EMNLP 2022

2,056 papers

Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022): Workshop and Shared Task Report

Ali Hürriyetoğlu, Hristo Tanev, Vanni Zavarella, Reyyan Yeniterzi, Osman Mutlu

Tracking COVID-19 protest events in the United States. Shared Task 2: Event Database Replication, CASE 2022

Vanni Zavarella, Hristo Tanev, Ali Hürriyetoğlu, Peratham Wiriyathammabhum, Bertrand De Longueville

Event Causality Identification with Causal News Corpus - Shared Task 3, CASE 2022

Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoğlu, Tommaso Caselli, Onur Uca

SPARTA at CASE 2021 Task 1: Evaluating Different Techniques to Improve Event Extraction

Arthur Müller, Andreas Dafnos

CEIA-NLP at CASE 2022 Task 1: Protest News Detection for Portuguese

Diogo Fernandes, Adalberto Junior, Gabriel Marques, Anderson Soares, Arlindo Galvao Filho

ARC-NLP at CASE 2022 Task 1: Ensemble Learning for Multilingual Protest Event Detection

Umitcan Sahin, Oguzhan Ozcelik, Izzet Emre Kucukkaya, Cagri Toraman

CamPros at CASE 2022 Task 1: Transformer-based Multilingual Protest News Detection

Neha Kumari, Mrinal Anand, Tushar Mohan, Ponnurangam Kumaraguru, Arun Balaji Buduru

NSUT-NLP at CASE 2022 Task 1: Multilingual Protest Event Detection using Transformer-based Models

Manan Suri, Krish Chopra, Adwita Arora

EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction

Huiling You, David Samuel, Samia Touileb, Lilja Øvrelid

ClassBases at the CASE-2022 Multilingual Protest Event Detection Task: Multilingual Protest News Detection and Automatically Replicating Manually Created Event Datasets

Peratham Wiriyathammabhum

ARGUABLY @ Causal News Corpus 2022: Contextually Augmented Language Models for Event Causality Identification

Guneet Kohli, Prabsimran Kaur, Jatin Bedi

CSECU-DSG @ Causal News Corpus 2022: Fusion of RoBERTa Transformers Variants for Causal Event Classification

Abdul Aziz, MD. Akram Hossain, Abu Nowshed Chy

SPOCK @ Causal News Corpus 2022: Cause-Effect-Signal Span Detection Using Span-Based and Sequence Tagging Models

Anik Saha, Alex Gittens, Jian Ni, Oktie Hassanzadeh, Bulent Yener

Zero-Shot Ranking Socio-Political Texts with Transformer Language Models to Reduce Close Reading Time

Kiymet Akdemir, Ali Hürriyetoğlu

Political Event Coding as Text-to-Text Sequence Generation

Yaoyao Dai, Benjamin Radford, Andrew Halterman

Hybrid Knowledge Engineering Leveraging a Robust ML Framework to Produce an Assassination Dataset

Abigail Sticha, Paul Brenner

1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector

Xingran Chen, Ge Zhang, Adam Nik, Mingyu Li, Jie Fu

1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data

Adam Nik, Ge Zhang, Xingran Chen, Mingyu Li, Jie Fu

GGNN@Causal News Corpus 2022:Gated Graph Neural Networks for Causal Event Classification from Social-Political News Articles

Paul Trust, Rosane Minghim, Evangelos Milos, Kadusabe Provia

NoisyAnnot@ Causal News Corpus 2022: Causality Detection using Multiple Annotation Decisions

Quynh Anh Nguyen, Arka Mitra

IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model

Martin Fajcik, Muskaan Singh, Juan Pablo Zuluaga-gomez, Esau Villatoro-tello, Sergio Burdisso

IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach

Sergio Burdisso, Juan Pablo Zuluaga-gomez, Esau Villatoro-tello, Martin Fajcik, Muskaan Singh

Cross-modal Transfer Between Vision and Language for Protest Detection

Ria Raj, Kajsa Andreasson, Tobias Norlund, Richard Johansson, Aron Lagerberg

LTRC @ Causal News Corpus 2022: Extracting and Identifying Causal Elements using Adapters

Hiranmai Sri Adibhatla, Manish Shrivastava

SNU-Causality Lab @ Causal News Corpus 2022: Detecting Causality by Data Augmentation via Part-of-Speech tagging

Juhyeon Kim, Yesong Choe, Sanghack Lee

Improving Zero-Shot Event Extraction via Sentence Simplification

Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan

A Hybrid Knowledge and Transformer-Based Model for Event Detection with Automatic Self-Attention Threshold, Layer and Head Selection

