Results 171 to 180 of about 14,087 (197)

Geographic Named Entity Disambiguation with Automatic Profile Generation

2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06), 2006
Knowledge rich approach of processing documents has been viewed as a method to improve over simple bag-of- word representation. Extracting location information from documents and link them to some ontology such as world gazetteer through a disambiguation process becomes an interesting and important topic.
Yefei Peng, Daqing He, Ming Mao
openaire   +1 more source

Towards Named Entity Disambiguation with Graph Embeddings

2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT)
Extracting structured knowledge from scientific literature is crucial for helping professionals make well-informed decisions. This paper presents an approach to distilling knowledge from biomedical documents within the context of Named Entity Disambiguation (NED).
Colliani, Felice Paolo, Futia, Giuseppe, Garifo, Giovanni, Vetro, Antonio, De Martin, Juan Carlos   +4 more
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Named Entity Identification Based Translation Disambiguation Model

2017
Machine Translation (MT) systems are in growing state for Indian languages, where either a translation or transliteration mechanism is used for a word or phrase. Identifying whether a word needs translation or transliteration mechanism, is still a challenge. Since the Named Entity (NE) terms have a property of similar pronunciation across the languages.
Vijay Kumar Sharma, Namita Mittal
openaire   +1 more source

Context Aware Named Entity Disambiguation

2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012
Ivo Laek, Peter Vojtá
openaire   +1 more source

Time-Aware Named Entity Disambiguation

2017
Named Entity Disambiguation (NED) is a Natural Language Processing task of linking mentions of named entities is a text to their corresponding entries in a Knowledge Base. It serves as a crucial component in applications such as Semantic Search, Knowledge Base Population, and Opinion Mining.
openaire   +1 more source

A Survey of Named Entity Disambiguation in Entity Linking

2023 3rd International Conference on Intelligent Communications and Computing (ICC), 2023
Shuang Duan, Yan Guang, Wenjuan Bu, Ju Yang   +3 more
openaire   +1 more source

Geographic Named Entity Recognition and Disambiguation in Mexican News using word embeddings

Expert Systems With Applications, 2021
Alejandro Molina-Villegas, Victor Muñiz-Sanchez   +1 more
exaly  

Robust Disambiguation of Named Entities in Text

2011
Disambiguating named entities in natural-language text maps mentions of ambiguous names onto canonical entities like people or places, registered in a knowledge base such as DBpedia or YAGO. This paper presents a robust method for collective disambiguation, by harnessing context from knowledge bases and using a new form of coherence graph.
Hoffart, J., Yosef, M., Bordino, I., Fürstenau, H., Pinkal, M., Spaniol, M., Taneva, B., Thater, S., Weikum, G.   +8 more
openaire   +1 more source

CluEval: A Python tool for evaluating clustering performance in named entity disambiguation

Software Impacts, 2023
Jinseok Kim
exaly  

Multimodal Knowledge Learning for Named Entity Disambiguation

Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Zhang Dongjie, Longtao Huang
openaire   +1 more source