Results 21 to 30 of about 2,584,993 (291)
Named Entity Recognition Using Conditional Random Fields
Applied Sciences, 2022 Named entity recognition (NER) is an important task in natural language processing, as it is widely featured as a key information extraction sub-task with numerous application areas.
Wahab Khan +5 more
doaj +1 more source
Boosting for named entity recognition [PDF]
proceeding of the 6th conference on Natural language learning - COLING-02, 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 system uses boosting to combine a set of weak ...
Dekai Wu +4 more
openaire +2 more sources
Named Entity Recognition in Bengali
Northern European Journal of Language Technology, 2010 This paper reports about a multi-engine approach for the development of a Named Entity Recognition (NER) system in Bengali by combining the classifiers such as Maximum Entropy (ME), Conditional Random Field (CRF) and Support Vector Machine (SVM) with ...
Asif Ekbal, Sivaji Bandyopadhyay
doaj +1 more source
Multi-grained Named Entity Recognition [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 In ACL 2019 as a long ...
Congying Xia +8 more
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MALAY NAMED ENTITY RECOGNITION USING RULE BASED APPROACH
Asia-Pacific Journal of Information Technology and Multimedia, 2019 Named Entity Recognition (NER) research based on rule is widely investigated and is used in various languages mainly English. However, the English NER rules are different with Malay language due to different morphology. Some of challenging issue in Malay
Ulfa Nadia, Nazlia Omar
doaj +1 more source
Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text
Remote Sensing, 2020 The automatic extraction of geospatial information is an important aspect of data mining. Computer systems capable of discovering geographic information from natural language involve a complex process called geoparsing, which includes two important tasks:
Edwin Aldana-Bobadilla +5 more
doaj +1 more source
Full-span named entity recognition with boundary regression
Connection Science, 2023 Span classification is a popular method for nested named entity recognition. To recognise full-span named entities, span-based models should enumerate and verify all possible entity spans in a sentence, which leads to serious problems regarding ...
Junhui Yu +4 more
doaj +1 more source
DroNER: Dataset for drone named entity recognition
Data in Brief, 2023 The dataset is constructed from the drone flight log messages extracted from publicly available drone image datasets provided by VTO Labs under the Drone Forensic Program.
Swardiantara Silalahi +2 more
doaj +1 more source
Named entity evolution recognition on the Blogosphere [PDF]
International Journal on Digital Libraries, 2014 Advancements in technology and culture lead to changes in our language. These changes create a gap between the language known by users and the language stored in digital archives. It affects user's possibility to firstly find content and secondly interpret that content. In previous work we introduced our approach for Named Entity Evolution Recognition~(
Helge Holzmann +2 more
openaire +3 more sources
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 ...
Turney, Peter +8 more
core +1 more source