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Attention-based LSTM for Aspect-level Sentiment Classification
Yequan Wang
|
Minlie Huang
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Xiaoyan Zhu
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Li Zhao
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis
Shuqin Gu
|
Lipeng Zhang
|
Yuexian Hou
|
Yin Song
|
Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings
Junjie Li
|
Haitong Yang
|
Chengqing Zong
|
Enhanced Aspect Level Sentiment Classification with Auxiliary Memory
Peisong Zhu
|
Tieyun Qian
|
Effective Attention Modeling for Aspect-Level Sentiment Classification
Ruidan He
|
Wee Sun Lee
|
Hwee Tou Ng
|
Daniel Dahlmeier
|
Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis
Andrew Moore
|
Paul Rayson
|
Recurrent Attention Network on Memory for Aspect Sentiment Analysis
Peng Chen
|
Zhongqian Sun
|
Lidong Bing
|
Wei Yang
|
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification
Man Lan
|
Jianxiang Wang
|
Yuanbin Wu
|
Zheng-Yu Niu
|
Haifeng Wang
|
Extractive Summarization Using Multi-Task Learning with Document Classification
Masaru Isonuma
|
Toru Fujino
|
Junichiro Mori
|
Yutaka Matsuo
|
Ichiro Sakata
|
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification
Binxuan Huang
|
Kathleen Carley
|
Syntactical Analysis of the Weaknesses of Sentiment Analyzers
Rohil Verma
|
Samuel Kim
|
David Walter
|
A Genre-Aware Attention Model to Improve the Likability Prediction of Books
Suraj Maharjan
|
Manuel Montes
|
Fabio A. González
|
Thamar Solorio
|
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis
Navonil Majumder
|
Soujanya Poria
|
Alexander Gelbukh
|
Md. Shad Akhtar
|
Erik Cambria
|
Asif Ekbal
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Multi-grained Attention Network for Aspect-Level Sentiment Classification
Feifan Fan
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Yansong Feng
|
Dongyan Zhao
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Sentiment Classification towards Question-Answering with Hierarchical Matching Network
Chenlin Shen
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Changlong Sun
|
Jingjing Wang
|
Yangyang Kang
|
Shoushan Li
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Xiaozhong Liu
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Luo Si
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Min Zhang
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Guodong Zhou
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On Tree-Based Neural Sentence Modeling
Haoyue Shi
|
Hao Zhou
|
Jiaze Chen
|
Lei Li
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Joint Learning for Targeted Sentiment Analysis
Dehong Ma
|
Sujian Li
|
Houfeng Wang
|
SMARTies: Sentiment Models for Arabic Target entities
Noura Farra
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Kathy McKeown
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Attention Modeling for Targeted Sentiment
Jiangming Liu
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Yue Zhang
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Using Context Events in Neural Network Models for Event Temporal Status Identification
Zeyu Dai
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Wenlin Yao
|
Ruihong Huang
|
Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring
Fei Dong
|
Yue Zhang
|
Jie Yang
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Hierarchical Attention Based Position-Aware Network for Aspect-Level Sentiment Analysis
Lishuang Li
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Yang Liu
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AnQiao Zhou
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Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
Suraj Maharjan
|
Sudipta Kar
|
Manuel Montes
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Fabio A. González
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Thamar Solorio
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Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis
Devamanyu Hazarika
|
Soujanya Poria
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Prateek Vij
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Gangeshwar Krishnamurthy
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Erik Cambria
|
Roger Zimmermann
|
Transformation Networks for Target-Oriented Sentiment Classification
Xin Li
|
Lidong Bing
|
Wai Lam
|
Bei Shi
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Target-Sensitive Memory Networks for Aspect Sentiment Classification
Shuai Wang
|
Sahisnu Mazumder
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Bing Liu
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Mianwei Zhou
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Yi Chang
|
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings
Bei Shi
|
Zihao Fu
|
Lidong Bing
|
Wai Lam
|
Aspect Based Sentiment Analysis with Gated Convolutional Networks
Wei Xue
|
Tao Li
|
Exploiting Document Knowledge for Aspect-level Sentiment Classification
Ruidan He
|
Wee Sun Lee
|
Hwee Tou Ng
|
Daniel Dahlmeier
|
Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations
Jianmo Ni
|
Julian McAuley
|
Analysing Market Sentiments: Utilising Deep Learning to Exploit Relationships within the Economy
Tobias Daudert
|
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention
Maria Becker
|
Michael Staniek
|
Vivi Nastase
|
Alexis Palmer
|
Anette Frank
|
Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines
Andrew Moore
|
Paul Rayson
|
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis
Christos Baziotis
|
Nikos Pelekis
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Christos Doulkeridis
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deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets
Zi-Yuan Gao
|
Chia-Ping Chen
|
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation
Pankaj Gupta
|
Hinrich Schütze
|
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
Peng Xu
|
Andrea Madotto
|
Chien-Sheng Wu
|
Ji Ho Park
|
Pascale Fung
|
http://nlp.stanford.edu/projects/glove/
http://alt.qcri.org/semeval2014/
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Sentiment Analysis
Language
English
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