Text matching models on LCQMC datasets

Requrement

• python 3.6
• tensorflow-gpu 1.12
• gensim 3.8.1
• jieba 0.39
• numpy 1.16
• pandas 0.23

To Do List

Single Model

• DSSM
• ABCNN
• ESIM
• BIMPM
• DIIN
• DRCN
• RE2

Classic Algorithm

• TFIDF
• BM25
• VSM

LM Fintune

• ELMo
• BERT
• ALBERT

Result

Model	accuracy	loss	word/char
DSSM	63.336%	0.64119714	char
ABCNN	79.928%	0.6421789	char
ESIM	81.8%	0.48200694	char
BIMPM
DIIN	84.472%	0.34605518	char + dynamic word
DRCN
RE2