Жауаптарды шығару

Anticipating the availability of large question- answer datasets, we propose a principled, data- driven Instance-Based approach to Question An- swering. Most question answering systems incor- porate three major steps: classify …...

In this paper, we explore correlation of dependency relation paths to rank candi- date answers in answer extraction. Using the correlation measure, we compare de- pendency relations of a candidate …...

Shallow semantic parsing, the automatic identification and labeling of sentential con- stituents, has recently received much atten- tion. Our work examines whether seman- tic role information is beneficial to question …...

This paper proposes a framework for automat- ically engineering features for two important tasks of question answering: answer sentence selection and answer extraction. We represent question and answer sentence pairs …...

AbstractAnswer sentence ranking and answer extraction are two key challenges in question answering that have traditionally been treated in isolation, i.e., as independent tasks. In this article, we (1) explain …...

AbstractRecent work on training neural retrievers for open-domain question answering (OpenQA) has employed both supervised and unsupervised approaches. However, it remains unclear how unsupervised and supervised methods can be used …...

AbstractThe rapid development of conversational assistants accelerates the study on conversational question answering (QA). However, the existing conversational QA systems usually answer users’ questions with a single knowledge source, e.g., …...