ACL 2021

1,634 papers

Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes

Vasiliki Kougia, John Pavlopoulos

Racist or Sexist Meme? Classifying Memes beyond Hateful

Haris Bin Zia, Ignacio Castro, Gareth Tyson

VL-BERT+: Detecting Protected Groups in Hateful Multimodal Memes

Piush Aggarwal, Michelle Espranita Liman, Darina Gold, Torsten Zesch

Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection

Lambert Mathias, Shaoliang Nie, Aida Mostafazadeh Davani, Douwe Kiela, Vinodkumar Prabhakaran

Abusive Language on Social Media Through the Legal Looking Glass

Thales Bertaglia, Andreea Grigoriu, Michel Dumontier, Gijs van Dijck

Targets and Aspects in Social Media Hate Speech

Alexander Shvets, Paula Fortuna, Juan Soler, Leo Wanner

When the Echo Chamber Shatters: Examining the Use of Community-Specific Language Post-Subreddit Ban

Milo Trujillo, Sam Rosenblatt, Guillermo de Anda Jáuregui, Emily Moog, Briane Paul V. Samson

Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified Format

Julian Risch, Philipp Schmidt, Ralf Krestel

A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection

Semiu Salawu, Jo Lumsden, Yulan He

Context Sensitivity Estimation in Toxicity Detection

Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos

Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse

Ravsimar Sodhi, Kartikey Pant, Radhika Mamidi

Fine-grained Classification of Political Bias in German News: A Data Set and Initial Experiments

Dmitrii Aksenov, Peter Bourgonje, Karolina Zaczynska, Malte Ostendorff, Julian Moreno-Schneider

Mitigating Biases in Toxic Language Detection through Invariant Rationalization

Yung-Sung Chuang, Mingye Gao, Hongyin Luo, James Glass, Hung-yi Lee

Hell Hath No Fury? Correcting Bias in the NRC Emotion Lexicon

Samira Zad, Joshuan Jimenez, Mark Finlayson

Improving Counterfactual Generation for Fair Hate Speech Detection

Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy, Mohammad Atari, Xiang Ren

Fine-Grained Fairness Analysis of Abusive Language Detection Systems with CheckList

Marta Marchiori Manerba, Sara Tonelli

MIN_PT: An European Portuguese Lexicon for Minorities Related Terms

Paula Fortuna, Vanessa Cortez, Miguel Sozinho Ramalho, Laura Pérez-Mayos

Offensive Language Detection in Nepali Social Media

Nobal B. Niraula, Saurab Dulal, Diwa Koirala

DALC: the Dutch Abusive Language Corpus

Tommaso Caselli, Arjan Schelhaas, Marieke Weultjes, Folkert Leistra, Hylke van der Veen

Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation

Ian Kivlichan, Zi Lin, Jeremiah Liu, Lucy Vasserman

Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset

Hannah Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li

HateBERT: Retraining BERT for Abusive Language Detection in English

Tommaso Caselli, Valerio Basile, Jelena Mitrović, Michael Granitzer

Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces

Vanessa Hahn, Dana Ruiter, Thomas Kleinbauer, Dietrich Klakow

Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers

Sumer Singh, Sheng Li

ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task

Pavanpankaj Vegi, Sivabhavani J, Biswajit Paul, Chitra Viswanathan, Prasanna Kumar K R

IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary

Ramakrishna Appicharla, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya

Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT

Shivam Mhaskar, Aditya Jain, Aakash Banerjee, Pushpak Bhattacharyya

Samsung R&D Institute Poland submission to WAT 2021 Indic Language Multilingual Task

Adam Dobrowolski, Marcin Szymański, Marcin Chochowski, Paweł Przybysz

Jyotsana Khatri, Nikhil Saini, Pushpak Bhattacharyya

IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages

Sourav Kumar, Salil Aggarwal, Dipti Sharma

How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task

Rahul Aralikatte, Héctor Ricardo Murrieta Bello, Miryam de Lhoneux, Daniel Hershcovich, Marcel Bollmann

