Dunn, J. (2013). Automatic Identification of Metaphoric Utterances. PhD Dissertation. Purdue University. Abstract. This dissertation analyzes the problem of metaphor identification in linguistic and computational semantics, considering both manual and automatic approaches. It describes a manual approach to metaphor identification, the Metaphoricity Measurement Procedure (MMP), and compares this approach with other manual approaches. The dissertation … More Automatic Identification of Metaphoric Utterances

Dunn, J. (2010). Towards a Computational Model of Metaphor. MA Thesis. Purdue University. Abstract. This thesis works towards a micro-theory of metaphor within the ontological semantics framework. It does so using a parameter-based system modeled roughly after Attardo and Raskin’s (1991) general theory of verbal humor. At the same time, it tries to convert Lakoff … More Towards a Computational Model of Metaphor

Dunn, J. (2020). “Ontological and Grammatical Constraints on Metaphor Productivity.” In Attardo, S. (ed.), Script-Based Semantics Foundations and Applications. Essays in Honor of Victor Raskin. De Gruyter: 55-76. Abstract. Traditional approaches view metaphor as a semantic/pragmatic phenomenon that occurs at a conceptual level as mappings between independent concepts. These conceptual mappings are then lexicalized into … More Ontological and Grammatical Constraints on Metaphor Productivity

Dunn, J. (2011). “Gradient Semantic Intuitions of Metaphoric Expressions.” Metaphor & Symbol, 26(1): 53-67. Abstract. Metaphoric expressions are not all equal, in the sense that some are intuitively more or less metaphoric than others. Part of this intuition is influenced by the underlying metaphor, but another part is influenced by the linguistic expression which carries … More Gradient Semantic Intuitions of Metaphoric Expressions

Dunn, J. (2013). “What Metaphor Identification Systems Can Tell Us About Metaphor-in-Language.” In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: First Workshop on Metaphor in NLP (NAACL 2013). Stroudsburg, PA: Association for Computational Linguistics. 1-10. Abstract. This paper evaluates four metaphor identification systems on the 200,000 word … More What Metaphor Identification Systems Can Tell Us About Metaphor-in-Language

Dunn, J. (2013). “Evaluating the Premises and Results of Four Metaphor Identification Systems.” In Proceedings of the Conference on Intelligent Text Processing and Computational Linguistics, Vol. 1 (CICLING 2013). Heidelberg: Springer. 471-486. Abstract. This study first examines the implicit and explicit premises of four systems for identifying metaphoric utterances from unannotated input text. All four … More Evaluating the Premises and Results of Metaphor Identification Systems

Dunn, J. (2013). “How Linguistic Structure Influences and Helps To Predict Metaphoric Meaning.” Cognitive Linguistics, 24(1): 33-66. Abstract. This paper argues that two properties of the linguistic structure of an utterance influence and partially determine whether the utterance has a metaphoric meaning that results in a stable interpretation: (i) degree of metaphoricity and (ii) degree … More How Linguistic Structure Influences Metaphoric Meaning

Dunn, J.; Beltran de Heredia, J.; Burke, M.; Gandy, L.; Kanareykin, S.; Kapah, O.; Taylor, M.; Hines, D.; Frieder, O.; Grossman, D.; Howard, N.; Koppel, M.; Morris, S.; Ortony, A.; & Argamon, S. (2014). “Language-Independent Ensemble Approaches to Metaphor Identification.” In Proceedings of the 28th Conference on Artificial Intelligence: Workshop on Cognitive Computing for Augmented … More Language-Independent Approaches to Metaphor Identification

Dunn, J. (2014). “Multi-Dimensional Abstractness in Cross-Domain Mappings.” In Proceedings of the Annual Meeting of the Association for Computational Linguistics: Workshop on Metaphor in NLP (ACL 2014). Stroudsburg, PA: Association for Computational Linguistics. 27-32. Abstract. Metaphor is a cognitive process that shapes abstract target concepts by mapping them to concrete source concepts. Thus, many computational … More Multi-Dimensional Abstractness in Cross-Domain Mappings

Dunn, J. (2014). “Measuring Metaphoricity.” In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2014). Stroudsburg, PA: Association for Computational Linguistics. 745-751. Abstract. This paper presents the first computationally-derived scalar measurement of metaphoricity. Each input sentence is given a value between 0 and 1 which represents how metaphoric that sentence is. … More Measuring Metaphoricity