Evaluating the Premises and Results of Four Metaphor Identification Systems

[Read full-text: Evaluating the premises of metaphor identification systems] [Data: https://drive.google.com/open?id=0B6oBPlj4dynZcWttNnhPblRjZ0k%5D This study first examines the implicit and explicit premises of four systems for identifying metaphoric utterances from unannotated input text. All four systems are then evaluated on a common data set in order to see which premises are most successful. The goal is to … More Evaluating the Premises and Results of Four Metaphor Identification Systems

How Linguistic Structure Influences and Helps To Predict Metaphoric Meaning

[Read full-text: How linguistic structure influences metaphoric meaning] [Data: https://drive.google.com/open?id=0B6oBPlj4dynZLUJBemk5djlzN28%5D 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 of metaphoric saturation. A majority of metaphoric utterances … More How Linguistic Structure Influences and Helps To Predict Metaphoric Meaning

Language-Independent Ensemble Approaches to Metaphor Identification

[Read full-text: Language-independent metaphor identification] [Data: https://drive.google.com/open?id=0B6oBPlj4dynZTC0yX2Q0M0lyODQ%5D True natural language understanding requires the ability to identify and understand metaphorical utterances, which are ubiquitous in human communication of all kinds. At present, however, even the problem of identifying metaphors in arbitrary text is very much an unsolved problem, let alone analyzing their meaning. Furthermore, no current … More Language-Independent Ensemble Approaches to Metaphor Identification

Multi-Dimensional Abstractness in Cross-Domain Mappings

[Read full-text: Multi-dimensional abstractness in cross-domain mappings] [Data: https://drive.google.com/open?id=0B6oBPlj4dynZNXdaYXFxTXZqTmc%5D Metaphor is a cognitive process that shapes abstract target concepts by mapping them to concrete source concepts. Thus, many computational approaches to metaphor make reference, directly or indirectly, to the abstractness of words and concepts. The property of abstractness, however, remains theoretically and empirically unexplored. This … More Multi-Dimensional Abstractness in Cross-Domain Mappings

Measuring Metaphoricity

[Read full-text: Measuring metaphoricity] [Data: https://drive.google.com/open?id=0B6oBPlj4dynZbWxmc2xFaThwT28%5D 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. This measure achieves a correlation of 0.450 (Pearson’s R, p <0.01) with an experimental measure of metaphoricity involving human participants. While … More Measuring Metaphoricity

Modeling Abstractness and Metaphoricity

[Read full-text: Abstractness and metaphoricity] [Data: https://drive.google.com/open?id=0B6oBPlj4dynZZmxQWDV5dlV1eHc%5D 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 from less abstract concepts to more … More Modeling Abstractness and Metaphoricity

Three Types of Metaphoric Utterances That Can Synthesize Theories of Metaphor

[Read full-text: Three types of metaphoric utterances] [Data: https://drive.google.com/open?id=0B6oBPlj4dynZOWlqdGhmQ0NFRFk%5D 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. Evidence for these three types of metaphoric utterances comes from introspective … More Three Types of Metaphoric Utterances That Can Synthesize Theories of Metaphor

Profile-Based Authorship Analysis

[Read Full-Text: Profile-based Authorship Analysis] [Data: https://drive.google.com/open?id=0B6oBPlj4dynZb1IzRnBnWDdPRXM%5D 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 analysis tasks: (1) determining shared authorship of pairs of texts without a set of … More Profile-Based Authorship Analysis

Computational Learning of Construction Grammars

[Read Full-Tex: Computational Learning of Construction Grammars] [Original Data: https://drive.google.com/open?id=0B6oBPlj4dynZTFlXV1JNbF9GNEE%5D [Current code: https://github.com/jonathandunn/c2xg%5D 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 model … More Computational Learning of Construction Grammars

Modeling the Complexity and Descriptive Adequacy of Construction Grammars

[Read Full-Text: Modeling construction grammars] [Code: https://github.com/jonathandunn/c2xg%5D This paper uses the Minimum Description Length paradigm to model the complexity of CxGs (operationalized as the encoding size of a grammar) alongside their descriptive adequacy (operationalized as the encoding size of a corpus given a grammar). These two quantities are combined to measure the quality of potential … More Modeling the Complexity and Descriptive Adequacy of Construction Grammars