ACL 2016

390 papers

Set-Theoretic Alignment for Comparable Corpora

Thierry Etchegoyhen, Andoni Azpeitia

Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints

Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein

Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time

Silvio Cordeiro, Carlos Ramisch, Marco Idiart, Aline Villavicencio

Strategies for Training Large Vocabulary Neural Language Models

Wenlin Chen, David Grangier, Michael Auli

Semi-Supervised Learning for Neural Machine Translation

Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu

Cross-Lingual Morphological Tagging for Low-Resource Languages

Jan Buys, Jan A. Botha

N-gram language models for massively parallel devices

Nikolay Bogoychev, Adam Lopez

MUTT: Metric Unit TesTing for Language Generation Tasks

William Boag, Renan Campos, Kate Saenko, Anna Rumshisky

How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents

Anders Björkelund, Agnieszka Faleńska, Wolfgang Seeker, Jonas Kuhn

Mining Paraphrasal Typed Templates from a Plain Text Corpus

Or Biran, Terra Blevins, Kathleen McKeown

Alleviating Poor Context with Background Knowledge for Named Entity Disambiguation

Ander Barrena, Aitor Soroa, Eneko Agirre

Linguistic Benchmarks of Online News Article Quality

Ioannis Arapakis, Filipa Peleja, Barla Berkant, Joao Magalhaes

Learning Text Pair Similarity with Context-sensitive Autoencoders

Hadi Amiri, Philip Resnik, Jordan Boyd-Graber, Hal Daume III

Ella Rabinovich, Sergiu Nisioi, Noam Ordan, Shuly Wintner

User Modeling in Language Learning with Macaronic Texts

Adithya Renduchintala, Rebecca Knowles, Philipp Koehn, Jason Eisner

A Trainable Spaced Repetition Model for Language Learning

Burr Settles, Brendan Meeder

Phrase Structure Annotation and Parsing for Learner English

Ryo Nagata, Keisuke Sakaguchi

Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization

Maxime Peyrard, Judith Eckle-Kohler

Physical Causality of Action Verbs in Grounded Language Understanding

Qiaozi Gao, Malcolm Doering, Shaohua Yang, Joyce Chai

Generating Natural Questions About an Image

Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He

Learning Concept Taxonomies from Multi-modal Data

Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan

Cross-Lingual Image Caption Generation

Takashi Miyazaki, Nobuyuki Shimizu

Learning Prototypical Event Structure from Photo Albums

Antoine Bosselut, Jianfu Chen, David Warren, Hannaneh Hajishirzi, Yejin Choi

Situation entity types: automatic classification of clause-level aspect

Annemarie Friedrich, Alexis Palmer, Manfred Pinkal

Speech Act Modeling of Written Asynchronous Conversations with Task-Specific Embeddings and Conditional Structured Models

Shafiq Joty, Enamul Hoque

Model Architectures for Quotation Detection

Christian Scheible, Roman Klinger, Sebastian Padó

Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network

Jifan Chen, Qi Zhang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Neural Machine Translation of Rare Words with Subword Units

Rico Sennrich, Barry Haddow, Alexandra Birch

Target-Side Context for Discriminative Models in Statistical Machine Translation

Aleš Tamchyna, Alexander Fraser, Ondřej Bojar, Marcin Junczys-Dowmunt

A Character-level Decoder without Explicit Segmentation for Neural Machine Translation

Junyoung Chung, Kyunghyun Cho, Yoshua Bengio

Minimum Risk Training for Neural Machine Translation

Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu

Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning

Ekaterina Vylomova, Laura Rimell, Trevor Cohn, Timothy Baldwin

Cross-lingual Models of Word Embeddings: An Empirical Comparison

Shyam Upadhyay, Manaal Faruqui, Chris Dyer, Dan Roth

Morphological Smoothing and Extrapolation of Word Embeddings

Ryan Cotterell, Hinrich Schütze, Jason Eisner

Cross-domain Text Classification with Multiple Domains and Disparate Label Sets

Himanshu Sharad Bhatt, Manjira Sinha, Shourya Roy

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

Jiatao Gu, Zhengdong Lu, Hang Li, Victor O.K. Li

Deep Reinforcement Learning with a Natural Language Action Space

Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li

Learning Structured Predictors from Bandit Feedback for Interactive NLP

Artem Sokolov, Julia Kreutzer, Christopher Lo, Stefan Riezler

Discovery of Treatments from Text Corpora

Christian Fong, Justin Grimmer

Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM

Ivan Habernal, Iryna Gurevych

Prototype Synthesis for Model Laws

Matthew Burgess, Eugenia Giraudy, Eytan Adar

Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast

Svitlana Volkova, Yoram Bachrach

Stack-propagation: Improved Representation Learning for Syntax

yuan zhang, David Weiss

Optimizing Spectral Learning for Parsing

Shashi Narayan, Shay B. Cohen

WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia

Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto

The LAMBADA dataset: Word prediction requiring a broad discourse context

Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Ngoc Quan Pham, Raffaella Bernardi

LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning

Andrew Bennett, Timothy Baldwin, Jey Han Lau, Diana McCarthy, Francis Bond

Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long

Alakananda Vempala, Eduardo Blanco

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

William L. Hamilton, Jure Leskovec, Dan Jurafsky

Investigating Language Universal and Specific Properties in Word Embeddings

Peng Qian, Xipeng Qiu, Xuanjing Huang

A Fast Unified Model for Parsing and Sentence Understanding

Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning

Simpler Context-Dependent Logical Forms via Model Projections

Reginald Long, Panupong Pasupat, Percy Liang

Commonsense Knowledge Base Completion

Xiang Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel

Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text

Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih, Hoifung Poon, Chris Quirk

