Learning to Parse on Aligned Corpora (Rough Diamond)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F15%3A00235216" target="_blank" >RIV/68407700:21730/15:00235216 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-319-22102-1_15" target="_blank" >https://doi.org/10.1007/978-3-319-22102-1_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-22102-1_15" target="_blank" >10.1007/978-3-319-22102-1_15</a>
Alternative languages
Result language
angličtina
Original language name
Learning to Parse on Aligned Corpora (Rough Diamond)
Original language description
In this work we start to address this problem by developing approximate probabilistic parsing techniques that autonomously train disambiguation on large corpora. Unlike in standard natural language processing, we can filter the resulting parse trees by strong ITP and AR semantic methods such as typechecking and automated theorem proving, and even let the probabilistic methods self-improve based on such semantic feedback. We describe the general motivation and our first experiments, and build an online system for parsing ambiguous formulas over the Flyspeck library.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Interactive Theorem Proving
ISBN
978-3-319-22101-4
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
7
Pages from-to
227-233
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Nanjing
Event date
Aug 24, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000469263800015