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03755nam a22005655i 4500 |
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978-3-540-71412-5 |
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DE-He213 |
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20200701221723.0 |
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cr nn 008mamaa |
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100301s2007 gw | s |||| 0|eng d |
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|a 9783540714125
|9 978-3-540-71412-5
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|a 10.1007/978-3-540-71412-5
|2 doi
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|a P151-152
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|a CFK
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|a LAN006000
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|a CFK
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|a 415
|2 23
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|a Anaphora: Analysis, Algorithms and Applications
|h [electronic resource] :
|b 6th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2007, Lagos Portugal, March 29-30, 2007, Selected Papers /
|c edited by António Branco.
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| 250 |
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|a 1st ed. 2007.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2007.
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|a X, 192 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
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|a Lecture Notes in Artificial Intelligence ;
|v 4410
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|a Human Processing and Performance -- Nuclear Accent Placement and Other Prosodic Parameters as Cues to Pronoun Resolution -- Empirically Assessing Effects of the Right Frontier Constraint -- Pronoun Resolution and the Influence of Syntactic and Semantic Information on Discourse Prominence -- Language Analysis and Representation -- Anaphora Resolution as Equality by Default -- Null Subjects Are Reflexives, Not Pronouns -- Using Very Large Parsed Corpora and Judgment Data to Classify Verb Reflexivity -- An Empirical Investigation of the Relation Between Coreference and Quotations: Can a Pronoun Located in Quotations Find Its Referent? -- Resolution Methodology and Algorithms -- Applying Backpropagation Networks to Anaphor Resolution -- Improving Coreference Resolution Using Bridging Reference Resolution and Automatically Acquired Synonyms -- Evaluating Hybrid Versus Data-Driven Coreference Resolution -- Computational Systems and Applications -- Automatic Anaphora Resolution for Norwegian (ARN) -- “Who Are We Talking About?” Tracking the Referent in a Question Answering Series -- Anaphora Resolution: To What Extent Does It Help NLP Applications?.
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|a Grammar.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Natural language processing (Computer science).
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| 650 |
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|a Data mining.
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| 650 |
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|a Mathematical logic.
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1 |
4 |
|a Grammar.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/N24000
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| 650 |
2 |
4 |
|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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| 650 |
2 |
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|a Natural Language Processing (NLP).
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21040
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| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18030
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| 650 |
2 |
4 |
|a Natural Language Processing (NLP).
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21040
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| 650 |
2 |
4 |
|a Mathematical Logic and Formal Languages.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I16048
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| 700 |
1 |
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|a Branco, António.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783540836483
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| 776 |
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|i Printed edition:
|z 9783540714118
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| 830 |
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|a Lecture Notes in Artificial Intelligence ;
|v 4410
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-540-71412-5
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| 912 |
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| 912 |
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|a ZDB-2-SXCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
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