ACL Conf. on Empirical Methods in Natural Language Processing, EMNLP 2016

Variational Neural Machine Translation

Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, Min Zhang

Variational Neural Machine Translation

• https://github.com/DeepLearnXMU/VNMT

Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?

Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, Dhruv Batra

Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?

• https://github.com/zcyang/imageqa-san

Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities

Yi Yang, Ming-Wei Chang, Jacob Eisenstein

Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities

LSTM Shift-Reduce CCG Parsing

Wenduan Xu

LSTM Shift-Reduce CCG Parsing

• https://github.com/clab/cnn

A Theme-Rewriting Approach for Generating Algebra Word Problems

Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer, Hannaneh Hajishirzi

A Theme-Rewriting Approach for Generating Algebra Word Problems

Global Neural CCG Parsing with Optimality Guarantees

Kenton Lee, Mike Lewis, Luke Zettlemoyer

Global Neural CCG Parsing with Optimality Guarantees

• https://github.com/clab/cnn
• https://github.com/mikelewis0/EasySRL
• https://github.com/kentonl/neuralccg

Analyzing Framing through the Casts of Characters in the News

Dallas Card, Justin H. Gross, Amber E. Boydstun, Noah A. Smith

Analyzing Framing through the Casts of Characters in the News

Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation

Yu-Yang Huang, Shou-De Lin

Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation

Learning Connective-based Word Representations for Implicit Discourse Relation Identification

Chloé Braud, Pascal Denis

Learning Connective-based Word Representations for Implicit Discourse Relation Identification

Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention

Yang Liu, Sujian Li

Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention

Learning principled bilingual mappings of word embeddings while preserving monolingual invariance

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Learning principled bilingual mappings of word embeddings while preserving monolingual invariance

• https://github.com/artetxem/vecmap

Event participant modelling with neural networks

Ottokar Tilk, Vera Demberg, Asad B. Sayeed, Dietrich Klakow, Stefan Thater

Event participant modelling with neural networks

POLY: Mining Relational Paraphrases from Multilingual Sentences

Adam Grycner, Gerhard Weikum

POLY: Mining Relational Paraphrases from Multilingual Sentences

Human-in-the-Loop Parsing

Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer

Human-in-the-Loop Parsing

• https://github.com/luheng/hitl_parsing

Nested Propositions in Open Information Extraction

Nikita Bhutani, H. V. Jagadish, Dragomir R. Radev

Nested Propositions in Open Information Extraction

Learning Robust Representations of Text

Yitong Li, Trevor Cohn, Timothy Baldwin

Learning Robust Representations of Text

• https://github.com/lrank/Robust-Representation

Learning to Answer Questions from Wikipedia Infoboxes

Alvaro Morales, Varot Premtoon, Cordelia Avery, Sue Felshin, Boris Katz

Learning to Answer Questions from Wikipedia Infoboxes

• https://github.com/brmson/dataset-sts

Structured prediction models for RNN based sequence labeling in clinical text

Abhyuday Jagannatha, Hong Yu

Structured prediction models for RNN based sequence labeling in clinical text

• https://github.com/abhyudaynj/LSTM-CRF-models

Identifying Dogmatism in Social Media: Signals and Models

Ethan Fast, Eric Horvitz

Identifying Dogmatism in Social Media: Signals and Models

Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network

Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Canasai Kruengkrai, Julien Kloetzer

Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network

A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification

Lianhui Qin, Zhisong Zhang, Hai Zhao

A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification

Event-Driven Emotion Cause Extraction with Corpus Construction

Lin Gui, Dongyin Wu, Ruifeng Xu, Qin Lu, Yu Zhou

Event-Driven Emotion Cause Extraction with Corpus Construction

• https://github.com/HIT-SCIR/ltp

SimpleScience: Lexical Simplification of Scientific Terminology

Yea-Seul Kim, Jessica Hullman, Matthew Burgess, Eytan Adar

SimpleScience: Lexical Simplification of Scientific Terminology

• https://github.com/yeaseulkim/SimpleScience

A Neural Approach to Automated Essay Scoring

Kaveh Taghipour, Hwee Tou Ng

A Neural Approach to Automated Essay Scoring

• https://github.com/nusnlp/nea
• https://github.com/edx/ease

Context-Dependent Sense Embedding

Lin Qiu, Kewei Tu, Yong Yu

Context-Dependent Sense Embedding

Long Short-Term Memory-Networks for Machine Reading

Jianpeng Cheng, Li Dong, Mirella Lapata

Long Short-Term Memory-Networks for Machine Reading

• https://github.com/cheng6076/

Incorporating Discrete Translation Lexicons into Neural Machine Translation

Philip Arthur, Graham Neubig, Satoshi Nakamura

Incorporating Discrete Translation Lexicons into Neural Machine Translation

• http://isw3.naist.jp/~philip-a/emnlp2016/index.html

Unsupervised Timeline Generation for Wikipedia History Articles

Sandro Bauer, Simone Teufel

Unsupervised Timeline Generation for Wikipedia History Articles

Transfer Learning for Low-Resource Neural Machine Translation

Barret Zoph, Deniz Yuret, Jonathan May, Kevin Knight

Transfer Learning for Low-Resource Neural Machine Translation

AMR Parsing with an Incremental Joint Model

Junsheng Zhou, Feiyu Xu, Hans Uszkoreit, Weiguang Qu, Ran Li, Yanhui Gu

AMR Parsing with an Incremental Joint Model

A Graph Degeneracy-based Approach to Keyword Extraction

Antoine J.-P. Tixier, Fragkiskos D. Malliaros, Michalis Vazirgiannis

A Graph Degeneracy-based Approach to Keyword Extraction

• https://github.com/snkim/
• https://github.com/Tixierae/EMNLP_2016

Context-Sensitive Lexicon Features for Neural Sentiment Analysis

Zhiyang Teng, Duy-Tin Vo, Yue Zhang

Context-Sensitive Lexicon Features for Neural Sentiment Analysis

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads

Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads

Latent Tree Language Model

Tomás Brychcín

Latent Tree Language Model

• https://github.com/brychcin/LTLM

Long-Short Range Context Neural Networks for Language Modeling

Youssef Oualil, Mittul Singh, Clayton Greenberg, Dietrich Klakow

Long-Short Range Context Neural Networks for Language Modeling

Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts

Masashi Yoshikawa, Hiroyuki Shindo, Yuji Matsumoto

Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts

Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

James Cross, Liang Huang

Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

• https://github.com/jhcross/span-parser

Improving Users' Demographic Prediction via the Videos They Talk about

Yuan Wang, Yang Xiao, Chao Ma, Zhen Xiao

Improving Users' Demographic Prediction via the Videos They Talk about

The Structured Weighted Violations Perceptron Algorithm

Rotem Dror, Roi Reichart

The Structured Weighted Violations Perceptron Algorithm

Unsupervised Neural Dependency Parsing

Yong Jiang, Wenjuan Han, Kewei Tu

Unsupervised Neural Dependency Parsing

Sequence-Level Knowledge Distillation

Yoon Kim, Alexander M. Rush

Sequence-Level Knowledge Distillation

• https://github.com/harvardnlp/nmt-android
• https://github.com/harvardnlp/seq2seq-attn

Semi-Supervised Learning of Sequence Models with Method of Moments

Zita Marinho, André F. T. Martins, Shay B. Cohen, Noah A. Smith

Semi-Supervised Learning of Sequence Models with Method of Moments

Training with Exploration Improves a Greedy Stack LSTM Parser

Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith

Training with Exploration Improves a Greedy Stack LSTM Parser

Numerically Grounded Language Models for Semantic Error Correction

Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel

Numerically Grounded Language Models for Semantic Error Correction

Charagram: Embedding Words and Sentences via Character n-grams

John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu

Charagram: Embedding Words and Sentences via Character n-grams

Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping

Jian Ni, Radu Florian

Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping

Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction

Hiroshi Noji, Yusuke Miyao, Mark Johnson

Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction

Jointly Embedding Knowledge Graphs and Logical Rules

Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo

Jointly Embedding Knowledge Graphs and Logical Rules

• https://github.com/glorotxa/SME

Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary

Qi Zhang, Jin Qian, Ya Guo, Yaqian Zhou, Xuanjing Huang

Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary

Does 'well-being' translate on Twitter?

Laura Smith, Salvatore Giorgi, Rishi Solanki, Johannes C. Eichstaedt, H. Andrew Schwartz, Muhammad Abdul-Mageed, Anneke Buffone, Lyle H. Ungar

Does 'well-being' translate on Twitter?

