Skip to content
conftrace_

COLING 2022

931 papers

AIR-JPMC@SMM4H’22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models

Alec Louis Candidato, Akshat Gupta, Xiaomo Liu, Sameena Shah

AILAB-Udine@SMM4H’22: Limits of Transformers and BERT Ensembles

Beatrice Portelli, Simone Scaboro, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra

Innovators@SMM4H’22: An Ensembles Approach for Stance and Premise Classification of COVID-19 Health Mandates Tweets

Vatsal Savaliya, Aakash Bhatnagar, Nidhir Bhavsar, Muskaan Singh

Innovators @ SMM4H’22: An Ensembles Approach for self-reporting of COVID-19 Vaccination Status Tweets

Mohammad Zohair, Nidhir Bhavsar, Aakash Bhatnagar, Muskaan Singh

CSECU-DSG@SMM4H’22: Transformer based Unified Approach for Classification of Changes in Medication Treatments in Tweets and WebMD Reviews

Afrin Sultana, Nihad Karim Chowdhury, Abu Nowshed Chy

UB Health Miners@SMM4H’22: Exploring Pre-processing Techniques To Classify Tweets Using Transformer Based Pipelines.

Roshan Khatri, Sougata Saha, Souvik Das, Rohini Srihari

Fraunhofer SIT@SMM4H’22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models

Raphael Frick, Martin Steinebach

Transformer-based classification of premise in tweets related to COVID-19

Vadim Porvatov, Natalia Semenova

Fraunhofer FKIE @ SMM4H 2022: System Description for Shared Tasks 2, 4 and 9

Daniel Claeser, Samantha Kent

Yet@SMM4H’22: Improved BERT-based classification models with Rdrop and PolyLoss

Yan Zhuang, Yanru Zhang

HaleLab_NITK@SMM4H’22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media Data

Reshma Unnikrishnan, Sowmya Kamath S, Ananthanarayana V. S.

UCCNLP@SMM4H’22:Label distribution aware long-tailed learning with post-hoc posterior calibration applied to text classification

Paul Trust, Provia Kadusabe, Ahmed Zahran, Rosane Minghim, Kizito Omala

IAI @ SocialDisNER : Catch me if you can! Capturing complex disease mentions in tweets

Aman Sinha, Cristina Garcia Holgado, Marianne Clausel, Matthieu Constant

CHAAI@SMM4H’22: RoBERTa, GPT-2 and Sampling - An interesting concoction

Christopher Palmer, Sedigheh Khademi Habibabadi, Muhammad Javed, Gerardo Luis Dimaguila, Jim Buttery

KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish

Antoine Lain, Wonjin Yoon, Hyunjae Kim, Jaewoo Kang, Ian Simpson

mattica@SMM4H’22: Leveraging sentiment for stance & premise joint learning

Oscar Lithgow-Serrano, Joseph Cornelius, Fabio Rinaldi, Ljiljana Dolamic

ITAINNOVA at SocialDisNER: A Transformers cocktail for disease identification in social media in Spanish

Rosa Montañés-Salas, Irene López-Bosque, Luis García-Garcés, Rafael del-Hoyo-Alonso

FRE at SocialDisNER: Joint Learning of Language Models for Named Entity Recognition

Kendrick Cetina, Nuria García-Santa

BioInfo@UAVR@SMM4H’22: Classification and Extraction of Adverse Event mentions in Tweets using Transformer Models

Edgar Morais, José Luís Oliveira, Alina Trifan, Olga Fajarda

NCUEE-NLP@SMM4H’22: Classification of Self-reported Chronic Stress on Twitter Using Ensemble Pre-trained Transformer Models

Tzu-Mi Lin, Chao-Yi Chen, Yu-Wen Tzeng, Lung-Hao Lee

CIC NLP at SMM4H 2022: a BERT-based approach for classification of social media forum posts

Atnafu Lambebo Tonja, Olumide Ebenezer Ojo, Mohammed Arif Khan, Abdul Gafar Manuel Meque, Olga Kolesnikova

