SIF_ZH

This is the implement of a sentence embedding algorithm in the paper "A Simple but Tough-to-Beat Baseline for Sentence Embeddings" in Python3 and in Chinese corpus.

Install

$ pip install -r requirements.txt

Get started

To get started, you need:

• A corpus to train word2vec model and get frequency of word.
• A corpus of sentences (here is some question about tea in Chinese).

Then:

• Config the path of data in process_data.py .
• run the process_data.py to get a dict from word to frequency.
• run the main.py to get a similarity task test.

Source code description

• process_data.py provides the function to build the dict from word to frequency for a corpus.
• params.py provides a Class Params to pack the parameters in to a object
• sif_embedding.py provides the function to get the weighted embedding, SIF embedding for sentences and a demo of the similarity task.