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Cross-lingual semantic specialization via lexical relation induction
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23 |
Do we really need fully unsupervised cross-lingual embeddings?
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24 |
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions ...
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27 |
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization ...
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Abstract:
We present in this paper our approach for modeling inter-topic preferences of Twitter users: for example, those who agree with the Trans-Pacific Partnership (TPP) also agree with free trade. This kind of knowledge is useful not only for stance detection across multiple topics but also for various real-world applications including public opinion surveys, electoral predictions, electoral campaigns, and online debates. In order to extract users' preferences on Twitter, we design linguistic patterns in which people agree and disagree about specific topics (e.g., "A is completely wrong"). By applying these linguistic patterns to a collection of tweets, we extract statements agreeing and disagreeing with various topics. Inspired by previous work on item recommendation, we formalize the task of modeling inter-topic preferences as matrix factorization: representing users' preferences as a user-topic matrix and mapping both users and topics onto a latent feature space that abstracts the preferences. Our experimental ... : To appear in ACL2017 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1704.07986 https://dx.doi.org/10.48550/arxiv.1704.07986
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28 |
An Attentive Neural Architecture for Fine-grained Entity Type Classification ...
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33 |
A New Probabilistic LR Language Model for Statistical Parsing
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In: ftp://ftp.cs.titech.ac.jp/lab/tanaka/papers/97/inui97a.ps.gz (1997)
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34 |
Natural Language Analysis and Generation Technologies
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In: ftp://ftp.cs.titech.ac.jp/pub/TR/93/TR93-0028.ps.gz (1993)
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35 |
Text Revision: A Model and Its Implementation
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In: ftp://ftp.cs.titech.ac.jp/pub/TR/92/TR92-0011.ps.gz (1992)
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36 |
An Empirical Study on Statistical Disambiguation of Japanese Dependency Structures Using a Lexically Sensitive Language Model
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In: http://galaga.jaist.ac.jp:8000/~kshirai/papers/shirai97d.pdf
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37 |
An Empirical Evaluation on Statistical Parsing of Japanese Sentences using Lexical Association Statistics
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In: http://www.aclweb.org/anthology-new/W/W98/W98-1510.pdf
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38 |
Fine-grained Utterance Delimitation and Organization in Incremental Explanation Generation
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In: ftp://ftp.cs.titech.ac.jp/lab/tanaka/papers/97/inui97d.ps.gz
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