Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection
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Updated
Dec 3, 2017 - HCL
Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection
Selection-based Question Answering
This repository contains code used for our Multi Sentence Inference NAACL'22 paper.
Character Embedding + ESIM + Focal Loss for Chinese Answer Sentence Selection
a pytorch implementation of answer-selection using convolutional encoder for setence representation.
[EMNLP 2022 (Long, Findings)] CERBERUS: Multi-head Student Model to distill knowledge in ensemble of teacher models
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