Machines and metaphors: Challenges for the detection, interpretation and production of metaphors by computer programs.
Powerful transformer models based on neural networks such as GPT‐4 have enabled huge progress in natural language processing. This paper identifies three challenges for computer programs dealing with metaphors. First, the phenomenon of Twice‐Apt‐Metaphors shows that metaphorical interpretations do n...
| Publicado en: | Theoria: A Swedish Journal of Philosophy Vol. 89; no. 5; pp. 607 - 625 |
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| Formato: | Artículo |
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Wiley-Blackwell
Oct2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=173824373&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 173824373 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00405825 HL0 jtl: Theoria: A Swedish Journal of Philosophy issn: 00405825 maglogo: Y pubinfo: dt: Oct2023 vid: 89 iid: 5 pid: 480 pub: Wiley-Blackwell artinfo: ui: 173824373 10.1111/theo.12481 ppf: 607 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P size: 272KB tig: atl: Machines and metaphors: Challenges for the detection, interpretation and production of metaphors by computer programs. aug: au: Hesse, Jacob affil: Ruhr‐University Bochum, Bochum, Germany su: Metaphor Computer programming Natural language processing Philosophy of language Pragmatics sug: subj: Metaphor Computer programming Natural language processing Philosophy of language Pragmatics keyword: AI metaphor natural language processing philosophy of language ab: Powerful transformer models based on neural networks such as GPT‐4 have enabled huge progress in natural language processing. This paper identifies three challenges for computer programs dealing with metaphors. First, the phenomenon of Twice‐Apt‐Metaphors shows that metaphorical interpretations do not have to be triggered by syntactical, semantic or pragmatic tensions. The detection of these metaphors seems to involve a sense of aesthetic pleasure or a higher‐order theory of mind, both of which are difficult to implement into computer programs. Second, the contexts relative to which metaphors are interpreted are not simply given but must be reconstructed based on pragmatic considerations that can involve presuppositional pretence. If computer programs cannot produce or understand such a form of pretence, they will have problems dealing with certain metaphors. Finally, adequately interpreting and reacting to some metaphors seems to require the ability to have internal, first‐personal experiential and affective states. Since it is questionable whether computer programs have such mental states, it can be assumed that they will have problems with these kinds of metaphors. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Theoria: A Swedish Journal of Philosophy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Theoria: A Swedish Journal of Philosophy holder: Wiley-Blackwell dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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