optimization

Parsa Bagherzadeh, Sabine Bergler

Learning Task Sampling Policy for Multitask Learning

Dhanasekar Sundararaman, Henry Tsai, Kuang-Huei Lee, Iulia Turc, Lawrence Carin

Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates

Xiaochuang Han, Yulia Tsvetkov

Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching

Parul Chopra, Sai Krishna Rallabandi, Alan W Black, Khyathi Raghavi Chandu

Block-wise Word Embedding Compression Revisited: Better Weighting and Structuring

Jong-Ryul Lee, Yong-Ju Lee, Yong-Hyuk Moon

Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages

Lifeng Jin, Byung-Doh Oh, William Schuler

Does Vision-and-Language Pretraining Improve Lexical Grounding?

Tian Yun, Chen Sun, Ellie Pavlick

Mitigating Data Poisoning in Text Classification with Differential Privacy

Chang Xu, Jun Wang, Francisco Guzmán, Benjamin Rubinstein, Trevor Cohn

Task-Oriented Clustering for Dialogues

Chenxu Lv, Hengtong Lu, Shuyu Lei, Huixing Jiang, Wei Wu

FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition

Yichong Leng, Xu Tan, Rui Wang, Linchen Zhu, Jin Xu

Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables

Weizhi Wang, Zhirui Zhang, Yichao Du, Boxing Chen, jun xie

Improved Word Sense Disambiguation with Enhanced Sense Representations

Yang Song, Xin Cai Ong, Hwee Tou Ng, Qian Lin

A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation

Dingcheng Li, Hongliang Fei, Shaogang Ren, Ping Li

Reference-based Weak Supervision for Answer Sentence Selection using Web Data

Vivek Krishnamurthy, Thuy Vu, Alessandro Moschitti

FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning

Xu Wang, Hainan Zhang, Shuai Zhao, Yanyan Zou, Hongshen Chen

Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models

Jaromir Savelka, Kevin Ashley

Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health

Andrew Lee, Jonathan K. Kummerfeld, Larry An, Rada Mihalcea

The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution

Malik Altakrori, Jackie Chi Kit CHEUNG, Benjamin C. M. Fung

Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation

Xin Zheng, Zhirui Zhang, Shujian Huang, Boxing Chen, jun xie

Bag of Tricks for Optimizing Transformer Efficiency

Ye Lin, Yanyang Li, Tong Xiao, Jingbo Zhu

Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts

Allen Kim, Charuta Pethe, Naoya Inoue, Steve Skiena

Written Justifications are Key to Aggregate Crowdsourced Forecasts

Saketh Kotamraju, Eduardo Blanco

Want To Reduce Labeling Cost? GPT-3 Can Help

Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng