A math-aware search engine for math question answering system
We propose a math-aware search engine that is capable of handling both textual keywords as well as mathematical expressions. Our math feature extraction and representation framework captures the semantics of math expressions via a Finite State Machine model. We adapt the passive aggressive onli...
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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/97960 http://hdl.handle.net/10220/12277 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | We propose a math-aware search engine that is capable of
handling both textual keywords as well as mathematical expressions.
Our math feature extraction and representation
framework captures the semantics of math expressions via a
Finite State Machine model. We adapt the passive aggressive
online learning binary classifier as the ranking model.
We benchmarked our approach against three classical information
retrieval (IR) strategies on math documents crawled
from Math Over ow, a well-known online math question answering
system. Experimental results show that our proposed
approach can perform better than other methods by
more than 9%. |
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