Global alignment for relation extraction in Microbiology
arXiv:2112.02097v11.2
Originality Incremental advance
AI Analysis
This work addresses relation extraction in microbiology, offering an incremental improvement over existing methods like LSTM.
The authors tackled relation extraction from texts by developing a method using global alignment and syntactic information combined with SVM, achieving performance comparable to or better than LSTM on two relation extraction tasks.
We investigate a method to extract relations from texts based on global alignment and syntactic information. Combined with SVM, this method is shown to have a performance comparable or even better than LSTM on two RE tasks.