CLaCLab at SocialDisNER: Using Medical Gazetteers for Named-Entity Recognition of Disease Mentions in Spanish Tweets

Harsh Verma, Parsa Bagherzadeh, Sabine Bergler

PLN CMM at SocialDisNER: Improving Detection of Disease Mentions in Tweets by Using Document-Level Features

Matías Rojas, Jose Barros, Kinan Martin, Mauricio Araneda-Hernandez, Jocelyn Dunstan

READ-BioMed@SocialDisNER: Adaptation of an Annotation System to Spanish Tweets

Antonio Jimeno Yepes, Karin Verspoor

John_Snow_Labs@SMM4H’22: Social Media Mining for Health (#SMM4H) with Spark NLP

Veysel Kocaman, Cabir Celik, Damla Gurbaz, Gursev Pirge, Bunyamin Polat

MaNLP@SMM4H’22: BERT for Classification of Twitter Posts

Keshav Kapur, Rajitha Harikrishnan, Sanjay Singh

Zhegu@SMM4H-2022: The Pre-training Tweet & Claim Matching Makes Your Prediction Better

Pan He, Chen YuZe, Yanru Zhang

uestcc@SMM4H’22: RoBERTa based Adverse Drug Events Classification on Tweets

Chunchen Wei, Ran Bi, Yanru Zhang

BOUN-TABI@SMM4H’22: Text-to-Text Adverse Drug Event Extraction with Data Balancing and Prompting

Gökçe Uludoğan, Zeynep Yirmibeşoğlu

SINAI@SMM4H’22: Transformers for biomedical social media text mining in Spanish

Mariia Chizhikova, Pilar López-Úbeda, Manuel C. Díaz-Galiano, L. Alfonso Ureña-López, M. Teresa Martín-Valdivia

yiriyou@SMM4H’22: Stance and Premise Classification in Domain Specific Tweets with Dual-View Attention Neural Networks

Huabin Yang, Zhongjian Zhang, Yanru Zhang

NLP-CIC-WFU at SocialDisNER: Disease Mention Extraction in Spanish Tweets Using Transfer Learning and Search by Propagation

Antonio Tamayo, Alexander Gelbukh, Diego Burgos

MANTIS at SMM4H’2022: Pre-Trained Language Models Meet a Suite of Psycholinguistic Features for the Detection of Self-Reported Chronic Stress

Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz

zydhjh4593@SMM4H’22: A Generic Pre-trained BERT-based Framework for Social Media Health Text Classification

Chenghao Huang, Xiaolu Chen, Yuxi Chen, Yutong Wu, Weimin Yuan

dezzai@SMM4H’22: Tasks 5 & 10 - Hybrid models everywhere

Miguel Ortega-Martín, Alfonso Ardoiz, Oscar Garcia, Jorge Álvarez, Adrián Alonso

PingAnTech at SMM4H task1: Multiple pre-trained model approaches for Adverse Drug Reactions

Xi Liu, Han Zhou, Chang Su

RACAI@SMM4H’22: Tweets Disease Mention Detection Using a Neural Lateral Inhibitory Mechanism

Andrei-Marius Avram, Vasile Pais, Maria Mitrofan

Team AINLPML @ MuP in SDP 2021: Scientific Document Summarization by End-to-End Extractive and Abstractive Approach

Sandeep Kumar, Guneet Singh Kohli, Kartik Shinde, Asif Ekbal

LTRC @MuP 2022: Multi-Perspective Scientific Document Summarization Using Pre-trained Generation Models

Ashok Urlana, Nirmal Surange, Manish Shrivastava

GUIR @ MuP 2022: Towards Generating Topic-aware Multi-perspective Summaries for Scientific Documents

Sajad Sotudeh, Nazli Goharian

Multi Perspective Scientific Document Summarization With Graph Attention Networks (GATS)

Abbas Akkasi

Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP)

Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer

Benchmark for Research Theme Classification of Scholarly Documents

Oscar E. Mendoza, Wojciech Kusa, Alaa El-Ebshihy, Ronin Wu, David Pride

Varanalysis@SV-Ident 2022: Variable Detection and Disambiguation Based on Semantic Similarity

