EMNLP 2019

1,120 papers

Predicting Algorithm Classes for Programming Word Problems

Vinayak Athavale, Aayush Naik, Rajas Vanjape, Manish Shrivastava

Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers

Hanh Nguyen, Dirk Hovy

Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning

Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal

Tkol, Httt, and r/radiohead: High Affinity Terms in Reddit Communities

Abhinav Bhandari, Caitrin Armstrong

Character-Based Models for Adversarial Phone Extraction: Preventing Human Sex Trafficking

Nathanael Chambers, Timothy Forman, Catherine Griswold, Kevin Lu, Yogaish Khastgir

Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation

Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis

Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam

Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1

Maria Nǎdejde, Joel Tetreault

Multilingual Whispers: Generating Paraphrases with Translation

Christian Federmann, Oussama Elachqar, Chris Quirk

Formality Style Transfer for Noisy, User-generated Conversations: Extracting Labeled, Parallel Data from Unlabeled Corpora

Isak Czeresnia Etinger, Alan W Black

Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health

Giannis Karamanolakis, Daniel Hsu, Luis Gravano

Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)

Wei Xu, Alan Ritter, Tim Baldwin, Afshin Rahimi

Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation

Ali Fadel, Ibraheem Tuffaha, Bara’ Al-Jawarneh, Mahmoud Al-Ayyoub

Overcoming the Rare Word Problem for low-resource language pairs in Neural Machine Translation

Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen, Le-Minh Nguyen

Sentiment Aware Neural Machine Translation

Chenglei Si, Kui Wu, Ai Ti Aw, Min-Yen Kan

UCSYNLP-Lab Machine Translation Systems for WAT 2019

Yimon ShweSin, Win Pa Pa, KhinMar Soe

SYSTRAN @ WAT 2019: Russian-Japanese News Commentary task

Jitao Xu, TuAnh Nguyen, MinhQuang Pham, Josep Crego, Jean Senellart

WAT2019: English-Hindi Translation on Hindi Visual Genome Dataset

Loitongbam Sanayai Meetei, Thoudam Doren Singh, Sivaji Bandyopadhyay

Idiap NMT System for WAT 2019 Multimodal Translation Task

Shantipriya Parida, Ondřej Bojar, Petr Motlicek

NLPRL at WAT2019: Transformer-based Tamil – English Indic Task Neural Machine Translation System

Amit Kumar, Anil Kumar Singh

Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019

Aizhan Imankulova, Masahiro Kaneko, Mamoru Komachi

Our Neural Machine Translation Systems for WAT 2019

Wei Yang, Jun Ogata

Sarah’s Participation in WAT 2019

Raymond Hendy Susanto, Ohnmar Htun, Liling Tan

Supervised neural machine translation based on data augmentation and improved training & inference process

Yixuan Tong, Liang Liang, Boyan Liu, Shanshan Jiang, Bin Dong

Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019

Kenji Imamura, Eiichiro Sumita

LTRC-MT Simple & Effective Hindi-English Neural Machine Translation Systems at WAT 2019

Vikrant Goyal, Dipti Misra Sharma

CVIT’s submissions to WAT-2019

Jerin Philip, Shashank Siripragada, Upendra Kumar, Vinay Namboodiri, C V Jawahar

Combining Translation Memory with Neural Machine Translation

Akiko Eriguchi, Spencer Rarrick, Hitokazu Matsushita

Facebook AI’s WAT19 Myanmar-English Translation Task Submission

Peng-Jen Chen, Jiajun Shen, Matthew Le, Vishrav Chaudhary, Ahmed El-Kishky

Neural Machine Translation System using a Content-equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019

Hideya Mino, Hitoshi Ito, Isao Goto, Ichiro Yamada, Hideki Tanaka

NTT Neural Machine Translation Systems at WAT 2019

Makoto Morishita, Jun Suzuki, Masaaki Nagata

UCSMNLP: Statistical Machine Translation for WAT 2019

Aye Thida, Nway Nway Han, Sheinn Thawtar Oo, Khin Thet Htar

English-Myanmar Supervised and Unsupervised NMT: NICT’s Machine Translation Systems at WAT-2019

