ACL 2019

1,448 papers

Domain Adaptation of SRL Systems for Biological Processes

Dheeraj Rajagopal, Nidhi Vyas, Aditya Siddhant, Anirudha Rayasam, Niket Tandon

MoNERo: a Biomedical Gold Standard Corpus for the Romanian Language

Maria Mitrofan, Verginica Barbu Mititelu, Grigorina Mitrofan

Combining Structured and Free-text Electronic Medical Record Data for Real-time Clinical Decision Support

Emilia Apostolova, Tony Wang, Tim Tschampel, Ioannis Koutroulis, Tom Velez

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

Yifan Peng, Shankai Yan, Zhiyong Lu

Analysing Representations of Memory Impairment in a Clinical Notes Classification Model

Mark Ormerod, Jesús Martínez-del-Rincón, Neil Robertson, Bernadette McGuinness, Barry Devereux

REflex: Flexible Framework for Relation Extraction in Multiple Domains

Geeticka Chauhan, Matthew B.A. McDermott, Peter Szolovits

A Paraphrase Generation System for EHR Question Answering

Sarvesh Soni, Kirk Roberts

Learning from the Experience of Doctors: Automated Diagnosis of Appendicitis Based on Clinical Notes

Steven Kester Yuwono, Hwee Tou Ng, Kee Yuan Ngiam

Classifying the reported ability in clinical mobility descriptions

Denis Newman-Griffis, Ayah Zirikly, Guy Divita, Bart Desmet

Proceedings of the 18th BioNLP Workshop and Shared Task

Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii

Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays

Yanjun Gao, Alex Driban, Brennan Xavier McManus, Elena Musi, Patricia Davies

Modeling language learning using specialized Elo rating

Jue Hou, Maximilian W. Koppatz, José María Hoya Quecedo, Nataliya Stoyanova, Mikhail Kopotev

Automated Essay Scoring with Discourse-Aware Neural Models

Farah Nadeem, Huy Nguyen, Yang Liu, Mari Ostendorf

The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction

Phu Mon Htut, Joel Tetreault

Equipping Educational Applications with Domain Knowledge

Tarek Sakakini, Hongyu Gong, Jong Yoon Lee, Robert Schloss, Jinjun Xiong

From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences

Chieh-Yang Huang, Yi-Ting Huang, MeiHua Chen, Lun-Wei Ku

Equity Beyond Bias in Language Technologies for Education

Elijah Mayfield, Michael Madaio, Shrimai Prabhumoye, David Gerritsen, Brittany McLaughlin

Application of an Automatic Plagiarism Detection System in a Large-scale Assessment of English Speaking Proficiency

Xinhao Wang, Keelan Evanini, Matthew Mulholland, Yao Qian, James V. Bruno

Metaphors in Text Simplification: To change or not to change, that is the question

Yulia Clausen, Vivi Nastase

Measuring text readability with machine comprehension: a pilot study

Marc Benzahra, François Yvon

Learning Outcomes and Their Relatedness in a Medical Curriculum

Sneha Mondal, Tejas Dhamecha, Shantanu Godbole, Smriti Pathak, Red Mendoza

Content Modeling for Automated Oral Proficiency Scoring System

Su-Youn Yoon, Chong Min Lee

Analyzing Linguistic Complexity and Accuracy in Academic Language Development of German across Elementary and Secondary School

Zarah Weiss, Detmar Meurers

Simple Construction of Mixed-Language Texts for Vocabulary Learning

Adithya Renduchintala, Philipp Koehn, Jason Eisner

Measuring Text Complexity for Italian as a Second Language Learning Purposes

Luciana Forti, Alfredo Milani, Luisa Piersanti, Filippo Santarelli, Valentino Santucci

On Understanding the Relation between Expert Annotations of Text Readability and Target Reader Comprehension

Sowmya Vajjala, Ivana Lucic

Supporting content evaluation of student summaries by Idea Unit embedding

Marcello Gecchele, Hiroaki Yamada, Takenobu Tokunaga, Yasuyo Sawaki

Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning

Srikrishna Raamadhurai, Ryan Baker, Vikraman Poduval

Content Customization for Micro Learning using Human Augmented AI Techniques

Ayush Shah, Tamer Abuelsaad, Jae-Wook Ahn, Prasenjit Dey, Ravi Kokku

Analytic Score Prediction and Justification Identification in Automated Short Answer Scoring

