What Metaphor Identification Systems Can Tell Us About Metaphor-in-Language

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

Evaluating the Premises and Results of Metaphor Identification Systems

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

How Linguistic Structure Influences Metaphoric Meaning

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

Language-Independent Approaches to Metaphor Identification

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

Multi-Dimensional Abstractness in Cross-Domain Mappings

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

Measuring Metaphoricity

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

Modeling Abstractness and Metaphoricity

Dunn, J. (2015) “Modeling Abstractness and Metaphoricity.” Metaphor & Symbol, 30(4): 259-289. Abstract. This paper presents and evaluates a model of how the abstractness of source and target concepts influences metaphoricity, the property of how metaphoric a linguistic metaphoric expression is. The purpose of this is to investigate the long-standing claim that metaphoric mappings are … More Modeling Abstractness and Metaphoricity

Three Types of Metaphoric Utterances

Dunn, J. (2015). “Three Types of Metaphoric Utterances That Can Synthesize Theories of Metaphor.” Metaphor & Symbol, 30(1): 1-23. Abstract. This article argues that there are three types of metaphoric utterances that can be defined by (a) the contextual stability of the utterance’s interpretation and (b) the presence or absence of a conceptual source–target mapping. … More Three Types of Metaphoric Utterances

Profile-Based Authorship Analysis

Dunn, J; Argamon, S; Rasooli, A.; & Kumar, G. (2016) “Profile-Based Authorship Analysis.” Digital Scholarship in the Humanities, 31(4): 689-710. Abstract. This article presents a profile-based authorship analysis method which first categorizes texts according to social and conceptual characteristics of their author (e.g. Sex and Political Ideology) and then combines these profiles for two authorship … More Profile-Based Authorship Analysis

Computational Learning of Construction Grammars

Dunn, J. (2017). “Computational Learning of Construction Grammars.” Language and Cognition, 9(2): 254-292. Abstract. This paper presents an algorithm for learning the construction grammar of a language from a large corpus. This grammar induction algorithm has two goals: first, to show that construction grammars are learnable without highly specified innate structure; second, to develop a … More Computational Learning of Construction Grammars