Thierry Desot, Orphee De Clercq, Véronique Hoste

NLP4ITF @ Causal News Corpus 2022: Leveraging Linguistic Information for Event Causality Classification

Theresa Krumbiegel, Sophie Decher

EventGraph: Event Extraction as Semantic Graph Parsing

Huiling You, David Samuel, Samia Touileb, Lilja Øvrelid

A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict

Surendrabikram Thapa, Aditya Shah, Farhan Jafri, Usman Naseem, Imran Razzak

Universal and Independent: Multilingual Probing Framework for Exhaustive Model Interpretation and Evaluation

Oleg Serikov, Vitaly Protasov, Ekaterina Voloshina, Viktoria Knyazkova, Tatiana Shavrina

A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition

Darcey Riley, David Chiang

Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering

Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa

Probing with Noise: Unpicking the Warp and Weft of Embeddings

Filip Klubička, John Kelleher

Decomposing Natural Logic Inferences for Neural NLI

Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Andre Freitas

Probing the representations of named entities in Transformer-based Language Models

Stefan Schouten, Peter Bloem, Piek Vossen

Probing Pretrained Models of Source Codes

Sergey Troshin, Nadezhda Chirkova

Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification

Ruixuan Tang, Hanjie Chen, Yangfeng Ji

Practical Benefits of Feature Feedback Under Distribution Shift

Anurag Katakkar, Clay H. Yoo, Weiqin Wang, Zachary Lipton, Divyansh Kaushik

DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Models

Royi Rassin, Shauli Ravfogel, Yoav Goldberg

Using Roark-Hollingshead Distance to Probe BERT’s Syntactic Competence

Jingcheng Niu, Wenjie Lu, Eric Corlett, Gerald Penn

Testing Pre-trained Language Models’ Understanding of Distributivity via Causal Mediation Analysis

Pangbo Ban, Yifan Jiang, Tianran Liu, Shane Steinert-Threlkeld

Garden Path Traversal in GPT-2

William Jurayj, William Rudman, Carsten Eickhoff

Probing GPT-3’s Linguistic Knowledge on Semantic Tasks

Lining Zhang, Mengchen Wang, Liben Chen, Wenxin Zhang

Explaining Translationese: why are Neural Classifiers Better and what do they Learn?

Kwabena Amponsah-Kaakyire, Daria Pylypenko, Josef Genabith, Cristina España-Bonet

On the Compositional Generalization Gap of In-Context Learning

Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron Courville

Controlling for Stereotypes in Multimodal Language Model Evaluation

Manuj Malik, Richard Johansson

It Is Not Easy To Detect Paraphrases: Analysing Semantic Similarity With Antonyms and Negation Using the New SemAntoNeg Benchmark

Teemu Vahtola, Mathias Creutz, Jörg Tiedemann

Investigating the Characteristics of a Transformer in a Few-Shot Setup: Does Freezing Layers in RoBERTa Help?

Digvijay Ingle, Rishabh Tripathi, Ayush Kumar, Kevin Patel, Jithendra Vepa

Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information

Isar Nejadgholi, Esma Balkir, Kathleen Fraser, Svetlana Kiritchenko

Intermediate Entity-based Sparse Interpretable Representation Learning

Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron Wallace

Understanding Domain Learning in Language Models Through Subpopulation Analysis

Zheng Zhao, Yftah Ziser, Shay Cohen

Analyzing the Representational Geometry of Acoustic Word Embeddings

Badr Abdullah, Dietrich Klakow

Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions

Jenny Kunz, Martin Jirenius, Oskar Holmström, Marco Kuhlmann

Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System

Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon

Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models

David Yi, James Bruno, Jiayu Han, Peter Zukerman, Shane Steinert-Threlkeld

Are Multilingual Sentiment Models Equally Right for the Right Reasons?

Rasmus Jørgensen, Fiammetta Caccavale, Christian Igel, Anders Søgaard

How (Un)Faithful is Attention?

