EMNLP 2018

1,049 papers

Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning

Xiang Yu, Ngoc Thang Vu, Jonas Kuhn

Extended and Enhanced Polish Dependency Bank in Universal Dependencies Format

Alina Wróblewska

Transition-based Parsing with Lighter Feed-Forward Networks

David Vilares, Carlos Gómez-Rodríguez

Toward Universal Dependencies for Shipibo-Konibo

Alonso Vasquez, Renzo Ego Aguirre, Candy Angulo, John Miller, Claudia Villanueva

Multi-source synthetic treebank creation for improved cross-lingual dependency parsing

Francis Tyers, Mariya Sheyanova, Aleksandra Martynova, Pavel Stepachev, Konstantin Vinogorodskiy

The Hebrew Universal Dependency Treebank: Past Present and Future

Shoval Sade, Amit Seker, Reut Tsarfaty

The First Komi-Zyrian Universal Dependencies Treebanks

Niko Partanen, Rogier Blokland, KyungTae Lim, Thierry Poibeau, Michael Rießler

UD-Japanese BCCWJ: Universal Dependencies Annotation for the Balanced Corpus of Contemporary Written Japanese

Mai Omura, Masayuki Asahara

Enhancing Universal Dependencies for Korean

Youngbin Noh, Jiyoon Han, Tae Hwan Oh, Hansaem Kim

Enhancing Universal Dependency Treebanks: A Case Study

Joakim Nivre, Paola Marongiu, Filip Ginter, Jenna Kanerva, Simonetta Montemagni

Marrying Universal Dependencies and Universal Morphology

Arya D. McCarthy, Miikka Silfverberg, Ryan Cotterell, Mans Hulden, David Yarowsky

Investigating NP-Chunking with Universal Dependencies for English

Ophélie Lacroix

Coordinate Structures in Universal Dependencies for Head-final Languages

Hiroshi Kanayama, Na-Rae Han, Masayuki Asahara, Jena D. Hwang, Yusuke Miyao

SUD or Surface-Syntactic Universal Dependencies: An annotation scheme near-isomorphic to UD

Kim Gerdes, Bruno Guillaume, Sylvain Kahane, Guy Perrier

Integration complexity and the order of cosisters

William Dyer

Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions

Kira Droganova, Filip Ginter, Jenna Kanerva, Daniel Zeman

Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing

Kaja Dobrovoljc, Matej Martinc

Challenges in Converting the Index Thomisticus Treebank into Universal Dependencies

Flavio Massimiliano Cecchini, Marco Passarotti, Paola Marongiu, Daniel Zeman

Expletives in Universal Dependency Treebanks

Gosse Bouma, Jan Hajic, Dag Haug, Joakim Nivre, Per Erik Solberg

Using Universal Dependencies in cross-linguistic complexity research

Aleksandrs Berdicevskis, Çağrı Çöltekin, Katharina Ehret, Kilu von Prince, Daniel Ross

Assessing the Impact of Incremental Error Detection and Correction. A Case Study on the Italian Universal Dependency Treebank

Chiara Alzetta, Felice Dell’Orletta, Simonetta Montemagni, Maria Simi, Giulia Venturi

Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)

Marie-Catherine de Marneffe, Teresa Lynn, Sebastian Schuster

Learning to Summarize Radiology Findings

Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz

Evaluation of a Sequence Tagging Tool for Biomedical Texts

Julien Tourille, Matthieu Doutreligne, Olivier Ferret, Aurélie Névéol, Nicolas Paris

Time Expressions in Mental Health Records for Symptom Onset Extraction

Natalia Viani, Lucia Yin, Joyce Kam, Ayunni Alawi, André Bittar

Listwise temporal ordering of events in clinical notes

Serena Jeblee, Graeme Hirst

Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction

CHEN LIN, Timothy Miller, Dmitriy Dligach, Hadi Amiri, Steven Bethard

In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition

Golnar Sheikhshabbafghi, Inanc Birol, Anoop Sarkar

Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction

Joël Legrand, Yannick Toussaint, Chedy Raïssi, Adrien Coulet

Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks

Ivan Girardi, Pengfei Ji, An-phi Nguyen, Nora Hollenstein, Adam Ivankay

Analysis of Risk Factor Domains in Psychosis Patient Health Records

Eben Holderness, Nicholas Miller, Kirsten Bolton, Philip Cawkwell, Marie Meteer

CAS: French Corpus with Clinical Cases

Natalia Grabar, Vincent Claveau, Clément Dalloux

Iterative development of family history annotation guidelines using a synthetic corpus of clinical text

Taraka Rama, Pål Brekke, Øystein Nytrø, Lilja Øvrelid

Automatically Detecting the Position and Type of Psychiatric Evaluation Report Sections

