key-word-labeling

Key word labeling for sequence(paragraph) using BRNN.
The model is a stacking bidirectional lstm, and word embeddings are used as network inputs.
Data is form CorpusAndCrowdsourcingAnnotations of 500N-KPCrowd-v1.1(https://github.com/snkim/AutomaticKeyphraseExtraction):
@InProceedings{Marujo:LREC2012,
Author = {Luis Marujo and Anatole Gershman and Jaime Carbonell and Robert Frederking and Jo~{a}o P. Neto},
Booktitle = {Proceedings of LREC 2012},
Title = {Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization},
location = {Istanbul, Turkey},
publisher = {ELRA},
Year = {2012}
}