COLING 2020

1,035 papers

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking

Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wang, Philip Yu

A Visuospatial Dataset for Naturalistic Verb Learning

Dylan Ebert, Ellie Pavlick

Learning Negation Scope from Syntactic Structure

Nick McKenna, Mark Steedman

PISA: A measure of Preference In Selection of Arguments to model verb argument recoverability

Giulia Cappelli, Alessandro Lenci

Fine-tuning BERT with Focus Words for Explanation Regeneration

Isaiah Onando Mulang’, Jennifer D’Souza, Sören Auer

Assessing Polyseme Sense Similarity through Co-predication Acceptability and Contextualised Embedding Distance

Janosch Haber, Massimo Poesio

Topology of Word Embeddings: Singularities Reflect Polysemy

Alexander Jakubowski, Milica Gasic, Marcus Zibrowius

On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT

Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, Adam Trischler, Jackie Chi Kit CHEUNG

Natural Language Inference with Mixed Effects

William Gantt, Benjamin Kane, Aaron Steven White

Knowledge Graphs meet Moral Values

Ioana Hulpuș, Jonathan Kobbe, Heiner Stuckenschmidt, Graeme Hirst

Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection

Laura Ana Maria Oberländer, Roman Klinger

Semantic Structural Decomposition for Neural Machine Translation

Elior Sulem, Omri Abend, Ari Rappoport

Joint Training for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora

Ali Hakimi Parizi, Paul Cook

Automatic Learning of Modality Exclusivity Norms with Crosslingual Word Embeddings

Emmanuele Chersoni, Rong Xiang, Qin Lu, Chu-Ren Huang

Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language Inference

Lasha Abzianidze

Reading Comprehension as Natural Language Inference:A Semantic Analysis

Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Lorraine Li, Pavan Kapanipathi

Improving Medical NLI Using Context-Aware Domain Knowledge

Shaika Chowdhury, Philip Yu, Yuan Luo

CLaC at SMM4H 2020: Birth Defect Mention Detection

Parsa Bagherzadeh, Sabine Bergler

Sentence Contextual Encoder with BERT and BiLSTM for Automatic Classification with Imbalanced Medication Tweets

Olanrewaju Tahir Aduragba, Jialin Yu, Gautham Senthilnathan, Alexandra Crsitea

Sentence Transformers and Bayesian Optimization for Adverse Drug Effect Detection from Twitter

Oguzhan Gencoglu

NLP@VCU: Identifying Adverse Effects in English Tweets for Unbalanced Data

Darshini Mahendran, Cora Lewis, Bridget McInnes

Approaching SMM4H 2020 with Ensembles of BERT Flavours

George-Andrei Dima, Andrei-Marius Avram, Dumitru-Clementin Cercel

Automatic Classification of Tweets Mentioning a Medication Using Pre-trained Sentence Encoders

Laiba Mehnaz

HITSZ-ICRC: A Report for SMM4H Shared Task 2020-Automatic Classification of Medications and Adverse Effect in Tweets

Xiaoyu Zhao, Ying Xiong, Buzhou Tang

Sentence Classification with Imbalanced Data for Health Applications

Farhana Ferdousi Liza

LITL at SMM4H: An Old-school Feature-based Classifier for Identifying Adverse Effects in Tweets

Ludovic Tanguy, Lydia-Mai Ho-Dac, Cécile Fabre, Roxane Bois, Touati Mohamed Yacine Haddad

Medication Mention Detection in Tweets Using ELECTRA Transformers and Decision Trees

Lung-Hao Lee, Po-Han Chen, Hao-Chuan Kao, Ting-Chun Hung, Po-Lei Lee

Identification of Medication Tweets Using Domain-specific Pre-trained Language Models

Yandrapati Prakash Babu, Rajagopal Eswari

Detecting Tweets Reporting Birth Defect Pregnancy Outcome Using Two-View CNN RNN Based Architecture

Saichethan Reddy

Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa

Katikapalli Subramanyam Kalyan, Sivanesan Sangeetha

SpeechTrans@SMM4H’20: Impact of Preprocessing and N-grams on Automatic Classification of Tweets That Mention Medications

Mohamed Lichouri, Mourad Abbas

Adverse Drug Reaction Detection in Twitter Using RoBERTa and Rules

Sedigh Khademi, Pari Delirhaghighi, Frada Burstein

Transformer Models for Drug Adverse Effects Detection from Tweets

Pavel Blinov, Manvel Avetisian

Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines

Sougata Saha, Souvik Das, Prashi Khurana, Rohini Srihari

FBK@SMM4H2020: RoBERTa for Detecting Medications on Twitter

Silvia Casola, Alberto Lavelli

How Far Can We Go with Just Out-of-the-box BERT Models?

