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Hits 21 – 38 of 38

21
Translate and label! An encoder-decoder approach for cross-lingual semantic role labeling
Daza, Angel [Verfasser]; Frank, Anette [Verfasser]; Inui, Kentaro [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2019
DNB Subject Category Language
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22
Cross-lingual semantic specialization via lexical relation induction
Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2019
BASE
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23
Do we really need fully unsupervised cross-lingual embeddings?
Vulić, Ivan; Glavaš, Goran; Reichart, Roi. - : Association for Computational Linguistics, 2019
BASE
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24
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions ...
BASE
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25
Unsupervised Learning of Style-sensitive Word Vectors ...
BASE
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26
The mechanism of additive composition [<Journal>]
Tian, Ran [Verfasser]; Okazaki, Naoaki [Sonstige]; Inui, Kentaro [Sonstige]
DNB Subject Category Language
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27
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization ...
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 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1704.07986
https://dx.doi.org/10.48550/arxiv.1704.07986
BASE
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28
An Attentive Neural Architecture for Fine-grained Entity Type Classification ...
BASE
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29
Advances in probabilistic and other parsing technologies
Hahn, Udo (Mitarb.); Sornlertlamvanich, Virach (Mitarb.); Vijay-Shanker, K. (Mitarb.). - Dordrecht [u.a.] : Kluwer, 2000
BLLDB
UB Frankfurt Linguistik
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30
Integration of speech and image understanding : proceedings ; 21 September 1999, Corfu, Greece
Roy, Deb K. (Mitarb.); Inui, Kentaro (Mitarb.); Denzler, J. (Mitarb.). - Los Alamitos, Calif. [u.a.] : IEEE Computer Society, 1999
BLLDB
UB Frankfurt Linguistik
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31
Articles - Selective Sampling for Example-based Word Sense Disambiguation
In: Computational linguistics. - Cambridge, Mass. : MIT Press 24 (1998) 4, 573-598
OLC Linguistik
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32
Selective sampling for example-based word sense disambiguation
In: Computational linguistics. - Cambridge, Mass. : MIT Press 24 (1998) 4, 573-597
BLLDB
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33
A New Probabilistic LR Language Model for Statistical Parsing
In: ftp://ftp.cs.titech.ac.jp/lab/tanaka/papers/97/inui97a.ps.gz (1997)
BASE
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34
Natural Language Analysis and Generation Technologies
In: ftp://ftp.cs.titech.ac.jp/pub/TR/93/TR93-0028.ps.gz (1993)
BASE
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35
Text Revision: A Model and Its Implementation
In: ftp://ftp.cs.titech.ac.jp/pub/TR/92/TR92-0011.ps.gz (1992)
BASE
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36
An Empirical Study on Statistical Disambiguation of Japanese Dependency Structures Using a Lexically Sensitive Language Model
In: http://galaga.jaist.ac.jp:8000/~kshirai/papers/shirai97d.pdf
BASE
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37
An Empirical Evaluation on Statistical Parsing of Japanese Sentences using Lexical Association Statistics
In: http://www.aclweb.org/anthology-new/W/W98/W98-1510.pdf
BASE
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38
Fine-grained Utterance Delimitation and Organization in Incremental Explanation Generation
In: ftp://ftp.cs.titech.ac.jp/lab/tanaka/papers/97/inui97d.ps.gz
BASE
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