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Aspects of named entity processing
Interspeech 2004, 2004In this paper we investigate the utility of three aspects of named entity processing: detection, localization and value extraction. We corroborate this task categorization by providing examples of practical applications for each of these subtasks. We also suggest methods for tackling these subtasks, giving particular attention to working with speech ...
Michael Levit +4 more
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Named Entity Recognition in Natural Language Processing: A Systematic Review
2021The enormous growth and availability of data poses a great challenge for extracting useful information from documents written in natural language. The information extraction task has become a vital activity in all domains. The process of identifying the names of organization, people, locations or other entities in text is called named entity ...
Abhishek Sharma +3 more
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Improvised fuzzy clustering using name entity recognition and natural language processing
2017 1st International Conference on Intelligent Systems and Information Management (ICISIM), 2017Word wide web is considered as the most important information store in recent years. Web development expands to a great extent with new technologies. Search engines are ineffective when the number of docs in the web is multiplied. In the same way, the retrieval of queries, most of which are not related to what the user was looking for.
Kalyani R. Pole, Vishakha R. Mote
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Intertwining Deep Syntactic Processing and Named Entity Detection
2004In this paper, we present a robust incremental architecture for natural language processing centered around syntactic analysis but allowing at the same time the description of specialized modules, like named entity recognition. We show that the flexibility of our approach allows us to intertwine general and specific processing, which has a mutual ...
Caroline Brun, Caroline Hagège
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Automatic gazette creation for named entity recognition and application to resume processing
Proceedings of the 5th ACM COMPUTE Conference: Intelligent & scalable system technologies, 2012Named entities are important content-carrying units within documents. Consequently named entity recognition (NER) is an important part of information extraction. One fast and accurate approach to NER uses a list or gazette consisting of known instances.
Sachin Pawar +2 more
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Journal of Intelligent Manufacturing, 2021
The number of published manufacturing science digital articles available from scientific journals and the broader web have exponentially increased every year since the 1990s. To assimilate all of this knowledge by a novice engineer or an experienced researcher, requires significant synthesis of the existing knowledge space contained within published ...
Aman Kumar, Binil Starly
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The number of published manufacturing science digital articles available from scientific journals and the broader web have exponentially increased every year since the 1990s. To assimilate all of this knowledge by a novice engineer or an experienced researcher, requires significant synthesis of the existing knowledge space contained within published ...
Aman Kumar, Binil Starly
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Journal of Chemical Information and Modeling, 2021
A rich body of literature has emerged in recent years that discusses the extraction of structured information from materials science text through named entity recognition models. Relatively little work has been done to address the "normalization" of extracted entities, that is, recognizing that two or more seemingly different entities actually refer to
Pranav Shetty, Rampi Ramprasad
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A rich body of literature has emerged in recent years that discusses the extraction of structured information from materials science text through named entity recognition models. Relatively little work has been done to address the "normalization" of extracted entities, that is, recognizing that two or more seemingly different entities actually refer to
Pranav Shetty, Rampi Ramprasad
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Fine Tuning Features and Post-processing Rules to Improve Named Entity Recognition
2006This paper presents a Named Entity Recognition (NER) system for Spanish which combines the learning and knowledge approaches. Our contribution focuses on two matters: first, a discussion about selecting the best features for a machine learning NER system.
Óscar Ferrández +2 more
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Named Entity Recognition in Industrial Processes
2023 42nd Chinese Control Conference (CCC), 2023Ronghui Liu +7 more
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Natural language processing to classify named entities of the Brazilian Union Official Diary
2018 13th Iberian Conference on Information Systems and Technologies (CISTI), 2018Understanding the grammatical structure of a sentence is an important step for computers to be able to understand the intended meaning in a text. Natural Language Processing (NLP), a sub-area of Artificial Intelligence, is a field of study of computational automation, understanding and grammatical organization of an unstructured language in ...
Vanderlei J. Alles +2 more
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