COLING 2022

931 papers

Analyzing the Real Vulnerability of Hate Speech Detection Systems against Targeted Intentional Noise

Piush Aggarwal, Torsten Zesch

True or False? Detecting False Information on Social Media Using Graph Neural Networks

Samyo Rode-Hasinger, Anna Kruspe, Xiao Xiang Zhu

Towards better structured and less noisy Web data: Oscar with Register annotations

Veronika Laippala, Anna Salmela, Samuel Rönnqvist, Alham Fikri Aji, Li-Hsin Chang

A multi-level approach for hierarchical Ticket Classification

Matteo Marcuzzo, Alessandro Zangari, Michele Schiavinato, Lorenzo Giudice, Andrea Gasparetto

Disfluency Detection for Vietnamese

Mai Hoang Dao, Thinh Hung Truong, Dat Quoc Nguyen

Increasing Robustness for Cross-domain Dialogue Act Classification on Social Media Data

Marcus Vielsted, Nikolaj Wallenius, Rob van der Goot

AdBERT: An Effective Few Shot Learning Framework for Aligning Tweets to Superbowl Advertisements

Debarati Das, Roopana Chenchu, Maral Abdollahi, Jisu Huh, Jaideep Srivastava

Span Extraction Aided Improved Code-mixed Sentiment Classification

Ramaneswaran S, Sean Benhur, Sreyan Ghosh

“Kanglish alli names!” Named Entity Recognition for Kannada-English Code-Mixed Social Media Data

Sumukh S, Manish Shrivastava

Automatic Extraction of Structured Mineral Drillhole Results from Unstructured Mining Company Reports

Adam Dimeski, Afshin Rahimi

Automatic Identification of 5C Vaccine Behaviour on Social Media

Ajay Hemanth Sampath Kumar, Aminath Shausan, Gianluca Demartini, Afshin Rahimi

ArabGend: Gender Analysis and Inference on Arabic Twitter

Hamdy Mubarak, Shammur Absar Chowdhury, Firoj Alam

Supervised and Unsupervised Evaluation of Synthetic Code-Switching

Evgeny Orlov, Ekaterina Artemova

An Emotional Journey: Detecting Emotion Trajectories in Dutch Customer Service Dialogues

Sofie Labat, Amir Hadifar, Thomas Demeester, Véronique Hoste

Leveraging Semantic and Sentiment Knowledge for User-Generated Text Sentiment Classification

Jawad Khan, Niaz Ahmad, Aftab Alam, Youngmoon Lee

An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts

Xue-yong Fu, Cheng Chen, Md Tahmid Rahman Laskar, Shashi Bhushan Tn, Simon Corston-Oliver

TransPOS: Transformers for Consolidating Different POS Tagset Datasets

Alex Li, Ilyas Bankole-Hameed, Ranadeep Singh, Gabriel Ng, Akshat Gupta

Robust Candidate Generation for Entity Linking on Short Social Media Texts

Liam Hebert, Raheleh Makki, Shubhanshu Mishra, Hamidreza Saghir, Anusha Kamath

NTULM: Enriching Social Media Text Representations with Non-Textual Units

Jinning Li, Shubhanshu Mishra, Ahmed El-Kishky, Sneha Mehta, Vivek Kulkarni

Exploring Multimodal Features and Fusion Strategies for Analyzing Disaster Tweets

Raj Pranesh

Impact of Environmental Noise on Alzheimer’s Disease Detection from Speech: Should You Let a Baby Cry?

