A Theme-Rewriting Approach for Generating Algebra Word Problems
| Autor: | Hannaneh Hajishirzi, Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer |
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| Rok vydání: | 2016 |
| Předmět: |
FOS: Computer and information sciences
060201 languages & linguistics Computer Science - Computation and Language Process (engineering) business.industry Computer science 06 humanities and the arts 02 engineering and technology computer.software_genre Linguistics 0602 languages and literature 0202 electrical engineering electronic engineering information engineering Text generation Thematic coherence 020201 artificial intelligence & image processing Narrative Artificial intelligence Rewriting Algebra over a field business Computation and Language (cs.CL) computer Natural language processing Theme (narrative) |
| Zdroj: | EMNLP |
| DOI: | 10.18653/v1/d16-1168 |
| Popis: | Texts present coherent stories that have a particular theme or overall setting, for example science fiction or western. In this paper, we present a text generation method called {\it rewriting} that edits existing human-authored narratives to change their theme without changing the underlying story. We apply the approach to math word problems, where it might help students stay more engaged by quickly transforming all of their homework assignments to the theme of their favorite movie without changing the math concepts that are being taught. Our rewriting method uses a two-stage decoding process, which proposes new words from the target theme and scores the resulting stories according to a number of factors defining aspects of syntactic, semantic, and thematic coherence. Experiments demonstrate that the final stories typically represent the new theme well while still testing the original math concepts, outperforming a number of baselines. We also release a new dataset of human-authored rewrites of math word problems in several themes. To appear EMNLP 2016 |
| Databáze: | OpenAIRE |
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