Exploratory Navigation and Selective Reading
Author(s) -
Natwar Modani,
Paridhi Maheshwari,
Harsh Deshpande,
Saurab Sirpurkar,
Diviya,
Somak Aditya
Publication year - 2020
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v34i09.7103
Subject(s) - computer science , hierarchy , task (project management) , variety (cybernetics) , reading (process) , representation (politics) , human–computer interaction , interface (matter) , information retrieval , world wide web , artificial intelligence , natural language processing , linguistics , philosophy , management , bubble , maximum bubble pressure method , politics , parallel computing , economics , political science , law , market economy
Navigating a collection of documents can be facilitated by obtaining a human-understandable concept hierarchy with links to the content. This is a non-trivial task for two reasons. First, defining concepts that are understandable by an average consumer and yet meaningful for a large variety of corpora is hard. Second, creating semantically meaningful yet intuitive hierarchical representation is hard, and can be task dependent. We present out system Navigation.ai which automatically processes a document collection, induces a concept hierarchy using Wikipedia and presents an interactive interface that helps user navigate to individual paragraphs using concepts.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom