Results 1 - 10
of
448
Shallow Parsing with Conditional Random Fields
, 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
- 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
- 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
"... 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 ..."
Abstract
- Add to MetaCart
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
- 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 ..."
Abstract
- Add to MetaCart
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
- 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
- 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
- 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
, 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
, 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
Results 1 - 10
of
448