BM25 iyo Kediska Soo Celinta Lexical

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Maxay BM25 ugu horayn u isticmaashaa darajaynta dukumentiyada?
   • Isku-xidhka semantic cufan
   • Inta jeer ee muddada, soo noqnoqoshada dukumeentiga rogan, iyo dhererka dukumeentiga
   • Taariikhda daabacaada dukumeenti kasta
   • Isticmaalaha tariikhda guji-mar kaliya
2. Doorkee ayuu ka ciyaaraa inta jeer ee dukumeenti ka soo horjeeda (IDF) ee BM25?
   • Waxay xoojisaa ereyada aadka loo isticmaalo sida 'the'
   • Waxay cabbirtaa inta dukumeenti kastaa yahay
   • Waxay siinaysaa naadir, ereyo kala duwan oo miisaan sare leh
   • Waxa ay tirisaa tirada guud ee dukumeentiyada kaliya
3. Waa maxay sababta BM25 ay u dabaqdo ka-yeelaynta dhererka dukumeentiga (beegyada b)?
   • Markaa dukumentiyada dhaadheer aan si xaq-darro ah loogu jeclayn inay ka kooban yihiin erayo badan
   • In dukumeenti kasta laga dhigo dherer isku mid ah
   • Si loo tirtiro dukumentiyada gaaban
   • Si loo turjumo dukumentiyada luqadda caadiga ah
4. Tilmaamaha ugu muhiimsan ee maaraynta muddada-soo noqnoqda ee BM25 waa:
   • Si toos ah ayey u kordhisaa mar kasta oo ku celis ah
   • Waxay iska indha tirtaa inta jeer ee gebi ahaanba
   • Waxay labanlaabtaa dhibcaha kelmed kasta oo soo noqnoqda
   • Saturates, sidaas darteed soo noqnoqoshada dheeraadka ah waxay ku darayaan muhiimadda sii yaraanaysa
5. Qaab dhismeedka xogta ee BM25 ka dhigaya mid si degdeg ah miisaanka?
   • Erayada khariidaynta tusmaynta rogan ee waraaqaha ay ku jiraan
   • Shabakad neerfaha ah
   • Hal hab oo la kala soocay oo qoraalka oo dhan ah
   • Xogta garaaf ee xigashooyinka
6. Nidaamyada raadinta casriga ah, BM25 waxaa badanaa loo isticmaalaa:
   • Beddel dhammaan moodooyinka neerfaha gabi ahaanba
   • U adeegso sooceliye heer-koowaad oo degdeg ah ka hor beddelka neural-ka, ama lagu darey buundooyin cufan
   • Samee dukumeenti-cusub
   • Siri tusmada raadinta
7. In the standard BM25 formula, what effect does setting b to zero have?
   • It removes all inverse-document-frequency weights
   • It makes every matching term contribute zero
   • It changes the index from lexical terms to dense vectors
   • It disables document-length normalization in the term-frequency denominator
8. When BM25 is used to mine DPR training negatives, what makes a retrieved nonanswer passage a hard negative?
   • It has no words in common with any document
   • It is automatically the positive passage because its lexical score is high
   • It looks relevant through term overlap but does not support the question's answer
   • It contains no readable text and is never retrieved