ACL 2019

1,448 papers

Thirty Musts for Meaning Banking

Lasha Abzianidze, Johan Bos

Cross-Linguistic Semantic Annotation: Reconciling the Language-Specific and the Universal

Jens E. L. Van Gysel, Meagan Vigus, Pavlina Kalm, Sook-kyung Lee, Michael Regan

Proceedings of the First International Workshop on Designing Meaning Representations

Nianwen Xue, William Croft, Jan Hajic, Chu-Ren Huang, Stephan Oepen

Sentiment Analysis for Multilingual Corpora

Svitlana Galeshchuk, Ju Qiu, Julien Jourdan

Improving Sentiment Classification in Slovak Language

Samuel Pecar, Marian Simko, Maria Bielikova

Building English-to-Serbian Machine Translation System for IMDb Movie Reviews

Pintu Lohar, Maja Popović, Andy Way

JRC TMA-CC: Slavic Named Entity Recognition and Linking. Participation in the BSNLP-2019 shared task

Guillaume Jacquet, Jakub Piskorski, Hristo Tanev, Ralf Steinberger

Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF

Anton Emelyanov, Ekaterina Artemova

Tuning Multilingual Transformers for Language-Specific Named Entity Recognition

Mikhail Arkhipov, Maria Trofimova, Yuri Kuratov, Alexey Sorokin

TLR at BSNLP2019: A Multilingual Named Entity Recognition System

José G. Moreno, Elvys Linhares Pontes, Mickael Coustaty, Antoine Doucet

BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer

Tatiana Tsygankova, Stephen Mayhew, Dan Roth

The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages

Jakub Piskorski, Laska Laskova, Michał Marcińczuk, Lidia Pivovarova, Pavel Přibáň

A Dataset for Noun Compositionality Detection for a Slavic Language

Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko, Ekaterina Artemova

Data Set for Stance and Sentiment Analysis from User Comments on Croatian News

Mihaela Bošnjak, Vanja Mladen Karan

Creating a Corpus for Russian Data-to-Text Generation Using Neural Machine Translation and Post-Editing

Anastasia Shimorina, Elena Khasanova, Claire Gardent

AGRR 2019: Corpus for Gapping Resolution in Russian

Maria Ponomareva, Kira Droganova, Ivan Smurov, Tatiana Shavrina

What does Neural Bring? Analysing Improvements in Morphosyntactic Annotation and Lemmatisation of Slovenian, Croatian and Serbian

Nikola Ljubešić, Kaja Dobrovoljc

Numbers Normalisation in the Inflected Languages: a Case Study of Polish

Rafał Poświata, Michał Perełkiewicz

Multiple Admissibility: Judging Grammaticality using Unlabeled Data in Language Learning

Anisia Katinskaia, Sardana Ivanova

Unsupervised Induction of Ukrainian Morphological Paradigms for the New Lexicon: Extending Coverage for Named Entities and Neologisms using Inflection Tables and Unannotated Corpora

Bogdan Babych

Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing

Tomaž Erjavec, Michał Marcińczuk, Preslav Nakov, Jakub Piskorski, Lidia Pivovarova

What Does BERT Look at? An Analysis of BERT’s Attention

Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning

From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions

David Mareček, Rudolf Rosa

GEval: Tool for Debugging NLP Datasets and Models

Filip Graliński, Anna Wróblewska, Tomasz Stanisławek, Kamil Grabowski, Tomasz Górecki

Open Sesame: Getting inside BERT’s Linguistic Knowledge

Yongjie Lin, Yi Chern Tan, Robert Frank

Adversarial Attack on Sentiment Classification

Yi-Ting Tsai, Min-Chu Yang, Han-Yu Chen

Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing

William Merrill, Lenny Khazan, Noah Amsel, Yiding Hao, Simon Mendelsohn

An Analysis of Source-Side Grammatical Errors in NMT

Antonios Anastasopoulos

An LSTM Adaptation Study of (Un)grammaticality

Shammur Absar Chowdhury, Roberto Zamparelli

Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains

Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem Zuidema

Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations

Ethan Wilcox, Roger Levy, Richard Futrell

Derivational Morphological Relations in Word Embeddings

Tomáš Musil, Jonáš Vidra, David Mareček

Probing Word and Sentence Embeddings for Long-distance Dependencies Effects in French and English

