ACL Human Language Technologies, NAACL HLT 2016

Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling

Svetlana Kiritchenko, Saif M. Mohammad

Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling

• http://www.saifmohammad.com/WebPages/BestWorst.html

Flexible Non-Terminals for Dependency Tree-to-Tree Reordering

John Richardson, Fabien Cromierès, Toshiaki Nakazawa, Sadao Kurohashi

Flexible Non-Terminals for Dependency Tree-to-Tree Reordering

Incorporating Structural Alignment Biases into an Attentional Neural Translation Model

Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari

Incorporating Structural Alignment Biases into an Attentional Neural Translation Model

Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning

Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer

Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

• http://cs.rochester.edu/nlp/rocstories/

A Joint Model of Orthography and Morphological Segmentation

Ryan Cotterell, Tim Vieira, Hinrich Schütze

A Joint Model of Orthography and Morphological Segmentation

• http://ryancotterell.github.io/canonical-segmentation/

Improve Chinese Word Embeddings by Exploiting Internal Structure

Jian Xu, Jiawei Liu, Liangang Zhang, Zhengyu Li, Huanhuan Chen

Improve Chinese Word Embeddings by Exploiting Internal Structure

• https://github.com/JianXu123/SCWE

Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation

He He, Jordan L. Boyd-Graber, Hal Daumé III

Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation

Search Space Pruning: A Simple Solution for Better Coreference Resolvers

Nafise Sadat Moosavi, Michael Strube

Search Space Pruning: A Simple Solution for Better Coreference Resolvers

• http://github.com/smartschat/cort

Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network

Peilu Wang, Yao Qian, Frank K. Soong, Lei He, Hai Zhao

Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network

• https://github.com/PeiluWang/naacl2016_blstmwe

Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran

Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

• http://sarathchandar.in/bridge-corrnet

A Novel Approach to Dropped Pronoun Translation

Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Hang Li, Andy Way, Qun Liu

A Novel Approach to Dropped Pronoun Translation

Learning to Compose Neural Networks for Question Answering

Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein

Learning to Compose Neural Networks for Question Answering

• http://github.com/jacobandreas/nmn2

Online Multilingual Topic Models with Multi-Level Hyperpriors

Kriste Krstovski, David A. Smith, Michael J. Kurtz

Online Multilingual Topic Models with Multi-Level Hyperpriors

Sentiment Composition of Words with Opposing Polarities

Svetlana Kiritchenko, Saif M. Mohammad

Sentiment Composition of Words with Opposing Polarities

• http://www.saifmohammad.com/WebPages/SCL.html#OPP

Integer Linear Programming for Discourse Parsing

Jérémy Perret, Stergos D. Afantenos, Nicholas Asher, Mathieu Morey

Integer Linear Programming for Discourse Parsing

Learning Distributed Representations of Sentences from Unlabelled Data

Felix Hill, Kyunghyun Cho, Anna Korhonen

Learning Distributed Representations of Sentences from Unlabelled Data

• https://www.cl.cam.ac.uk/~fh295/

Counter-fitting Word Vectors to Linguistic Constraints

Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young

Counter-fitting Word Vectors to Linguistic Constraints

• https://github.com/nmrksic/counter-fitting

An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition

Wencan Luo, Fan Yang

An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition

Weighting Finite-State Transductions With Neural Context

Pushpendre Rastogi, Ryan Cotterell, Jason Eisner

Weighting Finite-State Transductions With Neural Context

A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization

William Yang Wang, Yashar Mehdad, Dragomir R. Radev, Amanda Stent

A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization

• https://github.com/JohnLangford/vowpal_wabbit

Improving event prediction by representing script participants

Simon Ahrendt, Vera Demberg

Improving event prediction by representing script participants

Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer

Eun-Suk Yang, Young-Bum Kim, Ruhi Sarikaya, Yu-Seop Kim

Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer

End-to-End Argumentation Mining in Student Essays

Isaac Persing, Vincent Ng

End-to-End Argumentation Mining in Student Essays

A Study of the Impact of Persuasive Argumentation in Political Debates

