Metaphor, Semantic Preferences and Context-Sensitivity

Barnden, John A.

doi:10.1007/1-4020-5833-0_2

Cited by 17 publications

(13 citation statements)

References 22 publications

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“…Fainsilber and Ortony (1987) commented that "an important function of metaphorical language is to permit the expression of that which is difficult to express using literal language alone". There is also study on general linguistic cues on affect implication in figurative expressions as theoretical inspiration to our research (Kövecses, 1998;Barnden, 2007;Zhang et al, 2009). Thus affect detection from metaphorical and simile phenomena draws our research attention.…”

Section: Introductionmentioning

confidence: 89%

Affect Interpretation in Metaphorical and Simile Phenomena and Multithreading Dialogue Context

Zhang¹

2012

Human Machine Interaction - Getting Closer

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Section: Introductionmentioning

confidence: 89%

Affect Interpretation in Metaphorical and Simile Phenomena and Multithreading Dialogue Context

Zhang¹

2012

Human Machine Interaction - Getting Closer

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“…In my workshop presentation I explored some implications for ontologies, lexical resources, discourse handling and text mining of my work on ATT-Meta, a reasoning system designed to work out the significance of a broad class of metaphorical utterances (see for instance Barnden 2007Barnden , 2008. This class includes "map-transcending" utterances, resting on familiar, general metaphorical views (e.g., the view of IDEAS AS PHYSICAL OBJECTS) but going beyond them by including source subject-matter elements (elements concerning PHYSICAL OBJECTS in the case of that view) that are not handled by the source-target mappings established in those views.…”

mentioning

confidence: 99%

“…Although such phraseology is common in mundane discourse, and it is therefore probably beneficial to include some of it in lexicons and WordNet-like resources, the phraseology can be richly, systematically and open-endedly varied in ways that require ATT-Meta-style reasoning (Barnden 2007). (See also Langlotz 2006, and Moon 1998, on variation; and see the Langlotz article on the role of reasoning, cast there as metonymic acts within the source subject-matter.…”

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confidence: 99%

Challenges in natural language processing: the case of metaphor (commentary)

Barnden

2008

Int J Speech Technol

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This article comments on some ways in which metaphor is relevant to practical language technology, for either text or speech. While the article mentions some deep problems, it nevertheless points out that certain issues are less troublesome than they might appear to be, and that metaphor in real discourse has some characteristics that could help, rather than hinder, practical discourseprocessing. The article also mentions the author's ongoing work on developing a new view of how metaphor and metonymy relate to each other. This view is based on a deconstruction into underlying dimensions.Keywords Metaphor · Metonymy · Figurative language · Natural language understanding · Natural language technology · Natural language pragmatics · Discourse processing · Lexical resources · Language resources · Ontologies Of the many challenges facing the practical application of natural language processing, there is one in particular that has seen especially little serious computational attention: namely the problem of metaphor. Although many researchers not in the metaphor area may be tempted to think of metaphor as a peripheral problem (perhaps mostly to do with poetry and other literary language) it is in fact a pervasive feature of mundane language (conversation, newspaper articles, popular science writing, etc.). See for instance many of the contributions to a recent metaphor handbook (Gibbs 2008).

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“…In other work, we have conducted research on metaphor in general (see, e.g. [24,25]), and are now applying it to the e-drama application, and conversely using the application as a useful source of theoretical inspiration.…”

Section: Metaphorical Language Processing In Emmamentioning

confidence: 99%

“…This concerns various types of information that we propose are transferred by default in metaphor generally, irrespective of the particular metaphorical view or views taken by the utterance (e.g., whether it views a mind as a physical container or a company as an animal). We have proposed in other work [24,25] that -amongst various other types of information -emotional attitudes, value judgments and propositions concerning reduced functionality are transferred from source to target. We call the particular transfer principles involved view-neutral mapping adjuncts (VNMAs).…”

Section: Affect Via Metaphor -Theoretical Analysis In E-drama Transcrmentioning

confidence: 99%

Affect Detection and an Automated Improvisational AI Actor in E-Drama

Zhang

Gillies

Barnden

et al.

Artifical Intelligence for Human Computing

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Abstract. Enabling machines to understand emotions and feelings of the human users in their natural language textual input during interaction is a challenging issue in Human Computing. Our work presented here has tried to make our contribution toward such machine automation. We report work on adding affect-detection to an existing e-drama program, a text-based software system for dramatic improvisation in simple virtual scenarios, for use primarily in learning contexts. The system allows a human director to monitor improvisations and make interventions, for instance in reaction to excessive, insufficient or inappropriate emotions in the characters' speeches. Within an endeavour to partially automate directors' functions, and to allow for automated affective bit-part characters, we have developed an affect-detection module. It is aimed at detecting affective aspects (concerning emotions, moods, value judgments, etc.) of human-controlled characters' textual "speeches". The work also accompanies basic research into how affect is conveyed linguistically. A distinctive feature of the project is a focus on the metaphorical ways in which affect is conveyed. Moreover, we have also introduced how the detected affective states activate the animation engine to produce gestures for humancontrolled characters. The description of our approach in this paper is taken in part from our previous publications [1,2] with new contributions mainly on metaphorical language processing (practically and theoretically), 3D emotional animation generation and user testing evaluation. Finally, Our work on affect detection in open-ended improvisational text contributes to the development of automatic understanding of human language and emotion. The generation of emotional believable animations based on detected affective states and the production of appropriate responses for the automated affective bit-part character based on the detection of affect contribute greatly to the ease and innovative user interface in e-drama, which leads to high-level user engagement and enjoyment.

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Metaphor, Semantic Preferences and Context-Sensitivity

Cited by 17 publications

References 22 publications

Affect Interpretation in Metaphorical and Simile Phenomena and Multithreading Dialogue Context

Affect Interpretation in Metaphorical and Simile Phenomena and Multithreading Dialogue Context

Challenges in natural language processing: the case of metaphor (commentary)

Affect Detection and an Automated Improvisational AI Actor in E-Drama

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