A Question-Entailment Approach To Question Answering
A Question-Entailment Approach To Question Answering. This paper presents a question answering (qa) system that would help aircraft pilots access information in this documentation by naturally interacting with the system and asking questions in natural language. This research will introduce a solution to these problems by automating the process of generating qualified answers to these questions and creating a kind of digital doctor.
Statistical nlp (winter 2017) 43 1 2 3 5 4 question processing search answer scoring answer extraction dumais,banko,brill,lin,ng, sigir (2002) step 1: Despite the availability of numerous sources and datasets for answer retrieval, question answering (qa) remains a challenging problem due to the difficulty. Bridging the gap between consumers’ medication questions and trusted answers.
Question Answering Textual Entailment Cs 295:
Textual entailment of two text fragments can be defined as the task of deciding whether the meaning of one text fragment can be inferred from another text fragment. On the summarization of consumer health questions. Each faq is attached to multiple answers, and each answer has multiple sentences.
Lau, Soumya Gayen, Asma Ben Abacha & Dina Demner.
Asma ben abacha, yassine mrabet, mark sharp, travis goodwin, sonya e. Comparison of ir approach for retrieving answers to natural language questions to the qa approach based on reading comprehension. In this paper, we propose a new approach for the detection of similar questions based on recognizing question entailment (rqe).
Question Entailment And Question Answering.
Textual entailment is a framework that captures significant semantic inference. The entailment module reveals the possibility of the entailment between the retrieved sentences that are highly likely to contain the answer phrase and the question and rank the sentences accordingly. One such approach for the question answering system is textual entailment.
Despite The Availability Of Numerous Sources And Datasets For Answer Retrieval, Question Answering (Qa) Remains A Challenging Problem Due To The Difficulty.
Bridging the gap between consumers’ medication questions and trusted answers. 3.2 rte for answer validation in terms of the approach to rte previously described, the answer validation task can be attacked as follows: This research will introduce a solution to these problems by automating the process of generating qualified answers to these questions and creating a kind of digital doctor.
Ben Abacha A, Hasan Sa, Datls W, Liu J,.
Despite the availability of numerous sources and datasets for answer retrieval, question answering (qa) remains a challenging problem due to the difficulty of the question understanding and answer extraction. Entailment and anaphora resolution in rte3. Our approach uses ir models to retrieve question candidates and the rqe model to identify entailed questions and return their answers.
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