KFU. Card publication. Attentive neural architecture for ad-hoc structured document retrieval

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

ATTENTIVE NEURAL ARCHITECTURE FOR AD-HOC STRUCTURED DOCUMENT RETRIEVAL

Form of presentation

Articles in international journals and collections

Year of publication

2018

Язык

английский

Authors, employees of KFU

Nikolaev Fedor Aleksandrovich, author

Bibliographic description in the original language

Balaneshinkordan S, Kotov A, Nikolaev F., Attentive neural architecture for ad-hoc structured document retrieval//International Conference on Information and Knowledge Management, Proceedings. - 2018. - Vol., Is.. - P.1173-1182.

Keywords

Deep Neural Networks, Attention, Structured Document Retrieval

The name of the journal

International Conference on Information and Knowledge Management, Proceedings

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058024140&doi=10.1145%2f3269206.3271801&partnerID=40&md5=0644b382e9fac7a6d9dac7b58562564f

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=195673&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Nikolaev Fedor Aleksandrovich	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	Balaneshinkordan S, Kotov A, Nikolaev F., Attentive neural architecture for ad-hoc structured document retrieval//International Conference on Information and Knowledge Management, Proceedings. - 2018. - Vol., Is.. - P.1173-1182.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=195673&p_lang=2	ru_RU
dc.description.abstract	International Conference on Information and Knowledge Management, Proceedings	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Deep Neural Networks	ru_RU
dc.subject	Attention	ru_RU
dc.subject	Structured Document Retrieval	ru_RU
dc.title	Attentive neural architecture for ad-hoc structured document retrieval	ru_RU
dc.type	Articles in international journals and collections	ru_RU