An MRC and adaptive positive‐unlabeled learning framework for incompletely labeled named entity recognition
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23015
Abstract: Currently, named entity recognition (NER) is mainly evaluated on standard and well‐annotated data sets. However, the construction of a well‐annotated data set will consume a lot of manpower and time. In lots of applications of… read more here.
Keywords: entity recognition; entity; framework; unlabeled entities ... See more keywords
Entity disambiguation with decomposable neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1215
Abstract: Entity disambiguation is a fundamental task in natural language processing and computational linguistics. Given a query consisting of a mention (name string) and a background document, entity disambiguation aims at linking the mention to an… read more here.
Keywords: neural network; entity; entity disambiguation; mention entity ... See more keywords
Isolated septic facet joints: an underdiagnosed distinct clinical entity
Sign Up to like & getrecommendations! Published in 2020 at "Skeletal Radiology"
DOI: 10.1007/s00256-020-03434-8
Abstract: Objectives We review a series of isolated septic facet joints (ISFJ) that present as a distinct clinical entity compared with spondylodiscitis. We aim to raise awareness that septic facet joints are not a rare entity… read more here.
Keywords: isolated septic; facet joints; entity; distinct clinical ... See more keywords
Feature-driven linguistic-based entity matching in linked data with application in pharmacy
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DOI: 10.1007/s00500-015-1632-6
Abstract: The web becomes an overwhelmingly huge repository of data. At the same time, users demand access to the information on the web in a more natural way. In other words, users require interaction with the… read more here.
Keywords: driven linguistic; feature; linguistic based; feature driven ... See more keywords
Fine-grained entity type classification with adaptive context
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DOI: 10.1007/s00500-017-2963-2
Abstract: Natural language processing (NLP) is the technology that enables machine to process human language. Entity recognition is one of the most basic tasks in NLP. It aims to identify and classify the name of each… read more here.
Keywords: entity type; fine grained; entity; type classification ... See more keywords
Traditional Chinese medicine entity relation extraction based on CNN with segment attention
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05897-9
Abstract: Extracting medical entity relations from Traditional Chinese Medicine (TCM) related article is crucial to connect domain knowledge between TCM with modern medicine. Herb accounts for the majority of Traditional Chinese Medicine, so our work mainly… read more here.
Keywords: medicine; traditional chinese; chinese medicine; entity ... See more keywords
HEEL: exploratory entity linking for heterogeneous information networks
Sign Up to like & getrecommendations! Published in 2019 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-019-01354-1
Abstract: A heterogeneous information network (HIN) is a ubiquitous data model, consisting of multiple types of entities and relations. Names of entities in HINs are inherently ambiguous, making it difficult to fully disambiguate a HIN. In… read more here.
Keywords: heterogeneous information; heel exploratory; exploratory entity; entity ... See more keywords
Named entity disambiguation in short texts over knowledge graphs
Sign Up to like & getrecommendations! Published in 2022 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-021-01642-9
Abstract: The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation (NED) at the heart of designing accurate KG-driven systems such as query answering systems (QAS). According to the current research, most studies dealing with… read more here.
Keywords: entity; knowledge; entity disambiguation; knowledge graphs ... See more keywords
Micro-review synthesis for multi-entity summarization
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DOI: 10.1007/s10618-017-0491-4
Abstract: Location-based social networks (LBSNs), exemplified by Foursquare, are fast gaining popularity. One important feature of LBSNs is micro-review. Upon check-in at a particular venue, a user may leave a short review (up to 200 characters… read more here.
Keywords: entity; collection; multi entity; micro review ... See more keywords
How to Deal with Future Existence: sarvāstivāda, Yogic Perception, and Causality
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Indian Philosophy"
DOI: 10.1007/s10781-017-9344-0
Abstract: This paper mainly addresses the following issues: how Buddhists deal with future existence, the difference between yogic perception and the cognition of ordinary people with regard to future entities, and how Buddhists resolve the contradiction… read more here.
Keywords: deal future; perception; future existence; entity ... See more keywords
Measuring Entity Relatedness via Entity and Text Joint Embedding
Sign Up to like & getrecommendations! Published in 2018 at "Neural Processing Letters"
DOI: 10.1007/s11063-018-9966-6
Abstract: As unique identifiers of objects and basic components of knowledge graphs, entities are crucial to many natural language processing related works, such as entity linking and question answering, in which the estimation of entity relatedness… read more here.
Keywords: entity relatedness; measuring entity; entity; relatedness via ... See more keywords