Results 1 - 10 of 2,515

Named Entity Recognition without Gazetteers

by Andrei Mikheev, Marc Moens, Claire Grover , 1999
"... It is often claimed that Named Entity recognition systems need extensive gazetteers--lists of names of people, organisations, locations, and other named entities. Indeed, the compilation of such gazetteers is sometimes mentioned as a bottleneck in the design of Named Entity recognition systems. We r ..."
Abstract - Cited by 168 (6 self) - Add to MetaCart
It is often claimed that Named Entity recognition systems need extensive gazetteers--lists of names of people, organisations, locations, and other named entities. Indeed, the compilation of such gazetteers is sometimes mentioned as a bottleneck in the design of Named Entity recognition systems. We

Nested Named Entity Recognition

by Jenny Rose Finkel, Christopher D. Manning
"... Many named entities contain other named entities inside them. Despite this fact, the field of named entity recognition has almost entirely ignored nested named entity recognition, but due to technological, rather than ideological reasons. In this paper, we present a new technique for recognizing nes ..."
Abstract - Cited by 32 (1 self) - Add to MetaCart
Many named entities contain other named entities inside them. Despite this fact, the field of named entity recognition has almost entirely ignored nested named entity recognition, but due to technological, rather than ideological reasons. In this paper, we present a new technique for recognizing

Named Entity Recognition

by Vijay Krishnan, Vignesh Ganapathy , 2005
"... Named entity recognition (NER) is a subtask of information extraction that seeks to locate and classify atomic elements in text into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. We use the JavaNLP ..."
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Named entity recognition (NER) is a subtask of information extraction that seeks to locate and classify atomic elements in text into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. We use the JavaNLP

Fine-grained entity recognition

by Xiao Ling, Daniel S. Weld - In Proc. of the 26th AAAI Conference on Artificial Intelligence , 2012
"... Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to produce labels from to a small set of entity classes, e.g., person, organization, location or miscellaneous. In order to ..."
Abstract - Cited by 31 (4 self) - Add to MetaCart
Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to produce labels from to a small set of entity classes, e.g., person, organization, location or miscellaneous. In order

Boosting for Named Entity Recognition

by Dekai Wu, Grace Ngai, Marine Carpua, Jeppe Larsen, Yongsheng Yang, Clear Water Bay , 2002
"... This paper presents a system that applies boosting to the task of named-entity identi cation. The CoNLL-2002 shared task, for which the system is designed, is language-independent named-entity recognition. Using a set of features which are easily obtainable for almost any language, the presented sy ..."
Abstract - Cited by 12 (0 self) - Add to MetaCart
This paper presents a system that applies boosting to the task of named-entity identi cation. The CoNLL-2002 shared task, for which the system is designed, is language-independent named-entity recognition. Using a set of features which are easily obtainable for almost any language, the presented

Named Entity Recognition Approaches

by Alireza Mansouri, Lilly Suriani Affendey, Ali Mamat , 2008
"... Recognizing and extracting exact name entities, like Persons, Locations and Organizations are very useful to mining information from text. Learning to extract names in natural language text is called Named Entity Recognition (NER) task. Proper named entity recognition and extraction is important to ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Recognizing and extracting exact name entities, like Persons, Locations and Organizations are very useful to mining information from text. Learning to extract names in natural language text is called Named Entity Recognition (NER) task. Proper named entity recognition and extraction is important

Entity Recognition in Information Extraction

by Novita Hanafiah , Christoph Quix
"... Abstract. Detecting and resolving entities is an important step in information retrieval applications. Humans are able to recognize entities by context, but information extraction systems (IES) need to apply sophisticated algorithms to recognize an entity. The development and implementation of an e ..."
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of an entity recognition algorithm is described in this paper. The implemented system is integrated with an IES that derives triples from unstructured text. By doing so, the triples are more valuable in query answering because they refer to identified entities. By extracting the information from Wikipedia

Boosting for Named Entity Recognition

by Dekai Wu Grace, Grace Ngait, Marine Carpuatt, Yongsheng Yang, Clear Water Bay, Clear Water Bay , 2002
"... This paper presents a system that applies boosting to the task of named-entity identification. The CoNLL-2002 shared task, for which the system is designed, is language-independent named-entity recognition. Using a set of features which are easily obtainable for almost any language, the presented sy ..."
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This paper presents a system that applies boosting to the task of named-entity identification. The CoNLL-2002 shared task, for which the system is designed, is language-independent named-entity recognition. Using a set of features which are easily obtainable for almost any language, the presented

Named Entity Recognition and Disambiguation

by Zhengyan He, Houfeng Wang, Sujian Li
"... bake-off was held in the summer of 2012. Named entity recognition and disambiguation is an important task in natural language processing and knowledge base construction. It aims at detecting entity mentions in raw text, followed by pointing the detected mentions to real world entities. Often, real w ..."
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bake-off was held in the summer of 2012. Named entity recognition and disambiguation is an important task in natural language processing and knowledge base construction. It aims at detecting entity mentions in raw text, followed by pointing the detected mentions to real world entities. Often, real

Named Entity Recognition in Wikipedia

by Dominic Balasuriya, Nicky Ringland, Joel Nothman, Tara Murphy, James R. Curran
"... 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 corp ..."
Abstract - Cited by 10 (0 self) - Add to MetaCart
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
Results 1 - 10 of 2,515