Корпус Брауна

material ID: browncorpus

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Part-of-Speech Tagging Using a Variable Memory Markov Model

Authors: nan

Publication: TIPSTER (1994)

DOI: nan

We present a new approach to disambiguating syn- tactically ambiguous words in context, based on Variable Memory Markov (VMM) models. In con- trast to fixed-length Markov models, which predict based …...

35676

Phonological Parsing for Bi-directional Letter-to-Sound/Sound-to-Letter Generation

Authors: nan

Publication: TIPSTER (1994)

DOI: nan

In this paper, we describe a reversible letter-to-sound/sound- to-letter generation system based on an approach which com- bines a rule-based formalism with data-driven techniques. We adopt a probabilistic parsing strategy …...

13174

Distributional Part-of-Speech Tagging

Authors: nan

Publication: TIPSTER (1995)

DOI: nan

This paper presents an algorithm for tag- ging words whose part-of-speech proper- ties are unknown. Unlike previous work, the algorithm categorizes word tokens in con$ezt instead of word ~ypes. The …...

43939

An Empirical Study of Smoothing Techniques for Language Modeling

Authors: nan

Publication: TIPSTER (1996)

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We present an extensive empirical com- parison of several smoothing techniques in the domain of language modeling, includ- ing those described by Jelinek and Mer- cer (1980), Katz (1987), and …...

35520

Word Sense Disambiguation using Conceptual Density

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Publication: TIPSTER (1996)

DOI: nan

. This paper presents a method for the resolution of lexical ambiguity of nouns and its automatic evaluation over the Brown Corpus. The method relies on the use oil' the …...

7063

The Domain Dependence of Parsing

Authors: nan

Publication: TIPSTER (1997)

DOI: nan

A major concern in corpus based ap- proaches is that the applicability of the ac- quired knowledge may be limited by some feature of the corpus, in particular, the no- …...

41523

A Connectionist Architecture for Learning to Parse

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Publication: TIPSTER (1998)

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We present a connectionist architecture and demon- strate that it can learn syntactic parsing from a cor- pus of parsed text. The architecture can represent syntactic constituents, and can learn …...

6819

Unsupervised Learning of Word Boundary with Description Length Gain

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Publication: TIPSTER (1999)

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This paper presents an unsupervised approach to lexical acquisition with the goodness measure de- scription length gain (DLG) formulated following classic information theory within the minimum de- scription length (MDL) …...

41364

Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques

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Publication: TIPSTER (2002)

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We present a stochastic parsing system consisting of a Lexical-Functional Gram- mar (LFG), a constraint-based parser and a stochastic disambiguation model. We re- port on the results of applying this …...

35211

Towards Robust Semantic Role Labeling

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Most research on semantic role labeling (SRL) has been focused on training and evaluating on the same corpus in order to develop the technology. This strategy, while appropriate for initiating …...

24083

Semi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks

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Recently, various unsupervised representation learning approaches have been investigated to produce augmenting features for natural language processing systems in the open-domain learning scenarios. In this paper, we propose a dynamic …...

5889

Parser lexicalisation through self-learning

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We describe a new self-learning framework for parser lexicalisation that requires only a plain-text corpus of in-domain text. The method first creates augmented versions of de- pendency graphs by applying …...

23705

Linguistically Motivated Features for Classifying Shorter Text into Fiction and Non-Fiction Genre

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AbstractThis work deploys linguistically motivated features to classify paragraph-level text into fiction and non-fiction genre using a logistic regression model and infers lexical and syntactic properties that distinguish the two …...

5138