# Bilateral Multi-Perspective Matching for Natural Language Sentences

@inproceedings{Wang2017BilateralMM,
title={Bilateral Multi-Perspective Matching for Natural Language Sentences},
author={Z. Wang and W. Hamza and Radu Florian},
booktitle={IJCAI},
year={2017}
}
• Published in IJCAI 2017
• Computer Science
• Natural language sentence matching is a fundamental technology for a variety of tasks. [...] Key Method Given two sentences $P$ and $Q$, our model first encodes them with a BiLSTM encoder. Next, we match the two encoded sentences in two directions $P \rightarrow Q$ and $P \leftarrow Q$. In each matching direction, each time step of one sentence is matched against all time-steps of the other sentence from multiple perspectives.Expand Abstract