EMNLP 2018

1,049 papers

ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific Writing

Anne Lauscher, Goran Glavaš, Kai Eckert

End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture

Gaku Morio, Katsuhide Fujita

Argumentative Link Prediction using Residual Networks and Multi-Objective Learning

Andrea Galassi, Marco Lippi, Paolo Torroni

Proceedings of the 5th Workshop on Argument Mining

Noam Slonim, Ranit Aharonov

The Linguistic Ideologies of Deep Abusive Language Classification

Michael Castelle

Decipherment for Adversarial Offensive Language Detection

Zhelun Wu, Nishant Kambhatla, Anoop Sarkar

Did you offend me? Classification of Offensive Tweets in Hinglish Language

Puneet Mathur, Ramit Sawhney, Meghna Ayyar, Rajiv Shah

Cross-Domain Detection of Abusive Language Online

Vanja Mladen Karan, Jan Šnajder

Datasets of Slovene and Croatian Moderated News Comments

Nikola Ljubešić, Tomaž Erjavec, Darja Fišer

Learning Representations for Detecting Abusive Language

Magnus Sahlgren, Tim Isbister, Fredrik Olsson

Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs

Sima Sharifirad, Borna Jafarpour, Stan Matwin

Comparative Studies of Detecting Abusive Language on Twitter

Younghun Lee, Seunghyun Yoon, Kyomin Jung

Determining Code Words in Euphemistic Hate Speech Using Word Embedding Networks

Rijul Magu, Jiebo Luo

Interpreting Neural Network Hate Speech Classifiers

Cindy Wang

The Effects of User Features on Twitter Hate Speech Detection

Elise Fehn Unsvåg, Björn Gambäck

Aggressive language in an online hacking forum

Andrew Caines, Sergio Pastrana, Alice Hutchings, Paula Buttery

Improving Moderation of Online Discussions via Interpretable Neural Models

Andrej Svec, Matúš Pikuliak, Marian Simko, Maria Bielikova

Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying

Rachele Sprugnoli, Stefano Menini, Sara Tonelli, Filippo Oncini, Enrico Piras

Aggression Detection on Social Media Text Using Deep Neural Networks

Vinay Singh, Aman Varshney, Syed Sarfaraz Akhtar, Deepanshu Vijay, Manish Shrivastava

Challenges for Toxic Comment Classification: An In-Depth Error Analysis

Betty van Aken, Julian Risch, Ralf Krestel, Alexander Löser

Predictive Embeddings for Hate Speech Detection on Twitter

Rohan Kshirsagar, Tyrus Cukuvac, Kathy McKeown, Susan McGregor

A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content

Isuru Gunasekara, Isar Nejadgholi

Hate Speech Dataset from a White Supremacy Forum

Ona de Gibert, Naiara Perez, Aitor García-Pablos, Montse Cuadros

Neural Character-based Composition Models for Abuse Detection

Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova

Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)

Darja Fišer, Ruihong Huang, Vinodkumar Prabhakaran, Rob Voigt, Zeerak Waseem

CLaC at SMM4H Task 1, 2, and 4

Parsa Bagherzadeh, Nadia Sheikh, Sabine Bergler

Leveraging Web Based Evidence Gathering for Drug Information Identification from Tweets

Rupsa Saha, Abir Naskar, Tirthankar Dasgupta, Lipika Dey

Using PPM for Health Related Text Detection

Victoria Bobicev, Victoria Lazu, Daniela Istrati

Deep Learning for Social Media Health Text Classification

Santosh T.y.s.s, Santosh Tokala, Vaibhav Gambhir, Animesh Mukherjee

UZH@SMM4H: System Descriptions

Tilia Ellendorff, Joseph Cornelius, Heath Gordon, Nicola Colic, Fabio Rinaldi

Automatic Identification of Drugs and Adverse Drug Reaction Related Tweets

Segun Taofeek Aroyehun, Alexander Gelbukh

Drug-Use Identification from Tweets with Word and Character N-Grams

Çağrı Çöltekin, Taraka Rama

IRISA at SMM4H 2018: Neural Network and Bagging for Tweet Classification

Anne-Lyse Minard, Christian Raymond, Vincent Claveau

Neural DrugNet

Nishant Nikhil, Shivansh Mundra

Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection

Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cecile Paris

Classification of Medication-Related Tweets Using Stacked Bidirectional LSTMs with Context-Aware Attention

Orest Xherija

Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention

Chuhan Wu, Fangzhao Wu, Junxin Liu, Sixing Wu, Yongfeng Huang

Dealing with Medication Non-Adherence Expressions in Twitter

Takeshi Onishi, Davy Weissenbacher, Ari Klein, Karen O’Connor, Graciela Gonzalez-Hernandez

Identification of Emergency Blood Donation Request on Twitter

Puneet Mathur, Meghna Ayyar, Sahil Chopra, Simra Shahid, Laiba Mehnaz

Thumbs Up and Down: Sentiment Analysis of Medical Online Forums

Victoria Bobicev, Marina Sokolova

Changes in Psycholinguistic Attributes of Social Media Users Before, During, and After Self-Reported Influenza Symptoms

Lucie Flekova, Vasileios Lampos, Ingemar Cox

Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018

Davy Weissenbacher, Abeed Sarker, Michael J. Paul, Graciela Gonzalez-Hernandez

Identifying Depression on Reddit: The Effect of Training Data

Inna Pirina, Çağrı Çöltekin

Stance-Taking in Topics Extracted from Vaccine-Related Tweets and Discussion Forum Posts

Maria Skeppstedt, Manfred Stede, Andreas Kerren

Football and Beer - a Social Media Analysis on Twitter in Context of the FIFA Football World Cup 2018

Roland Roller, Philippe Thomas, Sven Schmeier

Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task

Graciela Gonzalez-Hernandez, Davy Weissenbacher, Abeed Sarker, Michael Paul

Extracting Morphophonology from Small Corpora

Marina Ermolaeva

Phonological Features for Morphological Inflection

Adam Wiemerslage, Miikka Silfverberg, Mans Hulden

Sanskrit n-Retroflexion is Input-Output Tier-Based Strictly Local

Thomas Graf, Connor Mayer

An Arabic Morphological Analyzer and Generator with Copious Features

Dima Taji, Salam Khalifa, Ossama Obeid, Fadhl Eryani, Nizar Habash

A Morphological Analyzer for Shipibo-Konibo

Ronald Cardenas, Daniel Zeman

On Hapax Legomena and Morphological Productivity

Janet Pierrehumbert, Ramón Granell

Sounds Wilde. Phonetically Extended Embeddings for Author-Stylized Poetry Generation

Aleksey Tikhonov, Ivan P. Yamshchikov

Phonetic Vector Representations for Sound Sequence Alignment

Pavel Sofroniev, Çağrı Çöltekin

A Characterwise Windowed Approach to Hebrew Morphological Segmentation

Amir Zeldes

Seq2Seq Models with Dropout can Learn Generalizable Reduplication

Brandon Prickett, Aaron Traylor, Joe Pater

A Comparison of Entity Matching Methods between English and Japanese Katakana

Michiharu Yamashita, Hideki Awashima, Hidekazu Oiwa

Automatically Tailoring Unsupervised Morphological Segmentation to the Language

Ramy Eskander, Owen Rambow, Smaranda Muresan

Modeling Reduplication with 2-way Finite-State Transducers

Hossep Dolatian, Jeffrey Heinz

Complementary Strategies for Low Resourced Morphological Modeling

Alexander Erdmann, Nizar Habash

String Transduction with Target Language Models and Insertion Handling

Garrett Nicolai, Saeed Najafi, Grzegorz Kondrak

Adaptor Grammars for the Linguist: Word Segmentation Experiments for Very Low-Resource Languages