Jekaterina Novikova

Cross-Dialect Social Media Dependency Parsing for Social Scientific Entity Attribute Analysis

Chloe Eggleston, Brendan O’Connor

Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data

Malikeh Ehghaghi, Frank Rudzicz, Jekaterina Novikova

Extracting Mathematical Concepts from Text

Jacob Collard, Valeria de Paiva, Brendan Fong, Eswaran Subrahmanian

Changes in Tweet Geolocation over Time: A Study with Carmen 2.0

Jingyu Zhang, Alexandra DeLucia, Mark Dredze

Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation

Sahinur Rahman Laskar, Rahul Singh, Md Faizal Karim, Riyanka Manna, Partha Pakray

English to Bengali Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation

Sahinur Rahman Laskar, Pankaj Dadure, Riyanka Manna, Partha Pakray, Sivaji Bandyopadhyay

PICT@WAT 2022: Neural Machine Translation Systems for Indic Languages

Anupam Patil, Isha Joshi, Dipali Kadam

Silo NLP’s Participation at WAT2022

Shantipriya Parida, Subhadarshi Panda, Stig-Arne Grönroos, Mark Granroth-Wilding, Mika Koistinen

Multimodal Neural Machine Translation with Search Engine Based Image Retrieval

ZhenHao Tang, Xiaobing Zhang, Zi Long, Xianghua Fu

Does partial pretranslation can improve low ressourced-languages pairs?

Raoul Blin

Investigation of Multilingual Neural Machine Translation for Indian Languages

Sahinur Rahman Laskar, Riyanka Manna, Partha Pakray, Sivaji Bandyopadhyay

NIT Rourkela Machine Translation(MT) System Submission to WAT 2022 for MultiIndicMT: An Indic Language Multilingual Shared Task

Sudhansu Bala Das, Atharv Biradar, Tapas Kumar Mishra, Bidyut Kumar Patra

Rakuten’s Participation in WAT 2022: Parallel Dataset Filtering by Leveraging Vocabulary Heterogeneity

Alberto Poncelas, Johanes Effendi, Ohnmar Htun, Sunil Yadav, Dongzhe Wang

NICT’s Submission to the WAT 2022 Structured Document Translation Task

Raj Dabre

HwTscSU’s Submissions on WAT 2022 Shared Task

Yilun Liu, Zhen Zhang, Shimin Tao, Junhui Li, Hao Yang

TMU NMT System with Automatic Post-Editing by Multi-Source Levenshtein Transformer for the Restricted Translation Task of WAT 2022

Seiichiro Kondo, Mamoru Komachi

Improving Jejueo-Korean Translation With Cross-Lingual Pretraining Using Japanese and Korean

Francis Zheng, Edison Marrese-Taylor, Yutaka Matsuo

Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation

Yuki Nakatani, Tomoyuki Kajiwara, Takashi Ninomiya

Overview of the 9th Workshop on Asian Translation

Toshiaki Nakazawa, Hideya Mino, Isao Goto, Raj Dabre, Shohei Higashiyama

Italian Language and Dialect Identification and Regional French Variety Detection using Adaptive Naive Bayes

Tommi Jauhiainen, Heidi Jauhiainen, Krister Lindén

Transfer Learning Improves French Cross-Domain Dialect Identification: NRC @ VarDial 2022

Gabriel Bernier-Colborne, Serge Leger, Cyril Goutte

Neural Networks for Cross-domain Language Identification. Phlyers @Vardial 2022

Andrea Ceolin

The Curious Case of Logistic Regression for Italian Languages and Dialects Identification

Giacomo Camposampiero, Quynh Anh Nguyen, Francesco Di Stefano

Is Encoder-Decoder Transformer the Shiny Hammer?

Nat Gillin

OcWikiDisc: a Corpus of Wikipedia Talk Pages in Occitan

Aleksandra Miletic, Yves Scherrer

Annotating Norwegian language varieties on Twitter for Part-of-speech

Petter Mæhlum, Andre Kåsen, Samia Touileb, Jeremy Barnes

Mapping Phonology to Semantics: A Computational Model of Cross-Lingual Spoken-Word Recognition

Iuliia Zaitova, Badr Abdullah, Dietrich Klakow

Phonetic, Semantic, and Articulatory Features in Assamese-Bengali Cognate Detection

