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Named entity

In information extraction, a named entity is a real-world object, such as persons, locations, organizations, products, etc., that can be denoted with… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Comunicacio presentada a la 2016 Conference of the North American Chapter of the Association for Computational Linguistics… Expand
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Highly Cited
2016
Highly Cited
2016
Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature… Expand
Highly Cited
2011
Highly Cited
2011
People tweet more than 100 Million times daily, yielding a noisy, informal, but sometimes informative corpus of 140-character… Expand
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Highly Cited
2009
Highly Cited
2009
We analyze some of the fundamental design challenges and misconceptions that underlie the development of an efficient and robust… Expand
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Review
2007
Review
2007
This survey covers fifteen years of research in the Named Entity Recognition and Classification (NERC) field, from 1991 to 2006… Expand
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Highly Cited
2007
Highly Cited
2007
This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information… Expand
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Highly Cited
2006
Highly Cited
2006
We present a new method for detecting and disambiguating named entities in open domain text. A disambiguation SVM kernel is… Expand
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Review
2005
Review
2005
The KnowItAll system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or… Expand
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Highly Cited
2002
Highly Cited
2002
This paper proposes a Hidden Markov Model (HMM) and an HMM-based chunk tagger, from which a named entity (NE) recognition (NER… Expand
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Highly Cited
1999
Highly Cited
1999
This paper discusses the use of unlabeled examples for the problem of named entity classification. A large number of rules is… Expand
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