Results 21 to 30 of about 304,629 (283)
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.
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A named entity recognition dataset for Turkish
2016 24th Signal Processing and Communication Application Conference (SIU), 2016 Named entity recognition is one of the important topics in the research area of natural language processing. Named entity recognition studies conducted on Turkish texts are quite limited, compared to the studies on other languages. Besides, the lack of common data sets makes the comparison of different approaches harder.
Kucuk, Dilek +2 more
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Named entity recognition in Wikipedia [PDF]
Proceedings of the 2009 Workshop on The People's Web Meets NLP Collaboratively Constructed Semantic Resources - People's Web '09, 2009 Named entity recognition (NER) is used in many domains beyond the newswire text that comprises current gold-standard corpora. Recent work has used Wikipedia's link structure to automatically generate near gold-standard annotations. Until now, these resources have only been evaluated on newswire corpora or themselves.
Joel Nothman +4 more
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Bipartite Flat-Graph Network for Nested Named Entity Recognition
, 2020 In this paper, we propose a novel bipartite flat-graph network (BiFlaG) for nested named entity recognition (NER), which contains two subgraph modules: a flat NER module for outermost entities and a graph module for all the entities located in inner ...
Luo, Ying, Zhao, Hai
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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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Proceedings of the 11th Knowledge Capture Conference, 2021 Extraction of categorised named entities from text is a complex task given the availability of a variety of Named Entity Recognition (NER) models and the unstructured information encoded in different source document formats. Processing the documents to extract text, identifying suitable NER models for a task, and obtaining statistical information is ...
Armin Haller +5 more
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The multilingual named entity recognition framework [PDF]
Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - EACL '03, 2003 This paper presents a multilingual system designed to recognize named entities in a wide variety of languages (currently more than 12 languages are concerned). The system includes original strategies to deal with a wide variety of encoding character sets, analysis strategies and algorithms to process these languages.
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Biomedical Named Entity Recognition at Scale [PDF]
, 2021 Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information retrieval, etc. In the medical domain, NER plays a crucial role by extracting meaningful chunks from clinical notes and reports, which are then fed to downstream tasks like assertion status ...
Veysel Kocaman, David Talby
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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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