Predicting Word Similarity in Context with Referential Translation Machines

Autor:	Biçici, Ergun
Rok vydání:	2024
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence I.2.7
Druh dokumentu:	Working Paper
Popis:	We identify the similarity between two words in English by casting the task as machine translation performance prediction (MTPP) between the words given the context and the distance between their similarities. We use referential translation machines (RTMs), which allows a common representation for training and test sets and stacked machine learning models. RTMs can achieve the top results in Graded Word Similarity in Context (GWSC) task. Comment: 11 pages, 3 figures, 8 tables. arXiv admin note: substantial text overlap with arXiv:2407.05154
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2407.06230 Zobrazit plný text záznamu View this record from Arxiv