A Theme-Rewriting Approach for Generating Algebra Word Problems
33558Authors
nan
Abstract
Texts present coherent stories that have a par- ticular theme or overall setting, for example science fiction or western. In this paper, we present a text generation method called rewrit- ing that edits existing human-authored narra- tives 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 trans- forming all of their homework assignments to the theme of their favorite movie with- out changing the math concepts that are be- ing taught. Our rewriting method uses a two- stage decoding process, which proposes new words from the target theme and scores the re- sulting stories according to a number of fac- tors defining aspects of syntactic, semantic, and thematic coherence. Experiments demon- strate that the final stories typically represent the new theme well while still testing the orig- inal math concepts, outperforming a number of baselines. We also release a new dataset of human-authored rewrites of math word prob- lems in several themes. 1
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Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1617–1628, Austin, Texas, November 1-5, 2016. c⃝2016 Association for Computational Linguistics A Theme-Rewriting Approach for Generating Algebra Word Problems Rik Koncel-Kedziorski Ioannis Konstas Luke Zettlemoyer Hannaneh Hajishirzi University of Washington kedzior@uw.edu, {ikonstas, lsz, hannaneh}@cs.washington.edu Abstract Texts present coherent stories that have a par- ticular theme or overall setting, for example science fiction or western. In this paper, we present a text generation method called rewrit- ing that edits existing human-authored narra- tives 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 trans- forming all of their homework assignments to the theme of their favorite movie with- out changing the math concepts that are be- ing taught. Our rewriting method uses a two- stage decoding process, which proposes new words from the target theme and scores the re- sulting stories according to a number of fac- tors defining aspects of syntactic, semantic, and thematic coherence. Experiments demon- strate that the final stories typically represent the new theme well while still testing the orig- inal math concepts, outperforming a number of baselines. We also release a new dataset of human-authored rewrites of math word prob- lems in several themes. 1 Introduction Storytelling is the complex activity of expressing a plot, its events and participants in words meaning- ful to an audience. Automatic storytelling systems can be used for customized sport commentaries, en- riching video games with personalized or dynamic plot-lines (Barros and Musse, 2007), or providing customized learning materials which meet each indi- vidual student’s needs and interests (Bartlett, 2004). In this paper, we focus on generating narrative-style Jim walked 0.2 of a mile from school to David’s house and 0.7 of a mile from David’s house to his own house. How many miles did Jim walk in all? Star Wars Uncle Owen walked 0.2 of a mile from hangar to Luke Skywalker’s room and 0.7 of a mile from Luke Sky- walker’s room to his own room. How many miles did Uncle Owen walk in all? Cartoon Finn squished 0.2 of a mile from cupboard to Melissa’s dock and 0.7 of a mile from Melissa’s dock to his own dock. How many miles did Finn squish in all? Western Duane strolled 0.2 of a mile from barn to Madeline’s camp and 0.7 of a mile from Madeline’s camp to his own camp. How many miles did Duane stroll in all? Figure 1: An example story and rewrites in 3 themes. math word problems (Figure 1) and demonstrate that it is possible to design an algorithm that can auto- matically change the overall theme of a text without changing its underlying story, for example to create more engaging homework that is in the theme of a student’s favorite movie. A math word problem is a coherent story that provides the student with good clues to the cor- rect mathematical operations between …
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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 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 twostage 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. 1
Publication Details
- Paper ID:
- 33558
- Year:
- 2016
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan