Search Results for author: Thi Hong Hanh Tran

Found 2 papers, 1 papers with code

JSI at SemEval-2022 Task 1: CODWOE - Reverse Dictionary: Monolingual and cross-lingual approaches

1 code implementation SemEval (NAACL) 2022 Thi Hong Hanh Tran, Matej Martinc, Matthew Purver, Senja Pollak

The reverse dictionary task is a sequence-to-vector task in which a gloss is provided as input, and the output must be a semantically matching word vector.

Reverse Dictionary Zero-Shot Learning

IJS at TextGraphs-16 Natural Language Premise Selection Task: Will Contextual Information Improve Natural Language Premise Selection?

no code implementations COLING (TextGraphs) 2022 Thi Hong Hanh Tran, Matej Martinc, Antoine Doucet, Senja Pollak

The results demonstrate that the contextual representation is better at capturing meaningful information despite not being pretrained in the mathematical background compared to the statistical approach (e. g., the TF-IDF) with a boost of around 3. 00% MAP@500.

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