Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/18013
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Title: | SEMONTOQA: A Semantic Understanding-Based Ontological Framework for Factoid Question Answering |
Authors: | Hoque, Moinul Quaresma, Paulo |
Issue Date: | 2015 |
Publisher: | ACM |
Abstract: | This paper presents an outline of an Ontological and Se-
mantic understanding-based model (SEMONTOQA) for an
open-domain factoid Question Answering (QA) system. The
outlined model analyses unstructured English natural lan-
guage texts to a vast extent and represents the inherent con-
tents in an ontological manner. The model locates and ex-
tracts useful information from the text for various question
types and builds a semantically rich knowledge-base that
is capable of answering different categories of factoid ques-
tions. The system model converts the unstructured texts
into a minimalistic, labelled, directed graph that we call a
Syntactic Sentence Graph (SSG). An Automatic Text In-
terpreter using a set of pre-learnt Text Interpretation Sub-
graphs and patterns tries to understand the contents of the
SSG in a semantic way. The system proposes a new fea-
ture and action based Cognitive Entity-Relationship Net-
work designed to extend the text understanding process to
an in-depth level. Application of supervised learning allows
the system to gradually grow its capability to understand
the text in a more fruitful manner. The system incorpo-
rates an effective Text Inference Engine which takes the re-
sponsibility of inferring the text contents and isolating enti-
ties, their features, actions, objects, associated contexts and
other properties, required for answering questions. A similar
understanding-based question processing module interprets
the user’s need in a semantic way. An Ontological Mapping
Module, with the help of a set of pre-defined strategies de-
signed for different classes of questions, is able to perform
a mapping between a question’s ontology with the set of
ontologies stored in the background knowledge-base. Em-
pirical verification is performed to show the usability of the
proposed model. The results achieved show that, this model
can be used effectively as a semantic understanding based
alternative QA system. |
URI: | http://doi.acm.org/10.1145/2824864.2824886 http://hdl.handle.net/10174/18013 |
Type: | article |
Appears in Collections: | INF - Artigos em Livros de Actas/Proceedings
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