Representing syntactic-semantic knowledge from English texts

Document Type

Conference Proceeding

Publication Date

1-1-2014

Abstract

We present a unified representational framework LSeN (Language to Semantic Network) for representing syntactic-semantic knowledge extracted from natural language (e.g. English) texts. Our representation is a variant of the standard semantic networks with some important distinctive features that facilitate bridging the interface between syntactic and semantic knowledge using automatic computational tools. We show the basic constructs in our representation and briefly describe the developed tool for automatically building the knowledge structure in LSeN from parsed English sentences. Our representational framework and the associated tool establish a good platform for further studies in automatic knowledge extraction from texts.

Publication Source (Journal or Book title)

Proceedings of the 2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014

First Page

237

Last Page

243

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