all AI news
Measuring Alignment Bias in Neural Seq2Seq Semantic Parsers. (arXiv:2205.08288v2 [cs.CL] UPDATED)
Nov. 15, 2022, 2:16 a.m. | Davide Locatelli, Ariadna Quattoni
cs.CL updates on arXiv.org arxiv.org
Prior to deep learning the semantic parsing community has been interested in
understanding and modeling the range of possible word alignments between
natural language sentences and their corresponding meaning representations.
Sequence-to-sequence models changed the research landscape suggesting that we
no longer need to worry about alignments since they can be learned
automatically by means of an attention mechanism. More recently, researchers
have started to question such premise. In this work we investigate whether
seq2seq models can handle both simple and …
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
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
Data Engineer
@ Kaseya | Bengaluru, Karnataka, India