Joanne Boisson — accepted AI-conference papers

2025

Automatic Extraction of Metaphoric Analogies from Literary Texts: Task Formulation, Dataset Construction, and Evaluation

Joanne Boisson, Zara Siddique, Hsuvas Borkakoty, Dimosthenis Antypas, Luis Espinosa Anke, Jose Camacho-Collados

COLING 2025main

Extracting metaphors and analogies from free text requires high-level reasoning abilities such as abstraction and language understanding. Our study focuses on the extraction of the concepts forming metaphoric analogies in literary texts. To this end, we construct a novel dataset in this domain with…

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2025

METAPHORSHARE: A Dynamic Collaborative Repository of Open Metaphor Datasets

Joanne Boisson, Arif Mehmood, Jose Camacho-Collados

NAACL 2025system demonstrations

The metaphor studies community has developed numerous valuable labelled corpora in various languages over the years. Many of these resources are not only unknown to the NLP community, but are also often not easily shared among the researchers. Both in human sciences and in NLP, researchers could ben…

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2023

Construction Artifacts in Metaphor Identification Datasets

Joanne Boisson, Luis Espinosa-Anke, Jose Camacho-Collados

EMNLP 2023short main

Metaphor identification aims at understanding whether a given expression is used figuratively in context. However, in this paper we show how existing metaphor identification datasets can be gamed by fully ignoring the potential metaphorical expression or the context in which it occurs. We test this…

Cited by 11 Source ↗Scholar ↗