Tomoya Mizumoto, Hiroki Ouchi, Yoriko Isobe, Paul Reisert, Ryo Nagata

Toward Automated Content Feedback Generation for Non-native Spontaneous Speech

Su-Youn Yoon, Ching-Ni Hsieh, Klaus Zechner, Matthew Mulholland, Yuan Wang

Grammatical-Error-Aware Incorrect Example Retrieval System for Learners of Japanese as a Second Language

Mio Arai, Masahiro Kaneko, Mamoru Komachi

Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian

Alessio Miaschi, Chiara Alzetta, Franco Alberto Cardillo, Felice Dell’Orletta

Anglicized Words and Misspelled Cognates in Native Language Identification

Ilia Markov, Vivi Nastase, Carlo Strapparava

Evaluation of automatic collocation extraction methods for language learning

Vishal Bhalla, Klara Klimcikova

Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic Data

Roman Grundkiewicz, Marcin Junczys-Dowmunt, Kenneth Heafield

Multi-headed Architecture Based on BERT for Grammatical Errors Correction

Bohdan Didenko, Julia Shaptala

Improving Precision of Grammatical Error Correction with a Cheat Sheet

Mengyang Qiu, Xuejiao Chen, Maggie Liu, Krishna Parvathala, Apurva Patil

Neural and FST-based approaches to grammatical error correction

Zheng Yuan, Felix Stahlberg, Marek Rei, Bill Byrne, Helen Yannakoudakis

A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning

Yo Joong Choe, Jiyeon Ham, Kyubyong Park, Yeoil Yoon

TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track

Masahiro Kaneko, Kengo Hotate, Satoru Katsumata, Mamoru Komachi

The BLCU System in the BEA 2019 Shared Task

Liner Yang, Chencheng Wang

Noisy Channel for Low Resource Grammatical Error Correction

Simon Flachs, Ophélie Lacroix, Anders Søgaard

CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction

Jakub Náplava, Milan Straka

The AIP-Tohoku System at the BEA-2019 Shared Task

Hiroki Asano, Masato Mita, Tomoya Mizumoto, Jun Suzuki

The CUED’s Grammatical Error Correction Systems for BEA-2019

Felix Stahlberg, Bill Byrne

The LAIX Systems in the BEA-2019 GEC Shared Task

Ruobing Li, Chuan Wang, Yefei Zha, Yonghong Yu, Shiman Guo

Erroneous data generation for Grammatical Error Correction

Shuyao Xu, Jiehao Zhang, Jin Chen, Long Qin

Learning to combine Grammatical Error Corrections

Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman

(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus

Satoru Katsumata, Mamoru Komachi

The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction

Dimitris Alikaniotis, Vipul Raheja

How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models

Brian Riordan, Michael Flor, Robert Pugh

Context is Key: Grammatical Error Detection with Contextual Word Representations

Samuel Bell, Helen Yannakoudakis, Marek Rei

Regression or classification? Automated Essay Scoring for Norwegian

Stig Johan Berggren, Taraka Rama, Lilja Øvrelid

Artificial Error Generation with Fluency Filtering

Mengyang Qiu, Jungyeul Park

A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling Correction

Michael Flor, Michael Fried, Alla Rozovskaya

The BEA-2019 Shared Task on Grammatical Error Correction

Christopher Bryant, Mariano Felice, Øistein E. Andersen, Ted Briscoe

Analysing Rhetorical Structure as a Key Feature of Summary Coherence

Jan Šnajder, Tamara Sladoljev-Agejev, Svjetlana Kolić Vehovec

Computationally Modeling the Impact of Task-Appropriate Language Complexity and Accuracy on Human Grading of German Essays

Zarah Weiss, Anja Riemenschneider, Pauline Schröter, Detmar Meurers

An Intelligent Testing Strategy for Vocabulary Assessment of Chinese Second Language Learners

Wei Zhou, Renfen Hu, Feipeng Sun, Ronghuai Huang

Predicting the Difficulty of Multiple Choice Questions in a High-stakes Medical Exam

Le An Ha, Victoria Yaneva, Peter Baldwin, Janet Mee

The many dimensions of algorithmic fairness in educational applications

Anastassia Loukina, Nitin Madnani, Klaus Zechner

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications

Helen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán

Towards Assessing Argumentation Annotation - A First Step

Anna Lindahl, Lars Borin, Jacobo Rouces

Persuasion of the Undecided: Language vs. the Listener

Liane Longpre, Esin Durmus, Claire Cardie

Gradual Argumentation Evaluation for Stance Aggregation in Automated Fake News Detection

