abhi1nandy2/EMNLP-2021-Findings
This repo has the code for the paper "Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework" accepted at EMNLP 2021 Findings.
This project helps customer support teams and technical writers efficiently answer user questions about electronic devices. It takes user queries and comprehensive electronic device manuals (like user guides or specifications) as input, then identifies the most relevant section and the precise answer within that manual. This is designed for anyone needing to quickly extract specific information from complex product documentation.
No commits in the last 6 months.
Use this if you need to build a robust system for automatically answering questions related to electronic device manuals or similar structured technical documentation.
Not ideal if your primary goal is general-purpose question answering over open-domain text or if your documents are not technical manuals.
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HTML
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Apache-2.0
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Last pushed
Oct 13, 2024
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