Named Entities

Recognition, classification and use

Satoshi Sekine | New York University
Elisabete Ranchhod | University of Lisbon
ISBN 9789027222497 | EUR 90.00 | USD 120.00
ISBN 9789027289223 | EUR 90.00 | USD 120.00
Google Play logo
Named Entities provides critical information for many NLP applications. Named Entity recognition and classification (NERC) in text is recognized as one of the important sub-tasks of Information Extraction (IE). The seven papers in this volume cover various interesting and informative aspects of NERC research. Nadeau & Sekine provide an extensive survey of past NERC technologies, which should be a very useful resource for new researchers in this field. Smith & Osborne describe a machine learning model which tries to solve the over-fitting problem. Mazur & Dale tackle a common problem of NE and conjunction; as conjunctions are often a part of NEs or appear close to NEs, this is an important practical problem. A further three papers describe analyses and implementations of NERC for different languages: Spanish (Galicia-Haro & Gelbukh), Bengali (Ekbal, Naskar & Bandyopadhyay), and Serbian (Vitas, Krstev & Maurel). Finally, Steinberger & Pouliquen report on a real WEB application where multilingual NERC technology is used to identify occurrences of people, locations and organizations in newspapers in different languages.

The contributions to this volume were previously published in Lingvisticae Investigationes 30:1 (2007).

[Benjamins Current Topics, 19] 2009.  v, 168 pp.
Publishing status: Available
Table of Contents
Cited by

