Results 31 to 40 of about 20,627 (210)
Learning Relatedness Measures for Entity Linking [PDF]
, 2013 Entity Linking is the task of detecting, in text documents, relevant mentions to entities of a given knowledge base. To this end, entity-linking algorithms use several signals and features extracted from the input text or from the knowl- edge base.
Ceccarelli, Diego +4 more
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Named Entity Disambiguation for Maritime-related Data Retrieved from Heterogenous Sources [PDF]
TransNav, 2016 The article concerns integration and disambiguation of data related to the maritime domain. A developed system is described, which collects and merges data about several maritime-related entities (vessels, vessel types, ports, companies etc.) retrieved ...
Jacek Malyszko +2 more
doaj +1 more source
Computationally Efficient Context-Free Named Entity Disambiguation with Wikipedia
Information, 2022 The induction of the semantics of unstructured text corpora is a crucial task for modern natural language processing and artificial intelligence applications.
Michael Angelos Simos, Christos Makris
doaj +1 more source
EREL: an Entity Recognition and Linking algorithm
Journal of Information and Telecommunication, 2018 This paper introduces the EREL algorithm that integrates Entity Recognition, Co-reference Resolution (CR) and Disambiguation. The algorithm recognizes entity mentions as the longest name based on the name dictionary constructed from the Wikipedia data ...
Cuong Duc Nguyen, Trong Hai Duong
doaj +1 more source
Candidate entity generation in lexical semantics [PDF]
PeerJ Computer ScienceCandidate entity generation plays a pivotal role in various Natural Language Processing tasks, particularly in lexical semantics, where identifying and selecting relevant entities is crucial for effective understanding and processing of text.
Madawi Saqer Alotaibi +1 more
doaj +2 more sources
Disambiguation method of name entities embedded in meta-path heterogeneous networks
Journal of Hebei University of Science and Technology, 2020 In order to solve the problem of disambiguation of duplicate authors in large academic databases, a name entity disambiguation model based on meta-path heterogeneous network was proposed.
Jianxia WANG, Yuxuan ZHANG, Yunfeng XU
doaj +1 more source
Disambiguating Nouns, Verbs, and Adjectives Using Automatically Acquired Selectional Preferences [PDF]
, 2003 Selectional preferences have been used by word sense disambiguation (WSD) systems as one source of disambiguating information. We evaluate WSD using selectional preferences acquired for English adjective—noun, subject, and direct object grammatical ...
Briscoe Ted +3 more
core +4 more sources
Entity Disambiguation on a Tight Labeling Budget
Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 Many real-world NLP applications face the challenge of training an entity disambiguation model for a specific domain with a small labeling budget. In this setting there is often access to a large unlabeled pool of documents. It is then natural to ask the question: which samples should be selected for annotation? In this paper we propose a solution that
Primadhanty, Audi +1 more
openaire +1 more source
ELAD: An Entity Linking Based Affiliation Disambiguation Framework
IEEE Access, 2020 The number of papers has exploded as more and more people and more types of institutions participating in scientific research. At the same time, institution name disambiguation (IND) is getting more sophisticated, which is critical for research ...
Zhou Shao +3 more
doaj +1 more source
Discovering the spatial coverage of the documents through the SpatialCIM Methodology. [PDF]
, 2020 The main focus of this paper is to present the SpatialCIM methodology to identify the spatial coverage of the documents in the Brazilian geographic area. This methodology uses a linguistic tool to assist in the entity recognition process.
MOURA, M. F. +4 more
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