In the task of event coreference resolution, recent work has shown the need to perform not only full coreference but also partial coreference of events. We show that subevents can form a particular hierarchical event structure. This paper examines a novel two-stage approach to finding and improving subevent structures. First, we introduce a multiclass logistic regression model that can detect subevent relations in addition to full coreference. Second, we propose a method to improve subevent structure based on subevent clusters detected by the model. Using a corpus in the Intelligence Community domain, we show that the method achieves over 3.2 BLANC F1 gain in detecting subevent relations against the logistic regression model
Understanding events entails recognizing the structural and temporal orders between event mentions t...
In this paper we describe a method to detect event descriptions in different news articles and to mo...
In past years, there has been substantial work on the problem of entity coreference resolution where...
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...
Motivated by the recent successful application of span-based models to entity-based information extr...
A simple conceptual model is employed to investigate events, and break the task of coreference resol...
Events and their coreference offer use-ful semantic and discourse resources. We show that the semant...
This paper proposes an evaluation scheme to measure the performance of a system that detects hierarc...
We introduce a novel coreference resolution system that models entities and events jointly. Our iter...
Event coreference is an important task for full text analysis. However, previous work uses a variety...
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 resolution is an important part in information extraction research and natural lan...
Event Coreference is an important module in the event extraction task, which has been shown to be d...
Understanding events entails recognizing the structural and temporal orders between event mentions t...
In this paper we describe a method to detect event descriptions in different news articles and to mo...
In past years, there has been substantial work on the problem of entity coreference resolution where...
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...
Motivated by the recent successful application of span-based models to entity-based information extr...
A simple conceptual model is employed to investigate events, and break the task of coreference resol...
Events and their coreference offer use-ful semantic and discourse resources. We show that the semant...
This paper proposes an evaluation scheme to measure the performance of a system that detects hierarc...
We introduce a novel coreference resolution system that models entities and events jointly. Our iter...
Event coreference is an important task for full text analysis. However, previous work uses a variety...
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 resolution is an important part in information extraction research and natural lan...
Event Coreference is an important module in the event extraction task, which has been shown to be d...
Understanding events entails recognizing the structural and temporal orders between event mentions t...
In this paper we describe a method to detect event descriptions in different news articles and to mo...
In past years, there has been substantial work on the problem of entity coreference resolution where...