Difference between revisions of "Two-Stage Approach to Named Entity Recognition Using Wikipedia and Dbpedia"
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| + | | title = Two-Stage Approach to Named Entity Recognition Using Wikipedia and Dbpedia | ||
| + | | date = 2017 | ||
| + | | authors = [[Seonghan Ryu]]<br />[[Hwanjo Yu]]<br />[[Gary Geunbae Lee]] | ||
| + | | doi = 10.1145/3022227.3022299 | ||
| + | | link = http://dl.acm.org/citation.cfm?id=3022299 | ||
| + | }} | ||
'''Two-Stage Approach to Named Entity Recognition Using Wikipedia and Dbpedia''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Seonghan Ryu]], [[Hwanjo Yu]] and [[Gary Geunbae Lee]]. | '''Two-Stage Approach to Named Entity Recognition Using Wikipedia and Dbpedia''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Seonghan Ryu]], [[Hwanjo Yu]] and [[Gary Geunbae Lee]]. | ||
== Overview == | == Overview == | ||
In natural language understanding, extraction of [[named entity]] (NE) mentions in given text and classification of the mentions into pre-defined NE types are important processes. Most NE recognition (NER) relies on resources such as a training corpus or NE dictionary, but collecting them manually is laborious and time-consuming. This paper proposes a two-stage approach based on nothing but [[Wikipedia]] and [[DBpedia]] to implement NER. This paper also addresses technical problems in developing Korean NER. In experiments, the proposed method can recognize NEs in short question sentences with 14.2% errors. | In natural language understanding, extraction of [[named entity]] (NE) mentions in given text and classification of the mentions into pre-defined NE types are important processes. Most NE recognition (NER) relies on resources such as a training corpus or NE dictionary, but collecting them manually is laborious and time-consuming. This paper proposes a two-stage approach based on nothing but [[Wikipedia]] and [[DBpedia]] to implement NER. This paper also addresses technical problems in developing Korean NER. In experiments, the proposed method can recognize NEs in short question sentences with 14.2% errors. | ||
Revision as of 07:40, 19 November 2020
Authors | Seonghan Ryu Hwanjo Yu Gary Geunbae Lee |
|---|---|
Publication date | 2017 |
DOI | 10.1145/3022227.3022299 |
Links | Original |
Two-Stage Approach to Named Entity Recognition Using Wikipedia and Dbpedia - scientific work related to Wikipedia quality published in 2017, written by Seonghan Ryu, Hwanjo Yu and Gary Geunbae Lee.
Overview
In natural language understanding, extraction of named entity (NE) mentions in given text and classification of the mentions into pre-defined NE types are important processes. Most NE recognition (NER) relies on resources such as a training corpus or NE dictionary, but collecting them manually is laborious and time-consuming. This paper proposes a two-stage approach based on nothing but Wikipedia and DBpedia to implement NER. This paper also addresses technical problems in developing Korean NER. In experiments, the proposed method can recognize NEs in short question sentences with 14.2% errors.
