Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction

HLT-NAACL, pp. 1374-1379, 2015.

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Abstract:

Compositional embedding models build a representation for a linguistic structure based on its component word embeddings. While recent work has combined these word embeddings with hand crafted features for improved performance, it was restricted to a small number of features due to model complexity, thus limiting its applicability. We prop...More

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