Abhijnan Nath, Rahul Ghosh, Nikhil Krishnaswamy

Low-Resource Neural Machine Translation: A Case Study of Cantonese

Evelyn Kai-Yan Liu

dialectR: Doing Dialectometry in R

Ryan Soh-Eun Shim, John Nerbonne

Social Context and User Profiles of Linguistic Variation on a Micro Scale

Olga Kellert, Nicholas Hill Matlis

Findings of the VarDial Evaluation Campaign 2022

Noëmi Aepli, Antonios Anastasopoulos, Adrian-Gabriel Chifu, William Domingues, Fahim Faisal

Investigating the Impact of ASR Errors on Spoken Implicit Discourse Relation Recognition

Linh The Nguyen, Dat Quoc Nguyen

BehanceMT: A Machine Translation Corpus for Livestreaming Video Transcripts

Minh Van Nguyen, Franck Dernoncourt, Thien Nguyen

Model Transfer for Event tracking as Transcript Understanding for Videos of Small Group Interaction

Sumit Agarwal, Rosanna Vitiello, Carolyn Rose

Knowledge Transfer with Visual Prompt in multi-modal Dialogue Understanding and Generation

Minjun Zhu, Yixuan Weng, Bin Li, Shizhu He, Kang Liu

Leveraging Non-dialogue Summaries for Dialogue Summarization

Seongmin Park, Dongchan Shin, Jihwa Lee

Hypothesis Engineering for Zero-Shot Hate Speech Detection

Janis Goldzycher, Gerold Schneider

Detection of Negative Campaign in Israeli Municipal Elections

Marina Litvak, Natalia Vanetik, Sagiv Talker, Or Machlouf

A Lightweight Yet Robust Approach to Textual Anomaly Detection

Leslie Barrett, Robert Kingan, Alexandra Ortan, Madhavan Seshadri

Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning

Hannah Kirk, Bertie Vidgen, Scott A. Hale

Annotating Targets of Toxic Language at the Span Level

Baran Barbarestani, Isa Maks, Piek Vossen

The Role of Context in Detecting the Target of Hate Speech

Ilia Markov, Walter Daelemans

Bias, Threat and Aggression Identification Using Machine Learning Techniques on Multilingual Comments

Kirti Kumari, Shaury Srivastav, Rajiv Ranjan Suman

Can Attention-based Transformers Explain or Interpret Cyberbullying Detection?

Kanishk Verma, Tijana Milosevic, Brian Davis

Which One Is More Toxic? Findings from Jigsaw Rate Severity of Toxic Comments

Millon Das, Punyajoy Saha, Mithun Das

L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT Models

Hrushikesh Patil, Abhishek Velankar, Raviraj Joshi

TextGraphs-16 Natural Language Premise Selection Task: Zero-Shot Premise Selection with Prompting Generative Language Models

Liubov Kovriguina, Roman Teucher, Robert Wardenga

Keyword-based Natural Language Premise Selection for an Automatic Mathematical Statement Proving

Doratossadat Dastgheib, Ehsaneddin Asgari

SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet

Paul Trust, Provia Kadusabe, Haseeb Younis, Rosane Minghim, Evangelos Milios

IJS at TextGraphs-16 Natural Language Premise Selection Task: Will Contextual Information Improve Natural Language Premise Selection?

Thi Hong Hanh Tran, Matej Martinc, Antoine Doucet, Senja Pollak

TextGraphs 2022 Shared Task on Natural Language Premise Selection

Marco Valentino, Deborah Ferreira, Mokanarangan Thayaparan, Andre Freitas, Dmitry Ustalov

Temporal Graph Analysis of Misinformation Spreaders in Social Media

Joan Plepi, Flora Sakketou, Henri-Jacques Geiss, Lucie Flek

RuDSI: Graph-based Word Sense Induction Dataset for Russian

Anna Aksenova, Ekaterina Gavrishina, Elisei Rykov, Andrey Kutuzov

Word Sense Disambiguation of French Lexicographical Examples Using Lexical Networks