Rui Wang, Haipeng Sun, Kehai Chen, Chenchen Ding, Masao Utiyama

KNU-HYUNDAI’s NMT system for Scientific Paper and Patent Tasks onWAT 2019

Cheoneum Park, Young-Jun Jung, Kihoon Kim, Geonyeong Kim, Jae-Won Jeon

NICT’s participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT

Raj Dabre, Eiichiro Sumita

Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English

Benjamin Marie, Hour Kaing, Aye Myat Mon, Chenchen Ding, Atsushi Fujita

English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning

Sahinur Rahman Laskar, Rohit Pratap Singh, Partha Pakray, Sivaji Bandyopadhyay

Designing the Business Conversation Corpus

Matīss Rikters, Ryokan Ri, Tong Li, Toshiaki Nakazawa

Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation

Weston Feely, Eva Hasler, Adrià de Gispert

Compact and Robust Models for Japanese-English Character-level Machine Translation

Jinan Dai, Kazunori Yamaguchi

Overview of the 6th Workshop on Asian Translation

Toshiaki Nakazawa, Nobushige Doi, Shohei Higashiyama, Chenchen Ding, Raj Dabre

Proceedings of the 6th Workshop on Asian Translation

Toshiaki Nakazawa, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Nobushige Doi

A Constituency Parsing Tree based Method for Relation Extraction from Abstracts of Scholarly Publications

Ming Jiang, Jana Diesner

DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings

Viktor Schlegel, Andre Freitas

Node Embeddings for Graph Merging: Case of Knowledge Graph Construction

Ida Szubert, Mark Steedman

Reasoning Over Paths via Knowledge Base Completion

Saatviga Sudhahar, Andrea Pierleoni, Ian Roberts

Graph Enhanced Cross-Domain Text-to-SQL Generation

Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu

Graph-Based Semi-Supervised Learning for Natural Language Understanding

Zimeng Qiu, Eunah Cho, Xiaochun Ma, William Campbell

Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method

Qingkai Zeng, Mengxia Yu, Wenhao Yu, Jinjun Xiong, Yiyu Shi

Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification

Vaibhav, Raghuram Mandyam Annasamy, Eduard Hovy

Evaluating Research Novelty Detection: Counterfactual Approaches

Reinald Kim Amplayo, Seung-won Hwang, Min Song

Joint Semantic and Distributional Word Representations with Multi-Graph Embeddings

Pierre Daix-Moreux, Matthias Gallé

Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference

Rajarshi Das, Ameya Godbole, Manzil Zaheer, Shehzaad Dhuliawala, Andrew McCallum

Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions

Jennifer D’Souza, Isaiah Onando Mulang’, Sören Auer

Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation

Yew Ken Chia, Sam Witteveen, Martin Andrews

ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking

Pratyay Banerjee

TextGraphs 2019 Shared Task on Multi-Hop Inference for Explanation Regeneration

Peter Jansen, Dmitry Ustalov

Layerwise Relevance Visualization in Convolutional Text Graph Classifiers

Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig

Essentia: Mining Domain-specific Paraphrases with Word-Alignment Graphs

Danni Ma, Chen Chen, Behzad Golshan, Wang-Chiew Tan

Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks

Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, Andre Freitas

Using Graphs for Word Embedding with Enhanced Semantic Relations

Matan Zuckerman, Mark Last

Neural Speech Translation using Lattice Transformations and Graph Networks

Daniel Beck, Trevor Cohn, Gholamreza Haffari

Scalable graph-based method for individual named entity identification

Sammy Khalife, Michalis Vazirgiannis

Relation Prediction for Unseen-Entities Using Entity-Word Graphs

Yuki Tagawa, Motoki Taniguchi, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma

Transfer in Deep Reinforcement Learning Using Knowledge Graphs

Prithviraj Ammanabrolu, Mark Riedl

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)

Dmitry Ustalov, Swapna Somasundaran, Peter Jansen, Goran Glavaš, Martin Riedl

Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection

Giovanni Da San Martino, Alberto Barrón-Cedeño, Preslav Nakov

Synthetic Propaganda Embeddings To Train A Linear Projection

Adam Ek, Mehdi Ghanimifard

Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model

George-Alexandru Vlad, Mircea-Adrian Tanase, Cristian Onose, Dumitru-Clementin Cercel

NSIT@NLP4IF-2019: Propaganda Detection from News Articles using Transfer Learning

