公开(公告)号：US20240126791A1

公开(公告)日：2024-04-18

申请号：US18470657

申请日：2023-09-20

申请人： Tata Consultancy Services Limited

发明人： ANUMITA DASGUPTABANDYOPADHYAY ,  PRABIR MALLICK ,  TAPAS NAYAK ,  INDRAJIT BHATTACHARYA ,  SANGAMESHWAR SURYAKANT PATIL

IPC分类号： G06F16/31 ,  G06F16/332

CPC分类号： G06F16/31 ,  G06F16/3329

摘要： This disclosure relates generally to long-form answer extraction and, more particularly, to long-form answer extraction based on combination of sentence index generation techniques. Existing answer extractions techniques have achieved significant progress for extractive short answers; however, less progress has been made for long form questions that require explanations. Further the state-of-art long-answer extractions techniques result in poorer long-form answers or not address sparsity which becomes an issue longer contexts. Additionally, pre-trained generative sequence-to-sequence models are gaining popularity for factoid answer extraction tasks. Hence the disclosure proposes a long-form answer extraction based on several steps including training a set of generative sequence-to-sequence models comprising a sentence indices generation model and a sentence index spans generation. The trained set of generative sequence-to-sequence models is further utilized for model long-form answer extraction based on a union of several sentence index generation techniques comprising a sentence indices and a sentence index spans.