Results 251 to 260 of about 177,864 (288)

Kannada Named Entity Recognition and Classification using Bidirectional Long Short-Term Memory Networks

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), 2018
This paper focuses on carrying out the Named Entity Recognition and Classification (NERC) task on Kannada, a major Dravidian language spoken in India. Low resource conditions such as absence of external linguistic resources and gazetteers in Kannada and other Dravidian languages pose obstacles to the NERC task.
Dinesh Sathyanarayanan, Ashwin Ashok, Debanik Mishra, Santwana Chimalamarri, Dinkar Sitaram   +4 more
openaire   +2 more sources

An Association Rule Mining Method Based on Named Entity Recognition and Text Classification

Arabian Journal for Science and Engineering, 2022
Bo He, Jiru Zhang
openaire   +2 more sources

Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition

International Conference on Applications of Natural Language to Data Bases, 2023
Information extraction(IE) is a crucial subfield within natural language processing. In this study, we introduce a Sentence Classification and Named Entity Recognition Multi-task (SCNM) approach that combines Sentence Classification (SC) and Named Entity
Chengguang Gan, Qinghao Zhang, Tatsunori Mori   +2 more
semanticscholar   +1 more source

Question Classification of University Admission using Named-Entity Recognition (NER)

International Conference on Information Technology, Computer, and Electrical Engineering, 2023
The university admission process can be overwhelming for applicants and admission officers, with many questions being asked and answered every year.
E. Yossy, Derwin Suhartono, A. Trisetyarso, Widodo Budiharto   +3 more
semanticscholar   +1 more source

Named entity recognition and classification using context Hidden Markov Model

2008 9th Symposium on Neural Network Applications in Electrical Engineering, 2008
Named entity (NE) recognition is a core technology for understanding low level semantics of texts. In this paper we report our preliminary results for Named Entity Recognition on MUC 7 corpus by combining the supervised machine learning system in the form of probabilistic generative Hidden Markov Model (HMM) for named entity classes PERSON ...
Branimir T. Todorovic, Svetozar R. Rancic, Ivica M. Markovic, Edin H. Mulalic, Velimir M. Ilic   +4 more
openaire   +1 more source

Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding

Conference on Empirical Methods in Natural Language Processing
Multimodal Named Entity Recognition and 001 Grounding (MNERG) aims to extract paired 002 textual and visual entities from texts and im-003 ages. It has been well explored through a two-004 step paradigm: initially identifying potential 005 visual ...
Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu, Yongyi He, Qi Liu, Ying Yu, Enhong Chen   +8 more
semanticscholar   +1 more source

Bidirectional LSTM Joint Model for Intent Classification and Named Entity Recognition in Natural Language Understanding

International Journal of Hybrid Intelligent Systems, 2019
Recurrent Neural Networks (RNN) have claimed to achieve the state of the arts results in some cases, better performances than humans could have, especially RNN – Long Short Term Memory (LSTM) and RNN – Bidirectional LSTM, Attention based LSTM encoder-decoder networks in the domains of Speech Recognition, Sequence Labeling, Text Classification, Image ...
Varghese, Akson Sam, Sarang, Saleha, Yadav, Vipul, Karotra, Bharat, Gandhi, Niketa   +4 more
openaire   +1 more source

U-AIDA : a customizable system for named entity recognition, classification, and disambiguation

2015
Das Erkennen und die Disambiguierung von Entitäten wie etwa Personen, Organisationen oder Orte in natürlichsprachigem Text sind wertvolle Hilfsmittel für zahlreiche linguistische Aufgaben Biespielanwendungen sind Informationsextraktion oder die Kategorisierung von Texten.
openaire   +2 more sources

CroNER: A State-of-the-Art Named Entity Recognition and Classification for Croatian Language

2012
This record contains a full paper presented at the 8th Conference on Language Technologies (JT-2012), held in Ljubljana, Slovenia, in October 2012.
Glavaš, Goran, Karan, Mladen, Šarić, Frane, Šnajder, Jan, Mijic, Jure, Šilić, Artur, Dalbelo Bašić, Bojana   +6 more
openaire   +2 more sources

CroNER: A State-of-the-Art Named Entity Recognition and Classification for Croatian [PDF]

, 2012
In this paper we present CroNER, a named entity recognition and classification system for Croatian language based on supervised sequence labeling with conditional random fields (CRF). We use a rich set of lexical and gazetteer- based features and different methods for enforcing document-level label consistency.
Šarić, Frane, Dalbelo Bašić, Bojana, Šnajder, Jan, Šilić, Artur, Glavaš, Goran, Karan, Mladen   +5 more
openaire   +2 more sources