Results 41 to 50 of about 373,459 (274)

Embracing Uncertainty in Entity Linking [PDF]

open access: yes, 2012
An important task in data integration and data cleaning is the identification of data that describe the same real-world object, such as an event, a person, or a movie. There are various techniques to tackle this problem. The typical methodology is to collect matching evidence, such as similarities between the entity strings, and based on them, generate
E. Ioannou   +3 more
openaire   +2 more sources

Semantically linking molecular entities in literature through entity relationships [PDF]

open access: yesBMC Bioinformatics, 2012
Text mining tools have gained popularity to process the vast amount of available research articles in the biomedical literature. It is crucial that such tools extract information with a sufficient level of detail to be applicable in real life scenarios.
Landeghem, S. (author)   +5 more
openaire   +4 more sources

Entity Linking

open access: yes, 2017
Entity linking may be of help to quickly supplement a reader with further information about entities within a text by providing links to a knowledge base containing more information about each entity, and may thus potentially enhance the reading experience.
Diana Maynard   +2 more
openaire   +3 more sources

List-only Entity Linking [PDF]

open access: yesProceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2017
Traditional Entity Linking (EL) technologies rely on rich structures and properties in the target knowledge base (KB). However, in many applications, the KB may be as simple and sparse as lists of names of the same type (e.g., lists of products). We call it as List-only Entity Linking problem.
Ying Lin, Chin-Yew Lin, Heng Ji
openaire   +1 more source

Neural Cross-Lingual Entity Linking

open access: yes, 2017
A major challenge in Entity Linking (EL) is making effective use of contextual information to disambiguate mentions to Wikipedia that might refer to different entities in different contexts.
Florian, Radu   +3 more
core   +2 more sources

Building Knowledge Graphs and Recommender Systems for Suggesting Reskilling and Upskilling Options from the Web

open access: yesInformation, 2022
As advances in science and technology, crisis, and increased competition impact labor markets, reskilling and upskilling programs emerged to mitigate their effects. Since information on continuing education is highly distributed across websites, choosing
Albert Weichselbraun   +4 more
doaj   +1 more source

Interactive Entity Linking Using Entity-Word Representations

open access: yesProceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
To leverage on entity and word semantics in entity linking, embedding models have been developed to represent entities, words and their context such that candidate entities for each mention can be determined and ranked accurately using their embeddings.
LO, Pei Chi, LIM, Ee-Peng
openaire   +2 more sources

RSVN: A RoBERTa Sentence Vector Normalization Scheme for Short Texts to Extract Semantic Information

open access: yesApplied Sciences, 2022
With the explosive growth in short texts on the Web and an increasing number of Web corpora consisting of short texts, short texts are playing an important role in various Web applications.
Lei Gao   +3 more
doaj   +1 more source

CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications

open access: yesScientific Data, 2022
Measurement(s) COVID-19-related publications Technology Type(s) named entity recognition, entity linking and link discovery ...
Svetlana Pestryakova   +6 more
doaj   +1 more source

Zero-shot Neural Transfer for Cross-lingual Entity Linking

open access: yes, 2018
Cross-lingual entity linking maps an entity mention in a source language to its corresponding entry in a structured knowledge base that is in a different (target) language.
Carbonell, Jaime   +3 more
core   +1 more source

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