all AI news
Can Humans Identify Domains?
April 3, 2024, 4:46 a.m. | Maria Barrett, Max M\"uller-Eberstein, Elisa Bassignana, Amalie Brogaard Pauli, Mike Zhang, Rob van der Goot
cs.CL updates on arXiv.org arxiv.org
Abstract: Textual domain is a crucial property within the Natural Language Processing (NLP) community due to its effects on downstream model performance. The concept itself is, however, loosely defined and, in practice, refers to any non-typological property, such as genre, topic, medium or style of a document. We investigate the core notion of domains via human proficiency in identifying related intrinsic textual properties, specifically the concepts of genre (communicative purpose) and topic (subject matter). We publish …
abstract arxiv community concept core cs.cl document domain domains effects however humans identify language language processing medium natural natural language natural language processing nlp notion performance practice processing property style textual type
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
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
C003549 Data Analyst (NS) - MON 13 May
@ EMW, Inc. | Braine-l'Alleud, Wallonia, Belgium
Marketing Decision Scientist
@ Meta | Menlo Park, CA | New York City