Graph-based Syntactic Word Embeddings
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.author | Al-Ghezi, Ragheb | en_US |
| dc.contributor.author | Kurimo, Mikko | en_US |
| dc.contributor.department | Speech Recognition | en_US |
| dc.contributor.department | Dept Signal Process and Acoust | en_US |
| dc.date.accessioned | 2021-02-09T09:07:05Z | |
| dc.date.available | 2021-02-09T09:07:05Z | |
| dc.date.issued | 2020-12-30 | en_US |
| dc.description.abstract | We propose a simple and efficient framework to learn syntactic embeddings based on information derived from constituency parse trees. Using biased random walk methods, our embeddings not only encode syntactic information about words, but they also capture contextual information. We also propose a method to train the embeddings on multiple constituency parse trees to ensure the encoding of global syntactic representation. Quantitative evaluation of the embeddings shows competitive performance on POS tagging task when compared to other types of embeddings, and qualitative evaluation reveals interesting facts about the syntactic typology learned by these embeddings. | en |
| dc.description.version | Peer reviewed | en |
| dc.format.extent | 7 | |
| dc.format.extent | 72–78 | |
| dc.format.mimetype | application/pdf | en_US |
| dc.identifier.citation | Al-Ghezi , R & Kurimo , M 2020 , Graph-based Syntactic Word Embeddings . in Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs) . Association for Computational Linguistics , pp. 72–78 , Workshop on Graph-Based Methods for Natural Language Processing , Barcelona , Spain , 13/12/2020 . < https://www.aclweb.org/anthology/2020.textgraphs-1.8/ > | en |
| dc.identifier.isbn | 978-1-952148-42-2 | |
| dc.identifier.other | PURE UUID: a76488f9-9d1e-43df-9a93-2438af027c8d | en_US |
| dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/a76488f9-9d1e-43df-9a93-2438af027c8d | en_US |
| dc.identifier.other | PURE LINK: https://www.aclweb.org/anthology/2020.textgraphs-1.8/ | en_US |
| dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/55769418/Graph_based_Syntactic_Word_Embeddings.pdf | en_US |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/102662 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202102091962 | |
| dc.language.iso | en | en |
| dc.relation.ispartof | Workshop on Graph-Based Methods for Natural Language Processing | en |
| dc.relation.ispartofseries | Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs) | en |
| dc.rights | openAccess | en |
| dc.title | Graph-based Syntactic Word Embeddings | en |
| dc.type | Conference article in proceedings | fi |
