Global alignment for relation extraction in Microbiology
arXiv:2112.02097v1
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.