Results 31 to 40 of about 14,087 (197)
Big Data and Cognitive Computing, 2021 An information retrieval (IR) system is the core of many applications, including digital library management systems (DLMS). The IR-based DLMS depends on either the title with keywords or content as symbolic strings. In contrast, it ignores the meaning of
Ahmed Aliwy, Ayad Abbas, Ahmed Alkhayyat
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Named Entity Recognition and Disambiguation using Linked Data and Graph-based Centrality Scoring [PDF]
, 2012 Hakimov S, Oto SA, Dogdu E. Named Entity Recognition and Disambiguation using Linked Data and Graph-based Centrality Scoring. In: SIGMOD, SWIM 2012. 2012: 4.Named Entity Recognition (NER) is a subtask of informationextraction and aims to identify atomic
Dogdu, Erdogan +2 more
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Entity Linking on Chinese Microblogs via Deep Neural Network
IEEE Access, 2018 Entity linking is the task of mapping mentions in text to target knowledge base, which is crucial to knowledge-base-related tasks such as knowledge fusion and knowledge base construction.
Weixin Zeng, Jiuyang Tang, Xiang Zhao
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Integrating various resources for gene name normalization. [PDF]
PLoS ONE, 2012 The recognition and normalization of gene mentions in biomedical literature are crucial steps in biomedical text mining. We present a system for extracting gene names from biomedical literature and normalizing them to gene identifiers in databases.
Yuncui Hu +4 more
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Discovering and disambiguating named entities in text [PDF]
Proceedings of the 2013 SIGMOD/PODS Ph.D. symposium, 2013 Disambiguating named entities in natural language texts maps ambiguous names to canonical entities registered in a knowledge base such as DBpedia, Freebase, or YAGO. Knowing the specific entity is an important asset for several other tasks, e.g. entity-based information retrieval or higher-level information extraction.
openaire +3 more sources
OGER++: hybrid multi-type entity recognition
Journal of Cheminformatics, 2019 Background We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept recognition (linking), which combines a dictionary-based annotator with a corpus ...
Lenz Furrer +3 more
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IEEE Access, 2023 The Arabic text can be translated into English using a variety of machine translation techniques. The translation of Arabic text into English still poses a number of challenges in contemporary Arabic.
Shahab Ahmad Almaaytah +1 more
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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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Finding Nineteenth-century Berry Spots
Digital Humanities in the Nordic and Baltic Countries Publications, 2019 The paper studies and improves methods of named entity recognition (NER) and linking (NEL) for facilitating historical research, which uses digitized newspaper texts. The specific focus is on a study about historical process of commodification.
Matti La Mela +2 more
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Collective List-Only Entity Linking: A Graph-Based Approach
IEEE Access, 2018 List-only entity linking (EL) is the task of mapping ambiguous mentions in texts to target entities in a group of entity lists. Different from traditional EL task, which leverages rich semantic relatedness in knowledge bases to improve linking accuracy ...
Weixin Zeng +3 more
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