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BAS: An Answer Selection Method Using BERT Language Model
The empirical results of applying the model on the TrecQA Raw, TrecQA Clean, and WikiQA datasets demonstrate that using a robust language model such as BERT can enhance the performance.
Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering
In this research, a model is proposed to select the most relevant answers to the factoid question from the candidate answers.
Structural Weights in Ontology Matching
Then, we propose a new strategy, which enables us to utilize the structural information of ontologies to get weights of matchers, for the similarity aggregation task.
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