Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing 2021
DOI: 10.18653/v1/2021.emnlp-main.106
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Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference

Abstract: Performing event and entity coreference resolution across documents vastly increases the number of candidate mentions, making it intractable to do the full n 2 pairwise comparisons. Existing approaches simplify by considering coreference only within document clusters, but this fails to handle inter-cluster coreference, common in many applications. As a result cross-document coreference algorithms are rarely applied to downstream tasks. We draw on an insight from discourse coherence theory: potential coreferenc… Show more

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Cited by 3 publications
(7 citation statements)
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“…First, it is a simple model following the standard approach presented in Figure 1. Later approaches rely on hierarchical representations (Yadav et al, 2021a) or discourse coherence theory (Held et al, 2021). Second, it is based on RoBERTa and is more efficient and less memory consuming than the succeeding CDLM model (Caciularu et al, 2021) that is based on the much larger Longformer model (Beltagy et al, 2020).…”
Section: Modelsmentioning
confidence: 99%
See 3 more Smart Citations
“…First, it is a simple model following the standard approach presented in Figure 1. Later approaches rely on hierarchical representations (Yadav et al, 2021a) or discourse coherence theory (Held et al, 2021). Second, it is based on RoBERTa and is more efficient and less memory consuming than the succeeding CDLM model (Caciularu et al, 2021) that is based on the much larger Longformer model (Beltagy et al, 2020).…”
Section: Modelsmentioning
confidence: 99%
“…More recently, Yadav et al (2021a) built on Cattan et al (2021a) by proposing a hierarchical approach to representing uncertainty of clustering event and entity mentions. The state-of-the-art models for cross document coreference are Caciularu et al (2021), which models cross-text relationships by using larger context windows, and Held et al (2021), which applies discourse coherence theory to coreference.…”
Section: Modelsmentioning
confidence: 99%
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“…Recently, Khosla et al (2021) use rhetorical structure theory (RST) (Mann and Thompson, 1988) to capture the hierarchical discourse structure of documents, from which they encode three distance features for the candidate and query mentions on different levels (i.e., word-level, discourse-unit-level and discourse subtree). Held et al (2021) apply discourse coherence (Grosz, 1977(Grosz, , 1978Grosz and Sidner, 1986) to cross-document coreference resolution. They retrieve candidate mentions by modeling the attentional state within a latent embedding space as a set of nearest neighbors for a query mention.…”
Section: Related Workmentioning
confidence: 99%