Lucie Gattepaille

Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020

V.G.Vinod Vydiswaran, Deahan Yu, Xinyan Zhao, Ermioni Carr, Jonathan Martindale

Towards Preemptive Detection of Depression and Anxiety in Twitter

David Owen, Jose Camacho-Collados, Luis Espinosa Anke

Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum

Luis Moßburger, Felix Wende, Kay Brinkmann, Thomas Schmidt

Automatic Detecting for Health-related Twitter Data with BioBERT

Yang Bai, Xiaobing Zhou

SMM4H Shared Task 2020 - A Hybrid Pipeline for Identifying Prescription Drug Abuse from Twitter: Machine Learning, Deep Learning, and Post-Processing

Isabel Metzger, Emir Y. Haskovic, Allison Black, Whitley M. Yi, Rajat S. Chandra

KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug Reactions

Zulfat Miftahutdinov, Andrey Sakhovskiy, Elena Tutubalina

BERT Implementation for Detecting Adverse Drug Effects Mentions in Russian

Andrey Gusev, Anna Kuznetsova, Anna Polyanskaya, Egor Yatsishin

ISLab System for SMM4H Shared Task 2020

Chen-Kai Wang, Hong-Jie Dai, You-Chen Zhang, Bo-Chun Xu, Bo-Hong Wang

Ensemble BERT for Classifying Medication-mentioning Tweets

Huong Dang, Kahyun Lee, Sam Henry, Ozlem Uzuner

Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020

Ari Klein, Ilseyar Alimova, Ivan Flores, Arjun Magge, Zulfat Miftahutdinov

Annotating Patient Information Needs in Online Diabetes Forums

Julia Romberg, Jan Dyczmons, Sandra Olivia Borgmann, Jana Sommer, Markus Vomhof

Conversation-Aware Filtering of Online Patient Forum Messages

Anne Dirkson, Suzan Verberne, Wessel Kraaij

COVID-19 Twitter Monitor: Aggregating and Visualizing COVID-19 Related Trends in Social Media

Joseph Cornelius, Tilia Ellendorff, Lenz Furrer, Fabio Rinaldi

Fake or Real? A Study of Arabic Satirical Fake News

Hadeel Saadany, Constantin Orasan, Emad Mohamed

Automatic Detection of Hungarian Clickbait and Entertaining Fake News

Veronika Vincze, Martina Katalin Szabó

Fake news detection for the Russian language

Gleb Kuzmin, Daniil Larionov, Dina Pisarevskaya, Ivan Smirnov

Revisiting Rumour Stance Classification: Dealing with Imbalanced Data

Yue Li, Carolina Scarton

Covid or not Covid? Topic Shift in Information Cascades on Twitter

Liana Ermakova, Diana Nurbakova, Irina Ovchinnikova

A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN

Yu Qiao, Daniel Wiechmann, Elma Kerz

Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages

Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova

The LiLaH Emotion Lexicon of Croatian, Dutch and Slovene

Nikola Ljubešić, Ilia Markov, Darja Fišer, Walter Daelemans

Cross-lingual Emotion Intensity Prediction

Irean Navas Alejo, Toni Badia, Jeremy Barnes

Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations

Sven Buechel, João Sedoc, H. Andrew Schwartz, Lyle Ungar

Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?

Laura Ana Maria Oberländer, Kevin Reich, Roman Klinger

Multilingual Emoticon Prediction of Tweets about COVID-19

Stefanos Stoikos, Mike Izbicki

Sentiments in Russian Medical Professional Discourse during the Covid-19 Pandemic

Irina Ovchinnikova, Liana Ermakova, Diana Nurbakova

Topic and Emotion Development among Dutch COVID-19 Twitter Communities in the early Pandemic

Boris Marinov, Jennifer Spenader, Tommaso Caselli

Social Media Unrest Prediction during the COVID-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises

Dirk Johannßen, Chris Biemann

Contextual Augmentation of Pretrained Language Models for Emotion Recognition in Conversations

Jonggu Kim, Hyeonmok Ko, Seoha Song, Saebom Jang, Jiyeon Hong

KanCMD: Kannada CodeMixed Dataset for Sentiment Analysis and Offensive Language Detection

