FAQ-based Question Answering via Word Alignment

Understand

In this paper, we propose a novel word-alignment-based method to solve the FAQ-based question answering task.

• First, we employ a neural network model to calculate question similarity, where the word alignment between two questions is used for extracting features.
• Second, we design a bootstrap-based feature extraction method to extract a small set of effective lexical features.
• Third, we propose a learning-to-rank algorithm to train parameters more suitable for the ranking tasks.