awesome-neural-models-for-semantic-match

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Awesome Neural Models for Semantic Match

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Text matching is a core component in many natural language processing tasks, where many task can be viewed as a matching between two texts input.

Where s and t are source text input and target text input, respectively. The psi and phi are representation function for input s and t, respectively. The f is the interaction function, and g is the aggregation function. More detailed explaination about this formula can be found on A Deep Look into Neural Ranking Models for Information Retrieval. The representative matching tasks are as follows:

Healthcheck

pip3 install -r requirements.txt
python3 healthcheck.py