Sep 16, 2020 · In this paper, we propose a new task called multihop question generation that asks complex and semantically relevant questions by additionally ...
Sep 16, 2020 · This paper proposes a new task called multihop question generation that asks complex and semantically relevant questions by additionally ...
In this paper, we propose a new task called multihop question generation that asks complex and semantically relevant questions by additionally discovering and ...
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Multi-hop NQG. This repository contains code and models for the paper: Asking Complex Questions with Multi-hop Answer-focused Reasoning · Model Framework. Data ...
Jan 12, 2021 · We propose a simple and efficient multi-hop dense retrieval approach for answering complex open-domain questions, which achieves state-of-the-art performance.
Abstract. Multi-hop QA requires the machine to answer complex questions through finding multiple clues and reasoning, and provide explanatory evidence to ...
Missing: Asking focused
Sep 7, 2023 · In essence, MHQA requires multiple “hops” of information retrieval and inference to connect the dots and arrive at a comprehensive response.
Multi-hop question answering requires models to gather information from differ- ent parts of a text to answer a question. Most current approaches learn to ...
Multi-hop question answering (MHQA) is a significant area in question answering, requiring multiple reasoning components, including document retrieval.
May 31, 2024 · MHQA is the task of answering natural language questions that involve extracting and combining multiple pieces of information and doing multiple steps of ...