Deya Banisakher, Naphtali Rishe, Mark A. Finlayson

Evaluation of a Prototype System that Automatically Assigns Subject Headings to Nursing Narratives Using Recurrent Neural Network

Hans Moen, Kai Hakala, Laura-Maria Peltonen, Henry Suhonen, Petri Loukasmäki

Identification of Parallel Sentences in Comparable Monolingual Corpora from Different Registers

Rémi Cardon, Natalia Grabar

Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study

Drahomira Herrmannova, Steven Young, Robert Patton, Christopher Stahl, Nicole Kleinstreuer

De-identifying Free Text of Japanese Dummy Electronic Health Records

Kohei Kajiyama, Hiromasa Horiguchi, Takashi Okumura, Mizuki Morita, Yoshinobu Kano

Investigating the Challenges of Temporal Relation Extraction from Clinical Text

Diana Galvan, Naoaki Okazaki, Koji Matsuda, Kentaro Inui

Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy

Lina M. Rojas-Barahona, Bo-Hsiang Tseng, Yinpei Dai, Clare Mansfield, Osman Ramadan

Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition

Zenan Zhai, Dat Quoc Nguyen, Karin Verspoor

Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data

Mandeep Kaur, Diego Molla

Revisiting neural relation classification in clinical notes with external information

Simon Suster, Madhumita Sushil, Walter Daelemans

Treatment Side Effect Prediction from Online User-generated Content

Van Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder

Detecting Diabetes Risk from Social Media Activity

Dane Bell, Egoitz Laparra, Aditya Kousik, Terron Ishihara, Mihai Surdeanu

Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis

Alberto Lavelli, Anne-Lyse Minard, Fabio Rinaldi

Using Spoken Word Posterior Features in Neural Machine Translation

Kaho Osamura, Takatomo Kano, Sakriani Sakti, Katsuhito Sudoh, Satoshi Nakamura

Multi-paraphrase Augmentation to Leverage Neural Caption Translation

Johanes Effendi, Sakriani Sakti, Katsuhito Sudoh, Satoshi Nakamura

Data Selection with Feature Decay Algorithms Using an Approximated Target Side

Alberto Poncelas, Gideon Maillette de Buy Wenniger, Andy Way

Learning to Segment Inputs for NMT Favors Character-Level Processing

Julia Kreutzer, Artem Sokolov

Adapting Multilingual NMT to Extremely Low Resource Languages FBK’s Participation in the Basque-English Low-Resource MT Task, IWSLT 2018

Surafel M. Lakew, Marcello Federico

The JHU/KyotoU Speech Translation System for IWSLT 2018

Hirofumi Inaguma, Xuan Zhang, Zhiqi Wang, Adithya Renduchintala, Shinji Watanabe

Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018

Mattia Antonino Di Gangi, Roberto Dessi, Roldano Cattoni, Matteo Negri, Marco Turchi

CUNI Basque-to-English Submission in IWSLT18

Tom Kocmi, Dušan Variš, Ondřej Bojar

Alibaba Speech Translation Systems for IWSLT 2018

Nguyen Bach, Hongjie Chen, Kai Fan, Cheung-Chi Leung, Bo Li

KIT’s IWSLT 2018 SLT Translation System

Matthias Sperber, Ngoc-Quan Pham, Thai-Son Nguyen, Jan Niehues, Markus Müller

The AFRL IWSLT 2018 Systems: What Worked, What Didn’t

Brian Ore, Eric Hansen, Katherine Young, Grant Erdmann, Jeremy Gwinnup

Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task

Philip Williams, Marcin Chochowski, Pawel Przybysz, Rico Sennrich, Barry Haddow

The Sogou-TIIC Speech Translation System for IWSLT 2018

Yuguang Wang, Liangliang Shi, Linyu Wei, Weifeng Zhu, Jinkun Chen

Neural Speech Translation at AppTek

Evgeny Matusov, Patrick Wilken, Parnia Bahar, Julian Schamper, Pavel Golik

Prompsit’s Submission to the IWSLT 2018 Low Resource Machine Translation Task

Víctor M. Sánchez-Cartagena

The MeMAD Submission to the IWSLT 2018 Speech Translation Task

Umut Sulubacak, Jörg Tiedemann, Aku Rouhe, Stig-ArneGrönroos, Mikko Kurimo

The University of Helsinki submissions to the IWSLT 2018 low-resource translation task

Yves Scherrer

The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task

Alberto Poncelas, Andy Way, Kepa Sarasola

The USTC-NEL Speech Translation system at IWSLT 2018

Dan Liu, Junhua Liu, Wu Guo, Shifu Xiong, Zhiqiang Ma

Machine Translation Human Evaluation: an investigation of evaluation based on Post-Editing and its relation with Direct Assessment

