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20162023
most citedTimeLMs: Diachronic Language Models from Twitter

27 citations · 116 across the 23 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021

Overview of ADoBo 2021: Automatic Detection of Unassimilated Borrowings in the Spanish Press

Elena Álvarez Mellado, Luis Espinosa Anke, Julio Gonzalo Arroyo +2

This paper summarizes the main findings of the ADoBo 2021 shared task, proposed in the context of IberLef 2021. In this task, we invited participants to detect lexical borrowings (…

cs.CL2021

Deriving Disinformation Insights from Geolocalized Twitter Callouts

David Tuxworth, Dimosthenis Antypas, Luis Espinosa-Anke +3

This paper demonstrates a two-stage method for deriving insights from social media data relating to disinformation by applying a combination of geospatial classification and embedd…

cs.CL2021

Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection

Yixiao Wang, Zied Bouraoui, Luis Espinosa Anke +1

One of the long-standing challenges in lexical semantics consists in learning representations of words which reflect their semantic properties. The remarkable success of word embed…

cs.CL2021★ 1 cited

Probing Pre-Trained Language Models for Disease Knowledge

Israa Alghanmi, Luis Espinosa-Anke, Steven Schockaert

Pre-trained language models such as ClinicalBERT have achieved impressive results on tasks such as medical Natural Language Inference. At first glance, this may suggest that these…

cs.CL2021★ 3 cited

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

Asahi Ushio, Luis Espinosa-Anke, Steven Schockaert +1

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 analogi…