Aman Sinha, Sandrine Ollinger, Mathieu Constant

Text-Aware Graph Embeddings for Donation Behavior Prediction

MeiXing Dong, Xueming Xu, Rada Mihalcea

The Effectiveness of Masked Language Modeling and Adapters for Factual Knowledge Injection

Sondre Wold

GUSUM: Graph-based Unsupervised Summarization Using Sentence Features Scoring and Sentence-BERT

Tuba Gokhan, Phillip Smith, Mark Lee

A Clique-based Graphical Approach to Detect Interpretable Adjectival Senses in Hungarian

Enikő Héja, Noémi Ligeti-Nagy

Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex Space

Xincan Feng, Zhi Qu, Yuchang Cheng, Taro Watanabe, Nobuhiro Yugami

Cross-Modal Contextualized Hidden State Projection Method for Expanding of Taxonomic Graphs

Irina Nikishina, Alsu Vakhitova, Elena Tutubalina, Alexander Panchenko

Multilevel Hypernode Graphs for Effective and Efficient Entity Linking

David Montero, Javier Martínez, Javier Yebes

Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022

Davy Weissenbacher, Juan Banda, Vera Davydova, Darryl Estrada Zavala, Luis Gasco Sánchez

SMM4H 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19

Vera Davydova, Elena Tutubalina

Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya

Leveraging Social Media as a Source for Clinical Guidelines: A Demarcation of Experiential Knowledge

Jia-Zhen Michelle Chan, Florian Kunneman, Roser Morante, Lea Lösch, Teun Zuiderent-Jerak

The Best of Both Worlds: Combining Engineered Features with Transformers for Improved Mental Health Prediction from Reddit Posts

Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz

Romanian micro-blogging named entity recognition including health-related entities

Vasile Pais, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Carol Luca Gasan

The SocialDisNER shared task on detection of disease mentions in health-relevant content from social media: methods, evaluation, guidelines and corpora

Luis Gasco Sánchez, Darryl Estrada Zavala, Eulàlia Farré-Maduell, Salvador Lima-López, Antonio Miranda-Escalada

CompLx@SMM4H’22: In-domain pretrained language models for detection of adverse drug reaction mentions in English tweets

Orest Xherija, Hojoon Choi

OFU@SMM4H’22: Mining Advent Drug Events Using Pretrained Language Models

Omar Adjali, Fréjus A. A. Laleye, Umang Aggarwal

CAISA@SMM4H’22: Robust Cross-Lingual Detection of Disease Mentions on Social Media with Adversarial Methods

Akbar Karimi, Lucie Flek

AIR-JPMC@SMM4H’22: BERT + Ensembling = Too Cool: Using Multiple BERT Models Together for Various COVID-19 Tweet Identification Tasks

Leung Wai Liu, Akshat Gupta, Saheed Obitayo, Xiaomo Liu, Sameena Shah

AIR-JPMC@SMM4H’22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling

Adrian Garcia Hernandez, Leung Wai Liu, Akshat Gupta, Vineeth Ravi, Saheed O. Obitayo

Enolp musk@SMM4H’22 : Leveraging Pre-trained Language Models for Stance And Premise Classification

Millon Das, Archit Mangrulkar, Ishan Manchanda, Manav Kapadnis, Sohan Patnaik

KUL@SMM4H’22: Template Augmented Adaptive Pre-training for Tweet Classification

Sumam Francis, Marie-Francine Moens

Edinburgh_UCL_Health@SMM4H’22: From Glove to Flair for handling imbalanced healthcare corpora related to Adverse Drug Events, Change in medication and self-reporting vaccination

Imane Guellil, Jinge Wu, Honghan Wu, Tony Sun, Beatrice Alex

CASIA@SMM4H’22: A Uniform Health Information Mining System for Multilingual Social Media Texts

Jia Fu, Sirui Li, Hui Ming Yuan, Zhucong Li, Zhen Gan

ARGUABLY@SMM4H’22: Classification of Health Related Tweets using Ensemble, Zero-Shot and Fine-Tuned Language Model

Prabsimran Kaur, Guneet Kohli, Jatin Bedi