Paola Merlo

Modeling Paths for Explainable Knowledge Base Completion

Josua Stadelmaier, Sebastian Padó

Learning the Dyck Language with Attention-based Seq2Seq Models

Xiang Yu, Ngoc Thang Vu, Jonas Kuhn

On the Realization of Compositionality in Neural Networks

Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer

Evaluating Recurrent Neural Network Explanations

Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek

Faithful Multimodal Explanation for Visual Question Answering

Jialin Wu, Raymond Mooney

Character Eyes: Seeing Language through Character-Level Taggers

Yuval Pinter, Marc Marone, Jacob Eisenstein

Testing the Generalization Power of Neural Network Models across NLI Benchmarks

Aarne Talman, Stergios Chatzikyriakidis

Detecting Political Bias in News Articles Using Headline Attention

Rama Rohit Reddy Gangula, Suma Reddy Duggenpudi, Radhika Mamidi

Analyzing the Structure of Attention in a Transformer Language Model

Jesse Vig, Yonatan Belinkov

Do Human Rationales Improve Machine Explanations?

Julia Strout, Ye Zhang, Raymond Mooney

The Meaning of “Most” for Visual Question Answering Models

Alexander Kuhnle, Ann Copestake

Multi-Granular Text Encoding for Self-Explaining Categorization

Zhiguo Wang, Yue Zhang, Mo Yu, Wei Zhang, Lin Pan

Can Neural Networks Understand Monotonicity Reasoning?

Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine

Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling

Dominik Schlechtweg, Cennet Oguz, Sabine Schulte im Walde

Sentiment Analysis Is Not Solved! Assessing and Probing Sentiment Classification

Jeremy Barnes, Lilja Øvrelid, Erik Velldal

Transcoding Compositionally: Using Attention to Find More Generalizable Solutions

Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Tal Linzen, Grzegorz Chrupała, Yonatan Belinkov, Dieuwke Hupkes

ARS_NITK at MEDIQA 2019:Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and Medical Question Answering System

Anumeha Agrawal, Rosa Anil George, Selvan Suntiha Ravi, Sowmya Kamath S, Anand Kumar

NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model

Lung-Hao Lee, Yi Lu, Po-Han Chen, Po-Lei Lee, Kuo-Kai Shyu

LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity Recognition

Andre Lamurias, Francisco M Couto

IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering

Dibyanayan Bandyopadhyay, Baban Gain, Tanik Saikh, Asif Ekbal

Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference

Kamal raj Kanakarajan, Suriyadeepan Ramamoorthy, Vaidheeswaran Archana, Soham Chatterjee, Malaikannan Sankarasubbu

UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference

William Kearns, Wilson Lau, Jason Thomas

UU_TAILS at MEDIQA 2019: Learning Textual Entailment in the Medical Domain

Noha Tawfik, Marco Spruit

MSIT_SRIB at MEDIQA 2019: Knowledge Directed Multi-task Framework for Natural Language Inference in Clinical Domain.

Sahil Chopra, Ankita Gupta, Anupama Kaushik

ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge

Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing

IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier

Prakhar Sharma, Sumegh Roychowdhury

Sieg at MEDIQA 2019: Multi-task Neural Ensemble for Biomedical Inference and Entailment

Sai Abishek Bhaskar, Rashi Rungta, James Route, Eric Nyberg, Teruko Mitamura

Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations

Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary, James Route, Teruko Mitamura

DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering

HuiWei Zhou, Bizun Lei, Zhe Liu, Zhuang Liu

DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering

HuiWei Zhou, Xuefei Li, Weihong Yao, Chengkun Lang, Shixian Ning

KU_ai at MEDIQA 2019: Domain-specific Pre-training and Transfer Learning for Medical NLI

