Multigraph Clustering for Unsupervised Coreference Resolution

A Multigraph Model for Coreference Resolution

A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution

We present a novel hierarchical distance-dependent Bayesian model for event coreference resolution. While existing generative models for event coreference resolution are completely unsupervised, our model allows for the …

Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution

We present a sequence of unsupervised, nonparametric Bayesian models for clustering complex linguistic objects. In this approach, we consider a potentially infinite number of features and categorical outcomes. We evalua…

Unsupervised Ranking Model for Entity Coreference Resolution

Coreference resolution is one of the first stages in deep language understanding and its importance has been well recognized in the natural language processing community. In this paper, we propose a generative, unsupervi…

Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering

Coreference resolution aims to identify in a text all mentions that refer to the same real-world entity. The state-of-the-art end-to-end neural coreference model considers all text spans in a document as potential mentio…