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Semantic Relations Between Nominals Second Edition 1st Edition Vivi Nastase

  • SKU: BELL-57319312
Semantic Relations Between Nominals Second Edition 1st Edition Vivi Nastase
$ 31.00 $ 45.00 (-31%)

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Semantic Relations Between Nominals Second Edition 1st Edition Vivi Nastase instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 5.88 MB
Pages: 220
Author: Vivi Nastase, Stan Szpakowicz
ISBN: 9783031010507, 3031010507
Language: English
Year: 2021
Edition: 1

Product desciption

Semantic Relations Between Nominals Second Edition 1st Edition Vivi Nastase by Vivi Nastase, Stan Szpakowicz 9783031010507, 3031010507 instant download after payment.

Opportunity and Curiosity find similar rocks on Mars. One can generally understand this statement if one knows that Opportunity and Curiosity are instances of the class of Mars rovers, and recognizes that, as signalled by the word on, rocks are located on Mars. Two mental operations contribute to understanding: recognize how entities/concepts mentioned in a text interact and recall already known facts (which often themselves consist of relations between entities/concepts). Concept interactions one identifies in the text can be added to the repository of known facts, and aid the processing of future texts. The amassed knowledge can assist many advanced language-processing tasks, including summarization, question answering and machine translation. Semantic relations are the connections we perceive between things which interact. The book explores two, now intertwined, threads in semantic relations: how they are expressed in texts and what role they play in knowledge repositories. A historical perspective takes us back more than 2000 years to their beginnings, and then to developments much closer to our time: various attempts at producing lists of semantic relations, necessary and sufficient to express the interaction between entities/concepts. A look at relations outside context, then in general texts, and then in texts in specialized domains, has gradually brought new insights, and led to essential adjustments in how the relations are seen. At the same time, datasets which encompass these phenomena have become available. They started small, then grew somewhat, then became truly large. The large resources are inevitably noisy because they are constructed automatically. The available corpora—to be analyzed, or used to gather relational evidence—have also grown, and some systems now operate at the Web scale. The learning of semantic relations has proceeded in parallel, in adherence to supervised, unsupervised or distantly supervised paradigms. Detailed analyses of annota

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