Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Adjective semantics in open knowledge extraction

Conference Paper
Publication Date:
2016
abstract:
Adjectives carry a lot of discourse semantics, often being the core elements to understand the literal, emotional, cultural, and metaphoric meaning of a sentence. Their formal semantics has been investigated specially in lexical semantics and formal linguistics, with some contributions from formal ontology and the semantic web. However, no standard formal treatment of adjectives is available yet, which is capable to address the concerns of both theoretical and computational natural language understanding. In this paper we summarize the existing approaches, present some alternative solutions to approximate a rigorous but pragmatic representation, and describe an implementation of a lightweight adjective ontology as a core resource in FRED, a state-of-the-art open knowledge extraction tool.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
adjective semantics; formal ontology; knowledge extraction
List of contributors:
REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Gangemi, Aldo; Presutti, Valentina; Nuzzolese, ANDREA GIOVANNI
Authors of the University:
GANGEMI ALDO
NUZZOLESE ANDREA GIOVANNI
Handle:
https://iris.cnr.it/handle/20.500.14243/331712
Book title:
Formal Ontology in Information Systems
  • Overview

Overview

URL

http://www.scopus.com/record/display.url?eid=2-s2.0-84978531738&origin=inward
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)