Pierre Godard, Laurent Besacier, François Yvon, Martine Adda-Decker, Gilles Adda

Acoustic Word Disambiguation with Phonogical Features in Danish ASR

Andreas Søeborg Kirkedal

Lexical Networks in !Xung

Syed-Amad Hussain, Micha Elsner, Amanda Miller

Efficient Computation of Implicational Universals in Constraint-Based Phonology Through the Hyperplane Separation Theorem

Giorgio Magri

Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology

Sandra Kuebler, Garrett Nicolai

Retrieve and Refine: Improved Sequence Generation Models For Dialogue

Jason Weston, Emily Dinan, Alexander Miller

Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots

Shaojie Jiang, Maarten de Rijke

Exploring Named Entity Recognition As an Auxiliary Task for Slot Filling in Conversational Language Understanding

Samuel Louvan, Bernardo Magnini

Embedding Individual Table Columns for Resilient SQL Chatbots

Bojan Petrovski, Ignacio Aguado, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat

A Knowledge-Grounded Multimodal Search-Based Conversational Agent

Shubham Agarwal, Ondřej Dušek, Ioannis Konstas, Verena Rieser

Data Augmentation for Neural Online Chats Response Selection

Wenchao Du, Alan Black

Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management

Atsushi Saito

Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper

Nut Limsopatham, Oleg Rokhlenko, David Carmel

A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems

Wafa Aissa, Laure Soulier, Ludovic DENOYER

A Methodology for Evaluating Interaction Strategies of Task-Oriented Conversational Agents

Marco Guerini, Sara Falcone, Bernardo Magnini

Building Dialogue Structure from Discourse Tree of a Question

Boris Galitsky, Dmitry Ilvovsky

Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning

Giovanni Yoko Kristianto, Huiwen Zhang, Bin Tong, Makoto Iwayama, Yoshiyuki Kobayashi

Neural Response Ranking for Social Conversation: A Data-Efficient Approach

Igor Shalyminov, Ondřej Dušek, Oliver Lemon

Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI

Aleksandr Chuklin, Jeff Dalton, Julia Kiseleva, Alexey Borisov, Mikhail Burtsev

A mostly unlexicalized model for recognizing textual entailment

Mithun Paul, Rebecca Sharp, Mihai Surdeanu

Team UMBC-FEVER : Claim verification using Semantic Lexical Resources

Ankur Padia, Francis Ferraro, Tim Finin

QED: A fact verification system for the FEVER shared task

Jackson Luken, Nanjiang Jiang, Marie-Catherine de Marneffe

Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks

Christopher Hidey, Mona Diab

Team GESIS Cologne: An all in all sentence-based approach for FEVER

Wolfgang Otto

An End-to-End Multi-task Learning Model for Fact Checking

Sizhen Li, Shuai Zhao, Bo Cheng, Hao Yang

DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention

Aniketh Janardhan Reddy, Gil Rocha, Diego Esteves

Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.

Tuhin Chakrabarty, Tariq Alhindi, Smaranda Muresan

Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification

Motoki Taniguchi, Tomoki Taniguchi, Takumi Takahashi, Yasuhide Miura, Tomoko Ohkuma

SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification

Farhad Nooralahzadeh, Lilja Øvrelid

Uni-DUE Student Team: Tackling fact checking through decomposable attention neural network

Jan Kowollik, Ahmet Aker

Team Papelo: Transformer Networks at FEVER

Christopher Malon

UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification

Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller

UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)

Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp, Sebastian Riedel

Affordance Extraction and Inference based on Semantic Role Labeling

Daniel Loureiro, Alipio Jorge

Where is Your Evidence: Improving Fact-checking by Justification Modeling

Tariq Alhindi, Savvas Petridis, Smaranda Muresan

Teaching Syntax by Adversarial Distraction

Juho Kim, Christopher Malon, Asim Kadav

Zero-shot Relation Classification as Textual Entailment

Abiola Obamuyide, Andreas Vlachos

Stance Detection in Fake News A Combined Feature Representation

Bilal Ghanem, Paolo Rosso, Francisco Rangel

Automated Fact-Checking of Claims in Argumentative Parliamentary Debates

Nona Naderi, Graeme Hirst