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EMNLP 2019

1,120 papers

Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation

Kenton Murray, Jeffery Kinnison, Toan Q. Nguyen, Walter Scheirer, David Chiang

Interrogating the Explanatory Power of Attention in Neural Machine Translation

Pooya Moradi, Nishant Kambhatla, Anoop Sarkar

Paraphrasing with Large Language Models

Sam Witteveen, Martin Andrews

Mixed Multi-Head Self-Attention for Neural Machine Translation

Hongyi Cui, Shohei Iida, Po-Hsuan Hung, Takehito Utsuro, Masaaki Nagata

A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation

Gayatri Bhat, Sachin Kumar, Yulia Tsvetkov

Big Bidirectional Insertion Representations for Documents

Lala Li, William Chan

On the Importance of Word Boundaries in Character-level Neural Machine Translation

Duygu Ataman, Orhan Firat, Mattia A. Di Gangi, Marcello Federico, Alexandra Birch

Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation

Poorya Zaremoodi, Gholamreza Haffari

Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness

Alexandre Berard, Ioan Calapodescu, Marc Dymetman, Claude Roux, Jean-Luc Meunier

Generalization in Generation: A closer look at Exposure Bias

Florian Schmidt

Enhanced Transformer Model for Data-to-Text Generation

Li Gong, Josep Crego, Jean Senellart

Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer

Richard Yuanzhe Pang, Kevin Gimpel

Decomposing Textual Information For Style Transfer

Ivan P. Yamshchikov, Viacheslav Shibaev, Aleksander Nagaev, Jürgen Jost, Alexey Tikhonov

On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation

Victor Prokhorov, Ehsan Shareghi, Yingzhen Li, Mohammad Taher Pilehvar, Nigel Collier

On the use of BERT for Neural Machine Translation

Stéphane Clinchant, Kweon Woo Jung, Vassilina Nikoulina

Zero-Resource Neural Machine Translation with Monolingual Pivot Data

Anna Currey, Kenneth Heafield

Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents

Nikolaos Malandrakis, Minmin Shen, Anuj Goyal, Shuyang Gao, Abhishek Sethi

Making Asynchronous Stochastic Gradient Descent Work for Transformers

Alham Fikri Aji, Kenneth Heafield

Transformer-based Model for Single Documents Neural Summarization

Elozino Egonmwan, Yllias Chali

Domain Differential Adaptation for Neural Machine Translation

Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig

Generating Diverse Story Continuations with Controllable Semantics

Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel

Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models

Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett, Sungjin Lee

Recycling a Pre-trained BERT Encoder for Neural Machine Translation

Kenji Imamura, Eiichiro Sumita

Hello, It’s GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems

Paweł Budzianowski, Ivan Vulić

Findings of the Third Workshop on Neural Generation and Translation

Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew Finch

Proceedings of the 3rd Workshop on Neural Generation and Translation

Alexandra Birch, Andrew Finch, Hiroaki Hayashi, Ioannis Konstas, Thang Luong

Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text

Elena Sergeeva, Henghui Zhu, Amir Tahmasebi, Peter Szolovits

Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text

Matúš Falis, Maciej Pajak, Aneta Lisowska, Patrick Schrempf, Lucas Deckers

Recognizing UMLS Semantic Types with Deep Learning

Isar Nejadgholi, Kathleen C. Fraser, Berry de Bruijn, Muqun Li, Astha LaPlante

Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings

Denis Newman-Griffis, Eric Fosler-Lussier

Dilated LSTM with attention for Classification of Suicide Notes

Annika M Schoene, George Lacey, Alexander P Turner, Nina Dethlefs

Automatic rubric-based content grading for clinical notes

Wen-wai Yim, Ashley Mills, Harold Chun, Teresa Hashiguchi, Justin Yew

Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text

Hanna Berg, Taridzo Chomutare, Hercules Dalianis

Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation

Alexander Te-Wei Shieh, Yung-Sung Chuang, Shang-Yu Su, Yun-Nung Chen

Dreaddit: A Reddit Dataset for Stress Analysis in Social Media

Elsbeth Turcan, Kathy McKeown

What does the language of foods say about us?

