Syntactic parsing is an important processing step for various language processing applications including Information Extraction, Question Answering, and Machine Translation. Parsing base Noun Phrases is one particular parsing issue that is not handled by current state-of-the-art syntactic parsers. In this paper we present research that investigates the base Noun Phrase parsing problem. We develop a base Noun Phrase parser based on several statistical models that provide promising results on a test set of 538 base Noun Phrases. The parameters of the models are estimated from the web in the form of web counts. This makes our method unsupervised with no training data being needed. © Springer-Verlag Berlin Heidelberg 2007
Deposited with permission of the author. © 2008 Dr. Kim Nam SuIn natural languages, words can occur...
This work explores a possible solution to an observed mismatch between a verb-centered syntactic ana...
Abstract: Lexical paraphrasing is the task of extracting word-level paraphrases. Lexical paraphrase...
Syntactic parsing is an important processing step for various language processing applications inclu...
This paper explores the role of lexicalization and prun-ing of grammars for base noun phrase identif...
This paper presents a noun phrase driven two-level statistical machine translation system. Noun phra...
In Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics (pp. 234-...
Noun phrases (NPs) are a crucial part of natural language, exhibiting in many cases an extremely com...
In order to achieve the long-range goal of semantic interpretation of noun compounds, it is often ...
This paper investigates the use of machine learning algorithms to label modifier-noun compounds wi...
Many syntactic treebanks and parser toolkits are developed in the past twenty years, including depen...
Human speakers generally have no difficulty in determining which noun phrases in a text or dialogue ...
This paper presents a system that retrieves descriptive phrases of proper nouns from free text. Sent...
Based on simple methods such as observing word and part of speech tag co-occurrence and clustering, ...
A natural language parser that could extract noun phrases for all medical texts would be of great ut...
Deposited with permission of the author. © 2008 Dr. Kim Nam SuIn natural languages, words can occur...
This work explores a possible solution to an observed mismatch between a verb-centered syntactic ana...
Abstract: Lexical paraphrasing is the task of extracting word-level paraphrases. Lexical paraphrase...
Syntactic parsing is an important processing step for various language processing applications inclu...
This paper explores the role of lexicalization and prun-ing of grammars for base noun phrase identif...
This paper presents a noun phrase driven two-level statistical machine translation system. Noun phra...
In Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics (pp. 234-...
Noun phrases (NPs) are a crucial part of natural language, exhibiting in many cases an extremely com...
In order to achieve the long-range goal of semantic interpretation of noun compounds, it is often ...
This paper investigates the use of machine learning algorithms to label modifier-noun compounds wi...
Many syntactic treebanks and parser toolkits are developed in the past twenty years, including depen...
Human speakers generally have no difficulty in determining which noun phrases in a text or dialogue ...
This paper presents a system that retrieves descriptive phrases of proper nouns from free text. Sent...
Based on simple methods such as observing word and part of speech tag co-occurrence and clustering, ...
A natural language parser that could extract noun phrases for all medical texts would be of great ut...
Deposited with permission of the author. © 2008 Dr. Kim Nam SuIn natural languages, words can occur...
This work explores a possible solution to an observed mismatch between a verb-centered syntactic ana...
Abstract: Lexical paraphrasing is the task of extracting word-level paraphrases. Lexical paraphrase...