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Automatic Generation of Natural Language Explanations
- Source :
- Da Costa, F S, Ouyang, S, Dolog, P & Lawlor, A 2018, Automatic Generation of Natural Language Explanations . in Proceedings of the 23rd International Conference on Intelligent User Interfaces ., 57, Association for Computing Machinery, International Conference on Intelligent User Interfaces, Tokyo, Japan, 07/03/2018 . https://doi.org/10.1145/3180308.3180366, IUI Companion
- Publication Year :
- 2018
- Publisher :
- Association for Computing Machinery, 2018.
-
Abstract
- An important task for recommender system is to generate explanations according to a user's preferences. Most of the current methods for explainable recommendations use structured sentences to provide descriptions along with the recommendations they produce. However, those methods have neglected the review-oriented way of writing a text, even though it is known that these reviews have a strong influence over user's decision. In this paper, we propose a method for the automatic generation of natural language explanations, for predicting how a user would write about an item, based on user ratings from different items' features. We design a character-level recurrent neural network (RNN) model, which generates an item's review explanations using long-short term memories (LSTM). The model generates text reviews given a combination of the review and ratings score that express opinions about different factors or aspects of an item. Our network is trained on a sub-sample from the large real-world dataset BeerAdvocate. Our empirical evaluation using natural language processing metrics shows the generated text's quality is close to a real user written review, identifying negation, misspellings, and domain specific vocabulary.<br />Comment: 7 pages, 5 figures, 2nd workshop on Deep Learning for Recommender Systems
- Subjects :
- FOS: Computer and information sciences
Vocabulary
Exploit
Computer science
media_common.quotation_subject
02 engineering and technology
Recommender system
computer.software_genre
Machine Learning (cs.LG)
Negation
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Recommender systems
media_common
Computer Science - Computation and Language
Information retrieval
Interpretation (logic)
Explanations
business.industry
Natural language generation
Explainability
Neural network
Computer Science - Learning
020201 artificial intelligence & image processing
Memory model
Artificial intelligence
business
computer
Computation and Language (cs.CL)
Natural language
Natural language processing
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Da Costa, F S, Ouyang, S, Dolog, P & Lawlor, A 2018, Automatic Generation of Natural Language Explanations . in Proceedings of the 23rd International Conference on Intelligent User Interfaces ., 57, Association for Computing Machinery, International Conference on Intelligent User Interfaces, Tokyo, Japan, 07/03/2018 . https://doi.org/10.1145/3180308.3180366, IUI Companion
- Accession number :
- edsair.doi.dedup.....b886d69e266e3aeb22da1797a427604c