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Abstract
Given a pair of sentences, we present computational models to assess if one sentence is simpler to read than the other. While existing models explored the usage of phrase structure features using a non-incremental parser, experimental evidence suggests that the human language processor works incrementally.
We empirically evaluate if syntactic features from an incremental CCG
parser are more useful than features from a non-incremental phrase structure parser. Our evaluation on Simple and Standard Wikipedia sentence pairs suggests that incremental CCG features are indeed more useful than phrase structure features achieving 0.44 points gain in performance. Incremental
CCG parser also gives significant improvements in speed (12 times faster) in comparison to the phrase structure parser. Furthermore, with the addition of psycholinguistic features, we achieve the strongest result to date reported
on this task. Our code and data can be downloaded from https://github.
com/bharatambati/sent-compl.
We empirically evaluate if syntactic features from an incremental CCG
parser are more useful than features from a non-incremental phrase structure parser. Our evaluation on Simple and Standard Wikipedia sentence pairs suggests that incremental CCG features are indeed more useful than phrase structure features achieving 0.44 points gain in performance. Incremental
CCG parser also gives significant improvements in speed (12 times faster) in comparison to the phrase structure parser. Furthermore, with the addition of psycholinguistic features, we achieve the strongest result to date reported
on this task. Our code and data can be downloaded from https://github.
com/bharatambati/sent-compl.
Original language | English |
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Title of host publication | Proceedings of NAACL-HLT 2016 |
Publisher | Association for Computational Linguistics |
Pages | 1051-1057 |
Number of pages | 7 |
ISBN (Print) | 978-1-941643-91-4 |
Publication status | Published - 2016 |
Event | 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - San Diego, United States Duration: 12 Jun 2016 → 17 Jun 2016 http://naacl.org/naacl-hlt-2016/ http://naacl.org/naacl-hlt-2016/ |
Conference
Conference | 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
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Abbreviated title | NAACL HLT 2016 |
Country/Territory | United States |
City | San Diego |
Period | 12/06/16 → 17/06/16 |
Internet address |
Fingerprint
Dive into the research topics of 'Assessing Relative Sentence Complexity using an Incremental CCG Parser'. Together they form a unique fingerprint.Projects
- 2 Finished
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Xperience - 'Robotes Bootstrapped through Learning from Experience'
Steedman, M., Geib, C. & Petrick, R.
1/01/10 → 31/12/15
Project: Research