arXiv:1906.09912
공식 코드 · Papers with Code
KaWAT: A Word Analogy Task Dataset for Indonesian
원문 초록
We introduced KaWAT (Kata Word Analogy Task), a new word analogy task dataset for Indonesian. We evaluated on it several existing pretrained Indonesian word embeddings and embeddings trained on Indonesian online news corpus. We also tested them on two downstream tasks and found that pretrained word embeddings helped either by reducing the training epochs or yielding significant performance gains.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings
A Comparative Analysis of Static Word Embeddings for Hungarian
Geological Inference from Textual Data using Word Embeddings
Words as Bridges: Exploring Computational Support for Cross-Disciplinary Translation Work
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction
QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion
토론
이 논문과 연결된 포럼 글이 아직 없습니다.