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Luis Espinosa Anke

6 accepted 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…

Cited by 1Source ↗PDF ↗code ↗Scholar ↗
2025

GEAR: A Simple GENERATE, EMBED, AVERAGE AND RANK Approach for Unsupervised Reverse Dictionary

Fatemah Yousef Almeman, Luis Espinosa Anke
COLING 2025main

Reverse Dictionary (RD) is the task of obtaining the most relevant word or set of words given a textual description or dictionary definition. Effective RD methods have applications in accessibility, translation or writing support systems. Moreover, in NLP research we find RD to be used to benchmark…

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2024

AMenDeD: Modelling Concepts by Aligning Mentions, Definitions and Decontextualised Embeddings

Amit Gajbhiye, Zied Bouraoui, Luis Espinosa Anke, Steven Schockaert
COLING 2024main

Contextualised Language Models (LM) improve on traditional word embeddings by encoding the meaning of words in context. However, such models have also made it possible to learn high-quality decontextualised concept embeddings. Three main strategies for learning such embeddings have thus far been con…

Cited by 1Source ↗PDF ↗code ↗Scholar ↗
2024

WordNet under Scrutiny: Dictionary Examples in the Era of Large Language Models

Fatemah Yousef Almeman, Steven Schockaert, Luis Espinosa Anke
COLING 2024main

Dictionary definitions play a prominent role in a wide range of NLP tasks, for instance by providing additional context about the meaning of rare and emerging terms. Many dictionaries also provide examples to illustrate the prototypical usage of words, which brings further opportunities for training…

Cited by 1Source ↗PDF ↗Scholar ↗
2021

BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?

Asahi Ushio, Luis Espinosa Anke, Steven Schockaert, Jose Camacho-Collados
ACL 2021long

Analogies play a central role in human commonsense reasoning. The ability to recognize analogies such as “eye is to seeing what ear is to hearing”, sometimes referred to as analogical proportions, shape how we structure knowledge and understand language. Surprisingly, however, the task of identifyin…

Cited by 98Source ↗PDF ↗code ↗Scholar ↗
2020

Don’t Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities

Carla Perez Almendros, Luis Espinosa Anke, Steven Schockaert
COLING 2020main

In this paper, we introduce a new annotated dataset which is aimed at supporting the development of NLP models to identify and categorize language that is patronizing or condescending towards vulnerable communities (e.g. refugees, homeless people, poor families). While the prevalence of such languag…

Cited by 59Source ↗PDF ↗code ↗Scholar ↗