Cemil Cengiz, Ulaş Sert, Deniz Yuret

WTMED at MEDIQA 2019: A Hybrid Approach to Biomedical Natural Language Inference

Zhaofeng Wu, Yan Song, Sicong Huang, Yuanhe Tian, Fei Xia

Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model

Jiin Nam, Seunghyun Yoon, Kyomin Jung

DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain

Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao

Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment

Hemant Pugaliya, Karan Saxena, Shefali Garg, Sheetal Shalini, Prashant Gupta

PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation

Wei Zhu, Xiaofeng Zhou, Keqiang Wang, Xun Luo, Xiepeng Li

Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering

Asma Ben Abacha, Chaitanya Shivade, Dina Demner-Fushman

Extracting relations between outcomes and significance levels in Randomized Controlled Trials (RCTs) publications

Anna Koroleva, Patrick Paroubek

Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations

Gaurav Vashisth, Jan-Niklas Voigt-Antons, Michael Mikhailov, Roland Roller

Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning

Hassan Alhuzali, Sophia Ananiadou

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings

Zenan Zhai, Dat Quoc Nguyen, Saber Akhondi, Camilo Thorne, Christian Druckenbrodt

ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing

Mark Neumann, DANIEL KING, Iz Beltagy, Waleed Ammar

Simplification-induced transformations: typology and some characteristics

Anaïs Koptient, Rémi Cardon, Natalia Grabar

Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors

Sotiris Kotitsas, Dimitris Pappas, Ion Androutsopoulos, Ryan Mcdonald, Marianna Apidianaki

Transfer Learning for Causal Sentence Detection

Manolis Kyriakakis, Ion Androutsopoulos, Artur Saudabayev, Joan Ginés i Ametllé

Two-stage Federated Phenotyping and Patient Representation Learning

Dianbo Liu, Dmitriy Dligach, Timothy Miller

Clinical Case Reports for NLP

Cyril Grouin, Natalia Grabar, Vincent Claveau, Thierry Hamon

Clinical Concept Extraction for Document-Level Coding

Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein

ChiMed: A Chinese Medical Corpus for Question Answering

Yuanhe Tian, Weicheng Ma, Fei Xia, Yan Song

Is artificial data useful for biomedical Natural Language Processing algorithms?

Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia

Can Character Embeddings Improve Cause-of-Death Classification for Verbal Autopsy Narratives?

Zhaodong Yan, Serena Jeblee, Graeme Hirst

Contributions to Clinical Named Entity Recognition in Portuguese

Fábio Lopes, César Teixeira, Hugo Gonçalo Oliveira

Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding

Hichem Mezaoui, Isuru Gunasekara, Aleksandr Gontcharov

Leveraging Sublanguage Features for the Semantic Categorization of Clinical Terms

Leonie Grön, Ann Bertels, Kris Heylen

Annotating Temporal Information in Clinical Notes for Timeline Reconstruction: Towards the Definition of Calendar Expressions

Natalia Viani, Hegler Tissot, Ariane Bernardino, Sumithra Velupillai

Extraction of Lactation Frames from Drug Labels and LactMed

Heath Goodrum, Meghana Gudala, Ankita Misra, Kirk Roberts

BioRelEx 1.0: Biological Relation Extraction Benchmark

Hrant Khachatrian, Lilit Nersisyan, Karen Hambardzumyan, Tigran Galstyan, Anna Hakobyan

Incorporating Figure Captions and Descriptive Text in MeSH Term Indexing

Xindi Wang, Robert E. Mercer

First Steps towards Building a Medical Lexicon for Spanish with Linguistic and Semantic Information

Leonardo Campillos-Llanos

Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns

Julien Fauqueur, Ashok Thillaisundaram, Theodosia Togia

A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cecile Paris, C Raina MacIntyre

Enhancing biomedical word embeddings by retrofitting to verb clusters

Billy Chiu, Simon Baker, Martha Palmer, Anna Korhonen

Query selection methods for automated corpora construction with a use case in food-drug interactions

Georgeta Bordea, Tsanta Randriatsitohaina, Fleur Mougin, Natalia Grabar, Thierry Hamon

A distantly supervised dataset for automated data extraction from diagnostic studies

Christopher Norman, Mariska Leeflang, René Spijker, Evangelos Kanoulas, Aurélie Névéol

RNN Embeddings for Identifying Difficult to Understand Medical Words

Hanna Pylieva, Artem Chernodub, Natalia Grabar, Thierry Hamon

Deep Contextualized Biomedical Abbreviation Expansion

Qiao Jin, Jinling Liu, Xinghua Lu