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Pattern Mining for Named Entity Recognition [PDF]
, 2011 Revised selected paper of the LTC'2011 conferenceInternational audienceMany evaluation campaigns have shown that knowledge-based and data-driven approaches remain equally competitive for Named Entity Recognition.
Antoine, Jean-Yves +2 more
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Memory-based named entity recognition [PDF]
proceeding of the 6th conference on Natural language learning - COLING-02, 2002 We apply a memory-based learner to the CoNLL-2002 shared task: language-independent named entity recognition. We use three additional techniques for improving the base performance of the learner: cascading, feature selection and system combination.
openaire +3 more sources
Indirectly Named Entity Recognition
Journal of Computer-Assisted Linguistic Research, 2021 We define here indirectly named entities, as a term to denote multiword expressions referring to known named entities by means of periphrasis. While named entity recognition is a classical task in natural language processing, little attention has been paid to indirectly named entities and their treatment.
Kauffmann, Alexis +6 more
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AWdpCNER: Automated Wdp Chinese Named Entity Recognition from Wheat Diseases and Pests Text
Agriculture, 2023 Chinese named entity recognition of wheat diseases and pests is an initial and key step in constructing knowledge graphs. In the field of wheat diseases and pests, there are problems, such as lack of training data, nested entities, fuzzy entity ...
Demeng Zhang +4 more
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Biomedical Flat and Nested Named Entity Recognition: Methods, Challenges, and Advances
Applied SciencesBiomedical named entity recognition (BioNER) aims to identify and classify biomedical entities (i.e., diseases, chemicals, and genes) from text into predefined classes. This process serves as an important initial step in extracting biomedical information
Yesol Park, Gyujin Son, Mina Rho
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Neural Reranking for Named Entity Recognition
, 2017 We propose a neural reranking system for named entity recognition (NER). The basic idea is to leverage recurrent neural network models to learn sentence-level patterns that involve named entity mentions.
Dong, Fei, Yang, Jie, Zhang, Yue
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Pattern Mining for Named Entity Recognition [PDF]
, 2014 International audienceMany evaluation campaigns have shown that knowledge-based and data-driven approaches remain equally competitive for Named Entity Recognition.
B Bouchou +5 more
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OWNER — Toward Unsupervised Open-World Named Entity Recognition
IEEE AccessNamed Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), traditionally addressed through supervised learning, which requires extensive annotated corpora. This requirement poses challenges, particularly in specialized domains
Pierre-Yves Genest +3 more
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Named Entity Recognition Using Web Document Corpus
, 2011 This paper introduces a named entity recognition approach in textual corpus. This Named Entity (NE) can be a named: location, person, organization, date, time, etc., characterized by instances.
Karaa, Wahiba Ben Abdessalem
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Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity [PDF]
, 2006 In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers ...
Matwin, Stan +2 more
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