Amparo Elizabeth Cano Basave, Yulan He

A Study of the Impact of Persuasive Argumentation in Political Debates

Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework

Matthieu Constant, Joseph Le Roux, Nadi Tomeh

Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework

• https://bitbucket.org/yoavgo/tacl2013dynamicoracles

A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations

Hee-Geun Yoon, Hyun-Je Song, Seong-Bae Park, Se-Young Park

A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations

• http://ml.knu.ac.kr/lppKE

Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks

Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz

Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks

Grounded Semantic Role Labeling

Shaohua Yang, Qiaozi Gao, Changsong Liu, Caiming Xiong, Song-Chun Zhu, Joyce Y. Chai

Grounded Semantic Role Labeling

• http://lair.cse.msu.edu/gsrl.html

Dynamic Entity Representation with Max-pooling Improves Machine Reading

Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, Kentaro Inui

Dynamic Entity Representation with Max-pooling Improves Machine Reading

• https://github.com/soskek/der-network

Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks

Wenduan Xu, Michael Auli, Stephen Clark

Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks

Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking

Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti

Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking

Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents

Rui Zhang, Honglak Lee, Dragomir R. Radev

Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents

Building Chinese Affective Resources in Valence-Arousal Dimensions

Liang-Chih Yu, Lung-Hao Lee, Shuai Hao, Jin Wang, Yunchao He, Jun Hu, K. Robert Lai, Xuejie Zhang

Building Chinese Affective Resources in Valence-Arousal Dimensions

Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods

Martin Riedl, Chris Biemann

Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods

• https://github.com/riedlma/SECOS

Unsupervised Ranking Model for Entity Coreference Resolution

Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy

Unsupervised Ranking Model for Entity Coreference Resolution

Syntactic Parsing of Web Queries with Question Intent

Yuval Pinter, Roi Reichart, Idan Szpektor

Syntactic Parsing of Web Queries with Question Intent

Clustering Paraphrases by Word Sense

Anne Cocos, Chris Callison-Burch

Clustering Paraphrases by Word Sense

• https://github.com/acocos/cluster_paraphrases
• http://seas.upenn.edu/~acocos/data/ppdb_sense_clusters.tar.gz

Joint Extraction of Events and Entities within a Document Context

Bishan Yang, Tom M. Mitchell

Joint Extraction of Events and Entities within a Document Context

• https://github.com/bishanyang/EventEntityExtractor

Ten Pairs to Tag - Multilingual POS Tagging via Coarse Mapping between Embeddings

Yuan Zhang, David Gaddy, Regina Barzilay, Tommi S. Jaakkola

Ten Pairs to Tag - Multilingual POS Tagging via Coarse Mapping between Embeddings

• https://github.com/yuanzh/transfer_pos

Making Dependency Labeling Simple, Fast and Accurate

Tianxiao Shen, Tao Lei, Regina Barzilay

Making Dependency Labeling Simple, Fast and Accurate

• https://github.com/shentianxiao/RBGParser/tree/labeling

Shift-Reduce CCG Parsing using Neural Network Models

Bharat Ram Ambati, Tejaswini Deoskar, Mark Steedman

Shift-Reduce CCG Parsing using Neural Network Models

• https://github.com/bharatambati/tranccg

Interlocking Phrases in Phrase-based Statistical Machine Translation

Ye Kyaw Thu, Andrew M. Finch, Eiichiro Sumita

Interlocking Phrases in Phrase-based Statistical Machine Translation

BIRA: Improved Predictive Exchange Word Clustering

Jon Dehdari, Liling Tan, Josef van Genabith

BIRA: Improved Predictive Exchange Word Clustering

• https://github.com/jonsafari/clustercat

Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement

Hua He, Jimmy J. Lin

Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement

• https://github.com/castorini/VDPWI-NN-Torch

Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks

Yangtuo Peng, Hui Jiang

Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks

Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua

Derry Tanti Wijaya, Tom M. Mitchell

Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua

Natural Language Communication with Robots

Yonatan Bisk, Deniz Yuret, Daniel Marcu

Natural Language Communication with Robots

• http://nlg.isi.edu/language-grounding/

Intra-Topic Variability Normalization based on Linear Projection for Topic Classification

