EMNLP 2019

1,120 papers

Team GPLSI. Approach for automated fact checking

Aimée Alonso-Reina, Robiert Sepúlveda-Torres, Estela Saquete, Manuel Palomar

Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task

Dominik Stammbach, Guenter Neumann

FEVER Breaker’s Run of Team NbAuzDrLqg

Youngwoo Kim, James Allan

Veritas Annotator: Discovering the Origin of a Rumour

Lucas Azevedo, Mohamed Moustafa

Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively?

Chris Stahlhut

Extract and Aggregate: A Novel Domain-Independent Approach to Factual Data Verification

Anton Chernyavskiy, Dmitry Ilvovsky

Hybrid Models for Aspects Extraction without Labelled Dataset

Wai-Howe Khong, Lay-Ki Soon, Hui-Ngo Goh

Improving Evidence Detection by Leveraging Warrants

Keshav Singh, Paul Reisert, Naoya Inoue, Pride Kavumba, Kentaro Inui

Unsupervised Question Answering for Fact-Checking

Mayank Jobanputra

Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism

Seong Sik Park, Harksoo Kim

Scalable Knowledge Graph Construction from Text Collections

Ryan Clancy, Ihab F. Ilyas, Jimmy Lin

Unsupervised Natural Question Answering with a Small Model

Martin Andrews, Sam Witteveen

GEM: Generative Enhanced Model for adversarial attacks

Piotr Niewinski, Maria Pszona, Maria Janicka

Neural Multi-Task Learning for Stance Prediction

Wei Fang, Moin Nadeem, Mitra Mohtarami, James Glass

Fact Checking or Psycholinguistics: How to Distinguish Fake and True Claims?

Aleksander Wawer, Grzegorz Wojdyga, Justyna Sarzyńska-Wawer

The FEVER2.0 Shared Task

James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal

Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)

James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal

Seeded self-play for language learning

Abhinav Gupta, Ryan Lowe, Jakob Foerster, Douwe Kiela, Joelle Pineau

At a Glance: The Impact of Gaze Aggregation Views on Syntactic Tagging

Sigrid Klerke, Barbara Plank

Learning to request guidance in emergent language

Benjamin Kolb, Leon Lang, Henning Bartsch, Arwin Gansekoele, Raymond Koopmanschap

Understanding the Effect of Textual Adversaries in Multimodal Machine Translation

Koel Dutta Chowdhury, Desmond Elliott

On the Role of Scene Graphs in Image Captioning

Dalin Wang, Daniel Beck, Trevor Cohn

Eigencharacter: An Embedding of Chinese Character Orthography

Yu-Hsiang Tseng, Shu-Kai Hsieh

Big Generalizations with Small Data: Exploring the Role of Training Samples in Learning Adjectives of Size

Sandro Pezzelle, Raquel Fernández

Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task

Alireza Mohammadshahi, Rémi Lebret, Karl Aberer

Structure Learning for Neural Module Networks

Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher Pal

Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN)

Aditya Mogadala, Dietrich Klakow, Sandro Pezzelle, Marie-Francine Moens

Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations

Marco Antonio Sobrevilla Cabezudo, Simon Mille, Thiago Pardo

LORIA / Lorraine University at Multilingual Surface Realisation 2019

Anastasia Shimorina, Claire Gardent

The DipInfoUniTo Realizer at SRST’19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization

Alessandro Mazzei, Valerio Basile

Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders

Xudong Hong, Ernie Chang, Vera Demberg

The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization

Kartikeya Upasani, David King, Jinfeng Rao, Anusha Balakrishnan, Michael White

The Concordia NLG Surface Realizer at SRST 2019

Farhood Farahnak, Laya Rafiee, Leila Kosseim, Thomas Fevens

Surface Realization Shared Task 2019 (MSR19): The Team 6 Approach

Thiago Castro Ferreira, Emiel Krahmer

IMSurReal: IMS at the Surface Realization Shared Task 2019

Xiang Yu, Agnieszka Faleńska, Marina Haid, Ngoc Thang Vu, Jonas Kuhn

Realizing Universal Dependencies Structures

Guy Lapalme

BME-UW at SRST-2019: Surface realization with Interpreted Regular Tree Grammars

Adam Kovacs, Evelin Ács, Judit Ács, András Kornai, Gabor Recski

DepDist: Surface realization via regex and learned dependency-distance tolerance

William Dyer

Learning to Order Graph Elements with Application to Multilingual Surface Realization