Luisa Bentivogli, Mauro Cettolo, Marcello Federico, Christian Federmann

Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary

Surafel M. Lakew, Aliia Erofeeva, Matteo Negri, Marcello Federico, Marco Turchi

Multi-Source Neural Machine Translation with Data Augmentation

Yuta Nishimura, Katsuhito Sudoh, Graham Neubig, Satoshi Nakamura

A Machine Translation Approach for Modernizing Historical Documents Using Backtranslation

Miguel Domingo, Francisco Casacuberta

Word-based Domain Adaptation for Neural Machine Translation

Shen Yan, Leonard Dahlmann, Pavel Petrushkov, Sanjika Hewavitharana, Shahram Khadivi

Analyzing Knowledge Distillation in Neural Machine Translation

Dakun Zhang, Josep Crego, Jean Senellart

Word Rewarding for Adequate Neural Machine Translation

Yuto Takebayashi, Chu Chenhui, Yuki Arase, Masaaki Nagata

Unsupervised Parallel Sentence Extraction from Comparable Corpora

Viktor Hangya, Fabienne Braune, Yuliya Kalasouskaya, Alexander Fraser

The IWSLT 2018 Evaluation Campaign

Jan Niehues, Rolando Cattoni, Sebastian Stüker, Mauro Cettolo, Marco Turchi

Ontology-Based Retrieval & Neural Approaches for BioASQ Ideal Answer Generation

Ashwin Naresh Kumar, Harini Kesavamoorthy, Madhura Das, Pramati Kalwad, Khyathi Chandu

An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.

Sanjay Kamath, Brigitte Grau, Yue Ma

UNCC QA: Biomedical Question Answering system

Abhishek Bhandwaldar, Wlodek Zadrozny

Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions

Yutong Li, Nicholas Gekakis, Qiuze Wu, Boyue Li, Khyathi Chandu

AttentionMeSH: Simple, Effective and Interpretable Automatic MeSH Indexer

Qiao Jin, Bhuwan Dhingra, William Cohen, Xinghua Lu

MindLab Neural Network Approach at BioASQ 6B

Andrés Rosso-Mateus, Fabio A. González, Manuel Montes-y-Gómez

AUEB at BioASQ 6: Document and Snippet Retrieval

George Brokos, Polyvios Liosis, Ryan Mcdonald, Dimitris Pappas, Ion Androutsopoulos

Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation

Diego Molla

Semantic role labeling tools for biomedical question answering: a study of selected tools on the BioASQ datasets

Fabian Eckert, Mariana Neves

Results of the sixth edition of the BioASQ Challenge

Anastasios Nentidis, Anastasia Krithara, Konstantinos Bougiatiotis, Georgios Paliouras, Ioannis Kakadiaris

Proceedings of the 6th BioASQ Workshop A challenge on large-scale biomedical semantic indexing and question answering

Ioannis A. Kakadiaris, George Paliouras, Anastasia Krithara

More or less controlled elicitation of argumentative text: Enlarging a microtext corpus via crowdsourcing

Maria Skeppstedt, Andreas Peldszus, Manfred Stede

Cross-Lingual Argumentative Relation Identification: from English to Portuguese

Gil Rocha, Christian Stab, Henrique Lopes Cardoso, Iryna Gurevych

PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection

Steffen Eger, Andreas Rücklé, Iryna Gurevych

Dave the debater: a retrieval-based and generative argumentative dialogue agent

Dieu Thu Le, Cam-Tu Nguyen, Kim Anh Nguyen

Using context to identify the language of face-saving

Nona Naderi, Graeme Hirst

Proposed Method for Annotation of Scientific Arguments in Terms of Semantic Relations and Argument Schemes

Nancy Green

Incorporating Topic Aspects for Online Comment Convincingness Evaluation

Yunfan Gu, zhongyu wei, Maoran Xu, Hao Fu, Yang Liu

Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning

Teresa Botschen, Daniil Sorokin, Iryna Gurevych

Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates

Paul Reisert, Naoya Inoue, Tatsuki Kuribayashi, Kentaro Inui

Evidence Types, Credibility Factors, and Patterns or Soft Rules for Weighing Conflicting Evidence: Argument Mining in the Context of Legal Rules Governing Evidence Assessment

Vern R. Walker, Dina Foerster, Julia Monica Ponce, Matthew Rosen

Argument Component Classification for Classroom Discussions

Luca Lugini, Diane Litman

Annotating Claims in the Vaccination Debate

Benedetta Torsi, Roser Morante

An Argument-Annotated Corpus of Scientific Publications

Anne Lauscher, Goran Glavaš, Simone Paolo Ponzetto

Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining

Marco Passon, Marco Lippi, Giuseppe Serra, Carlo Tasso

Evidence Type Classification in Randomized Controlled Trials

Tobias Mayer, Elena Cabrio, Serena Villata