Book chapter
Natural Language Generation through Case-Based Text Modification
Case-Based Reasoning Research and Development, pp 443-457
2012
Abstract
Natural Language Generation (NLG) is one of the longstanding problems in Artificial Intelligence. In this paper, we focus on a subproblem in NLG, namely surface realization through text modification: given a source sentence and a desired change, produce a grammatically correct and semantically coherent sentence that implements the desired change. Text modification has many applications within text generation like interactive narrative systems, where stories tailored to specific users are generated by adapting or instantiating a pre-authored story. We present a case-based approach where cases correspond to pairs of sentences implementing specific modifications. We describe our retrieval, adaptation and revise procedures. The main contribution of this paper is an approach to perform case-adaptation in textual domains.
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4 citations in Scopus
Details
- Title
- Natural Language Generation through Case-Based Text Modification
- Creators
- Josep Valls - Computer Science Department, Drexel University, Philadelphia, USASantiago Ontañón - Drexel University
- Publication Details
- Case-Based Reasoning Research and Development, pp 443-457
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Scopus ID
- 2-s2.0-84866666407
- Other Identifier
- 991021869113304721