Adeep Hande, Ruba Priyadharshini, Bharathi Raja Chakravarthi

HopeEDI: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and Inclusion

Bharathi Raja Chakravarthi

Persuasiveness of News Editorials depending on Ideology and Personality

Roxanne El Baff, Khalid Al Khatib, Benno Stein, Henning Wachsmuth

Red Is Open-Minded, Blue Is Conscientious: Predicting User Traits From Instagram Image Data

Lisa Branz, Patricia Brockmann, Annika Hinze

Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality

Elisa Bassignana, Malvina Nissim, Viviana Patti

Inferring Neuroticism of Twitter Users by Utilizing their Following Interests

Joran Cornelisse

A Risk Communication Event Detection Model via Contrastive Learning

Mingi Shin, Sungwon Han, Sungkyu Park, Meeyoung Cha

A Multi-Modal Method for Satire Detection using Textual and Visual Cues

Lily Li, Or Levi, Pedram Hosseini, David Broniatowski

Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection

Anushka Prakash, Harish Tayyar Madabushi

Measuring Alignment to Authoritarian State Media as Framing Bias

Timothy Niven, Hung-Yu Kao

Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking

Rutvik Vijjali, Prathyush Potluri, Siddharth Kumar, Sundeep Teki

Show, Don’t Tell: Visualising Finnish Word Formation in a Browser-Based Reading Assistant

Frankie Robertson

Polygloss - A conversational agent for language practice

Etiene da Cruz Dalcol, Massimo Poesio

The Teacher-Student Chatroom Corpus

Andrew Caines, Helen Yannakoudakis, Helena Edmondson, Helen Allen, Pascual Pérez-Paredes

Substituto – A Synchronous Educational Language Game for Simultaneous Teaching and Crowdsourcing

Marianne Grace Araneta, Gülşen Eryiǧit, Alexander König, Ji-Ung Lee, Ana Luís

MultiVitaminBooster at PARSEME Shared Task 2020: Combining Window- and Dependency-Based Features with Multilingual Contextualised Word Embeddings for VMWE Detection

Sebastian Gombert, Sabine Bartsch

MTLB-STRUCT @Parseme 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models

Shiva Taslimipoor, Sara Bahaadini, Ekaterina Kochmar

TRAVIS at PARSEME Shared Task 2020: How good is (m)BERT at seeing the unseen?

Murathan Kurfalı

ERMI at PARSEME Shared Task 2020: Embedding-Rich Multiword Expression Identification

Zeynep Yirmibeşoğlu, Tunga Güngör

Seen2Unseen at PARSEME Shared Task 2020: All Roads do not Lead to Unseen Verb-Noun VMWEs

Caroline Pasquer, Agata Savary, Carlos Ramisch, Jean-Yves Antoine

HMSid and HMSid2 at PARSEME Shared Task 2020: Computational Corpus Linguistics and unseen-in-training MWEs

Jean-Pierre Colson

Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions

Carlos Ramisch, Agata Savary, Bruno Guillaume, Jakub Waszczuk, Marie Candito

Automatic detection of unexpected/erroneous collocations in learner corpus

Jen-Yu Li, Thomas Gaillat

Comparing word2vec and GloVe for Automatic Measurement of MWE Compositionality

Thomas Pickard

Disambiguation of Potentially Idiomatic Expressions with Contextual Embeddings

Murathan Kurfalı, Robert Östling

Multi-word Expressions for Abusive Speech Detection in Serbian

Ranka Stanković, Jelena Mitrović, Danka Jokić, Cvetana Krstev

Invited Talk: Generationary or: “How We Went beyond Sense Inventories and Learned to Gloss”

Roberto Navigli

VMWE discovery: a comparative analysis between Literature and Twitter Corpora

Vivian Stamou, Artemis Xylogianni, Marilena Malli, Penny Takorou, Stella Markantonatou

Annotating Verbal MWEs in Irish for the PARSEME Shared Task 1.2

Abigail Walsh, Teresa Lynn, Jennifer Foster

AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations

Lifeng Han, Gareth Jones, Alan Smeaton

Polish corpus of verbal multiword expressions

Agata Savary, Jakub Waszczuk

Scalar vs. mereological conceptualizations of the N-BY-N and NUM-BY-NUM adverbials

Lucia Vlášková, Mojmír Dočekal

Hierarchy-aware Learning of Sequential Tool Usage via Semi-automatically Constructed Taxonomies

Nima Nabizadeh, Martin Heckmann, Dorothea Kolossa

Filling the ___-s in Finnish MWE lexicons

Frankie Robertson

CollFrEn: Rich Bilingual English–French Collocation Resource

Beatriz Fisas, Luis Espinosa Anke, Joan Codina-Filbà, Leo Wanner