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» Document Representation in Natural Language Text Retrieval
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IPM
2007
95views more  IPM 2007»
15 years 4 months ago
Using structural contexts to compress semistructured text collections
We describe a compression model for semistructured documents, called Structural Contexts Model (SCM), which takes advantage of the context information usually implicit in the stru...
Joaquín Adiego, Gonzalo Navarro, Pablo de l...
CIKM
2008
Springer
15 years 6 months ago
Web-scale named entity recognition
Automatic recognition of named entities such as people, places, organizations, books, and movies across the entire web presents a number of challenges, both of scale and scope. Da...
Casey Whitelaw, Alexander Kehlenbeck, Nemanja Petr...
LREC
2010
236views Education» more  LREC 2010»
15 years 5 months ago
ProPOSEC: A Prosody and PoS Annotated Spoken English Corpus
We have previously reported on ProPOSEL, a purpose-built Prosody and PoS English Lexicon compatible with the Python Natural Language ToolKit. ProPOSEC is a new corpus research res...
Claire Brierley, Eric Atwell
EMNLP
2009
15 years 2 months ago
Statistical Estimation of Word Acquisition with Application to Readability Prediction
Models of language learning play a central role in a wide range of applications: from psycholinguistic theories of how people acquire new word knowledge, to information systems th...
Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson
AIRS
2006
Springer
15 years 8 months ago
Efficient and Robust Phrase Chunking Using Support Vector Machines
Automatic text chunking is a task which aims to recognize phrase structures in natural language text. It is the key technology of knowledge-based system where phrase structures pro...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee, Show-Jane ...