MindNet: an automatically-created lexical resource

Authors:
Lucy Vanderwende;Gary Kacmarcik;Hisami Suzuki;Arul Menezes
Affiliations:
Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA
Venue:
HLT-Demo '05 Proceedings of HLT/EMNLP on Interactive Demonstrations
Year:
2005

Citing 3
Cited 7

Determining similarity and inferring relations in a lexical knowledge base

Determining similarity and inferring relations in a lexical knowledge base
MindNet: acquiring and structuring semantic information from text

COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
The Berkeley FrameNet Project

COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1

Text Categorization with Semantic Commonsense Knowledge: First Results

Neural Information Processing
PAPEL: A Dictionary-Based Lexical Ontology for Portuguese

PROPOR '08 Proceedings of the 8th international conference on Computational Processing of the Portuguese Language
Gautama --- Ontology Editor Based on Nyaya Logic

ICLA '09 Proceedings of the 3rd Indian Conference on Logic and Its Applications
Web search results clusterization with background knowledge

HSI'09 Proceedings of the 2nd conference on Human System Interactions
Using common sense to generate culturally contextualized machine translation

YIWCALA '10 Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas
The quantum of language: a metaphorical view of mind dimension

ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
Folheador: browsing through Portuguese semantic relations

EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

We will demonstrate MindNet, a lexical resource built automatically by processing text. We will present two forms of MindNet: as a static lexical resource, and, as a toolkit which allows MindNets to be built from arbitrary text. We will also introduce a web-based interface to MindNet lexicons (MNEX) that is intended to make the data contained within MindNets more accessible for exploration. Both English and Japanese MindNets will be shown and will be made available, through MNEX, for research purposes.