Cited by 23 other publications

Beheshti, Seyed-Mehdi-Reza, Boualem Benatallah, Srikumar Venugopal, Seung Hwan Ryu, Hamid Reza Motahari-Nezhad & Wei Wang
2017. A systematic review and comparative analysis of cross-document coreference resolution methods and tools. Computing 99:4  pp. 313 ff. DOI logo
Bobed, Carlos, Roberto Yus, Fernando Bobillo, Sergio Ilarri, Jorge Bernad, Eduardo Mena, Raquel Trillo-Lado & Ángel Luis Garrido
2016. Emerging Semantic-Based Applications. In Semantic Web,  pp. 39 ff. DOI logo
Buey, María G., Ángel Luis Garrido & Sergio Ilarri
2014. An Approach for Automatic Query Expansion Based on NLP and Semantics. In Database and Expert Systems Applications [Lecture Notes in Computer Science, 8645],  pp. 349 ff. DOI logo
Buey, María G., Cristian Roman, Angel Luis Garrido, Carlos Bobed & Eduardo Mena
2019. Automatic Legal Document Analysis: Improving the Results of Information Extraction Processes Using an Ontology. In Intelligent Methods and Big Data in Industrial Applications [Studies in Big Data, 40],  pp. 333 ff. DOI logo
Garrido, Angel L., Maria G. Buey, Sandra Escudero, Alvaro Peiro, Sergio Ilarri & Eduardo Mena
2015. The GENIE System: Classifying Documents by Combining Mixed-Techniques. In Web Information Systems and Technologies [Lecture Notes in Business Information Processing, 226],  pp. 231 ff. DOI logo
Garrido, Angel L., Oscar Gomez, Sergio Ilarri & Eduardo Mena
2011. 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence,  pp. 904 ff. DOI logo
2012. An Experience Developing a Semantic Annotation System in a Media Group. In Natural Language Processing and Information Systems [Lecture Notes in Computer Science, 7337],  pp. 333 ff. DOI logo
Garrido, Angel L., Alvaro Peiro & Sergio Ilarri
2014. 2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY),  pp. 315 ff. DOI logo
Garrido, Angel Luis, Maria G. Buey, Sandra Escudero, Sergio Ilarri, Eduardo Mena & Sara B. Silveira
2013. 2013 IEEE 25th International Conference on Tools with Artificial Intelligence,  pp. 735 ff. DOI logo
Garrido, Angel Luis, Maria G. Buey, Sergio Ilarri & Eduardo Mena
2013. GEO-NASS: A Semantic Tagging Experience from Geographical Data on the Media. In Advances in Databases and Information Systems [Lecture Notes in Computer Science, 8133],  pp. 56 ff. DOI logo
Garrido, Angel Luis, Maria G. Buey, Sergio Ilarri, Igor Furstner & Livia Szedmina
2015. 2015 IEEE 13th International Symposium on Intelligent Systems and Informatics (SISY),  pp. 195 ff. DOI logo
Garrido, Angel Luis & Sergio Ilarri
2014. TMR: A Semantic Recommender System Using Topic Maps on the Items’ Descriptions. In The Semantic Web: ESWC 2014 Satellite Events [Lecture Notes in Computer Science, 8798],  pp. 213 ff. DOI logo
Husevåg, Anne-Stine Ruud
2019. From subtitles to substantial metadata: examining characteristics of named entities and their role in indexing. International Journal on Digital Libraries 20:3  pp. 241 ff. DOI logo
Inkeaw, Papangkorn, Jeerayut Chaijaruwanich & Boonrucksar Soonthornthum
2019. Proceedings of the 2019 The 3rd International Conference on Digital Technology in Education,  pp. 246 ff. DOI logo
Jain, Arti, Devendra K. Tayal, Divakar Yadav & Anuja Arora
2020. Research Trends for Named Entity Recognition in Hindi Language. In Data Visualization and Knowledge Engineering [Lecture Notes on Data Engineering and Communications Technologies, 32],  pp. 223 ff. DOI logo
Kiryanov, Denis Aleksandrovich
2021. Hybrid categorical expert system for use in content aggregation. Программные системы и вычислительные методы :4  pp. 1 ff. DOI logo
Luo, Xueming, Jie Zhang, Bin Gu & Chee Wei Phang
2013. Social Media Blog Sentiments and Brand Performances: Competitive and Asymmetric Effects. SSRN Electronic Journal DOI logo
Nakajima, Daisuke, Yuki Mitsui, Masaki Samejima & Masanori Akiyoshi
2011. 2011 IEEE 11th International Conference on Data Mining Workshops,  pp. 1177 ff. DOI logo
R., Hema & Ajantha Devi
2021. Chemical Named Entity Recognition Using Deep Learning Techniques. In Deep Natural Language Processing and AI Applications for Industry 5.0 [Advances in Computational Intelligence and Robotics, ],  pp. 59 ff. DOI logo
Romero, Ignacio, Jorge Estrada, Angel L. Garrido & Eduardo Mena
2021. Impact of the Application of Artificial Intelligence Technologies in a Content Management System of a Media. In Intelligent Systems in Industrial Applications [Studies in Computational Intelligence, 949],  pp. 139 ff. DOI logo
Stoffel, Florian, Wolfgang Jentner, Michael Behrisch, Johannes Fuchs & Daniel Keim
2017. Interactive Ambiguity Resolution of Named Entities in Fictional Literature. Computer Graphics Forum 36:3  pp. 189 ff. DOI logo
van Zundert, Joris, Smiljana Antonijevic, Anne Beaulieu, Karina van Dalen-Oskam, Douwe Zeldenrust & Tara L Andrews
2012. Cultures of Formalisation: Towards an Encounter between Humanities and Computing. In Understanding Digital Humanities,  pp. 279 ff. DOI logo
Zhong, Xiaoshi & Erik Cambria
2021. Introduction. In Time Expression and Named Entity Recognition [Socio-Affective Computing, 10],  pp. 1 ff. DOI logo

This list is based on CrossRef data as of 6 march 2023. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Subjects & Metadata
BIC Subject: CFG – Semantics, Pragmatics, Discourse Analysis
BISAC Subject: LAN009000 – LANGUAGE ARTS & DISCIPLINES / Linguistics / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2009017541 | Marc record