ScholarGate
Msaidizi
Process / pipeline

Kujibu Maswali (QA)

Kujibu maswali ni kazi ya uchakataji lugha asilia ambayo hujibu kiotomatiki maswali ya lugha asilia yaliyofafanuliwa katika kifungu cha muktadha kilichotolewa, kwa kutumia mbinu za kunakili au kutoa. Kazi hii ilifafanuliwa na kigezo cha SQuAD cha Rajpurkar et al. (2016), na baadaye mifumo kama XLNet (Yang et al., 2019) iliongeza usahihi wa kuelewa kusoma.

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Soma mbinu kamili

Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. Rajpurkar, P. et al. (2016). SQuAD: 100,000+ Questions for Machine Comprehension of Text. EMNLP. DOI: 10.18653/v1/D16-1264
  2. Yang, Z. et al. (2019). XLNet: Generalized Autoregressive Pretraining for Language Understanding. NeurIPS. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Question Answering (QA). ScholarGate. https://scholargate.app/sw/text-mining/question-answering

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Imerejelewa na

ScholarGateQuestion Answering (Question Answering (QA)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/text-mining/question-answering · Seti ya data: https://doi.org/10.5281/zenodo.20539026