16 citations · 20 across the 5 of their papers we have counts for
7 papers · 1 filter
WiC is Not WSD: A Study on LLMs and Lexical Ambiguity Resolution
Yi Zhou, Kiamehr Rezaee, Danushka Bollegala +2
Word-in-Context (WiC) remains challenging for language models, despite recent progress on lexical-semantic tasks. We hypothesise that this difficulty arises not only from comparing…
Exploring State Tracking Capabilities of Large Language Models
Kiamehr Rezaee, Jose Camacho-Collados, Mohammad Taher Pilehvar
Large Language Models (LLMs) have demonstrated impressive capabilities in solving complex tasks, including those requiring a certain level of reasoning. In this paper, we focus on…
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri +5
Despite its relevance, the maturity of NLP for social media pales in comparison with general-purpose models, metrics and benchmarks. This fragmented landscape makes it hard for the…
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.…
TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Jose Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi +11
In this paper we present TweetNLP, an integrated platform for Natural Language Processing (NLP) in social media. TweetNLP supports a diverse set of NLP tasks, including generic foc…
Analysis and Evaluation of Language Models for Word Sense Disambiguation
Daniel Loureiro, Kiamehr Rezaee, Mohammad Taher Pilehvar +1
Transformer-based language models have taken many fields in NLP by storm. BERT and its derivatives dominate most of the existing evaluation benchmarks, including those for Word Sen…