Quan Liu, Wu Guo, Zhen-Hua Ling, Hui Jiang, Yu Hu

Intra-Topic Variability Normalization based on Linear Projection for Topic Classification

Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning

Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight, Daniel Marcu

Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning

• http://nlp.cs.rpi.edu/data/elisaienaacl16.zip

PRIMT: A Pick-Revise Framework for Interactive Machine Translation

Shanbo Cheng, Shujian Huang, Huadong Chen, Xinyu Dai, Jiajun Chen

PRIMT: A Pick-Revise Framework for Interactive Machine Translation

Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation

Tomoya Mizumoto, Yuji Matsumoto

Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation

Learning a POS tagger for AAVE-like language

Anna Jørgensen, Dirk Hovy, Anders Søgaard

Learning a POS tagger for AAVE-like language

• https://bitbucket.org/soegaard/aave-pos16
• https://github.com/coastalcph/rungsted

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

Sumit Chopra, Michael Auli, Alexander M. Rush

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

• https://github.com/facebookarchive/NAMAS
• http://torch.ch/

A Diversity-Promoting Objective Function for Neural Conversation Models

Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan

A Diversity-Promoting Objective Function for Neural Conversation Models

Joint Event Extraction via Recurrent Neural Networks

Thien Huu Nguyen, Kyunghyun Cho, Ralph Grishman

Joint Event Extraction via Recurrent Neural Networks

Breaking the Closed World Assumption in Text Classification

Geli Fei, Bing Liu

Breaking the Closed World Assumption in Text Classification

This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering

Dasha Bogdanova, Jennifer Foster

This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering

Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation

Akiva Miura, Graham Neubig, Michael Paul, Satoshi Nakamura

Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation

• https://github.com/akivajp/naacl2016

Using Context to Predict the Purpose of Argumentative Writing Revisions

Fan Zhang, Diane J. Litman

Using Context to Predict the Purpose of Argumentative Writing Revisions

Consensus Maximization Fusion of Probabilistic Information Extractors

Miguel E. Rodríguez, Sean Goldberg, Daisy Zhe Wang

Consensus Maximization Fusion of Probabilistic Information Extractors

Clustering for Simultaneous Extraction of Aspects and Features from Reviews

Lu Chen, Justin Martineau, Doreen Cheng, Amit P. Sheth

Clustering for Simultaneous Extraction of Aspects and Features from Reviews

• http://knoesis.wright.edu/researchers/luchen/download/naacl16_aspects.zip

Automatic Summarization of Student Course Feedback

Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman

Automatic Summarization of Student Course Feedback

Expectation-Regulated Neural Model for Event Mention Extraction

Ching-Yun Chang, Zhiyang Teng, Yue Zhang

Expectation-Regulated Neural Model for Event Mention Extraction

An Attentional Model for Speech Translation Without Transcription

Long Duong, Antonios Anastasopoulos, David Chiang, Steven Bird, Trevor Cohn

An Attentional Model for Speech Translation Without Transcription

Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence

Gakuto Kurata, Bing Xiang, Bowen Zhou

Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence

Dependency Based Embeddings for Sentence Classification Tasks

Alexandros Komninos, Suresh Manandhar

Dependency Based Embeddings for Sentence Classification Tasks

• https://www.cs.york.ac.uk/nlp/extvec

Incorporating Side Information into Recurrent Neural Network Language Models

Cong Duy Vu Hoang, Trevor Cohn, Gholamreza Haffari

Incorporating Side Information into Recurrent Neural Network Language Models

• https://github.com/clab/cnn/

Emergent: a novel data-set for stance classification

William Ferreira, Andreas Vlachos

Emergent: a novel data-set for stance classification

• https://github.com/willferreira/mscproject

Hierarchical Attention Networks for Document Classification

Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alexander J. Smola, Eduard H. Hovy

