Learning Term Discrimination

Autor: Jibril Frej, Jean-Pierre Chevallet, Philippe Mulhem, Didier Schwab

Publikováno v: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)
43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Jul 2020, Xi'an, China. pp.1993-1996, ⟨10.1145/3397271.3401211⟩
SIGIR

Document indexing is a key component for efficient information retrieval (IR). After preprocessing steps such as stemming and stop-word removal, document indexes usually store term-frequencies (tf). Along with tf (that only reflects the importance of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6464cbcbb0b79644c59c81a30b016562
https://hal.archives-ouvertes.fr/hal-03024756

ENwikIRS59k

Autor: Jibril Frej

English IR dataset created with WikIR. Queries are built from the first sentence of articles.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6cbbcf52dc25aaafbfcc86a95128f626

ESwikIR13k

Autor: Jibril Frej

Spanish IR dataset created with WikIR.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1557c90f1880625f2ef3d3022aa5c95

FRwikIR14k

Autor: Jibril Frej

French IR dataset created with WikIR.  

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::51589072cc9510ba18049684e7d17c33

ESwikIRS13k

Autor: Jibril Frej

Spanish IR dataset created with WikIR. Queries are built from the first sentence of articles.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ba8910f877b0a6a659f95ffed815ae9d