搜索结果: 1-11 共查到“应用语言学 Probabilistic”相关记录11条 . 查询时间(0.07 秒)
Probabilistic Distributional Semantics with Latent Variable Models
Distributional Semantics Latent Variable Models
2015/9/14
We describe a probabilistic framework for acquiring selectional preferences of linguistic predicates and for using the acquired representations to model the effects of context on word meaning. Our fra...
Data-Driven Parsing using Probabilistic Linear Context-Free Rewriting Systems
Context-Free Rewriting Systemsl Data-Driven Parsing
2015/9/11
This paper presents the first efficient implementation of a weighted deductive CYK parser for
Probabilistic Linear Context-Free Rewriting Systems (PLCFRSs). LCFRS, an extension of CFG,
c...
Empirical Risk Minimization for Probabilistic Grammars:Sample Complexity and Hardness of Learning
Risk Minimization Probabilistic Grammars Sample Complexity and Hardness
2015/9/10
Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. They are used ubiquitously in computational linguistics. We present a framework, r...
Probabilistic modeling of lexicalized grammars is difficult because these grammars exploit complicated data structures, such as typed feature structures. This prevents us from applying common methods ...
Weighted and Probabilistic Context-Free Grammars Are Equally Expressive
Weighted and Probabilistic Context-Free Grammars Equally Expressive
2015/9/2
This article studies the relationship between weighted context-free grammars (WCFGs), where each production is associated with a positive real-valued weight, and probabilistic context-free grammars (P...
In this article we investigate logical metonymy, that is, constructions in which the argument of a word in syntax appears to be different from that argument in logical form (e.g., enjoy the book means...
Probabilistic Top-Down Parsing and Language Modeling
Probabilistic Top-Down Parsing Language Modeling
2015/8/26
This paper describes the functioning of a broad-coverage probabilistic top-down parser, and its application to the problem of language modeling for speech recognition. The paper first introduces key n...
Advances in Probabilistic and Other Parsing Technologies
Parsing Technologies Probabilistic
2015/8/26
This book is an edited selection of papers presented at the Fifth International Workshop
on Parsing Technologies, held at MIT in September 1997. Several of the papers are
already well-known and othe...
Integrating probabilistic models of perception and interactive neural networks: a historical and tutorial review
interactive activation context in perception neural networks probabilistic computation generative models
2015/6/23
This article seeks to establish a rapprochement between explicitly Bayesian models of contextual effects in perception and neural network models of such effects, particularly the connectionist interac...
An Agenda-Based Chart Parser for Arbitrary Probabilistic Context-Free Grammars
Chart Parser Arbitrary Probabilistic Context-Free Grammars
2015/6/12
While methods for parsing probabilistic context-free grammars (PCFGs) are well known, a tabular parsing framework for arbitrary PCFGs which allows for botton-up, topdown, and other parsing strategies...
A probabilistic framework for segment-base d speech recognition
probabilistic framework segment-based speech recognition
2014/11/27
Most current speech recognizers use an observation space based on a temporal sequence of measurements extracted from fixed-length ‘‘frames’’ (e.g., Mel-cepstra). Given a hypothetical word or sub-word ...