Identifying Causal Relations Using Parallel Wikipedia Articles

Christopher Hidey, Kathy McKeown

Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields

Jingwei Zhuo, Yong Cao, Jun Zhu, Bo Zhang, Zaiqing Nie

Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning

Xinjie Zhou, Xiaojun Wan, Jianguo Xiao

A Search-Based Dynamic Reranking Model for Dependency Parsing

Hao Zhou, Yue Zhang, Shujian Huang, Junsheng Zhou, Xin-yu Dai

Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network

Zhisong Zhang, Hai Zhao, LIANHUI Qin

A Continuous Space Rule Selection Model for Syntax-based Statistical Machine Translation

Jingyi Zhang, Masao Utiyama, Eiichro Sumita, Graham Neubig, Satoshi Nakamura

Towards Constructing Sports News from Live Text Commentary

Jianmin Zhang, Jin-ge Yao, Xiaojun Wan

Learning Word Meta-Embeddings

Wenpeng Yin, Hinrich Schütze

Sequence-based Structured Prediction for Semantic Parsing

Chunyang Xiao, Marc Dymetman, Claire Gardent

The Creation and Analysis of a Website Privacy Policy Corpus

Shomir Wilson, Florian Schaub, Aswarth Abhilash Dara, Frederick Liu, Sushain Cherivirala

Larger-Context Language Modelling with Recurrent Neural Network

Tian Wang, Kyunghyun Cho

Knowledge Base Completion via Coupled Path Ranking

Quan Wang, Jing Liu, Yuanfei Luo, Bin Wang, Chin-Yew Lin

Relation Classification via Multi-Level Attention CNNs

Linlin Wang, Zhu Cao, Gerard de Melo, Zhiyuan Liu

Inner Attention based Recurrent Neural Networks for Answer Selection

Bingning Wang, Kang Liu, Jun Zhao

Learning Semantically and Additively Compositional Distributional Representations

Ran Tian, Naoaki Okazaki, Kentaro Inui

Bilingual Segmented Topic Model

Akihiro Tamura, Eiichiro Sumita

Annotating and Predicting Non-Restrictive Noun Phrase Modifications

Gabriel Stanovsky, Ido Dagan

Addressing Limited Data for Textual Entailment Across Domains

Chaitanya Shivade, Preethi Raghavan, Siddharth Patwardhan

Neural Network-Based Model for Japanese Predicate Argument Structure Analysis

Tomohide Shibata, Daisuke Kawahara, Sadao Kurohashi

RBPB: Regularization-Based Pattern Balancing Method for Event Extraction

Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang

Resolving References to Objects in Photographs using the Words-As-Classifiers Model

David Schlangen, Sina Zarrieß, Casey Kennington

Prediction of Prospective User Engagement with Intelligent Assistants

Shumpei Sano, Nobuhiro Kaji, Manabu Sassano

Neural Semantic Role Labeling with Dependency Path Embeddings

Michael Roth, Mirella Lapata

Compositional Sequence Labeling Models for Error Detection in Learner Writing

Marek Rei, Helen Yannakoudakis

Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing

Vinodkumar Prabhakaran, William L. Hamilton, Dan McFarland, Dan Jurafsky

ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling

Forough Poursabzi-Sangdeh, Jordan Boyd-Graber, Leah Findlater, Kevin Seppi

Scaling a Natural Language Generation System

Jonathan Pfeil, Soumya Ray

Leveraging Inflection Tables for Stemming and Lemmatization.

Garrett Nicolai, Grzegorz Kondrak

Context-aware Argumentative Relation Mining

Huy Nguyen, Diane Litman

A short proof that O_2 is an MCFL

Mark-Jan Nederhof

End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures

Makoto Miwa, Mohit Bansal

Harnessing Cognitive Features for Sarcasm Detection

Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya

Synthesizing Compound Words for Machine Translation

Austin Matthews, Eva Schlinger, Alon Lavie, Chris Dyer

Off-topic Response Detection for Spontaneous Spoken English Assessment

Andrey Malinin, Rogier van Dalen, Kate Knill, Yu Wang, Mark Gales

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Xuezhe Ma, Eduard Hovy

Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models

Minh-Thang Luong, Christopher D. Manning

Understanding Discourse on Work and Job-Related Well-Being in Public Social Media

Tong Liu, Christopher Homan, Cecilia Ovesdotter Alm, Megan Lytle, Ann Marie White

Deep Fusion LSTMs for Text Semantic Matching

Pengfei Liu, Xipeng Qiu, Jifan Chen, Xuanjing Huang

Agreement-based Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora

Chunyang Liu, Yang Liu, Maosong Sun, Huanbo Luan, Heng Yu

Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation

Nut Limsopatham, Nigel Collier

Discriminative Deep Random Walk for Network Classification

Juzheng Li, Jun Zhu, Bo Zhang

A Persona-Based Neural Conversation Model

Jiwei Li, Michel Galley, Chris Brockett, Georgios Spithourakis, Jianfeng Gao

A CALL System for Learning Preposition Usage

John Lee, Donald Sturgeon, Mengqi Luo

Cross-Lingual Lexico-Semantic Transfer in Language Learning

Ekaterina Kochmar, Ekaterina Shutova

Exploring Convolutional and Recurrent Neural Networks in Sequential Labelling for Dialogue Topic Tracking

Seokhwan Kim, Rafael Banchs, Haizhou Li

Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings

Fereshte Khani, Martin Rinard, Percy Liang