3 papers
cs.IR2019
Named Entity Recognition Only from Word Embeddings
Ying Luo, Hai Zhao, Junlang Zhan
Deep neural network models have helped named entity (NE) recognition achieve amazing performance without handcrafting features. However, existing systems require large amounts of h…
cs.CL2019
Chemical Names Standardization using Neural Sequence to Sequence Model
Junlang Zhan, Hai Zhao
Chemical information extraction is to convert chemical knowledge in text into true chemical database, which is a text processing task heavily relying on chemical compound name iden…
cs.CL2019
Span Model for Open Information Extraction on Accurate Corpus
Junlang Zhan, Hai Zhao
Open information extraction (Open IE) is a challenging task especially due to its brittle data basis. Most of Open IE systems have to be trained on automatically built corpus and e…