Work

A survey of kernel methods for relation extraction

Year: 2010

Type: conference-paper

Abstract: In this paper we present the main kernel approaches to the problem of relation extraction from unstructured texts. After a brief introduction to the problem and its characterization as a classication task, we present a survey of the methods and techniques used, and the results obtained. We nally suggest some future lines of work, such as the use of information retrieval techniques and the development of event factuality identication methods.

Source: HAL

Authors: Guillermo Moncecchi, Jean-Luc Minel, Dina Wonsever

Institution: Modèles Dynamiques Corpus

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2606994809

FWCI: 1.708

Cites: 21

Cited by: 9

Related to: 10