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A named entity recognition system for Dutch [PDF]
, 2002 We describe a Named Entity Recognition system for Dutch that combines gazetteers, hand-crafted rules, and machine learning on the basis of seed material. We used gazetteers and a corpus to construct training material for Ripper, a rule learner.
Daelemans, Walter +2 more
core +8 more sources
Arabic named entity recognition. [PDF]
, 2009 En esta tesis doctoral se describen las investigaciones realizadas con el objetivo de determinar las mejores tecnicas para construir un Reconocedor de Entidades Nombradas en Arabe. Tal sistema tendria la habilidad de identificar y clasificar las entidades nombradas que se encuentran en un texto arabe de dominio abierto.
Yassine Benajiba
openalex +3 more sources
Neural Reranking for Named Entity Recognition
RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning, 2017 We propose a neural reranking system for named entity recognition (NER). The basic idea is to leverage recurrent neural network models to learn sentence-level patterns that involve named entity mentions.
Dong, Fei, Yang, Jie, Zhang, Yue
core +3 more sources
Nested named entity recognition [PDF]
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 1 - EMNLP '09, 2009 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 nested named entities, by using a discriminative ...
Jenny Rose Finkel +1 more
openalex +3 more sources
Pattern Mining for Named Entity Recognition [PDF]
, 2014 International audienceMany evaluation campaigns have shown that knowledge-based and data-driven approaches remain equally competitive for Named Entity Recognition.
B Bouchou +5 more
core +7 more sources
On the Use of Parsing for Named Entity Recognition [PDF]
Applied Sciences, 2021 Parsing is a core natural language processing technique that can be used to obtain the structure underlying sentences in human languages. Named entity recognition (NER) is the task of identifying the entities that appear in a text. NER is a challenging natural language processing task that is essential to extract knowledge from texts in multiple ...
Miguel A. Alonso +2 more
openaire +4 more sources
Dynamic Named Entity Recognition
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023 8 pages, 6 figures, SAC ...
Luiggi, Tristan +4 more
openaire +3 more sources
Named Entity Recognition as Dependency Parsing [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 Accepted by ACL ...
Yu, Juntao +2 more
openaire +3 more sources
Named Entity Recognition and Named Entity Linking on Esports Contents [PDF]
Annals of Computer Science and Information Systems, 2020 We built a named entity recognition system on Esports News. We established an ontology for Esports-related entities, collected and annotated corpus from 80 articles on four different Esports titles. We also trained a CRF and a BERT-based entity recognizer, built a basic DOTA2 knowledge base, and an entity linker that links mentions of entities to ...
Ziyu Liu +3 more
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Indirectly Named Entity Recognition
Journal of Computer-Assisted Linguistic Research, 2021 We define here indirectly named entities, as a term to denote multiword expressions referring to known named entities by means of periphrasis. While named entity recognition is a classical task in natural language processing, little attention has been paid to indirectly named entities and their treatment.
Kauffmann, Alexis +6 more
openaire +4 more sources