Wenchao Du, Alan W Black

The Second Multilingual Surface Realisation Shared Task (SR’19): Overview and Evaluation Results

Simon Mille, Anja Belz, Bernd Bohnet, Yvette Graham, Leo Wanner

Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019)

Simon Mille, Anja Belz, Bernd Bohnet, Yvette Graham, Leo Wanner

Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations

Ke Tran, Arianna Bisazza

Zero-Shot Cross-lingual Name Retrieval for Low-Resource Languages

Kevin Blissett, Heng Ji

X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension

Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard

Weakly Supervised Attentional Model for Low Resource Ad-hoc Cross-lingual Information Retrieval

Lingjun Zhao, Rabih Zbib, Zhuolin Jiang, Damianos Karakos, Zhongqiang Huang

Transductive Auxiliary Task Self-Training for Neural Multi-Task Models

Johannes Bjerva, Katharina Kann, Isabelle Augenstein

Towards Zero-resource Cross-lingual Entity Linking

Shuyan Zhou, Shruti Rijhwani, Graham Neubig

Samvaadhana: A Telugu Dialogue System in Hospital Domain

Suma Reddy Duggenpudi, Kusampudi Siva Subrahamanyam Varma, Radhika Mamidi

Reinforcement-based denoising of distantly supervised NER with partial annotation

Farhad Nooralahzadeh, Jan Tore Lønning, Lilja Øvrelid

Reevaluating Argument Component Extraction in Low Resource Settings

Anirudh Joshi, Timothy Baldwin, Richard Sinnott, Cecile Paris

Neural Unsupervised Parsing Beyond English

Katharina Kann, Anhad Mohananey, Samuel R. Bowman, Kyunghyun Cho

Natural Language Generation for Effective Knowledge Distillation

Raphael Tang, Yao Lu, Jimmy Lin

Multimodal, Multilingual Grapheme-to-Phoneme Conversion for Low-Resource Languages

James Route, Steven Hillis, Isak Czeresnia Etinger, Han Zhang, Alan W Black

Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing

Somnath Basu Roy Chowdhury, Annervaz M, Ambedkar Dukkipati

Inject Rubrics into Short Answer Grading System

Tianqi Wang, Naoya Inoue, Hiroki Ouchi, Tomoya Mizumoto, Kentaro Inui

Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A Faroese Case Study

James Barry, Joachim Wagner, Jennifer Foster

Evaluating Lottery Tickets Under Distributional Shifts

Shrey Desai, Hongyuan Zhan, Ahmed Aly

Metric Learning for Dynamic Text Classification

Jeremy Wohlwend, Ethan R. Elenberg, Sam Altschul, Shawn Henry, Tao Lei

Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual

He He, Sheng Zha, Haohan Wang

Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings

Luke Melas-Kyriazi, George Han, Celine Liang

From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training

Mayur Patidar, Surabhi Kumari, Manasi Patwardhan, Shirish Karande, Puneet Agarwal

Few-Shot and Zero-Shot Learning for Historical Text Normalization

Marcel Bollmann, Natalia Korchagina, Anders Søgaard

Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention

Avik Ray, Yilin Shen, Hongxia Jin

Empirical Evaluation of Active Learning Techniques for Neural MT

Xiangkai Zeng, Sarthak Garg, Rajen Chatterjee, Udhyakumar Nallasamy, Matthias Paulik

