文件名称：DARep:跨域词表示学习
文件大小：32.24MB
文件格式：ZIP
更新时间：2024-06-24 05:42:16
Python
DARep 该包实现了以下论文中提出的无监督跨域词表示学习方法。 @inproceedings{Bollegala:ACL:2015, Author = {Danushka Bollegala and Takanori Maehara and Ken-ichi Kawarabayashi}, Booktitle = {Proc. of the Annual Conference of the Association for Computational Linguistics (ACL) and the International Joint > Conferences on Natural Language Processing (IJCNLP)}, Title = {Unsupervised Cross-Domain Word Representation Learning}, Y
【文件预览】：
DARep-master
----src()
--------sent.py(15KB)
--------stopWords.txt(794B)
--------reps.cc(10KB)
--------wordreps.py(19KB)
--------README.txt(402B)
--------Makefile(316B)
--------parse_args.hh(566B)
--------learn-reps.py(9KB)
--------preprocess.py(20KB)
--------eigen.zip(2.3MB)
----README.md(692B)
----data()
--------test-data()
--------train-data()