EMNLP 2018

1,049 papers

NICT’s Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task

Benjamin Marie, Rui Wang, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita

JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English

Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay

The JHU Machine Translation Systems for WMT 2018

Philipp Koehn, Kevin Duh, Brian Thompson

CUNI Submissions in WMT18

Tom Kocmi, Roman Sudarikov, Ondřej Bojar

Microsoft’s Submission to the WMT2018 News Translation Task: How I Learned to Stop Worrying and Love the Data

Marcin Junczys-Dowmunt

The MLLP-UPV German-English Machine Translation System for WMT18

Javier Iranzo-Sánchez, Pau Baquero-Arnal, Gonçal V. Garcés Díaz-Munío, Adrià Martínez-Villaronga, Jorge Civera

TencentFmRD Neural Machine Translation for WMT18

Bojie Hu, Ambyer Han, Shen Huang

The University of Edinburgh’s Submissions to the WMT18 News Translation Task

Barry Haddow, Nikolay Bogoychev, Denis Emelin, Ulrich Germann, Roman Grundkiewicz

The AFRL WMT18 Systems: Ensembling, Continuation and Combination

Jeremy Gwinnup, Tim Anderson, Grant Erdmann, Katherine Young

Cognate-aware morphological segmentation for multilingual neural translation

Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo

The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018

Miguel Graça, Yunsu Kim, Julian Schamper, Jiahui Geng, Hermann Ney

Alibaba’s Neural Machine Translation Systems for WMT18

Yongchao Deng, Shanbo Cheng, Jun Lu, Kai Song, Jingang Wang

Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings

Maksym Del, Andre Tättar, Mark Fishel

The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task

Noe Casas, Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa

Robust parfda Statistical Machine Translation Results

Ergun Biçici

An Empirical Study of Machine Translation for the Shared Task of WMT18

Chao Bei, Hao Zong, Yiming Wang, Baoyong Fan, Shiqi Li

Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets

Mariana Neves, Antonio Jimeno Yepes, Aurélie Névéol, Cristian Grozea, Amy Siu

Findings of the Third Shared Task on Multimodal Machine Translation

Loic Barrault, Fethi Bougares, Lucia Specia, Chiraag Lala, Desmond Elliott

Findings of the 2018 Conference on Machine Translation (WMT18)

Ondřej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham

Parameter Sharing Methods for Multilingual Self-Attentional Translation Models

Devendra Sachan, Graham Neubig

Input Combination Strategies for Multi-Source Transformer Decoder

Jindřich Libovický, Jindřich Helcl, David Mareček

Trivial Transfer Learning for Low-Resource Neural Machine Translation

Tom Kocmi, Ondřej Bojar

Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation

Zhong Zhou, Matthias Sperber, Alexander Waibel

Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods

Catarina Cruz Silva, Chao-Hong Liu, Alberto Poncelas, Andy Way

Correcting Length Bias in Neural Machine Translation

Kenton Murray, David Chiang

Simple Fusion: Return of the Language Model

Felix Stahlberg, James Cross, Veselin Stoyanov

Exploring gap filling as a cheaper alternative to reading comprehension questionnaires when evaluating machine translation for gisting

Mikel L. Forcada, Carolina Scarton, Lucia Specia, Barry Haddow, Alexandra Birch

A Call for Clarity in Reporting BLEU Scores

Matt Post

On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation

Tamer Alkhouli, Gabriel Bretschner, Hermann Ney

Effective Parallel Corpus Mining using Bilingual Sentence Embeddings

Mandy Guo, Qinlan Shen, Yinfei Yang, Heming Ge, Daniel Cer

Neural Machine Translation into Language Varieties

Surafel Melaku Lakew, Aliia Erofeeva, Marcello Federico

Using Monolingual Data in Neural Machine Translation: a Systematic Study

Franck Burlot, François Yvon

Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection

Wei Wang, Taro Watanabe, Macduff Hughes, Tetsuji Nakagawa, Ciprian Chelba

Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation

Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya D. McCarthy, Kevin Duh

Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation

Antonio Toral, Sheila Castilho, Ke Hu, Andy Way

Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations

Sameen Maruf, André F. T. Martins, Gholamreza Haffari

Improving Neural Language Models with Weight Norm Initialization and Regularization

Christian Herold, Yingbo Gao, Hermann Ney

A neural interlingua for multilingual machine translation

Yichao Lu, Phillip Keung, Faisal Ladhak, Vikas Bhardwaj, Shaonan Zhang

Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation

Nikolaos Pappas, Lesly Miculicich, James Henderson

A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation

Mathias Müller, Annette Rios, Elena Voita, Rico Sennrich

Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments

Dario Stojanovski, Alexander Fraser

Margita Šoštarić, Christian Hardmeier, Sara Stymne

An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation

Gongbo Tang, Rico Sennrich, Joakim Nivre

Neural Machine Translation of Logographic Language Using Sub-character Level Information

Longtu Zhang, Mamoru Komachi

Character-level Chinese-English Translation through ASCII Encoding

Nikola I. Nikolov, Yuhuang Hu, Mi Xue Tan, Richard H.R. Hahnloser

Scaling Neural Machine Translation

Myle Ott, Sergey Edunov, David Grangier, Michael Auli

Proceedings of the Third Conference on Machine Translation: Research Papers

Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham

UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models

Hassan Alhuzali, Mohamed Elaraby, Muhammad Abdul-Mageed

Arabizi sentiment analysis based on transliteration and automatic corpus annotation