NICT-5’s Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages

Raj Dabre, Abhisek Chakrabarty

Itihasa: A large-scale corpus for Sanskrit to English translation

Rahul Aralikatte, Miryam de Lhoneux, Anoop Kunchukuttan, Anders Søgaard

Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages

Prajit Dhar, Arianna Bisazza, Gertjan van Noord

TMEKU System for the WAT2021 Multimodal Translation Task

Yuting Zhao, Mamoru Komachi, Tomoyuki Kajiwara, Chenhui Chu

ViTA: Visual-Linguistic Translation by Aligning Object Tags

Kshitij Gupta, Devansh Gautam, Radhika Mamidi

IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task

Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal

Improved English to Hindi Multimodal Neural Machine Translation

Sahinur Rahman Laskar, Abdullah Faiz Ur Rahman Khilji, Darsh Kaushik, Partha Pakray, Sivaji Bandyopadhyay

NLPHut’s Participation at WAT2021

Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Ratna Dash, Satya Ranjan Dash

Bering Lab’s Submissions on WAT 2021 Shared Task

Heesoo Park, Dongjun Lee

System Description for Transperfect

Wiktor Stribiżew, Fred Bane, José Conceição, Anna Zaretskaya

TMU NMT System with Japanese BART for the Patent task of WAT 2021

Hwichan Kim, Mamoru Komachi

Evaluation Scheme of Focal Translation for Japanese Partially Amended Statutes

Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama

Zero-pronoun Data Augmentation for Japanese-to-English Translation

Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka

BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text

Chanjun Park, Jaehyung Seo, Seolhwa Lee, Chanhee Lee, Hyeonseok Moon

Rakuten’s Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation

Raymond Hendy Susanto, Dongzhe Wang, Sunil Yadav, Mausam Jain, Ohnmar Htun

NICT-2 Translation System at WAT-2021: Applying a Pretrained Multilingual Encoder-Decoder Model to Low-resource Language Pairs

Kenji Imamura, Eiichiro Sumita

Hybrid Statistical Machine Translation for English-Myanmar: UTYCC Submission to WAT-2021

Ye Kyaw Thu, Thazin Myint Oo, Hlaing Myat Nwe, Khaing Zar Mon, Nang Aeindray Kyaw

NECTEC’s Participation in WAT-2021

Zar Zar Hlaing, Ye Kyaw Thu, Thazin Myint Oo, Mya Ei San, Sasiporn Usanavasin

Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model

Seiichiro Kondo, Aomi Koyama, Tomoshige Kiyuna, Tosho Hirasawa, Mamoru Komachi

NICT’s Neural Machine Translation Systems for the WAT21 Restricted Translation Task

Zuchao Li, Masao Utiyama, Eiichiro Sumita, Hai Zhao

Input Augmentation Improves Constrained Beam Search for Neural Machine Translation: NTT at WAT 2021

Katsuki Chousa, Makoto Morishita

NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021

Hideya Mino, Kazutaka Kinugawa, Hitoshi Ito, Isao Goto, Ichiro Yamada

Overview of the 8th Workshop on Asian Translation

Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Shohei Higashiyama

TTCB System Description to a Shared Task on Implicit and Underspecified Language 2021

Peratham Wiriyathammabhum

A Mention-Based System for Revision Requirements Detection

Ahmed Ruby, Christian Hardmeier, Sara Stymne

Human-Model Divergence in the Handling of Vagueness

Elias Stengel-Eskin, Jimena Guallar-Blasco, Benjamin Van Durme

Improvements and Extensions on Metaphor Detection

Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi

UnImplicit Shared Task Report: Detecting Clarification Requirements in Instructional Text

Michael Roth, Talita Anthonio

Evaluation Guidelines to Deal with Implicit Phenomena to Assess Factuality in Data-to-Text Generation

