Imperial College London
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ProfessorAlessandraRusso

Faculty of Engineering, Department of Computing

Professor in Applied Computational Logic
 
 
 
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Contact

 

+44 (0)20 7594 8312a.russo Website

 
 
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Location

 

560Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Wu:2018:10.4230/OASIcs.ICLP.2018.12,
author = {Wu, B and Russo, A and Law, M and Inoue, K},
doi = {10.4230/OASIcs.ICLP.2018.12},
title = {Learning commonsense knowledge through interactive dialogue},
url = {http://dx.doi.org/10.4230/OASIcs.ICLP.2018.12},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - One of the most difficult problems in Artificial Intelligence is related to acquiring commonsense knowledge - to create a collection of facts and information that an ordinary person should know. In this work, we present a system that, from a limited background knowledge, is able to learn to form simple concepts through interactive dialogue with a user. We approach the problem using a syntactic parser, along with a mechanism to check for synonymy, to translate sentences into logical formulas represented in Event Calculus using Answer Set Programming (ASP). Reasoning and learning tasks are then automatically generated for the translated text, with learning being initiated through question and answering. The system is capable of learning with no contextual knowledge prior to the dialogue. The system has been evaluated on stories inspired by the Facebook's bAbI's question-answering tasks, and through appropriate question and answering is able to respond accurately to these dialogues.
AU  - Wu,B
AU  - Russo,A
AU  - Law,M
AU  - Inoue,K
DO  - 10.4230/OASIcs.ICLP.2018.12
PY  - 2018///
SN  - 2190-6807
TI  - Learning commonsense knowledge through interactive dialogue
UR  - http://dx.doi.org/10.4230/OASIcs.ICLP.2018.12
ER  -
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