Разрешение Кореференции Событий

In this study, we measure the contribution of different event components and particular se- mantic relations to the task of event coreference resolution. First we calculate what event times, locations …...

AbstractIn 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 …...

AbstractCompared to entity coreference resolution, there is a relatively small amount of work on event coreference resolution. Much work on event coreference was done for English. In fact, to our …...

AbstractEvent coreference is an important task for full text analysis. However, previous work uses a variety of approaches, sources and evaluation, making the literature confusing and the results incommensurate. We …...

AbstractWe 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 incorporation of …...

Recent work has successfully leveraged the semantic information extracted from lexi- cal knowledge bases such as WordNet and FrameNet to improve English event corefer- ence resolvers. The lack of comparable …...

In this paper we focus on a new problem of event coreference resolution across televi- sion news videos. Based on the observa- tion that the contents from multiple data modalities …...

Building unified timelines from a collection of written news articles requires cross-document event coreference resolution and temporal re- lation extraction. In this paper we present an approach event coreference resolution …...

Events and their coreference offer use- ful semantic and discourse resources. We show that the semantic and dis- course aspects of events interact with each other. However, traditional approaches ad- …...

AbstractMulti-pass sieve approaches have been successfully applied to entity coreference resolution and many other tasks in natural language processing (NLP), owing in part to the ease of designing high-precision rules …...

AbstractEvent coreference resolution is a challenging problem since it relies on several components of the information extraction pipeline that typically yield noisy outputs. We hypothesize that exploiting the inter-dependencies between …...

Verb Phrase Ellipsis (VPE) is an anaphoric construction in which a verb phrase has been elided. It occurs frequently in dialogue and informal conversational settings, but despite its evident impact …...

AbstractWe introduce a novel iterative approach for event coreference resolution that gradually builds event clusters by exploiting inter-dependencies among event mentions within the same chain as well as across event …...

AbstractWe present an approach to event coreference resolution by developing a general framework for clustering that uses supervised representation learning. We propose a neural network architecture with novel Clustering-Oriented Regularization …...

AbstractArgument compatibility is a linguistic condition that is frequently incorporated into modern event coreference resolution systems. If two event mentions have incompatible arguments in any of the argument roles, they …...

AbstractUnderstanding discourse structures of news articles is vital to effectively contextualize the occurrence of a news event. To enable computational modeling of news structures, we apply an existing theory of …...

AbstractWe present two extensions to a state-of-theart joint model for event coreference resolution, which involve incorporating (1) a supervised topic model for improving trigger detection by providing global context, and …...

AbstractEvent coreference resolution aims to classify all event mentions that refer to the same real-world event into the same group, which is necessary to information aggregation and many downstream applications. …...

AbstractEvent coreference resolution is an important research problem with many applications. Despite the recent remarkable success of pre-trained language models, we argue that it is still highly beneficial to utilize …...

AbstractWe study the problem of event coreference resolution (ECR) that seeks to group coreferent event mentions into the same clusters. Deep learning methods have recently been applied for this task …...