Alica Hövelmeyer, Yavuz Selim Kartal

Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications

Tornike Tsereteli, Yavuz Selim Kartal, Simone Paolo Ponzetto, Andrea Zielinski, Kai Eckert

Detecting generated scientific papers using an ensemble of transformer models

Anna Glazkova, Maksim Glazkov

SynSciPass: detecting appropriate uses of scientific text generation

Domenic Rosati

Overview of the DAGPap22 Shared Task on Detecting Automatically Generated Scientific Papers

Yury Kashnitsky, Drahomira Herrmannova, Anita De Waard, George Tsatsaronis, Catriona Catriona Fennell

An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature Review

Kartik Shinde, Trinita Roy, Tirthankar Ghosal

Abstractive Approaches To Multidocument Summarization Of Medical Literature Reviews

Rahul Tangsali, Aditya Jagdish Vyawahare, Aditya Vyankatesh Mandke, Onkar Rupesh Litake, Dipali Dattatray Kadam

Exploring the limits of a base BART for multi-document summarization in the medical domain

Ishmael Obonyo, Silvia Casola, Horacio Saggion

Evaluating Pre-Trained Language Models on Multi-Document Summarization for Literature Reviews

Benjamin Yu

LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation

Yulia Otmakhova, Hung Thinh Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor

Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews

Lucy Lu Wang, Jay DeYoung, Byron Wallace

Citation Sentence Generation Leveraging the Content of Cited Papers

Akito Arita, Hiroaki Sugiyama, Kohji Dohsaka, Rikuto Tanaka, Hirotoshi Taira

Named Entity Recognition Based Automatic Generation of Research Highlights

Tohida Rehman, Debarshi Kumar Sanyal, Prasenjit Majumder, Samiran Chattopadhyay

Named Entity Inclusion in Abstractive Text Summarization

Sergey Berezin, Tatiana Batura

A Japanese Masked Language Model for Academic Domain

Hiroki Yamauchi, Tomoyuki Kajiwara, Marie Katsurai, Ikki Ohmukai, Takashi Ninomiya

Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing

Nima Ebadi, Anthony Rios, Peyman Najafirad

Exploiting Unary Relations with Stacked Learning for Relation Extraction

Yuan Zhuang, Ellen Riloff, Kiri L. Wagstaff, Raymond Francis, Matthew P. Golombek

Investigating Metric Diversity for Evaluating Long Document Summarisation

Cai Yang, Stephen Wan

Multi-label Classification of Scientific Research Documents Across Domains and Languages

Autumn Toney, James Dunham

Unsupervised Partial Sentence Matching for Cited Text Identification

Kathryn Ricci, Haw-Shiuan Chang, Purujit Goyal, Andrew McCallum

Visualisation Methods for Diachronic Semantic Shift

Raef Kazi, Alessandra Amato, Shenghui Wang, Doina Bucur

Multi-objective Representation Learning for Scientific Document Retrieval

Mathias Parisot, Jakub Zavrel

Identifying Medical Paraphrases in Scientific versus Popularization Texts in French for Laypeople Understanding

Ioana Buhnila

Incorporating the Rhetoric of Scientific Language into Sentence Embeddings using Phrase-guided Distant Supervision and Metric Learning

Kaito Sugimoto, Akiko Aizawa

Citation Context Classification: Critical vs Non-critical

Sonita Te, Amira Barhoumi, Martin Lentschat, Frédérique Bordignon, Cyril Labbe

Lightweight Contextual Logical Structure Recovery

Po-Wei Huang, Abhinav Ramesh Kashyap, Yanxia Qin, Yajing Yang, Min-Yen Kan

Investigating the detection of Tortured Phrases in Scientific Literature

Puthineath Lay, Martin Lentschat, Cyril Labbe

Large-scale Evaluation of Transformer-based Article Encoders on the Task of Citation Recommendation

Zoran Medić, Jan Šnajder

Finding Scientific Topics in Continuously Growing Text Corpora

André Bittermann, Jonas Rieger

Overview of the Third Workshop on Scholarly Document Processing

Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova

Neural-Guided Program Synthesis of Information Extraction Rules Using Self-Supervision

