Event Coreference

This paper examines how a new class of nonparametric Bayesian models can be ef- fectively applied to an open-domain event coreference task. Designed with the pur- pose of clustering complex …...

This paper addresses the task of construct- ing a timeline of events mentioned in a given text. To accomplish that, we present a novel representation of the temporal structure of …...

In this paper, we give an overview of our participation in the timeline generation task of SemEval-2015 (task 4, TimeLine: Cross- Document Event Ordering). The main goals of this new …...

This paper describes the outcomes of the TimeLine task (Cross-Document Event Order- ing), that was organised within the Time and Space track of SemEval-2015. Given a set of documents and …...

In this paper, we present a new method to obtain large volumes of high-quality text corpora with event data for studying identity and reference relations. We report on the current …...

AbstractEvents in text documents are interrelated in complex ways. In this paper, we study two types of relation: Event Coreference and Event Sequencing. We show that the popular tree-like decoding …...

AbstractTemporal common sense (e.g., duration and frequency of events) is crucial for understanding natural language. However, its acquisition is challenging, partly because such information is often not expressed explicitly in …...

AbstractPerforming event and entity coreference resolution across documents vastly increases the number of candidate mentions, making it intractable to do the full n2 pairwise comparisons. Existing approaches simplify by considering …...

AbstractRelating entities and events in text is a key component of natural language understanding. Cross-document coreference resolution, in particular, is important for the growing interest in multi-document analysis tasks. In …...

AbstractThe task of Cross-document Coreference Resolution has been traditionally formulated as requiring to identify all coreference links across a given set of documents. We propose an appealing, and often more …...

AbstractWe present an event structure classification empirically derived from inferential properties annotated on sentence- and document-level Universal Decompositional Semantics (UDS) graphs. We induce this classification jointly with semantic role, entity, …...

AbstractNatural Language Processing tasks such as resolving the coreference of events require understanding the relations between two text snippets. These tasks are typically formulated as (binary) classification problems over independently …...