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Unsupervised Cross-Domain Word Representation Learning
Danushka Bollegala
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Takanori Maehara
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Ken-ichi Kawarabayashi
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification
Jianfei Yu
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Jing Jiang
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A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
Wei Yang
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Wei Lu
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Vincent Zheng
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Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance
Yftah Ziser
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Roi Reichart
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Memory, Show the Way: Memory Based Few Shot Word Representation Learning
Jingyuan Sun
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Shaonan Wang
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Chengqing Zong
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Neural Adaptation Layers for Cross-domain Named Entity Recognition
Bill Yuchen Lin
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Wei Lu
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Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification
Jianfei Yu
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Jing Jiang
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A Joint Model of Conversational Discourse Latent Topics on Microblogs
Jing Li
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Yan Song
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Zhongyu Wei
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Kam-Fai Wong
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Pivot Based Language Modeling for Improved Neural Domain Adaptation
Yftah Ziser
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Roi Reichart
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A Domain Adaptation Regularization for Denoising Autoencoders
Stéphane Clinchant
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Gabriela Csurka
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Boris Chidlovskii
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Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction
Wenya Wang
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Sinno Jialin Pan
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Learning Domain-Sensitive and Sentiment-Aware Word Embeddings
Bei Shi
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Zihao Fu
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Lidong Bing
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Wai Lam
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UofL at SemEval-2016 Task 4: Multi Domain word2vec for Twitter Sentiment Classification
Omar Abdelwahab
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Adel Elmaghraby
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Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition
Xia Cui
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Sadamori Kojaku
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Naoki Masuda
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Danushka Bollegala
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http://nlp.stanford.edu/software/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Word Sense Disambiguation
Named Entity Recognition
Information Retrieval
Relation Extraction
Sentiment Analysis
Approach
Representation Learning
Dataset
News
Twitter
Blogs
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