Neural Architectures for Open-Type Relation Argument Extraction

no code implementations • 5 Mar 2018 • Benjamin Roth, Costanza Conforti, Nina Poerner, Sanjeev Karn, Hinrich Schütze

In this work, we introduce the task of Open-Type Relation Argument Extraction (ORAE): Given a corpus, a query entity Q and a knowledge base relation (e. g.,"Q authored notable work with title X"), the model has to extract an argument of non-standard entity type (entities that cannot be extracted by a standard named entity tagger, e. g. X: the title of a book or a work of art) from the corpus.

Question Answering Relation +2

End-to-End Trainable Attentive Decoder for Hierarchical Entity Classification

no code implementations • EACL 2017 • Sanjeev Karn, Ulli Waltinger, Hinrich Sch{\"u}tze

We address fine-grained entity classification and propose a novel attention-based recurrent neural network (RNN) encoder-decoder that generates paths in the type hierarchy and can be trained end-to-end.

Classification General Classification +1