Text Classification
For purpose of word embedding extrinsic evaluation, especially downstream task.
Some concepts are informed from 复旦大学NLP组
Statistical-Based Method
Logistic Regression
Statistics perspective based text classification described as follow[Li Y 2015].
Also described as follow[kiros 2015].
[Yan Song 2018] also applied this kind of method.
Linear SVM
It described as follow[Kiela 2015]
Bibliography
复旦大学NLP组. NLP-Beginner. https://github.com/FudanNLP/nlp-beginner
[Li Y. 2015] Li Y, Li W, Sun F, et al. Component-Enhanced Chinese Character Embeddings[J]. empirical methods in natural language processing, 2015: 829-834.
[Kiros 2015] Kiros, Ryan, et al. "Skip-Thought Vectors." Advances in Neural Information Processing Systems 28(2015).
[Yan Song 2018] Song, Yan et al. “Joint Learning Embeddings for Chinese Words and their Components via Ladder Structured Networks.” IJCAI (2018).
[Kiela 2015] Kiela, Douwe et al. “Specializing Word Embeddings for Similarity or Relatedness.” EMNLP (2015).