all AI news
Policy Compliance Detection via Expression Tree Inference. (arXiv:2205.12259v1 [cs.CL])
May 25, 2022, 1:12 a.m. | Neema Kotonya, Andreas Vlachos, Majid Yazdani, Lambert Mathias, Marzieh Saeidi
cs.CL updates on arXiv.org arxiv.org
Policy Compliance Detection (PCD) is a task we encounter when reasoning over
texts, e.g. legal frameworks. Previous work to address PCD relies heavily on
modeling the task as a special case of Recognizing Textual Entailment.
Entailment is applicable to the problem of PCD, however viewing the policy as a
single proposition, as opposed to multiple interlinked propositions, yields
poor performance and lacks explainability. To address this challenge, more
recent proposals for PCD have argued for decomposing policies into expression
trees …
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Lead Software Engineer - Artificial Intelligence, LLM
@ OpenText | Hyderabad, TG, IN
Lead Software Engineer- Python Data Engineer
@ JPMorgan Chase & Co. | GLASGOW, LANARKSHIRE, United Kingdom
Data Analyst (m/w/d)
@ Collaboration Betters The World | Berlin, Germany
Data Engineer, Quality Assurance
@ Informa Group Plc. | Boulder, CO, United States
Director, Data Science - Marketing
@ Dropbox | Remote - Canada