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21
Encoding syntactic representations with a neural network for sentiment collocation extraction [<Journal>]
Zhao, Yanyan [Verfasser]; Qin, Bing [Sonstige]; Liu, Ting [Sonstige]
DNB Subject Category Language
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22
CoNLL 2017 Shared Task System Outputs
Zeman, Daniel; Potthast, Martin; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017
BASE
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23
Neural Personalized Response Generation as Domain Adaptation ...
Zhang, Weinan; Liu, Ting; Wang, Yifa. - : arXiv, 2017
BASE
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24
Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning ...
BASE
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25
Additional file 1: of Prediction of the next highly pathogenic avian influenza pandemic that can cause illness in humans ...
Zhang, Zhong-Wei; Liu, Ting; Zeng, Jian. - : Figshare, 2015
BASE
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26
Additional file 1: of Prediction of the next highly pathogenic avian influenza pandemic that can cause illness in humans ...
Zhang, Zhong-Wei; Liu, Ting; Zeng, Jian. - : Figshare, 2015
BASE
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27
Modeling Leadership Behavior of Players in Virtual Worlds
In: Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment; Vol. 11 No. 1 (2015): Eleventh Artificial Intelligence and Interactive Digital Entertainment Conference ; 2334-0924 ; 2326-909X (2015)
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28
Effective LSTMs for Target-Dependent Sentiment Classification ...
Abstract: Target-dependent sentiment classification remains a challenge: modeling the semantic relatedness of a target with its context words in a sentence. Different context words have different influences on determining the sentiment polarity of a sentence towards the target. Therefore, it is desirable to integrate the connections between target word and context words when building a learning system. In this paper, we develop two target dependent long short-term memory (LSTM) models, where target information is automatically taken into account. We evaluate our methods on a benchmark dataset from Twitter. Empirical results show that modeling sentence representation with standard LSTM does not perform well. Incorporating target information into LSTM can significantly boost the classification accuracy. The target-dependent LSTM models achieve state-of-the-art performances without using syntactic parser or external sentiment lexicons. ... : 7 pages, 3 figures published in COLING 2016 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1512.01100
https://arxiv.org/abs/1512.01100
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29
Question Popularity Analysis and Prediction in Community Question Answering Services
Liu, Ting; Zhang, Wei-Nan; Cao, Liujuan. - : Public Library of Science, 2014
BASE
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30
Emotion Analysis Platform on Chinese Microblog ...
Tang, Duyu; Qin, Bing; Liu, Ting. - : arXiv, 2014
BASE
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31
Modeling Sociocultural phenomena in discourse
In: Natural language engineering. - Cambridge : Cambridge University Press 19 (2013) 2, 213-257
OLC Linguistik
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32
Phrasal Paraphrase Based Question Reformulation for Archived Question Retrieval
Zhang, Yu; Zhang, Wei-Nan; Lu, Ke. - : Public Library of Science, 2013
BASE
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33
Correction: Phrasal Paraphrase Based Question Reformulation for Archived Question Retrieval
Zhang, Yu; Zhang, Wei-Nan; Lu, Ke. - : Public Library of Science, 2013
BASE
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34
Chinese Dependency Treebank 1.0
Che, Wanxiang; Li, Zhenghua; Liu, Ting. - : Linguistic Data Consortium, 2012. : https://www.ldc.upenn.edu, 2012
BASE
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35
Chinese Dependency Treebank 1.0 ...
Che, Wanxiang; Li, Zhenghua; Liu, Ting. - : Linguistic Data Consortium, 2012
BASE
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36
Object-control Skills in Hispanic Preschool Children Enrolled in Head Start
In: Perceptual & motor skills. - Thousand Oaks, CA : SAGE Publications 112 (2011) 1, 193-200
OLC Linguistik
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37
Extracting paraphrase patterns from bilingual parallel corpora
In: Natural language engineering. - Cambridge : Cambridge University Press 15 (2009) 4, 503-526
BLLDB
OLC Linguistik
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38
Effectiveness of Auditory and Visual Sensory Feedback For Children When Learning a Continuous Motor Task
In: Perceptual & motor skills. - Thousand Oaks, CA : SAGE Publications 109 (2009) 3, 804-816
OLC Linguistik
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39
Semantic role labeling using a grammar-driven convolution tree kernel
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 16 (2008) 7, 1315-1329
BLLDB
OLC Linguistik
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40
Automatic conversion from lexical words to prosodic words for Mandarin text-to-speech system
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 10 (2007) 1, 45-55
BLLDB
OLC Linguistik
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