Roy Eisenstadt, Michael Elhadad

Implicit Phenomena in Short-answer Scoring Data

Marie Bexte, Andrea Horbach, Torsten Zesch

Let’s be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction

Murathan Kurfalı, Robert Östling

Adversarial Training for Machine Reading Comprehension with Virtual Embeddings

Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu

Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages

Ali Hakimi Parizi, Paul Cook

Denoising Word Embeddings by Averaging in a Shared Space

Avi Caciularu, Ido Dagan, Jacob Goldberger

Overcoming Poor Word Embeddings with Word Definitions

Christopher Malon

Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships

Xiaotao Li, Shujuan You, Yawen Niu, Wai Chen

Spurious Correlations in Cross-Topic Argument Mining

Terne Sasha Thorn Jakobsen, Maria Barrett, Anders Søgaard

Compound or Term Features? Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains

Anna Hätty, Julia Bettinger, Michael Dorna, Jonas Kuhn, Sabine Schulte im Walde

Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model

Dominik Schlechtweg, Enrique Castaneda, Jonas Kuhn, Sabine Schulte im Walde

Inducing Language-Agnostic Multilingual Representations

Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein

Neural Metaphor Detection with Visibility Embeddings

Gitit Kehat, James Pustejovsky

Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing

Yuki Yamamoto, Yuji Matsumoto, Taro Watanabe

Incorporating EDS Graph for AMR Parsing

Ziyi Shou, Fangzhen Lin

Script Parsing with Hierarchical Sequence Modelling

Fangzhou Zhai, Iza Škrjanec, Alexander Koller

Multilingual Neural Semantic Parsing for Low-Resourced Languages

Menglin Xia, Emilio Monti

One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets

Marco Damonte, Emilio Monti

Toward Diverse Precondition Generation

Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian

Disentangling Online Chats with DAG-structured LSTMs

Duccio Pappadopulo, Lisa Bauer, Marco Farina, Ozan Irsoy, Mohit Bansal

Realistic Evaluation Principles for Cross-document Coreference Resolution

Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan

InFillmore: Frame-Guided Language Generation with Bidirectional Context

Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme

Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis

Sagar Indurkhya, Beracah Yankama, Robert C. Berwick

BiQuAD: Towards QA based on deeper text understanding

Frank Grimm, Philipp Cimiano

ParsFEVER: a Dataset for Farsi Fact Extraction and Verification

Majid Zarharan, Mahsa Ghaderan, Amin Pourdabiri, Zahra Sayedi, Behrouz Minaei-Bidgoli

Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference

Ohad Rozen, Shmuel Amar, Vered Shwartz, Ido Dagan

NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning

Zeming Chen, Qiyue Gao, Lawrence S. Moss

Generating Hypothetical Events for Abductive Inference

Debjit Paul, Anette Frank

Recovering Lexically and Semantically Reused Texts

Ansel MacLaughlin, Shaobin Xu, David A. Smith

A Study on Using Semantic Word Associations to Predict the Success of a Novel

Syeda Jannatus Saba, Biddut Sarker Bijoy, Henry Gorelick, Sabir Ismail, Md Saiful Islam

Semantic shift in social networks

Bill Noble, Asad Sayeed, Raquel Fernández, Staffan Larsson

Can Transformer Language Models Predict Psychometric Properties?

Antonio Laverghetta Jr., Animesh Nighojkar, Jamshidbek Mirzakhalov, John Licato

Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge

Paolo Pedinotti, Giulia Rambelli, Emmanuele Chersoni, Enrico Santus, Alessandro Lenci

Comparing Span Extraction Methods for Semantic Role Labeling

Zhisong Zhang, Emma Strubell, Eduard Hovy

A Globally Normalized Neural Model for Semantic Parsing

Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaïane, Lili Mou

Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification

Erenay Dayanik, Andre Blessing, Nico Blokker, Sebastian Haunss, Jonas Kuhn

Mode recovery in neural autoregressive sequence modeling

Ilia Kulikov, Sean Welleck, Kyunghyun Cho

Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks

Julia Kreutzer, Stefan Riezler, Carolin Lawrence

Learning compositional structures for semantic graph parsing

Jonas Groschwitz, Meaghan Fowlie, Alexander Koller

SmBoP: Semi-autoregressive Bottom-up Semantic Parsing

Ohad Rubin, Jonathan Berant

RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation

Jacob Parnell, Inigo Jauregi Unanue, Massimo Piccardi