Analyzing Coreference and Bridging in Product Reviews

Publication Date: 10/12/2022

Event: CRAC 2022, the Fifth Workshop on Computational Models of Reference, Anaphora and Coreference

Reference: pp. 22-30, 2022

Authors: Hideo Kobayashi, NEC Laboratories America, Inc., University of Texas at Dallas; Christopher Malon, NEC Laboratories America, Inc.

Abstract: Product reviews may have complex discourse including coreference and bridging relations to a main product, competing products, and interacting products. Current approaches to aspect-based sentiment analysis (ABSA) and opinion summarization largely ignore this complexity. On the other hand, existing systems for coreference and bridging were trained in a different domain. We collect mention type annotations relevant to coreference and bridging for 498 product reviews. Using these annotations, we show that a state-of-the-art factuality score fails to catch coreference errors in product reviews, and that a state-of-the-art coreference system trained on OntoNotes does not perform nearly as well on product mentions. As our dataset grows, we expect it to help ABSA and opinion summarization systems to avoid entity reference errors.

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