Neema Kotonya, Francesca Toni

Ranking Passages for Argument Convincingness

Peter Potash, Adam Ferguson, Timothy J. Hazen

Categorizing Comparative Sentences

Alexander Panchenko, Alexander Bondarenko, Mirco Franzek, Matthias Hagen, Chris Biemann

Evaluation of Scientific Elements for Text Similarity in Biomedical Publications

Mariana Neves, Daniel Butzke, Barbara Grune

Annotation of Rhetorical Moves in Biochemistry Articles

Mohammed Alliheedi, Robert E. Mercer, Robin Cohen

Detecting Argumentative Discourse Acts with Linguistic Alignment

Timothy Niven, Hung-Yu Kao

The Utility of Discourse Parsing Features for Predicting Argumentation Structure

Freya Hewett, Roshan Prakash Rane, Nina Harlacher, Manfred Stede

Argumentative Evidences Classification and Argument Scheme Detection Using Tree Kernels

Davide Liga

Argument Component Classification by Relation Identification by Neural Network and TextRank

Mamoru Deguchi, Kazunori Yamaguchi

Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation

Maximilian Spliethöver, Jonas Klaff, Hendrik Heuer

Lexicon Guided Attentive Neural Network Model for Argument Mining

Jian-Fu Lin, Kuo Yu Huang, Hen-Hsen Huang, Hsin-Hsi Chen

Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining

Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz

The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data

Stian Rødven Eide

Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts

Pablo Accuosto, Horacio Saggion

Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining

Laurine Huber, Yannick Toussaint, Charlotte Roze, Mathilde Dargnat, Chloé Braud

Dissecting Content and Context in Argumentative Relation Analysis

Juri Opitz, Anette Frank

A Cascade Model for Proposition Extraction in Argumentation

Yohan Jo, Jacky Visser, Chris Reed, Eduard Hovy

Segmentation of Argumentative Texts with Contextualised Word Representations

Georgios Petasis

Proceedings of the 6th Workshop on Argument Mining

Benno Stein, Henning Wachsmuth

Online aggression from a sociological perspective: An integrative view on determinants and possible countermeasures

Sebastian Weingartner, Lea Stahel

“Condescending, Rude, Assholes”: Framing gender and hostility on Stack Overflow

Sian Brooke

An Impossible Dialogue! Nominal Utterances and Populist Rhetoric in an Italian Twitter Corpus of Hate Speech against Immigrants

Gloria Comandini, Viviana Patti

Detecting Aggression and Toxicity using a Multi Dimension Capsule Network

Saurabh Srivastava, Prerna Khurana

A Platform Agnostic Dual-Strand Hate Speech Detector

Johannes Skjeggestad Meyer, Björn Gambäck

Neural Word Decomposition Models for Abusive Language Detection

Sravan Bodapati, Spandana Gella, Kasturi Bhattacharjee, Yaser Al-Onaizan

Preemptive Toxic Language Detection in Wikipedia Comments Using Thread-Level Context

Vanja Mladen Karan, Jan Šnajder

At the Lower End of Language—Exploring the Vulgar and Obscene Side of German

Elisabeth Eder, Ulrike Krieg-Holz, Udo Hahn

L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language

Hala Mulki, Hatem Haddad, Chedi Bechikh Ali, Halima Alshabani

A System to Monitor Cyberbullying based on Message Classification and Social Network Analysis

Stefano Menini, Giovanni Moretti, Michele Corazza, Elena Cabrio, Sara Tonelli

A Hierarchically-Labeled Portuguese Hate Speech Dataset

Paula Fortuna, João Rocha da Silva, Juan Soler-Company, Leo Wanner, Sérgio Nunes

Challenges and frontiers in abusive content detection

Bertie Vidgen, Alex Harris, Dong Nguyen, Rebekah Tromble, Scott Hale

Pay “Attention” to your Context when Classifying Abusive Language

Tuhin Chakrabarty, Kilol Gupta, Smaranda Muresan

The Discourse of Online Content Moderation: Investigating Polarized User Responses to Changes in Reddit’s Quarantine Policy

Qinlan Shen, Carolyn Rose

Multi-label Hate Speech and Abusive Language Detection in Indonesian Twitter

Muhammad Okky Ibrohim, Indra Budi

Automated Identification of Verbally Abusive Behaviors in Online Discussions

Srecko Joksimovic, Ryan S. Baker, Jaclyn Ocumpaugh, Juan Miguel L. Andres, Ivan Tot