activity
20162023
most citedTimeLMs: Diachronic Language Models from Twitter

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

collaborators

25 papers

cs.CL2023

WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Dataset

Hsuvas Borkakoty, Luis Espinosa-Anke

A fundamental challenge in the current NLP context, dominated by language models, comes from the inflexibility of current architectures to 'learn' new information. While model-cent…

cs.CL2023

3D-EX : A Unified Dataset of Definitions and Dictionary Examples

Fatemah Almeman, Hadi Sheikhi, Luis Espinosa-Anke

Definitions are a fundamental building block in lexicography, linguistics and computational semantics. In NLP, they have been used for retrofitting word embeddings or augmenting co…

cs.CL2023★ 3 cited

Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter

Daniel Loureiro, Kiamehr Rezaee, Talayeh Riahi +4

This paper introduces a large collection of time series data derived from Twitter, postprocessed using word embedding techniques, as well as specialized fine-tuned language models.…

cs.CL2022★ 13 cited

TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media

Daniel Loureiro, Aminette D'Souza, Areej Nasser Muhajab +6

Language evolves over time, and word meaning changes accordingly. This is especially true in social media, since its dynamic nature leads to faster semantic shifts, making it chall…

cs.CL2022★ 27 cited

TimeLMs: Diachronic Language Models from Twitter

Daniel Loureiro, Francesco Barbieri, Leonardo Neves +2

Despite its importance, the time variable has been largely neglected in the NLP and language model literature. In this paper, we present TimeLMs, a set of language models specializ…

cs.CL2022

Distilling Hypernymy Relations from Language Models: On the Effectiveness of Zero-Shot Taxonomy Induction

Devansh Jain, Luis Espinosa Anke

In this paper, we analyze zero-shot taxonomy learning methods which are based on distilling knowledge from language models via prompting and sentence scoring. We show that, despite…