Add to ORKGGraphical visualizations of coreference chains support a system developer in analyzing the be-havior of a resolution algorithm. In this paper, we state explicit use cases for coreference chain visualizations and show how they can be resolved by transforming chains into other, standardized data formats, namely Topic Maps and Ontolo-gies
AbstractCoreference resolution is the task of determining linguistic expressions that refer to the s...
This work is focused on research in machine learning for coreference resolution. Coreference resolut...
We describe a scaffolding approach to the task of coreference resolution that incrementally combines...
This report presents a graph partitioning approach given a set of constraints to resolve coreference...
In this paper, we describe a coreference solver based on the extensive use of lexical fea-tures and ...
We propose an algorithm for coreference resolution based on analogy with shift-reduce pars-ing. By r...
Extending a machine learning based coref-erence resolution system with a feature capturing automatic...
This thesis entitled A Performance Analysis Framework for Coreference Resolution Algorithms, focuses...
This survey is an extended summarization of state of the art of coreference resolution. The key conc...
Coreference annotated data has the potential to substantially increase the domain over which link an...
Coreference resolution metrics quantify errors but do not analyze them. Here, we consider an automat...
In this paper we present an approach to coref-erence resolution that integrates empirical meth-ods w...
Coreference resolution systems can benefit greatly from inclusion of global con- text, and a number ...
This study examines coreference resolution processes from a semantic-ontological perspective. The st...
Coreference resolution is the task of determining linguistic expressions that refer to the same real...
AbstractCoreference resolution is the task of determining linguistic expressions that refer to the s...
This work is focused on research in machine learning for coreference resolution. Coreference resolut...
We describe a scaffolding approach to the task of coreference resolution that incrementally combines...
This report presents a graph partitioning approach given a set of constraints to resolve coreference...
In this paper, we describe a coreference solver based on the extensive use of lexical fea-tures and ...
We propose an algorithm for coreference resolution based on analogy with shift-reduce pars-ing. By r...
Extending a machine learning based coref-erence resolution system with a feature capturing automatic...
This thesis entitled A Performance Analysis Framework for Coreference Resolution Algorithms, focuses...
This survey is an extended summarization of state of the art of coreference resolution. The key conc...
Coreference annotated data has the potential to substantially increase the domain over which link an...
Coreference resolution metrics quantify errors but do not analyze them. Here, we consider an automat...
In this paper we present an approach to coref-erence resolution that integrates empirical meth-ods w...
Coreference resolution systems can benefit greatly from inclusion of global con- text, and a number ...
This study examines coreference resolution processes from a semantic-ontological perspective. The st...
Coreference resolution is the task of determining linguistic expressions that refer to the same real...
AbstractCoreference resolution is the task of determining linguistic expressions that refer to the s...
This work is focused on research in machine learning for coreference resolution. Coreference resolut...
We describe a scaffolding approach to the task of coreference resolution that incrementally combines...