BibSonomy :: publication ::

tag user group author concept BibTeX key search:all search:diego_ma

The blue social bookmark and publication sharing system.

entry of diego_ma:

(0)

This publication has not been reviewed yet.

rating distribution

average user rating

The average rating is computed over all reviews. However, some of them may be invisible to you due to the visibility setting chosen by the reviewers.

(0.0 of 5.0 based on 0 reviews)

Reducing Question Answering Input Data Using Named Entity Recognition

by: Elisa Noguera, Antonio Toral, Fernando Llopis, and Rafael Muñoz

In: Proceedings of the 8th International Conference on Text, Speech \& Dialogue (2005) , p. 428-434.

Resources (URL, PDF, PS...)

URL:	http://dx.doi.org/10.1007/11551874_55

In a previous paper we proved that Named Entity Recognition plays an important role to improve Question Answering by both increasing the quality of the data and by reducing its quantity. Here we present a more in-depth discussion, studying several ways in which NER can be applied in order to produce a maximum data reduction. We achieve a 60% reduction without significant data loss and a 92.5% with a reasonable implication in data quality.

BibTeX record

@inproceedings{Noguera:2005,
  abstract = {In a previous paper we proved that Named Entity Recognition plays an important role to improve Question Answering by both increasing the quality of the data and by reducing its quantity. Here we present a more in-depth discussion, studying several ways in which NER can be applied in order to produce a maximum data reduction. We achieve a 60% reduction without significant data loss and a 92.5% with a reasonable implication in data quality.},
  added-at = {2007-12-14T02:44:32.000+0100},
  author = {Noguera, Elisa and Toral, Antonio and Llopis, Fernando and Mu{\~n}oz, Rafael},
  biburl = {http://www.bibsonomy.org/bibtex/28a56675983754175b10280cc944d8e92/diego_ma},
  booktitle = {Proceedings of the 8th International Conference on Text, Speech \& Dialogue},
  interhash = {cc98195db681ce8d82bb6d6572e77618},
  intrahash = {8a56675983754175b10280cc944d8e92},
  keywords = {question_answering named_entities},
  pages = {428-434},
  timestamp = {2007-12-14T02:44:32.000+0100},
  title = {Reducing Question Answering Input Data Using Named Entity Recognition},
  url = {http://dx.doi.org/10.1007/11551874_55},
  year = 2005
}

Endnote record

BibSonomy :: publication ::

Reducing Question Answering Input Data Using Named Entity Recognition

Resources (URL, PDF, PS...)

Abstract

BibTeX record

Endnote record