Hessam Amini, Leila Kosseim

Universal Evasion Attacks on Summarization Scoring

Wenchuan Mu, Kwan Hui Lim

Post-hoc analysis of Arabic transformer models

Ahmed Abdelali, Nadir Durrani, Fahim Dalvi, Hassan Sajjad

Is It Smaller Than a Tennis Ball? Language Models Play the Game of Twenty Questions

Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans

Revisit Systematic Generalization via Meaningful Learning

Ning Shi, Boxin Wang, Wei Wang, Xiangyu Liu, Zhouhan Lin

Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines

Kiron Deb, Xuan Zhang, Kevin Duh

Sentence Ambiguity, Grammaticality and Complexity Probes

Sunit Bhattacharya, Vilém Zouhar, Ondřej Bojar

Where’s the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit

Mughilan Muthupari, Samrat Halder, Asad Sayeed, Yuval Marton

Sparse Interventions in Language Models with Differentiable Masking

Nicola De Cao, Leon Schmid, Dieuwke Hupkes, Ivan Titov

A Minimal Model for Compositional Generalization on gSCAN

Alice Hein, Klaus Diepold

Human-in-the-Loop Hate Speech Classification in a Multilingual Context

Ana Kotarcic, Dominik Hangartner, Fabrizio Gilardi, Selina Kurer, Karsten Donnay

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation

Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan

Multiple Instance Learning for Offensive Language Detection

Jiexi Liu, Dehan Kong, Longtao Huang, Dinghui Mao, hui xue

Analyzing the Limits of Self-Supervision in Handling Bias in Language

Lisa Bauer, Karthik Gopalakrishnan, Spandana Gella, Yang Liu, Mohit Bansal

Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments

Maor Ivgi, Yair Carmon, Jonathan Berant

Dependency Parsing via Sequence Generation

Boda Lin, Zijun Yao, Jiaxin Shi, Shulin Cao, Binghao Tang

HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning

Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng

Guiding Neural Machine Translation with Semantic Kernels

Ping Guo, Yue Hu, Xiangpeng Wei, Yubing Ren, Yunpeng Li

CHIA: CHoosing Instances to Annotate for Machine Translation

Rajat Bhatnagar, Ananya Ganesh, Katharina Kann

How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection

Jiazhan Feng, Chongyang Tao, Chang Liu, Rui Yan, Dongyan Zhao

Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis

Yuxin Xiao, Paul Pu Liang, Umang Bhatt, Willie Neiswanger, Ruslan Salakhutdinov

Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems

Yoshitomo Matsubara, Luca Soldaini, Eric Lind, Alessandro Moschitti

Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation

Michalis Korakakis, Andreas Vlachos

Time-aware Prompting for Text Generation

Shuyang Cao, Lu Wang

Revisiting Transformer-based Models for Long Document Classification

Xiang Dai, Ilias Chalkidis, Sune Darkner, Desmond Elliott

Topic-Aware Response Generation in Task-Oriented Dialogue with Unstructured Knowledge Access

Yue Feng, Gerasimos Lampouras, Ignacio Iacobacci

Logical Fallacy Detection

Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding

Efficient Zero-shot Event Extraction with Context-Definition Alignment

Hongming Zhang, Wenlin Yao, Dong Yu

SlovakBERT: Slovak Masked Language Model

Matúš Pikuliak, Štefan Grivalský, Martin Konôpka, Miroslav Blšták, Martin Tamajka

LPC: A Logits and Parameter Calibration Framework for Continual Learning

Xiaodi Li, Zhuoyi Wang, Dingcheng Li, Latifur Khan, Bhavani Thuraisingham

Adapting Multilingual Models for Code-Mixed Translation

Aditya Vavre, Abhirut Gupta, Sunita Sarawagi

Reason first, then respond: Modular Generation for Knowledge-infused Dialogue

Leonard Adolphs, Kurt Shuster, Jack Urbanek, arthur szlam, Jason Weston

Guiding Neural Story Generation with Reader Models

Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani

APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets

Kichang Yang, Wonjun Jang, Won Ik Cho

CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts

Yequan Wang, Hengran Zhang, Aixin Sun, Xuying Meng

Weight Perturbation as Defense against Adversarial Word Substitutions

Jianhan Xu, Linyang Li, Jiping Zhang, Xiaoqing Zheng, Kai-Wei Chang

Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding

Jiali Zeng, Yongjing Yin, Yufan Jiang, Shuangzhi Wu, Yunbo Cao

How to Stop an Avalanche? JoDeM: Joint Decision Making through Compare and Contrast for Dialog State Tracking

Haoming Wang, Wang Xin

Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning

Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark Riedl

Lexi: Self-Supervised Learning of the UI Language

Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva

Efficient (Soft) Q-Learning for Text Generation with Limited Good Data

Han Guo, Bowen Tan, Zhengzhong Liu, Eric Xing, Zhiting Hu

CONSISTENT: Open-Ended Question Generation From News Articles

Tuhin Chakrabarty, Justin Lewis, Smaranda Muresan

What do Large Language Models Learn beyond Language?

Avinash Madasu, Shashank Srivastava