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Shallow Parsing with Conditional Random Fields

by Fei Sha, Fernando Pereira , 2003
"... Conditional random fields for sequence labeling offer advantages over both generative models like HMMs and classifiers applied at each sequence position. Among sequence labeling tasks in language processing, shallow parsing has received much attention, with the development of standard evaluati ..."
Abstract - Cited by 581 (8 self) - Add to MetaCart
Conditional random fields for sequence labeling offer advantages over both generative models like HMMs and classifiers applied at each sequence position. Among sequence labeling tasks in language processing, shallow parsing has received much attention, with the development of standard

Memory-Based Shallow Parsing

by Walter Daelemans, Sabine Buchholz, Jorn Veenstra - In Proceedings of CoNLL , 1999
"... We present a memory-based learning (MBL) approach to shallow parsing in which POS tagging, chunking, and identification of syntactic relations are formulated as nemory-based modules. The experiments reported in this paper show competitive results, the Fa= for the Wall Street Journal (WSJ) treebank i ..."
Abstract - Cited by 86 (20 self) - Add to MetaCart
We present a memory-based learning (MBL) approach to shallow parsing in which POS tagging, chunking, and identification of syntactic relations are formulated as nemory-based modules. The experiments reported in this paper show competitive results, the Fa= for the Wall Street Journal (WSJ) treebank

Shallow Parsing and Disambiguation Engine

by Adam Przepiórkowski - Proceedings of the 3rd Language & Technology Conference , 2007
"... This article presents a formalism and a beta version of a new tool for simultaneous morphosyntactic disambiguation and shallow parsing. Unlike in the case of other shallow parsing formalisms, the rules of the grammar allow for explicit morphosyntactic disambiguation statements, independently of stru ..."
Abstract - Cited by 10 (2 self) - Add to MetaCart
This article presents a formalism and a beta version of a new tool for simultaneous morphosyntactic disambiguation and shallow parsing. Unlike in the case of other shallow parsing formalisms, the rules of the grammar allow for explicit morphosyntactic disambiguation statements, independently

Shallow Parsing with Apache UIMA

by Graham Wilcock
"... Apache UIMA (Unstructured Information Management Architecture) is a framework for linguistic annotation and text analytics. Its support for standards, interoperability and scalability makes UIMA attractive for NLP researchers. The paper describes shallow parsing as an example of configuring existing ..."
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Apache UIMA (Unstructured Information Management Architecture) is a framework for linguistic annotation and text analytics. Its support for standards, interoperability and scalability makes UIMA attractive for NLP researchers. The paper describes shallow parsing as an example of configuring

Shallow Parsing for Portuguese--Spanish

by Machine Translation Alicia, Alicia Garrido-alenda, Patrcia Gilabert-zarco, Juan Antonio Perez-ortiz, Antonio Pertusa-ibanez, Gema Ramrez-sanchez, Felipe Sanchez-martnez, Miriam A. Scalco, Mikel L. Forcada - GEMA RAMÍREZ-SÁNCHEZ, FELIPE SÁNCHEZ-MARTÍNEZ, MÍRIAM A. SCALCO, MIKEL L. FORCADA , 2004
"... To produce fast, reasonably intelligible and easily correctable translations between related languages, it su#ces to use a machine translation strategy which uses shallow parsing techniques to refine what would usually be called word-for-word machine translation. This paper describes the applica ..."
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To produce fast, reasonably intelligible and easily correctable translations between related languages, it su#ces to use a machine translation strategy which uses shallow parsing techniques to refine what would usually be called word-for-word machine translation. This paper describes

Memory-Based Shallow Parsing

by Erik F. Tjong Kim Sang, James Hammerton, Miles Osborne, Susan Armstrong, Walter Daelemans - Journal of Machine Learning Research , 2002
"... We present memory-based learning approaches to shallow parsing and apply these to five tasks: base noun phrase identification, arbitrary base phrase recognition, clause detection, noun phrase parsing and full parsing. We use feature selection techniques and system combination methods for improvin ..."
Abstract - Cited by 23 (0 self) - Add to MetaCart
We present memory-based learning approaches to shallow parsing and apply these to five tasks: base noun phrase identification, arbitrary base phrase recognition, clause detection, noun phrase parsing and full parsing. We use feature selection techniques and system combination methods

Shallow Parsing by Inferencing with Classifiers

by Vasin Punyakanok, Dan Roth - In CoNLL , 2000
"... We study the problem of identifying phrase structure. We formalize it as the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints, and develop two general approaches for it. The first is a Markovian approach th ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
of shallow parsing. 1 1 Identifying Phrase Structure The problem of identifying phrase structure can be formalized as follows. Given an input string O =! o 1 ; o 2 ; : : : ; o n ?; a phrase is a substring of consecutive input symbols o i ; o i+1 ; : : : ; o j . Some external mechanism is assumed

A Learning Approach to Shallow Parsing

by Marcia Muñoz , Vasin Punyakanok, Dan Roth, Day Zimak - IN PROCEEDINGS OF EMNLP-WVLC'99. ASSOCIATION FOR COMPUTATIONAL LINGUISTICS , 1999
"... A SNoW based learning approach to shallow parsing tasks is presented and studied experimentally. The approach learns to identify syntactic patterns by combining simple predictors to produce a coherent inference. Two instantiations of this approach are studied and experimental results for Noun-Phrase ..."
Abstract - Cited by 66 (23 self) - Add to MetaCart
A SNoW based learning approach to shallow parsing tasks is presented and studied experimentally. The approach learns to identify syntactic patterns by combining simple predictors to produce a coherent inference. Two instantiations of this approach are studied and experimental results for Noun

Exploring Evidence for Shallow Parsing

by Xin Li, Dan Roth , 2001
"... Signi cant amount of work has been devoted recently to develop learning techniques that can be used to generate partial (shallow) analysis of natural language sentences rather than a full parse. In this work we set out to evaluate whether this direction is worthwhile by comparing a learned shallow p ..."
Abstract - Cited by 43 (7 self) - Add to MetaCart
Signi cant amount of work has been devoted recently to develop learning techniques that can be used to generate partial (shallow) analysis of natural language sentences rather than a full parse. In this work we set out to evaluate whether this direction is worthwhile by comparing a learned shallow

Shallow-Parsing Stylebook for German

by Frank Henrik Müller , 2002
"... The presented system provides a shallow syntactic annotation for unre-stricted German text. It requires POS-annotated text and annotates the layers of chunks, topological fields and clauses. This stylebook gives an overview of the various categories annotated in those different layers. The method-ol ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
The presented system provides a shallow syntactic annotation for unre-stricted German text. It requires POS-annotated text and annotates the layers of chunks, topological fields and clauses. This stylebook gives an overview of the various categories annotated in those different layers. The method
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