all AI news
Word Order's Impacts: Insights from Reordering and Generation Analysis
March 19, 2024, 4:53 a.m. | Qinghua Zhao, Jiaang Li, Lei Li, Zenghui Zhou, Junfeng Liu
cs.CL updates on arXiv.org arxiv.org
Abstract: Existing works have studied the impacts of the order of words within natural text. They usually analyze it by destroying the original order of words to create a scrambled sequence, and then comparing the models' performance between the original and scrambled sequences. The experimental results demonstrate marginal drops. Considering this findings, different hypothesis about word order is proposed, including ``the order of words is redundant with lexical semantics'', and ``models do not rely on word …
abstract analysis analyze arxiv cs.ai cs.cl experimental impacts insights natural performance results text type word words
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Robotics Technician - 3rd Shift
@ GXO Logistics | Perris, CA, US, 92571