000 | 04396nam a22005535i 4500 | ||
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001 | 978-3-031-02148-0 | ||
003 | DE-He213 | ||
005 | 20240730164323.0 | ||
007 | cr nn 008mamaa | ||
008 | 220607s2013 sz | s |||| 0|eng d | ||
020 |
_a9783031021480 _9978-3-031-02148-0 |
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024 | 7 |
_a10.1007/978-3-031-02148-0 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
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072 | 7 |
_aUYQ _2thema |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aNastase, Vivi. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _983846 |
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245 | 1 | 0 |
_aSemantic Relations Between Nominals _h[electronic resource] / _cby Vivi Nastase, Preslav Nakov, Diarmuid Ó Séaghdha, Stan Szpakowicz. |
250 | _a1st ed. 2013. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2013. |
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300 |
_aXII, 107 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Human Language Technologies, _x1947-4059 |
|
505 | 0 | _aIntroduction -- Relations between Nominals, Relations between Concepts -- Extracting Semantic Relations with Supervision -- Extracting Semantic Relations with Little or No Supervision -- Conclusion. | |
520 | _aPeople make sense of a text by identifying the semantic relations which connect the entities or concepts described by that text. A system which aspires to human-like performance must also be equipped to identify, and learn from, semantic relations in the texts it processes. Understanding even a simple sentence such as "Opportunity and Curiosity find similar rocks on Mars" requires recognizing relations (rocks are located on Mars, signalled by the word on) and drawing on already known relations (Opportunity and Curiosity are instances of the class of Mars rovers). A language-understanding system should be able to find such relations in documents and progressively build a knowledge base or even an ontology. Resources of this kind assist continuous learning and other advanced language-processing tasks such as text summarization, question answering and machine translation. The book discusses the recognition in text of semantic relations which capture interactions between base noun phrases.After a brief historical background, we introduce a range of relation inventories of varying granularity, which have been proposed by computational linguists. There is also variation in the scale at which systems operate, from snippets all the way to the whole Web, and in the techniques of recognizing relations in texts, from full supervision through weak or distant supervision to self-supervised or completely unsupervised methods. A discussion of supervised learning covers available datasets, feature sets which describe relation instances, and successful algorithms. An overview of weakly supervised and unsupervised learning zooms in on the acquisition of relations from large corpora with hardly any annotated data. We show how bootstrapping from seed examples or patterns scales up to very large text collections on the Web. We also present machine learning techniques in which data redundancy and variability lead to fast and reliable relation extraction. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aNatural language processing (Computer science). _94741 |
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650 | 0 |
_aComputational linguistics. _96146 |
|
650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aNatural Language Processing (NLP). _931587 |
650 | 2 | 4 |
_aComputational Linguistics. _96146 |
700 | 1 |
_aNakov, Preslav. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _983850 |
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700 | 1 |
_aSéaghdha, Diarmuid Ó. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _983852 |
|
700 | 1 |
_aSzpakowicz, Stan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _983853 |
|
710 | 2 |
_aSpringerLink (Online service) _983856 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031010200 |
776 | 0 | 8 |
_iPrinted edition: _z9783031032769 |
830 | 0 |
_aSynthesis Lectures on Human Language Technologies, _x1947-4059 _983857 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02148-0 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
_c85570 _d85570 |