000 | 04230nam a2200577 i 4500 | ||
---|---|---|---|
001 | 7862441 | ||
003 | IEEE | ||
005 | 20220712204901.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 170316s2016 mau ob 001 eng d | ||
019 |
_a958096833 _a958392636 _a962392071 |
||
020 |
_a9780262335324 _qelectronic bk. |
||
020 |
_z0262335328 _qelectronic bk. |
||
020 |
_z9780262335317 _qelectronic bk. |
||
020 |
_z026233531X _qelectronic bk. |
||
020 |
_z9780262034555 _qhardcover |
||
020 |
_z0262034557 _qhardcover |
||
035 | _a(CaBNVSL)mat07862441 | ||
035 | _a(IDAMS)0b00006485bebefe | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
050 | 4 |
_aP325.5.R44 _bD43 2015eb |
|
082 | 0 | 4 |
_a410.1/835 _223 |
100 | 1 |
_aDeemter, Kees van, _eauthor. _925002 |
|
245 | 1 | 0 |
_aComputational models of referring : _ba study in cognitive science / _cKees van Deemter. |
264 | 1 |
_aCambridge, Massachusetts : _bThe MIT Press, _c[2016] |
|
264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2016] |
|
300 | _a1 PDF (x, 339 pages). | ||
336 |
_atext _2rdacontent |
||
337 |
_aelectronic _2isbdmedia |
||
338 |
_aonline resource _2rdacarrier |
||
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aFirst part : Setting the stage -- Aims and scope of this book -- Theories of reference -- They psychology of reference production -- Second part : solving the classic REG problem -- Getting computers to refer -- Testing REG algorithms : the TUNA experiment -- Probabilistic and other alternatives to teh classic REG algorithms -- Third part : Generating a wider class of RES -- First extension : using proper names -- | |
506 | _aRestricted to subscribers or individual electronic text purchasers. | ||
520 | _a"To communicate, speakers need to make it clear what they are talking about. The act of referring, which anchors words to things, is a fundamental aspect of language. In this book, Kees van Deemter shows that computational models of reference offer attractive tools for capturing the complexity of referring. Indeed, the models van Deemter presents cover many issues beyond the basic idea of referring to an object, including reference to sets, approximate descriptions, descriptions produced under uncertainty concerning the hearer's knowledge, and descriptions that aim to inform or influence the hearer. The book, which can be read as a case study in cognitive science, draws on perspectives from across the cognitive sciences, including philosophy, experimental psychology, formal logic, and computer science. Van Deemter advocates a combination of computational modeling and careful experimentation as the preferred method for expanding these insights. He then shows this method in action, covering a range of algorithms and a variety of methods for testing them. He shows that the method allows us to model logically complicated referring expressions, and demonstrates how we can gain an understanding of reference in situations where the speaker's knowledge is difficult to assess or where the referent resists exact definition. Finally, he proposes a program of research that addresses the open questions that remain in this area, arguing that this program can significantly enhance our understanding of human communication"--MIT CogNet. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web | ||
588 | _aDescription based on print version record. | ||
650 | 0 |
_aReference (Linguistics) _925003 |
|
650 | 0 |
_aPresupposition (Logic) _925004 |
|
650 | 0 |
_aComputational linguistics. _96146 |
|
650 | 7 |
_aComputational linguistics. _2fast _96146 |
|
650 | 7 |
_aPresupposition (Logic) _2fast _925004 |
|
650 | 7 |
_aReference (Linguistics) _2fast _925003 |
|
655 | 0 |
_aElectronic books. _93294 |
|
710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _925005 |
|
710 | 2 |
_aMIT Press, _epublisher. _925006 |
|
776 | 0 | 8 |
_iPrint version: _aDeemter, Kees van. _tComputational models of referring. _dCambridge, MA : The MIT Press, [2016] _z9780262034555 _w(DLC) 2015038523 _w(OCoLC)927241516 |
856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7862441 |
942 | _cEBK | ||
999 |
_c73485 _d73485 |