Coreference Chains Categorization by Sequence Clustering
The diversity of coreference chains is usually tackled by means of global features (length, types and number of referring expressions, distance between them, etc.). In this paper, we propose a novel approach that provides a description of their composition in terms of sequences of expressions. To this end, we apply sequence analysis techniques to bring out the various strategies for introducing a referent and keeping it active throughout discourse. We discuss a first application of this method to a French written corpus annotated with coreference chains. We obtain clusters that are linguistically coherent and interpretable in terms of reference strategies and we demonstrate the influence of text genre and semantic type of the referent on chain composition.
Code (0)
등록된 구현이 없습니다.
Tasks
ClusteringDiversitySimilar Papers 제목 키워드 기반
Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization
We 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-Oriente…
Clusteringcoreference-resolutionCoreference ResolutionEvent Coreference Resolution+1Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events
We 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 chains. Am…
Clusteringcoreference-resolutionCoreference ResolutionEvent Coreference ResolutionWithin-Document Event Coreference with BERT-Based Contextualized Representations
Event coreference continues to be a challenging problem in information extraction. With the absence of any external knowledge bases for events, coreference becomes a clustering task that relies on effective representatio…
ClusteringImproving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures
This paper proposes a novel approach for event coreference resolution that models correlations between event coreference chains and document topical structures through an Integer Linear Programming formulation. We explic…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionQuestion AnsweringAny Other Thoughts, Hedgehog? Linking Deliberation Chains in Collaborative Dialogues
Question-asking in collaborative dialogue has long been established as key to knowledge construction, both in internal and collaborative problem solving. In this work, we examine probing questions in collaborative dialog…