Kartik Aggarwal, Anubhav Sadana

Pretrained Ensemble Learning for Fine-Grained Propaganda Detection

Ali Fadel, Ibraheem Tuffaha, Mahmoud Al-Ayyoub

Understanding BERT performance in propaganda analysis

Yiqing Hua

Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data

Harish Tayyar Madabushi, Elena Kochkina, Michael Castelle

Detection of Propaganda Using Logistic Regression

Jinfen Li, Zhihao Ye, Lu Xiao

JUSTDeep at NLP4IF 2019 Task 1: Propaganda Detection using Ensemble Deep Learning Models

Hani Al-Omari, Malak Abdullah, Ola Altiti, Samira Shaikh

On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings

André Ferreira Cruz, Gil Rocha, Henrique Lopes Cardoso

Divisive Language and Propaganda Detection using Multi-head Attention Transformers with Deep Learning BERT-based Language Models for Binary Classification

Norman Mapes, Anna White, Radhika Medury, Sumeet Dua

Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels

Tariq Alhindi, Jonas Pfeiffer, Smaranda Muresan

Neural Architectures for Fine-Grained Propaganda Detection in News

Pankaj Gupta, Khushbu Saxena, Usama Yaseen, Thomas Runkler, Hinrich Schütze

Fine-Grained Propaganda Detection with Fine-Tuned BERT

Shehel Yoosuf, Yin Yang

CAUnLP at NLP4IF 2019 Shared Task: Context-Dependent BERT for Sentence-Level Propaganda Detection

Wenjun Hou, Ying Chen

Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition

Wei-Fan Chen, Khalid Al Khatib, Matthias Hagen, Henning Wachsmuth, Benno Stein

Rumor Detection on Social Media: Datasets, Methods and Opportunities

Quanzhi Li, Qiong Zhang, Luo Si, Yingchi Liu

Generating Sentential Arguments from Diverse Perspectives on Controversial Topic

ChaeHun Park, Wonsuk Yang, Jong Park

Mapping (Dis-)Information Flow about the MH17 Plane Crash

Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein

Calls to Action on Social Media: Detection, Social Impact, and Censorship Potential

Anna Rogers, Olga Kovaleva, Anna Rumshisky

Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues

Or Levi, Pedram Hosseini, Mona Diab, David Broniatowski

How Many Users Are Enough? Exploring Semi-Supervision and Stylometric Features to Uncover a Russian Troll Farm

Nayeema Nasrin, Kim-Kwang Raymond Choo, Myung Ko, Anthony Rios

Detecting context abusiveness using hierarchical deep learning

Ju-Hyoung Lee, Jun-U Park, Jeong-Won Cha, Yo-Sub Han

Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics

Meisam Navaki Arefi, Rajkumar Pandi, Michael Carl Tschantz, Jedidiah R. Crandall, King-wa Fu

Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda

Anna Feldman, Giovanni Da San Martino, Alberto Barrón-Cedeño, Chris Brew, Chris Leberknight

Efficiency through Auto-Sizing: Notre Dame NLP’s Submission to the WNGT 2019 Efficiency Task

Kenton Murray, Brian DuSell, David Chiang

Selecting, Planning, and Rewriting: A Modular Approach for Data-to-Document Generation and Translation

Lesly Miculicich, Marc Marone, Hany Hassan

From Research to Production and Back: Ludicrously Fast Neural Machine Translation

Young Jin Kim, Marcin Junczys-Dowmunt, Hany Hassan, Alham Fikri Aji, Kenneth Heafield

Naver Labs Europe’s Systems for the Document-Level Generation and Translation Task at WNGT 2019

Fahimeh Saleh, Alexandre Berard, Ioan Calapodescu, Laurent Besacier

University of Edinburgh’s submission to the Document-level Generation and Translation Shared Task

Ratish Puduppully, Jonathan Mallinson, Mirella Lapata

SYSTRAN @ WNGT 2019: DGT Task

Li Gong, Josep Crego, Jean Senellart

Monash University’s Submissions to the WNGT 2019 Document Translation Task

Sameen Maruf, Gholamreza Haffari

Transformer and seq2seq model for Paraphrase Generation

Elozino Egonmwan, Yllias Chali

Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation

Chan Young Park, Yulia Tsvetkov