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TREC
2000
13 years 9 months ago
The PISAB Question Answering System
The PISAB Question Answering system is based on a combination of Information Extraction and Information Retrieval techniques. Knowledge extracted from documents is modeled as a se...
Giuseppe Attardi, Cristian Burrini
LREC
2010
175views Education» more  LREC 2010»
13 years 9 months ago
Adapting a resource-light highly multilingual Named Entity Recognition system to Arabic
We present a working Arabic information extraction (IE) system that is used to analyze large volumes of news texts every day to extract the named entity (NE) types person, organiz...
Wajdi Zaghouani, Bruno Pouliquen, Mohamed Ebrahim,...
COLING
2010
13 years 2 months ago
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...
Son Doan, Hua Xu
TAL
2010
Springer
13 years 6 months ago
Portable Extraction of Partially Structured Facts from the Web
A novel fact extraction task is defined to fill a gap between current information retrieval and information extraction technologies. It is shown that it is possible to extract usef...
Andrew Salway, Liadh Kelly, Inguna Skadina, Gareth...
NLDB
2004
Springer
14 years 28 days ago
Acquiring Selectional Preferences from Untagged Text for Prepositional Phrase Attachment Disambiguation
Abstract. Extracting information automatically from texts for database representation requires previously well-grouped phrases so that entities can be separated adequately. This pr...
Hiram Calvo, Alexander F. Gelbukh