EMNLP 2017

353 papers

Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision

Leyi Wang, Rui Xia

Identifying Humor in Reviews using Background Text Sources

Alex Morales, ChengXiang Zhai

Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal

Aniruddha Ghosh, Tony Veale

Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews

Lahari Poddar, Wynne Hsu, Mong Li Lee

A Cognition Based Attention Model for Sentiment Analysis

Yunfei Long, Qin Lu, Rong Xiang, Minglei Li, Chu-Ren Huang

Recurrent Attention Network on Memory for Aspect Sentiment Analysis

Peng Chen, Zhongqian Sun, Lidong Bing, Wei Yang

Why ADAGRAD Fails for Online Topic Modeling

You Lu, Jeffrey Lund, Jordan Boyd-Graber

Sparse Communication for Distributed Gradient Descent

Alham Fikri Aji, Kenneth Heafield

Learning the Structure of Variable-Order CRFs: a finite-state perspective

Thomas Lavergne, François Yvon

Piecewise Latent Variables for Neural Variational Text Processing

Iulian Vlad Serban, Alexander G. Ororbia, Joelle Pineau, Aaron Courville

A causal framework for explaining the predictions of black-box sequence-to-sequence models

David Alvarez-Melis, Tommi Jaakkola

Rotated Word Vector Representations and their Interpretability

Sungjoon Park, JinYeong Bak, Alice Oh

Efficient Attention using a Fixed-Size Memory Representation

Denny Britz, Melody Guan, Minh-Thang Luong

Unsupervised Pretraining for Sequence to Sequence Learning

Prajit Ramachandran, Peter Liu, Quoc Le

Learning to select data for transfer learning with Bayesian Optimization

Sebastian Ruder, Barbara Plank

Incremental Skip-gram Model with Negative Sampling

Nobuhiro Kaji, Hayato Kobayashi

Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers

André F. T. Martins, Julia Kreutzer

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Nils Reimers, Iryna Gurevych

MUSE: Modularizing Unsupervised Sense Embeddings

Guang-He Lee, Yun-Nung Chen

Word Re-Embedding via Manifold Dimensionality Retention

Souleiman Hasan, Edward Curry

VecShare: A Framework for Sharing Word Representation Vectors

Jared Fernandez, Zhaocheng Yu, Doug Downey

Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding

Joseph Sanu, MingBin Xu, Hui Jiang, Quan Liu

High-risk learning: acquiring new word vectors from tiny data

Aurélie Herbelot, Marco Baroni

Exploiting Word Internal Structures for Generic Chinese Sentence Representation

Shaonan Wang, Jiajun Zhang, Chengqing Zong

Exploiting Morphological Regularities in Distributional Word Representations

Arihant Gupta, Syed Sarfaraz Akhtar, Avijit Vajpayee, Arjit Srivastava, Madan Gopal Jhanwar

Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components

Jinxing Yu, Xun Jian, Hao Xin, Yangqiu Song

Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext

John Wieting, Jonathan Mallinson, Kevin Gimpel

Learning Chinese Word Representations From Glyphs Of Characters

Tzu-Ray Su, Hung-yi Lee

Dict2vec : Learning Word Embeddings using Lexical Dictionaries

Julien Tissier, Christophe Gravier, Amaury Habrard

Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics

Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du

Hierarchical Embeddings for Hypernymy Detection and Directionality

Kim Anh Nguyen, Maximilian Köper, Sabine Schulte im Walde, Ngoc Thang Vu

A Mention-Ranking Model for Abstract Anaphora Resolution

Ana Marasović, Leo Born, Juri Opitz, Anette Frank

Affinity-Preserving Random Walk for Multi-Document Summarization

Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang

Neural Net Models of Open-domain Discourse Coherence

Jiwei Li, Dan Jurafsky

End-to-end Neural Coreference Resolution

Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer

Obj2Text: Generating Visually Descriptive Language from Object Layouts

Xuwang Yin, Vicente Ordonez

Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks

Afshin Rahimi, Timothy Baldwin, Trevor Cohn

Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space

Nikita Kitaev, Dan Klein

Towards Decoding as Continuous Optimisation in Neural Machine Translation

Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn

Neural Machine Translation with Word Predictions

Rongxiang Weng, Shujian Huang, Zaixiang Zheng, Xinyu Dai, Jiajun Chen

Neural Machine Translation with Source-Side Latent Graph Parsing

Kazuma Hashimoto, Yoshimasa Tsuruoka

Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages

Ehsaneddin Asgari, Hinrich Schütze

Mimicking Word Embeddings using Subword RNNs

Yuval Pinter, Robert Guthrie, Jacob Eisenstein

Universal Semantic Parsing

Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata

Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training Data

Tommaso Pasini, Roberto Navigli

Entity Linking for Queries by Searching Wikipedia Sentences

Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou

Integrating Order Information and Event Relation for Script Event Prediction

Zhongqing Wang, Yue Zhang, Ching-Yun Chang

Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach

Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui

Position-aware Attention and Supervised Data Improve Slot Filling

Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning

Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs

Junjie Cao, Sheng Huang, Weiwei Sun, Xiaojun Wan

Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set

Tianze Shi, Liang Huang, Lillian Lee

Monolingual Phrase Alignment on Parse Forests

Yuki Arase, Junichi Tsujii

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Martha Palmer, Rebecca Hwa, Sebastian Riedel