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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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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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Abstract:
This paper presents a newly formalized probabilistic LR language model. Our model inherits its essential features from Briscoe and Carroll's generalized probabilistic LR (PLR) model [3], which obtains context-sensitivity by assigning a probability to each LR parsing action according to its left and right context. However, our model is simpler while maintaining a higher degree of context-sensitivity as compared to Briscoe and Carroll's model. In this paper, we first formalize our PLR model and enumerate some of its features. We then discuss the differences between Briscoe and Carroll's model and ours. We also qualitatively compare a model based on canonical LR with one based on lookahead LR. 1 Introduction The increasing availability of text corpora has been encouraging researchers to explore statistical approaches for various tasks in natural language processing. Statistical parsing is one of these approaches. In statistical parsing, one of the most straightforward methodologies is to.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.4148
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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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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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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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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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