Domain Adaptation with BERT-based Domain Classification and Data Selection

Xiaofei Ma, Peng Xu, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

Deep Bidirectional Transformers for Relation Extraction without Supervision

Yannis Papanikolaou, Ian Roberts, Andrea Pierleoni

Cross-lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence Mining

Xiaoman Pan, Thamme Gowda, Heng Ji, Jonathan May, Scott Miller

BERT is Not an Interlingua and the Bias of Tokenization

Jasdeep Singh, Bryan McCann, Richard Socher, Caiming Xiong

Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning

Seth Ebner, Felicity Wang, Benjamin Van Durme

Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models

Jeroen Van Hautte, Guy Emerson, Marek Rei

A logical-based corpus for cross-lingual evaluation

Felipe Salvatore, Marcelo Finger, Roberto Hirata Jr

A Comparative Analysis of Unsupervised Language Adaptation Methods

Gil Rocha, Henrique Lopes Cardoso

A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification

Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Wlliam Campbell

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)

Colin Cherry, Greg Durrett, George Foster, Reza Haffari, Shahram Khadivi

How Pre-trained Word Representations Capture Commonsense Physical Comparisons

Pranav Goel, Shi Feng, Jordan Boyd-Graber

Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text

Ian Porada, Kaheer Suleman, Jackie Chi Kit CHEUNG

Diversity-aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction

Hirokazu Kiyomaru, Kazumasa Omura, Yugo Murawaki, Daisuke Kawahara, Sadao Kurohashi

Commonsense inference in human-robot communication

Aliaksandr Huminski, Yan Bin Ng, Kenneth Kwok, Francis Bond

BLCU-NLP at COIN-Shared Task1: Stagewise Fine-tuning BERT for Commonsense Inference in Everyday Narrations

Chunhua Liu, Dong Yu

Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks

Xiepeng Li, Zhexi Zhang, Wei Zhu, Zheng Li, Yuan Ni

Jeff Da at COIN - Shared Task: BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge

Jeff Da

IIT-KGP at COIN 2019: Using pre-trained Language Models for modeling Machine Comprehension

Prakhar Sharma, Sumegh Roychowdhury

KARNA at COIN Shared Task 1: Bidirectional Encoder Representations from Transformers with relational knowledge for machine comprehension with common sense

Yash Jain, Chinmay Singh

Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report

Simon Ostermann, Sheng Zhang, Michael Roth, Peter Clark

Extracting Common Inference Patterns from Semi-Structured Explanations

Sebastian Thiem, Peter Jansen

Commonsense about Human Senses: Labeled Data Collection Processes

Ndapa Nakashole

When Choosing Plausible Alternatives, Clever Hans can be Clever

Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert

Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering

Kaixin Ma, Jonathan Francis, Quanyang Lu, Eric Nyberg, Alessandro Oltramari

A Hybrid Neural Network Model for Commonsense Reasoning

Pengcheng He, Xiaodong Liu, Weizhu Chen, Jianfeng Gao

Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations

Jeff Da, Jungo Kasai

Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing

Simon Ostermann, Sheng Zhang, Michael Roth, Peter Clark

CoSSAT: Code-Switched Speech Annotation Tool

Sanket Shah, Pratik Joshi, Sebastin Santy, Sunayana Sitaram

Computer Assisted Annotation of Tension Development in TED Talks through Crowdsourcing

Seungwon Yoon, Wonsuk Yang, Jong Park

Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation

Tamar Lavee, Lili Kotlerman, Matan Orbach, Yonatan Bilu, Michal Jacovi

A Dataset of Crowdsourced Word Sequences: Collections and Answer Aggregation for Ground Truth Creation

Jiyi Li, Fumiyo Fukumoto

Leveraging syntactic parsing to improve event annotation matching

Camiel Colruyt, Orphee De Clercq, Véronique Hoste

Word Familiarity Rate Estimation Using a Bayesian Linear Mixed Model

Masayuki Asahara

Dependency Tree Annotation with Mechanical Turk

Stephen Tratz

Proceedings of the First Workshop on Aggregating and Analysing Crowdsourced Annotations for NLP

Silviu Paun, Dirk Hovy

An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering

Shayne Longpre, Yi Lu, Zhucheng Tu, Chris DuBois