Reasoning about Pragmatics with Neural Listeners and Speakers

Jacob Andreas, Dan Klein

Reasoning about Pragmatics with Neural Listeners and Speakers

Friends with Motives: Using Text to Infer Influence on SCOTUS

Yanchuan Sim, Bryan R. Routledge, Noah A. Smith

Friends with Motives: Using Text to Infer Influence on SCOTUS

Deep Multi-Task Learning with Shared Memory for Text Classification

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Deep Multi-Task Learning with Shared Memory for Text Classification

A Semiparametric Model for Bayesian Reader Identification

Ahmed AbdelWahab, Reinhold Kliegl, Niels Landwehr

A Semiparametric Model for Bayesian Reader Identification

Neural Headline Generation on Abstract Meaning Representation

Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata

Neural Headline Generation on Abstract Meaning Representation

Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter

Qi Zhang, Yang Wang, Yeyun Gong, Xuanjing Huang

Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter

Deep Reinforcement Learning for Dialogue Generation

Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao

Deep Reinforcement Learning for Dialogue Generation

Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning

Karthik Narasimhan, Adam Yala, Regina Barzilay

Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning

Equation Parsing : Mapping Sentences to Grounded Equations

Subhro Roy, Shyam Upadhyay, Dan Roth

Equation Parsing : Mapping Sentences to Grounded Equations

Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages

Alan Akbik, Vishwajeet Kumar, Yunyao Li

Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages

Neural Text Generation from Structured Data with Application to the Biography Domain

Rémi Lebret, David Grangier, Michael Auli

Neural Text Generation from Structured Data with Application to the Biography Domain

Universal Decompositional Semantics on Universal Dependencies

Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme

Universal Decompositional Semantics on Universal Dependencies

Key-Value Memory Networks for Directly Reading Documents

Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston

Key-Value Memory Networks for Directly Reading Documents

An Embedding Model for Predicting Roll-Call Votes

Peter Kraft, Hirsh Jain, Alexander M. Rush

An Embedding Model for Predicting Roll-Call Votes

Discourse Parsing with Attention-based Hierarchical Neural Networks

Qi Li, Tianshi Li, Baobao Chang

Discourse Parsing with Attention-based Hierarchical Neural Networks

Exploring Semantic Representation in Brain Activity Using Word Embeddings

Yu-Ping Ruan, Zhen-Hua Ling, Yu Hu

Exploring Semantic Representation in Brain Activity Using Word Embeddings

Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems

Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih

Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems

Unsupervised Text Recap Extraction for TV Series

Hongliang Yu, Shikun Zhang, Louis-Philippe Morency

Unsupervised Text Recap Extraction for TV Series

Controlling Output Length in Neural Encoder-Decoders

Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, Manabu Okumura

Controlling Output Length in Neural Encoder-Decoders

• https://github.com/facebook/NAMAS

Towards a Convex HMM Surrogate for Word Alignment

Andrei Simion, Michael Collins, Cliff Stein

Towards a Convex HMM Surrogate for Word Alignment

Modeling Skip-Grams for Event Detection with Convolutional Neural Networks

Thien Huu Nguyen, Ralph Grishman

Modeling Skip-Grams for Event Detection with Convolutional Neural Networks

Character Sequence Models for Colorful Words

Kazuya Kawakami, Chris Dyer, Bryan R. Routledge, Noah A. Smith

Character Sequence Models for Colorful Words

Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration

Changsong Liu, Shaohua Yang, Sari Saba-Sadiya, Nishant Shukla, Yunzhong He, Song-Chun Zhu, Joyce Yue Chai

Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration

Multi-Granularity Chinese Word Embedding

Rongchao Yin, Quan Wang, Peng Li, Rui Li, Bin Wang

Multi-Granularity Chinese Word Embedding

• https://github.com/Leonard-Xu/CWE
• https://github.com/Leonard-Xu/CWE/tree/master/data

Addressee and Response Selection for Multi-Party Conversation

Hiroki Ouchi, Yuta Tsuboi

Addressee and Response Selection for Multi-Party Conversation

• https://github.com/hiroki13/response-ranking

Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data

Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li, Guangxia Li

Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data

Deep Reinforcement Learning for Mention-Ranking Coreference Models

Kevin Clark, Christopher D. Manning

Deep Reinforcement Learning for Mention-Ranking Coreference Models

• https://github.com/clarkkev/deep-coref

Encoding Temporal Information for Time-Aware Link Prediction

Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui

Encoding Temporal Information for Time-Aware Link Prediction

Mining Inference Formulas by Goal-Directed Random Walks

Zhuoyu Wei, Jun Zhao, Kang Liu

Mining Inference Formulas by Goal-Directed Random Walks

Unsupervised Word Alignment by Agreement Under ITG Constraint

Hidetaka Kamigaito, Akihiro Tamura, Hiroya Takamura, Manabu Okumura, Eiichiro Sumita

Unsupervised Word Alignment by Agreement Under ITG Constraint

Are Word Embedding-based Features Useful for Sarcasm Detection?

Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman

Are Word Embedding-based Features Useful for Sarcasm Detection?

Relation Schema Induction using Tensor Factorization with Side Information

Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar

Relation Schema Induction using Tensor Factorization with Side Information

• https://github.com/malllabiisc/sictf

Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes

Gordon Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra

Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes

Semantic Parsing to Probabilistic Programs for Situated Question Answering

Jayant Krishnamurthy, Oyvind Tafjord, Aniruddha Kembhavi

Semantic Parsing to Probabilistic Programs for Situated Question Answering

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart, Anna Korhonen

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network

Anh Tuan Luu, Yi Tay, Siu Cheung Hui, See-Kiong Ng

Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network

Semantic Parsing with Semi-Supervised Sequential Autoencoders

Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann

Semantic Parsing with Semi-Supervised Sequential Autoencoders

MixKMeans: Clustering Question-Answer Archives

Deepak P

MixKMeans: Clustering Question-Answer Archives

Attention-based LSTM Network for Cross-Lingual Sentiment Classification

Xinjie Zhou, Xiaojun Wan, Jianguo Xiao

Attention-based LSTM Network for Cross-Lingual Sentiment Classification

Measuring the behavioral impact of machine translation quality improvements with A/B testing

Ben Russell, Duncan Gillespie

Measuring the behavioral impact of machine translation quality improvements with A/B testing

Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction

Marcin Junczys-Dowmunt, Roman Grundkiewicz

Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction

• https://github.com/grammatical/baselines-emnlp2016

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser

Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser

• https://github.com/adhigunasurya/
• https://github.com/clab/cnn.git

On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements

Markus Dollmann, Michaela Geierhos

On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements

• https://github.com/larsmans/seqlearn

Parsing as Language Modeling

Do Kook Choe, Eugene Charniak

Parsing as Language Modeling

Language as a Latent Variable: Discrete Generative Models for Sentence Compression

Yishu Miao, Phil Blunsom

Language as a Latent Variable: Discrete Generative Models for Sentence Compression

• https://github.com/facebook/NAMAS

Distinguishing Past, On-going, and Future Events: The EventStatus Corpus

Ruihong Huang, Ignacio Cases, Dan Jurafsky, Cleo Condoravdi, Ellen Riloff

Distinguishing Past, On-going, and Future Events: The EventStatus Corpus

Why Neural Translations are the Right Length

Xing Shi, Kevin Knight, Deniz Yuret

Why Neural Translations are the Right Length

Lifted Rule Injection for Relation Embeddings

Thomas Demeester, Tim Rocktäschel, Sebastian Riedel

Lifted Rule Injection for Relation Embeddings

Rationale-Augmented Convolutional Neural Networks for Text Classification

Ye Zhang, Iain James Marshall, Byron C. Wallace

Rationale-Augmented Convolutional Neural Networks for Text Classification

• https://github.com/yezhang-xiaofan/Rationale-CNN
• https://github.com/bwallace/rationale-CNN

Supervised Attentions for Neural Machine Translation

Haitao Mi, Zhiguo Wang, Abe Ittycheriah

Supervised Attentions for Neural Machine Translation

Learning to Translate for Multilingual Question Answering

Ferhan Türe, Elizabeth Boschee

Learning to Translate for Multilingual Question Answering

AMR-to-text generation as a Traveling Salesman Problem

Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang, Daniel Gildea

AMR-to-text generation as a Traveling Salesman Problem

• https://github.com/xiaochang13/AMR-generation
• https://github.com/jflanigan/jamr/tree/Generator

PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification

Dominique Brunato, Andrea Cimino, Felice Dell'Orletta, Giulia Venturi

PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification

• http://www.italianlp.it/resources/paccss-it-parallel-corpus-of-complex-simple-sentences-for-italian/
• italianlp@ilc.cnr.it

