PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction. (arXiv:2110.07415v2 [cs.CL] UPDATED)

Web: http://arxiv.org/abs/2110.07415

Neural models for distantly supervised relation extraction (DS-RE) encode
each sentence in an entity-pair bag separately. These are then aggregated for
bag-level relation prediction. Since, at encoding time, these approaches do not
allow information to flow from other sentences in the bag, we believe that they
do not utilize the available bag data to the fullest. In response, we explore a
simple baseline approach (PARE) in which all sentences of a bag are
concatenated into a passage of sentences, and …

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