نتایج جستجو برای: ner

تعداد نتایج: 2811  

2016
Padmaja Sharma Utpal Sharma Jugal Kalita Nancy Chinchor Eric Brown Lisa Ferro John Lafferty Andrew McCallum Scott Miller Michael Crystal Heidi Fox Lance Ramshaw Richard Schwartz

Named Entity Recognition is a process through which a program extracts proper nouns in texts and associates them with a proper tag. NER has made significant progress in European languages, but in Indian languages due to the lack of effort as well as proper resources, it remains a challenging task. Recognizing ambiguities and assigning the correct tags to the names is the main goal of NER. Thus ...

2007
Xinnian Mao Wei Xu Yuan Dong Saike He Haila Wang

Named Entity Recognition (NER) is always limited by its lower recall resulting from the asymmetric data distribution where the NONE class dominates the entity classes. This paper presents an approach that exploits non-local information to improve the NER recall. Several kinds of non-local features encoding entity token occurrence, entity boundary and entity class are explored under Conditional ...

Journal: :Genetics 1998
B S Lee C P Lichtenstein B Faiola L A Rinckel W Wysock M J Curcio D J Garfinkel

rtt4-1 (regulator of Ty transposition) is a cellular mutation that permits a high level of spontaneous Ty1 retrotransposition in Saccharomyces cerevisiae. The RTT4 gene is allelic with SSL2 (RAD25), which encodes a DNA helicase present in basal transcription (TFIIH) and nucleotide excision repair (NER) complexes. The ssl2-rtt (rtt4-1) mutation stimulates Ty1 retrotransposition, but does not alt...

2007
Diego Mollá

Current text-based question answering (QA) systems usually contain a named entity recogniser (NER) as a core component. Named entity recognition has traditionally been developed as a component for information extraction systems, and current techniques are focused on this end use. However, no formal assessment has been done on the characteristics of a NER within the task of question answering. I...

Journal: :IEICE Transactions on Information and Systems 2023

Chinese Named Entity Recognition is the fundamental technology in field of Natural Language Process. It extensively adopted into information extraction, intelligent question answering, and knowledge graph. Nevertheless, due to diversity complexity Chinese, most NER methods fail sufficiently capture character granularity semantics, which affects performance NER. In this work, we propose DSKE-Chi...

2011
Dick Jaarsma Ingrid van der Pluijm Monique C. de Waard Elize D. Haasdijk Renata Brandt Marcel Vermeij Yvonne Rijksen Alex Maas Harry van Steeg Jan H. J. Hoeijmakers Gijsbertus T. J. van der Horst

Neuronal degeneration is a hallmark of many DNA repair syndromes. Yet, how DNA damage causes neuronal degeneration and whether defects in different repair systems affect the brain differently is largely unknown. Here, we performed a systematic detailed analysis of neurodegenerative changes in mouse models deficient in nucleotide excision repair (NER) and transcription-coupled repair (TCR), two ...

Journal: :The British journal of nutrition 2013
James D LeCheminant Ed Christenson Bruce W Bailey Larry A Tucker

Few experimental data are available to support the notion that reducing night-time eating changes total daily energy intake (EI) or body weight in healthy adults. The present study primarily examined the short-term effect of night eating restriction (NER) on daily EI in healthy young men. It secondarily examined body weight and moods associated with NER. Using a cross-over design, twenty-nine m...

2002
John D. Burger John C. Henderson William T. Morgan

Named entity recognition (NER) is a subtask of widely-recognized utility of information extraction (IE). NER has been explored in depth to provide rapid characterization of newswire data (Sundheim, 1995; Palmer and Day, 1997). The NER task involves both identification of spans of text referring to named entities, and categorization of these entities into classes based on the role they fill in c...

2014
Prakash Hiremath Shambhavi B. R

Named Entity Recognition (NER) is subtask of information extraction that seeks to locate and classify the elements in some text into pre-defined categories. NER finds its application in Natural Language Processing tasks like machine translation, question-answering systems and automatic summarization. The approaches to NER are rule based, statistics based or a combination of both. In this paper,...

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