Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing

23 Jan 2019Joohong LeeSangwoo SeoYong Suk Choi

Classifying semantic relations between entity pairs in sentences is an important task in Natural Language Processing (NLP). Most previous models for relation classification rely on the high-level lexical and syntactic features obtained by NLP tools such as WordNet, dependency parser, part-of-speech (POS) tagger, and named entity recognizers (NER)... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Relation Extraction SemEval-2010 Task 8 Entity Attention Bi-LSTM F1 85.2 # 4