Results 21 to 30 of about 1,142,269 (203)
ISPRS International Journal of Geo-Information, 2021 Geocoding is an essential procedure in geographical information retrieval to associate place names with coordinates. Due to the inherent ambiguity of place names in natural language and the scarcity of place names in textual data, it is widely recognized
Zheren Yan +5 more
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MLNet: a multi-level multimodal named entity recognition architecture
Frontiers in Neurorobotics, 2023 In the field of human–computer interaction, accurate identification of talking objects can help robots to accomplish subsequent tasks such as decision-making or recommendation; therefore, object determination is of great interest as a pre-requisite task.
Hanming Zhai +4 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.
Lucchese, Claudio +15 more
core +1 more source
Dexter: an open source framework for entity linking [PDF]
, 2013 We introduce Dexter, an open source framework for entity linking. The entity linking task aims at identifying all the small text fragments in a document referring to an entity contained in a given knowledge base, e.g., Wikipedia.
Lucchese, Claudio +14 more
core +1 more source
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 +4 more sources
COMPARATIVE ANALYSIS OF HUMAN INTERACTION PATTERN MINING APPROACHES [PDF]
ICTACT Journal on Soft Computing, 2020 Opinion Mining and Sentiment Analysis in Natural Language Processing (NLP) are challenging, as they require deep understanding. Understanding involves methods that could differentiate between the facts of explicit and implicit, regular and irregular ...
S Uma, J Suguna
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
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Neural Network-Based Tree Translation for Knowledge Base Construction
IEEE Access, 2021 Knowledge bases (KB), such as Probase and ConceptNet, play an important role in many natural language processing tasks. Compared with resource-poor languages such as Chinese, the scale and quality of English knowledge bases are obviously superior.
Haijun Zhang
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Adapting vs. Pre-training Language Models for Historical Languages [PDF]
Journal of Data Mining and Digital Humanities, 2022 As large language models such as BERT are becoming increasingly popular in Digital Humanities (DH), the question has arisen as to how such models can be made suitable for application to specific textual domains, including that of 'historical text'. Large
Enrique Manjavacas, Lauren Fonteyn
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Enhancement of Question Answering System Accuracy via Transfer Learning and BERT
Applied Sciences, 2022 Entity linking and predicate matching are two core tasks in the Chinese Knowledge Base Question Answering (CKBQA). Compared with the English entity linking task, the Chinese entity linking is extremely complicated, making accurate Chinese entity linking ...
Kai Duan +5 more
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