This paper introduces PyDCI, a new implementation of Distributional Correspondence Indexing (DCI) written in Python. DCI is a transfer learning method for cross-domain and cross-lingual text classification for which we had provided an implementation (here called JaDCI) built on top of JaTeCS, a Java framework for text classification... (read more)
PDFTASK | DATASET | MODEL | METRIC NAME | METRIC VALUE | GLOBAL RANK | COMPARE |
---|---|---|---|---|---|---|
Sentiment Analysis | Multi-Domain Sentiment Dataset | Distributional Correspondence Indexing | DVD | 81.00 | # 1 | |
Sentiment Analysis | Multi-Domain Sentiment Dataset | Distributional Correspondence Indexing | Books | 81.4 | # 1 | |
Sentiment Analysis | Multi-Domain Sentiment Dataset | Distributional Correspondence Indexing | Electronics | 85,06 | # 5 | |
Sentiment Analysis | Multi-Domain Sentiment Dataset | Distributional Correspondence Indexing | Kitchen | 85.9 | # 1 | |
Sentiment Analysis | Multi-Domain Sentiment Dataset | Distributional Correspondence Indexing | Average | 83.30 | # 1 |