Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Buuxinta Slot iyo Kediska ogaanshaha Ujeedada

Tijaabi shaqada ku jihaysan NLU: sumadaha ujeedka, boosaska teebaysan, calaamadaynta taxanaha, moodooyinka wadajirka ah, bartilmaameedyada, iyo macnaha wada hadalka-rogadka badan.

Wadooyinka haga ee la xidhiidhaBuuxinta Slot Iyo Ogaanshaha Ujeedada
Su'aal 1 ee 8

Waa maxay faraqa u dhexeeya ogaanshaha ujeedada iyo buuxinta booska?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa maxay faraqa u dhexeeya ogaanshaha ujeedada iyo buuxinta booska?
    • Ujeedadu waxay heshaa yoolka guud; boosaska soo saartaa qiimayaal faahfaahsan oo gaar ah
    • Waa laba magac oo isku shaqo ah
    • Ujeedadu waxay soo saartaa qiyamka; boosaska kala saara yoolka
    • Slots waxay gacanta ku hayaan maqalka iyo ujeedada qoraalka
  2. Ku qabso duulimaadka Boston kuna socda Denver, waa maxay ujeedadu?
    • Boston
    • buug_duulim
    • Denver
    • meesha loo socdo
  3. Waa maxay sababta buuxinta booska inta badan loogu qaabeeyey sida isku xigxiga loogu calaamadiyay summada BIO?
    • Si loo tiriyo tirada erayada
    • Si aad marka hore u turjunto jumlada
    • Si aad u qabsato qiyamka Afyare-ereyada badan si sax ah
    • Si loo ogaado dareenka afhayeenka
  4. Maxay hababka casriga ahi u tababaraan ogaanshaha niyadda iyo buuxinta booska si wadajir ah?
    • Sharci ayaa u baahan
    • Tababarka wadajirka ah ayaa isticmaala koronto yar
    • Afyare si kale looma xisaabin karo
    • Hawlaha si adag ayaa loo lamaaniyaa waxayna wadaagaan calaamad waxtar leh
  5. Doorkee ayaa lakabka CRF ka ciyaari karaa dusha sare ee calaamadaha booska?
    • Waxay fulisaa taxanaha summada saxda ah ee u dhexeeya calaamadaha
    • Waxay ogaataa summada ujeeddada
    • Waxay turjumaysaa odhaahda
    • Waxay cadaadisaa cabbirka qaabka
  6. How can a large language model produce an intent-and-slot result?
    • By eliminating user input
    • By generating structured output such as schema-constrained JSON, with validation still required
    • By using only single-word commands
    • By removing the concepts of intent and slot
  7. What domain does the ATIS benchmark focus on?
    • Music source separation
    • Sawirka rinjiyeynta
    • Airline travel information and flight requests
    • Robot navigation
  8. In a multi-turn dialogue, why might a slot-filling system need prior turns?
    • Earlier turns remove the need to identify an intent
    • Slot values can only appear in the first sentence
    • Prior context changes the tokenizer vocabulary
    • A follow-up may omit a value type that earlier context supplies