Results 11 to 20 of about 408,758 (354)
Neural Architectures for Named Entity Recognition [PDF]
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016 Comunicacio presentada a la 2016 Conference of the North American Chapter of the Association for Computational Linguistics, celebrada a San Diego (CA, EUA) els dies 12 a 17 de juny 2016.
Guillaume Lample +4 more
semanticscholar +6 more sources
Named Entity Recognition as Dependency Parsing [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 Named Entity Recognition (NER) is a fundamental task in Natural Language Processing, concerned with identifying spans of text expressing references to entities. NER research is often focused on flat entities only (flat NER), ignoring the fact that entity
Juntao Yu, Bernd Bohnet, Massimo Poesio
semanticscholar +5 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 +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
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
doaj +4 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
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
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
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
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2) [PDF]
International Workshop on Semantic Evaluation, 2023 We present the findings of SemEval-2023 Task 2 on Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). Divided into 13 tracks, the task focused on methods to identify complex fine-grained named entities (like WRITTENWORK, VEHICLE ...
B. Fetahu +4 more
semanticscholar +1 more source