Hierarchical Attention Networks for Document Classification

The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection

Junyi Jessy Li, Ani Nenkova

The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection

Towards Unsupervised and Language-independent Compound Splitting using Inflectional Morphological Transformations

Patrick Ziering, Lonneke van der Plas

Towards Unsupervised and Language-independent Compound Splitting using Inflectional Morphological Transformations

Deep LSTM based Feature Mapping for Query Classification

Yangyang Shi, Kaisheng Yao, Le Tian, Daxin Jiang

Deep LSTM based Feature Mapping for Query Classification

Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora

Kriste Krstovski, David A. Smith

Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora

Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

Matthew Francis-Landau, Greg Durrett, Dan Klein

Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

• https://github.com/matthewfl/nlp-entity-convnet

Structured Prediction with Output Embeddings for Semantic Image Annotation

Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra, Francesc Moreno-Noguer

Structured Prediction with Output Embeddings for Semantic Image Annotation

Effective Crowd Annotation for Relation Extraction

Angli Liu, Stephen Soderland, Jonathan Bragg, Christopher H. Lin, Xiao Ling, Daniel S. Weld

Effective Crowd Annotation for Relation Extraction

• https://www.cs.washington.edu/ai/gated_instructions/naacl_data.zip

Dynamic Feature Induction: The Last Gist to the State-of-the-Art

Jinho D. Choi

Dynamic Feature Induction: The Last Gist to the State-of-the-Art

STransE: a novel embedding model of entities and relationships in knowledge bases

Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson

STransE: a novel embedding model of entities and relationships in knowledge bases

DAG-Structured Long Short-Term Memory for Semantic Compositionality

Xiao-Dan Zhu, Parinaz Sobhani, Hongyu Guo

DAG-Structured Long Short-Term Memory for Semantic Compositionality

Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling

Niko Schenk, Christian Chiarcos

Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling

Statistical Modeling of Creole Genesis

Yugo Murawaki

Statistical Modeling of Creole Genesis

Knowledge-Guided Linguistic Rewrites for Inference Rule Verification

Prachi Jain, Mausam

Knowledge-Guided Linguistic Rewrites for Inference Rule Verification

• https://github.com/dair-iitd/kglr.git
• http://aclweb.org/anthology/N/N16/N16-1011.pdf
• csz148211@iitd.ac.in

Integrating Morphological Desegmentation into Phrase-based Decoding

Mohammad Salameh, Colin Cherry, Grzegorz Kondrak

Integrating Morphological Desegmentation into Phrase-based Decoding

Conversational Flow in Oxford-style Debates

Justine Zhang, Ravi Kumar, Sujith Ravi, Cristian Danescu-Niculescu-Mizil

Conversational Flow in Oxford-style Debates

• http://www.cs.cornell.edu/~cristian/debates/

Combining Recurrent and Convolutional Neural Networks for Relation Classification

Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze

Combining Recurrent and Convolutional Neural Networks for Relation Classification

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

Hongyuan Mei, Mohit Bansal, Matthew R. Walter

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

Inter-document Contextual Language model

Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari

Inter-document Contextual Language model

Agreement on Target-bidirectional Neural Machine Translation

Lemao Liu, Masao Utiyama, Andrew M. Finch, Eiichiro Sumita

Agreement on Target-bidirectional Neural Machine Translation

• https://github.com/lisa-groundhog/GroundHog/tree/master/experiments/nmt

Multilingual Language Processing From Bytes

Dan Gillick, Cliff Brunk, Oriol Vinyals, Amarnag Subramanya

Multilingual Language Processing From Bytes

• http://universaldependencies.github.io/docs/

Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism

Orhan Firat, Kyunghyun Cho, Yoshua Bengio

Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism

• http://github.com/nyu-dl/dl4mt-multi