Enrique Noriega-Atala, Robert Vacareanu, Gus Hahn-Powell, Marco A. Valenzuela-Escárcega

Rule Based Event Extraction for Artificial Social Intelligence

Remo Nitschke, Yuwei Wang, Chen Chen, Adarsh Pyarelal, Rebecca Sharp

Query Processing and Optimization for a Custom Retrieval Language

Yakov Kuzin, Anna Smirnova, Evgeniy Slobodkin, George Chernishev

Syntax-driven Data Augmentation for Named Entity Recognition

Arie Sutiono, Gus Hahn-Powell

Accelerating Human Authorship of Information Extraction Rules

Dayne Freitag, John Cadigan, John Niekrasz, Robert Sasseen

SSP-Based Construction of Evaluation-Annotated Data for Fine-Grained Aspect-Based Sentiment Analysis

Suwon Choi, Shinwoo Kim, Changhoe Hwang, Gwanghoon Yoo, Eric Laporte

Building Korean Linguistic Resource for NLU Data Generation of Banking App CS Dialog System

Jeongwoo Yoon, Onyu Park, Changhoe Hwang, Gwanghoon Yoo, Eric Laporte

Unsupervised Generation of Long-form Technical Questions from Textbook Metadata using Structured Templates

Indrajit Bhattacharya, Subhasish Ghosh, Arpita Kundu, Pratik Saini, Tapas Nayak

Key Information Extraction in Purchase Documents using Deep Learning and Rule-based Corrections

Roberto Arroyo, Javier Yebes, Elena Martínez, Héctor Corrales, Javier Lorenzo

PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms

Robert Vacareanu, Dane Bell, Mihai Surdeanu

Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts

Keshav Bansal, Harsh Agarwal, Abhinav Joshi, Ashutosh Modi

Cost-Effective Language Driven Image Editing with LX-DRIM

Rodrigo Santos, António Branco, João Ricardo Silva

Pixel-Level BPE for Auto-Regressive Image Generation

Anton Razzhigaev, Anton Voronov, Andrey Kaznacheev, Andrey Kuznetsov, Denis Dimitrov

Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence Labeling

Juan Manuel Coria, Mathilde Veron, Sahar Ghannay, Guillaume Bernard, Hervé Bredin

Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning

Zhenhailong Wang, Hang Yu, Manling Li, Han Zhao, Heng Ji

On the Effects of Video Grounding on Language Models

Ehsan Doostmohammadi, Marco Kuhlmann

Aligning Word Vectors on Low-Resource Languages with Wiktionary

Mike Izbicki

Exploring Word Alignment towards an Efficient Sentence Aligner for Filipino and Cebuano Languages

Jenn Leana Fernandez, Kristine Mae M. Adlaon

A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings

Mohaddeseh Bastan, Shahram Khadivi

Benefiting from Language Similarity in the Multilingual MT Training: Case Study of Indonesian and Malaysian

Alberto Poncelas, Johanes Effendi

Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches

Luis Chiruzzo, Euan McGill, Santiago Egea-Gómez, Horacio Saggion

Romanian Language Translation in the RELATE Platform

Vasile Pais, Maria Mitrofan, Andrei-Marius Avram

HFT: High Frequency Tokens for Low-Resource NMT

Edoardo Signoroni, Pavel Rychlý

Machine Translation for a Very Low-Resource Language - Layer Freezing Approach on Transfer Learning

Amartya Chowdhury, Deepak K. T., Samudra Vijaya K, S. R. Mahadeva Prasanna

Augmented Bio-SBERT: Improving Performance for Pairwise Sentence Tasks in Bio-medical Domain

Sonam Pankaj, Amit Gautam

Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican

Nathaniel Robinson, Cameron Hogan, Nancy Fulda, David R. Mortensen

The Only Chance to Understand: Machine Translation of the Severely Endangered Low-resource Languages of Eurasia

Anna Mosolova, Kamel Smaili