Motivated by the recent successful application of span-based models to entity-based information extraction tasks, we investigate span-based models for event coreference resolution, focusing on determining (1) whether the successes of span-based models of entity coreference can be extended to event coreference; (2) whether exploiting the dependency between event coreference and the related subtask of trigger detection; and (3) whether automatically computed entity coreference information can benefit span-based event coreference resolution. Empirical results on the standard evaluation dataset provide affirmative answers to all three questions
Event coreference resolution is a challenging problem since it relies on several components of the i...
Event Coreference is an important module in the event extraction task, which has been shown to be d...
We address two key challenges in end-to-end event coreference resolution research: (1) the error pro...
We introduce a novel coreference resolution system that models entities and events jointly. Our iter...
Events and their coreference offer use-ful semantic and discourse resources. We show that the semant...
Event coreference is an important task for full text analysis. However, previous work uses a variety...
A simple conceptual model is employed to investigate events, and break the task of coreference resol...
We propose a general approach for performing event coreference and for constructing complex event r...
The task of event coreference resolution plays a critical role in many natural language pro-cessing ...
Event coreference resolution aims to determine and cluster event mentions that refer to the same rea...
Event coreference resolution is an important part in information extraction research and natural lan...
In the task of event coreference resolution, recent work has shown the need to perform not only full...
In past years, there has been substantial work on the problem of entity coreference resolution where...
In past years, there has been substantial work on the problem of entity coreference resolution where...
We present a sequence of unsupervised, nonparametric Bayesian models for clus-tering complex linguis...
Event coreference resolution is a challenging problem since it relies on several components of the i...
Event Coreference is an important module in the event extraction task, which has been shown to be d...
We address two key challenges in end-to-end event coreference resolution research: (1) the error pro...
We introduce a novel coreference resolution system that models entities and events jointly. Our iter...
Events and their coreference offer use-ful semantic and discourse resources. We show that the semant...
Event coreference is an important task for full text analysis. However, previous work uses a variety...
A simple conceptual model is employed to investigate events, and break the task of coreference resol...
We propose a general approach for performing event coreference and for constructing complex event r...
The task of event coreference resolution plays a critical role in many natural language pro-cessing ...
Event coreference resolution aims to determine and cluster event mentions that refer to the same rea...
Event coreference resolution is an important part in information extraction research and natural lan...
In the task of event coreference resolution, recent work has shown the need to perform not only full...
In past years, there has been substantial work on the problem of entity coreference resolution where...
In past years, there has been substantial work on the problem of entity coreference resolution where...
We present a sequence of unsupervised, nonparametric Bayesian models for clus-tering complex linguis...
Event coreference resolution is a challenging problem since it relies on several components of the i...
Event Coreference is an important module in the event extraction task, which has been shown to be d...
We address two key challenges in end-to-end event coreference resolution research: (1) the error pro...