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Context-gloss augmentation for improving arabic target sense verification
Arabic language lacks semantic datasets and sense inventories. The most common
semantically-labeled dataset for Arabic is the ArabGlossBERT, a relatively small dataset that …
semantically-labeled dataset for Arabic is the ArabGlossBERT, a relatively small dataset that …
NLU-STR at semeval-2024 task 1: Generative-based augmentation and encoder-based scoring for semantic textual relatedness
Semantic textual relatedness is a broader concept of semantic similarity. It measures the
extent to which two chunks of text convey similar meaning or topics, or share related …
extent to which two chunks of text convey similar meaning or topics, or share related …
[PDF][PDF] GPT-2 contextual data augmentation for word sense disambiguation
Abstract Most Word-Sense Disambiguation (WSD) systems rely on machine learning
approaches that require large-scale corpora for effective training. So, the quality of a WSD …
approaches that require large-scale corpora for effective training. So, the quality of a WSD …
PoliTo at SemEval-2023 task 1: Clip-based visual-word sense disambiguation based on back-translation
Abstract Visual-Word Sense Disambiguation (V-WSD) entails resolving the linguistic
ambiguity in a text by selecting a clarifying image from a set of (potentially misleading) …
ambiguity in a text by selecting a clarifying image from a set of (potentially misleading) …