Hoang Van, Ahmad Musa, Hang Chen, Stephen Kobourov, Mihai Surdeanu

Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction

Elena Álvarez-Mellado, Eben Holderness, Nicholas Miller, Fyonn Dhang, Philip Cawkwell

Biomedical Relation Classification by single and multiple source domain adaptation

Sinchani Chakraborty, Sudeshna Sarkar, Pawan Goyal, Mahanandeeshwar Gattu

Extracting relevant information from physician-patient dialogues for automated clinical note taking

Serena Jeblee, Faiza Khan Khattak, Noah Crampton, Muhammad Mamdani, Frank Rudzicz

Multi-Task, Multi-Channel, Multi-Input Learning for Mental Illness Detection using Social Media Text

Prasadith Kirinde Gamaarachchige, Diana Inkpen

Experiments with ad hoc ambiguous abbreviation expansion

Agnieszka Mykowiecka, Malgorzata Marciniak

Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding

Shang-Chi Tsai, Ting-Yun Chang, Yun-Nung Chen

BioReddit: Word Embeddings for User-Generated Biomedical NLP

Marco Basaldella, Nigel Collier

Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction

Diya Li, Heng Ji

On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning

Tuan Ngo Nguyen, Franck Dernoncourt, Thien Huu Nguyen

Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine

John-Jose Nunez, Giuseppe Carenini

Cross-document coreference: An approach to capturing coreference without context

Kristin Wright-Bettner, Martha Palmer, Guergana Savova, Piet de Groen, Timothy Miller

Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)

Eben Holderness, Antonio Jimeno Yepes, Alberto Lavelli, Anne-Lyse Minard, James Pustejovsky

Analysing concatenation approaches to document-level NMT in two different domains

Yves Scherrer, Jörg Tiedemann, Sharid Loáiciga

Context-aware Neural Machine Translation with Coreference Information

Takumi Ohtani, Hidetaka Kamigaito, Masaaki Nagata, Manabu Okumura

Data augmentation using back-translation for context-aware neural machine translation

Amane Sugiyama, Naoki Yoshinaga

When and Why is Document-level Context Useful in Neural Machine Translation?

Yunsu Kim, Duc Thanh Tran, Hermann Ney

Context-Aware Neural Machine Translation Decoding

Eva Martínez Garcia, Carles Creus, Cristina España-Bonet

Analysing Coreference in Transformer Outputs

Ekaterina Lapshinova-Koltunski, Cristina España-Bonet, Josef van Genabith

Proceedings of the Fourth Workshop on Discourse in Machine Translation (DiscoMT 2019)

Andrei Popescu-Belis, Sharid Loáiciga, Christian Hardmeier, Deyi Xiong

BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions

Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

RDoC Task at BioNLP-OST 2019

Mohammad Anani, Nazmul Kazi, Matthew Kuntz, Indika Kahanda

Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task

Thang Minh Ngo, Jenna Kanerva, Filip Ginter, Sampo Pyysalo

Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering

Hai-Long Trieu, Anh-Khoa Duong Nguyen, Nhung Nguyen, Makoto Miwa, Hiroya Takamura

UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition

Lenz Furrer, Joseph Cornelius, Fabio Rinaldi

CRAFT Shared Tasks 2019 Overview — Integrated Structure, Semantics, and Coreference

William Baumgartner, Michael Bada, Sampo Pyysalo, Manuel R. Ciosici, Negacy Hailu

Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature

Jihang Mao, Wanli Liu

Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs

Wuti Xiong, Fei Li, Ming Cheng, Hong Yu, Donghong Ji

BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes

Ilknur Karadeniz, Ömer Faruk Tuna, Arzucan Özgür

An ensemble CNN method for biomedical entity normalization

Pan Deng, Haipeng Chen, Mengyao Huang, Xiaowen Ruan, Liang Xu

Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019

Pankaj Gupta, Usama Yaseen, Hinrich Schütze

Bacteria Biotope at BioNLP Open Shared Tasks 2019

Robert Bossy, Louise Deléger, Estelle Chaix, Mouhamadou Ba, Claire Nédellec

Using Snomed to recognize and index chemical and drug mentions.

