In this article, we describe a new class of unsupervised, nonparametric Bayesian models with the purpose of probabilistically inferring coreference clusters of ...
Cosmin Bejan and Sanda Harabagiu. 2010. Unsupervised Event Coreference Resolution with Rich Linguistic Features. In Proceedings of the 48th Annual Meeting of ...
The main idea for solving event coreference is to identify the event mentions (from the same or different documents) that share the same characteristics (e.g., ...
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In this article, we describe a new class of unsupervised, nonparametric Bayesian models with the purpose of probabilistically inferring coreference clusters of ...
We present a sequence of unsupervised, nonparametric Bayesian models for clustering complex linguistic objects.
A new class of unsupervised, nonparametric Bayesian models with the purpose of probabilistically inferring coreference clusters of event mentions from a ...
This paper examines how a new class of nonparametric Bayesian models can be effectively applied to an open-domain event coreference task.
This paper examines how a new class of nonparametric Bayesian models can be ef- fectively applied to an open-domain event coreference task.
In this paper, we focus on event coreference resolution, though adaptations for event identity resolu- tion can be easily made. We evaluated the models on ...
This paper examines how a new class of nonparametric Bayesian models can be effectively applied to an open-domain event coreference task.