2024-03-28T11:18:08Z
https://b2share.eudat.eu/api/oai2d
oai:b2share.eudat.eu:b2rec/09ff375c4fbc42e0bcda6750a7f1c05b
2019-02-01T11:51:48Z
0afede87-2bf2-4d89-867e-d2ee57251c62
Bart Jongejan
2019-02-01T11:51:48.012848+00:00
Linguistic and algebraic expressions can be analysed with similar pattern matching (PM) methods, suggesting a trove of useful methods for Natural Language Processing (NLP).
For example, detection of the rhetoric device of parallelism is beyond the expressive power of pattern matching facilities of tools and programming languages commonly used in NLP.
This poster shows how we can use a programming language for symbolic computation, Bracmat, for this task.
http://hdl.handle.net/11304/0484c6eb-5eac-4187-b9c4-fc619f17d782
10.23728/b2share.09ff375c4fbc42e0bcda6750a7f1c05b
https://b2share.eudat.eu/api/records/09ff375c4fbc42e0bcda6750a7f1c05b
oai:b2share.eudat.eu:b2rec/09ff375c4fbc42e0bcda6750a7f1c05b
info:eu-repo/semantics/openAccess
Creative Commons Attribution (CC-BY)
Pattern matching
CLIN26-Bracmat-poster.pdf