Results 51 to 60 of about 2,702,605 (333)
Learning In-context Learning for Named Entity Recognition [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Named entity recognition in real-world applications suffers from the diversity of entity types, the emergence of new entity types, and the lack of high-quality annotations.
Jiawei Chen +9 more
semanticscholar +1 more source
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
Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance
AAAI Conference on Artificial Intelligence, 2021 Multi-modal named entity recognition (MNER) aims to discover named entities in free text and classify them into pre-defined types with images. However, dominant MNER models do not fully exploit fine-grained semantic correspondences between semantic units
Dong Zhang +5 more
semanticscholar +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
Int. J. Medical Informatics, 2023 BACKGROUND Natural Language Processing (NLP) applications have developed over the past years in various fields including its application to clinical free text for named entity recognition and relation extraction.
David Fraile Navarro +6 more
semanticscholar +1 more source
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
Grounded Multimodal Named Entity Recognition on Social Media
Annual Meeting of the Association for Computational Linguistics, 2023 In recent years, Multimodal Named Entity Recognition (MNER) on social media has attracted considerable attention. However, existing MNER studies only extract entity-type pairs in text, which is useless for multimodal knowledge graph construction and ...
Jianfei Yu +3 more
semanticscholar +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
openaire +2 more sources
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