A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
Community question answering aims at choosing the most appropriate answer for a given question, which is important in many NLP applications. Previous neural network-based methods consider several different aspects of information through calculating attentions. These different kinds of attentions are always simply summed up and can be seen as a "single view", causing severe information loss. To overcome this problem, we propose a Multi-View Fusion Neural Network, where each attention componentdoi:10.1609/aaai.v32i1.11989 fatcat:2ydfses6mjbkxfmdjk46fb6hgm