Modeling Human Reading with Neural Attention

Michael Hahn, Frank Keller

Modeling Human Reading with Neural Attention

Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics

Douwe Kiela, Anita Lilla Vero, Stephen Clark

Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics

• https://github.com/douwekiela/mmfeat

A Decomposable Attention Model for Natural Language Inference

Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit

A Decomposable Attention Model for Natural Language Inference

Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser

Koji Mineshima, Ribeka Tanaka, Pascual Martínez-Gómez, Yusuke Miyao, Daisuke Bekki

Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser

• https://github.com/mynlp/jigg
• https://github.com/mynlp/ccg2lambda

Automatic Extraction of Implicit Interpretations from Modal Constructions

Jordan Sanders, Eduardo Blanco

Automatic Extraction of Implicit Interpretations from Modal Constructions

• http://propbank.github.io/

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora

William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora

• http://nlp.stanford.edu/projects/socialsent
• https://code.google.com/p/word2vec/
• https://archive.org/details/2015_reddit_comments_corpus

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding

Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding

• https://github.com/shanzhenren/AFET

Timeline extraction using distant supervision and joint inference

Savelie Cornegruta, Andreas Vlachos

Timeline extraction using distant supervision and joint inference

• http://github.com/savac/timeline

Learning Crosslingual Word Embeddings without Bilingual Corpora

Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn

Learning Crosslingual Word Embeddings without Bilingual Corpora

Sequence-to-Sequence Learning as Beam-Search Optimization

Sam Wiseman, Alexander M. Rush

Sequence-to-Sequence Learning as Beam-Search Optimization

Cross Sentence Inference for Process Knowledge

Samuel Louvan, Chetan Naik, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian, Peter Clark

Cross Sentence Inference for Process Knowledge

Enhanced Personalized Search using Social Data

Dong Zhou, Séamus Lawless, Xuan Wu, Wenyu Zhao, Jianxun Liu

Enhanced Personalized Search using Social Data

Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling

Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari

Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling

IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations

Naoki Otani, Toshiaki Nakazawa, Daisuke Kawahara, Sadao Kurohashi

IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations

Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change

William L. Hamilton, Jure Leskovec, Dan Jurafsky

Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification

Jianfei Yu, Jing Jiang

Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification

• https://github.com/jefferyYu/Learning-Sentence-Embeddings-for-cross-domain-sentiment-classification
• jfyu.2014@phdis.smu.edu.sg

Multi-view Response Selection for Human-Computer Conversation

Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, Rui Yan

Multi-view Response Selection for Human-Computer Conversation

• https://github.com/npow/ubottu

Character-Level Question Answering with Attention

Xiaodong He, David Golub

Character-Level Question Answering with Attention

• https://github.com/davidgolub/simpleqa

The Gun Violence Database: A new task and data set for NLP

Ellie Pavlick, Heng Ji, Xiaoman Pan, Chris Callison-Burch

The Gun Violence Database: A new task and data set for NLP

Learning to Represent Review with Tensor Decomposition for Spam Detection

Xuepeng Wang, Kang Liu, Shizhu He, Jun Zhao

Learning to Represent Review with Tensor Decomposition for Spam Detection

On Generating Characteristic-rich Question Sets for QA Evaluation

Yu Su, Huan Sun, Brian M. Sadler, Mudhakar Srivatsa, Izzeddin Gur, Zenghui Yan, Xifeng Yan

On Generating Characteristic-rich Question Sets for QA Evaluation

De-Conflated Semantic Representations

Mohammad Taher Pilehvar, Nigel Collier

De-Conflated Semantic Representations

• https://pilehvar.github.io/deconf/

Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text

Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko

Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text

Learning to Recognize Discontiguous Entities

Aldrian Obaja Muis, Wei Lu

Learning to Recognize Discontiguous Entities

• http://www.github.com/emorynlp/nlp4j/

A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification

Yunlun Yang, Yunhai Tong, Shulei Ma, Zhi-Hong Deng

A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification

Neural Network for Heterogeneous Annotations

Hongshen Chen, Yue Zhang, Qun Liu

Neural Network for Heterogeneous Annotations

• https://github.com/SUTDNLP/ZPar
• https://github.com/chenhongshen/NNHetSeq

SQuAD: 100, 000+ Questions for Machine Comprehension of Text

Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang

SQuAD: 100, 000+ Questions for Machine Comprehension of Text

Coverage Embedding Models for Neural Machine Translation

Haitao Mi, Baskaran Sankaran, Zhiguo Wang, Abe Ittycheriah

Coverage Embedding Models for Neural Machine Translation