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Named Entity Recognition with Bidirectional LSTM-CNNs [PDF]

Transactions of the Association for Computational Linguistics, 2021
Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high performance.
Jason P.C. Chiu, Eric Nichols
doaj   +2 more sources

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
State-of-the-art named entity recognition systems rely heavily on hand-crafted features and domain-specific knowledge in order to learn effectively from the small, supervised training corpora that are available. In this paper, we introduce two new neural architectures---one based on bidirectional LSTMs and conditional random fields, and the other that ...
Lample, Guillaume, Ballesteros, Miguel, Subramanian, Sandeep, Kawakami, Kazuya, Dyer, Chris   +4 more
openaire   +6 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, Bohnet, Bernd, Poesio, Massimo   +2 more
openaire   +5 more sources

Improving large language models for clinical named entity recognition via prompt engineering. [PDF]

J Am Med Inform Assoc, 2023
Importance The study highlights the potential of large language models, specifically GPT-3.5 and GPT-4, in processing complex clinical data and extracting meaningful information with minimal training data.
Hu Y, Chen Q, Du J, Peng X, Keloth VK, Zuo X, Zhou Y, Li Z, Jiang X, Lu Z, Roberts K, Xu H.   +11 more
europepmc   +3 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

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. Instead of using Ripper to train a complete system, we used many different runs of Ripper in order to derive ...
De Meulder, Fien, Daelemans, Walter, Hoste, Veronique   +2 more
openaire   +5 more sources

MasakhaNER: Named Entity Recognition for African Languages [PDF]

Transactions of the Association for Computational Linguistics, 2021
We take a step towards addressing the under- representation of the African continent in NLP research by bringing together different stakeholders to create the first large, publicly available, high-quality dataset for named entity recognition (NER) in ten
David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, Daniel D’souza, Julia Kreutzer, Constantine Lignos, Chester Palen-Michel, Happy Buzaaba, Shruti Rijhwani, Sebastian Ruder, Stephen Mayhew, Israel Abebe Azime, Shamsuddeen H. Muhammad, Chris Chinenye Emezue, Joyce Nakatumba-Nabende, Perez Ogayo, Aremu Anuoluwapo, Catherine Gitau, Derguene Mbaye, Jesujoba Alabi, Seid Muhie Yimam, Tajuddeen Rabiu Gwadabe, Ignatius Ezeani, Rubungo Andre Niyongabo, Jonathan Mukiibi, Verrah Otiende, Iroro Orife, Davis David, Samba Ngom, Tosin Adewumi, Paul Rayson, Mofetoluwa Adeyemi, Gerald Muriuki, Emmanuel Anebi, Chiamaka Chukwuneke, Nkiruka Odu, Eric Peter Wairagala, Samuel Oyerinde, Clemencia Siro, Tobius Saul Bateesa, Temilola Oloyede, Yvonne Wambui, Victor Akinode, Deborah Nabagereka, Maurice Katusiime, Ayodele Awokoya, Mouhamadane MBOUP, Dibora Gebreyohannes, Henok Tilaye, Kelechi Nwaike, Degaga Wolde, Abdoulaye Faye, Blessing Sibanda, Orevaoghene Ahia, Bonaventure F. P. Dossou, Kelechi Ogueji, Thierno Ibrahima DIOP, Abdoulaye Diallo, Adewale Akinfaderin, Tendai Marengereke, Salomey Osei   +60 more
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Arabic named entity recognition. [PDF]

, 2015
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. La tarea de
Yassine Benajiba
openaire   +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, Christopher D. Manning   +1 more
openaire   +3 more sources

Enhancing biomedical named entity recognition with parallel boundary detection and category classification [PDF]

BMC Bioinformatics
Background Named entity recognition is a fundamental task in natural language processing. Recognizing entities in biomedical text, known as the BioNER, is particularly crucial for cutting-edge applications.
Yu Wang, Hanghang Tong, Ziye Zhu, Fengzhen Hou, Yun Li   +4 more
doaj   +2 more sources