Automatic Generation of Natural Language Explanations

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Title: Automatic Generation of Natural Language Explanations
Authors: Costa, FelipeOuyang, SixunDolog, PeterLawlor, Aonghus
Permanent link: http://hdl.handle.net/10197/10860
Date: 11-Mar-2018
Online since: 2019-07-08T10:30:53Z
Abstract: An interesting challenge for explainable recommender systems is to provide successful interpretation of recommendations using structured sentences. It is well known that user-generated reviews, have strong influence on the users’ decision. Recent techniques exploit user reviews to generate natural language explanations. In this paper, we propose a character-level attention-enhanced long short-term memory model to generate natural language explanations. We empirically evaluated this network using two real-world review datasets. The generated text present readable and similar to a real user’s writing, due to the ability of reproducing negation, misspellings, and domain-specific vocabulary.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: ACM
Copyright (published version): 2018 ACM
Keywords: Recommender systemsNatural Language GenerationExplainabilityExplanationsNeural Network
DOI: 10.1145/3180308.3180366
Other versions: http://iui.acm.org/2018/
Language: en
Status of Item: Peer reviewed
Is part of: IUI '18 Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion
Conference Details: ACM IUI '18: 23rd International Conference on Intelligent User Interfaces Companion, Tokyo, Japan, 7-11 March 2018
Appears in Collections:Insight Research Collection
Insight Research Collection

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