10 citations · 33 across the 39 of their papers we have counts for
4 papers · 1 filter
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization
Alessandro Raganato, Tommaso Pasini, Jose Camacho-Collados +1
The ability to correctly model distinct meanings of a word is crucial for the effectiveness of semantic representation techniques. However, most existing evaluation benchmarks for…
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…
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter
Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar +3
We present a new challenging stance detection dataset, called Will-They-Won't-They (WT-WT), which contains 51,284 tweets in English, making it by far the largest available dataset…
WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context
Anna Breit, Artem Revenko, Kiamehr Rezaee +2
We present WiC-TSV, a new multi-domain evaluation benchmark for Word Sense Disambiguation. More specifically, we introduce a framework for Target Sense Verification of Words in Con…