rgtjf/Semantic-Texual-Similarity-Toolkits
Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.
PythonMIT
Issues
- 1
features_embedding
#1 opened by rgtjf - 0
consume much memory when extract features
#9 opened by rgtjf - 0
- 0
Embed deep learning models into Features
#11 opened by rgtjf - 0
- 0
[feature] update classifier
#17 opened by rgtjf - 1
code error
#16 opened by zhangzhenhu - 2
utils.py word2index is time-consuming
#13 opened by rgtjf - 1
alignment features BUG
#12 opened by rgtjf - 2
It seems that make_feature_file didn't write #instances, #dimension to feature file
#8 opened by linus-young - 2
IDFCalculator needs nltk module
#4 opened by linus-young - 1
Error importing config from stst
#7 opened by FTAsr - 1
features_ngram
#2 opened by rgtjf - 1
corenlp.py
#3 opened by rgtjf - 8
stst gets all zero similarity outputs
#6 opened by iarroyof - 17