Pilar López Úbeda, Manuel Carlos Díaz Galiano, L. Alfonso Urena Lopez, Maite Martin

YNU-junyi in BioNLP-OST 2019: Using CNN-LSTM Model with Embeddings for SeeDev Binary Event Extraction

Junyi Li, Xiaobing Zhou, Yuhang Wu, Bin Wang

A Multi-Task Learning Framework for Extracting Bacteria Biotope Information

Qi Zhang, Chao Liu, Ying Chi, Xuansong Xie, Xiansheng Hua

Transfer Learning in Biomedical Named Entity Recognition: An Evaluation of BERT in the PharmaCoNER task

Cong Sun, Zhihao Yang

RACAI’s System at PharmaCoNER 2019

Radu Ion, Vasile Florian Păiș, Maria Mitrofan

Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture

Ashok Thillaisundaram, Theodosia Togia

DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature

Feifan Liu, Xiaoyu Zheng, Bo Wang, Catarina Kiefe

Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning

Dongfang Li, Ying Xiong, Baotian Hu, Hanyang Du, Buzhou Tang

An Overview of the Active Gene Annotation Corpus and the BioNLP OST 2019 AGAC Track Tasks

Yuxing Wang, Kaiyin Zhou, Mina Gachloo, Jingbo Xia

Biomedical Named Entity Recognition with Multilingual BERT

Kai Hakala, Sampo Pyysalo

A Neural Pipeline Approach for the PharmaCoNER Shared Task using Contextual Exhaustive Models

Mohammad Golam Sohrab, Minh Thang Pham, Makoto Miwa, Hiroya Takamura

Deep neural model with enhanced embeddings for pharmaceutical and chemical entities recognition in Spanish clinical text

Renzo Rivera, Paloma Martínez

A Deep Learning-Based System for PharmaCoNER

Ying Xiong, Yedan Shen, Yuanhang Huang, Shuai Chen, Buzhou Tang

NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection

Lukas Lange, Heike Adel, Jannik Strötgen

IxaMed at PharmacoNER Challenge 2019

Xabier Lahuerta, Iakes Goenaga, Koldo Gojenola, Aitziber Atutxa Salazar, Maite Oronoz

VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases

Víctor Suárez-Paniagua

When Specialization Helps: Using Pooled Contextualized Embeddings to Detect Chemical and Biomedical Entities in Spanish

Manuel Stoeckel, Wahed Hemati, Alexander Mehler

PharmaCoNER: Pharmacological Substances, Compounds and proteins Named Entity Recognition track

Aitor Gonzalez-Agirre, Montserrat Marimon, Ander Intxaurrondo, Obdulia Rabal, Marta Villegas

Proceedings of the 5th Workshop on BioNLP Open Shared Tasks

Kim Jin-Dong, Nédellec Claire, Bossy Robert, Deléger Louise

What’s Wrong with Hebrew NLP? And How to Make it Right

Reut Tsarfaty, Shoval Sadde, Stav Klein, Amit Seker

VizSeq: a visual analysis toolkit for text generation tasks

Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu

Visualizing Trends of Key Roles in News Articles

Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, Kai-Wei Chang

UER: An Open-Source Toolkit for Pre-training Models

Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu

TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners

Yi-Huei Lai, Jason Chang

TEASPN: Framework and Protocol for Integrated Writing Assistance Environments

Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui

Tanbih: Get To Know What You Are Reading

Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An

A System for Diacritizing Four Varieties of Arabic

Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, Mohamed Eldesouki, Younes Samih

A Summarization System for Scientific Documents

Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni

A Stylometry Toolkit for Latin Literature

Thomas J. Bolt, Jeffrey H. Flynt, Pramit Chaudhuri, Joseph P. Dexter

SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval

Fabian David Schmidt, Markus Dietsche, Simone Paolo Ponzetto, Goran Glavaš

Redcoat: A Collaborative Annotation Tool for Hierarchical Entity Typing

Michael Stewart, Wei Liu, Rachel Cardell-Oliver

PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules

Youngsoo Jang, Jongmin Lee, Jaeyoung Park, Kyeng-Hun Lee, Pierre Lison

PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking

Matthew Henderson, Ivan Vulić, Iñigo Casanueva, Paweł Budzianowski, Daniela Gerz