Imane Guellil, Ahsan Adeel, Faical Azouaou, Fodil Benali, Ala-eddine Hachani

Predicting Adolescents’ Educational Track from Chat Messages on Dutch Social Media

Lisa Hilte, Walter Daelemans, Reinhild Vandekerckhove

Words Worth: Verbal Content and Hirability Impressions in YouTube Video Resumes

Skanda Muralidhar, Laurent Nguyen, Daniel Gatica-Perez

Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs

Nils Rethmeier, Marc Hübner, Leonhard Hennig

Super Characters: A Conversion from Sentiment Classification to Image Classification

Baohua Sun, Lin Yang, Patrick Dong, Wenhan Zhang, Jason Dong

Learning representations for sentiment classification using Multi-task framework

Hardik Meisheri, Harshad Khadilkar

Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training

Peng Xu, Andrea Madotto, Chien-Sheng Wu, Ji Ho Park, Pascale Fung

Homonym Detection For Humor Recognition In Short Text

Sven van den Beukel, Lora Aroyo

Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions

Gavin Abercrombie, Riza Theresa Batista-Navarro

EmojiGAN: learning emojis distributions with a generative model

Bogdan Mazoure, Thang Doan, Saibal Ray

What Makes You Stressed? Finding Reasons From Tweets

Reshmi Gopalakrishna Pillai, Mike Thelwall, Constantin Orasan

Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning

Viraj Salaka, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka

Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection

Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa, Isura Manchanayake, Malaka Walpola

Disney at IEST 2018: Predicting Emotions using an Ensemble

Wojciech Witon, Pierre Colombo, Ashutosh Modi, Mubbasir Kapadia

BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification

Vachagan Gratian, Marina Haid

EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions

Thomas Proisl, Philipp Heinrich, Besim Kabashi, Stefan Evert

USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection

Esteban Ríssola, Anastasia Giachanou, Fabio Crestani

UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network

Pavel Přibáň, Jiri Martinek

NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing

Samuel Pecar, Michal Farkas, Marian Simko, Peter Lacko, Maria Bielikova

DataSEARCH at IEST 2018: Multiple Word Embedding based Models for Implicit Emotion Classification of Tweets with Deep Learning

Yasas Senarath, Uthayasanker Thayasivam

HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets

WenTing Wang

EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets

Man Liu

SINAI at IEST 2018: Neural Encoding of Emotional External Knowledge for Emotion Classification

Flor Miriam Plaza-del-Arco, Eugenio Martínez-Cámara, Maite Martin, L. Alfonso Ureña- López

NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification

Qimin Zhou, Hao Wu

HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition

Behzad Naderalvojoud, Alaettin Ucan, Ebru Akcapinar Sezer

UTFPR at IEST 2018: Exploring Character-to-Word Composition for Emotion Analysis

Gustavo Paetzold

Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning

Ramit Sawhney, Prachi Manchanda, Puneet Mathur, Rajiv Shah, Raj Singh

Sentiment Expression Boundaries in Sentiment Polarity Classification

Rasoul Kaljahi, Jennifer Foster

Measuring Issue Ownership using Word Embeddings

Amaru Cuba Gyllensten, Magnus Sahlgren

Dual Memory Network Model for Biased Product Review Classification

Yunfei Long, Mingyu Ma, Qin Lu, Rong Xiang, Chu-Ren Huang

Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers

Artaches Ambartsoumian, Fred Popowich

The Role of Emotions in Native Language Identification

Ilia Markov, Vivi Nastase, Carlo Strapparava, Grigori Sidorov

Aspect Based Sentiment Analysis into the Wild

Caroline Brun, Vassilina Nikoulina

Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification

Tobias Daudert, Paul Buitelaar

Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings

Mats Byrkjeland, Frederik Gørvell de Lichtenberg, Björn Gambäck

Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis

Rong Xiang, Yunfei Long, Qin Lu, Dan Xiong, I-Hsuan Chen

Saying no but meaning yes: negation and sentiment analysis in Basque

Jon Alkorta, Koldo Gojenola, Mikel Iruskieta

Topic-Specific Sentiment Analysis Can Help Identify Political Ideology

Sumit Bhatia, Deepak P

Not Just Depressed: Bipolar Disorder Prediction on Reddit

Ivan Sekulic, Matej Gjurković, Jan Šnajder

Sentiment analysis under temporal shift

Jan Lukes, Anders Søgaard

NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification

Alexandra Chronopoulou, Aikaterini Margatina, Christos Baziotis, Alexandros Potamianos

IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations

Jorge Balazs, Edison Marrese-Taylor, Yutaka Matsuo

Amobee at IEST 2018: Transfer Learning from Language Models

Alon Rozental, Daniel Fleischer, Zohar Kelrich

IEST: WASSA-2018 Implicit Emotions Shared Task

Roman Klinger, Orphee De Clercq, Saif Mohammad, Alexandra Balahur

Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation

Emily Öhman, Kaisla Kajava, Jörg Tiedemann, Timo Honkela

Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings

Carl Saroufim, Akram Almatarky, Mohammad Abdel Hady

Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings

Yuqi Sun, Haoyue Shi, Junfeng Hu

Deep contextualized word representations for detecting sarcasm and irony

Suzana Ilic, Edison Marrese-Taylor, Jorge Balazs, Yutaka Matsuo

Identifying Affective Events and the Reasons for their Polarity

Ellen Riloff

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

Alexandra Balahur, Saif M. Mohammad, Véronique Hoste, Roman Klinger

The Coptic Universal Dependency Treebank

Amir Zeldes, Mitchell Abrams