Add to ORKGMachine learning methods have been successfully applied to a number of language technology tasks. The purpose of this report is to investigate the efforts made in applying machine learning methods for handling the phenomena of anaphoric reference and coreference in text
State-of-the-art coreference resolution systems are mostly knowledge-based systems that operate by ...
Abstract This paper describes a study of the impact of coreference resolution on NLP applications. F...
We introduce a modular, hybrid coreference resolution system that extends a rule-based baseline with...
Machine learning methods have been successfully applied to a number of language technology tasks. Th...
Interpreting anaphoric references is a fundamental aspect of our language competence that has long a...
In this paper we present an approach to coref-erence resolution that integrates empirical meth-ods w...
Anaphora resolution is the problem of resolving references of pronouns to antecedents (previously me...
Human speakers generally have no difficulty in determining which noun phrases in a text or dialogue ...
Anaphora resolution is the key task for some of the Natural Language Processing (NLP) tasks like the...
Coreference resolution is the task of finding all expressions that refer to the same entity in a tex...
The paper presents an implemented algorithm to compute anaphora resolution and coreference, relative...
The paper presents an implemented algorithm to compute anaphora resolution and coreference, relative...
The introduction and maintenance of reference in discourse is subject to a number of language-univer...
This thesis focuses on attempting to incorporate linguistically contextual clues into machine learni...
Interpreting anaphoric expressions is one of the most fundamental aspects of lan-guage interpretatio...
State-of-the-art coreference resolution systems are mostly knowledge-based systems that operate by ...
Abstract This paper describes a study of the impact of coreference resolution on NLP applications. F...
We introduce a modular, hybrid coreference resolution system that extends a rule-based baseline with...
Machine learning methods have been successfully applied to a number of language technology tasks. Th...
Interpreting anaphoric references is a fundamental aspect of our language competence that has long a...
In this paper we present an approach to coref-erence resolution that integrates empirical meth-ods w...
Anaphora resolution is the problem of resolving references of pronouns to antecedents (previously me...
Human speakers generally have no difficulty in determining which noun phrases in a text or dialogue ...
Anaphora resolution is the key task for some of the Natural Language Processing (NLP) tasks like the...
Coreference resolution is the task of finding all expressions that refer to the same entity in a tex...
The paper presents an implemented algorithm to compute anaphora resolution and coreference, relative...
The paper presents an implemented algorithm to compute anaphora resolution and coreference, relative...
The introduction and maintenance of reference in discourse is subject to a number of language-univer...
This thesis focuses on attempting to incorporate linguistically contextual clues into machine learni...
Interpreting anaphoric expressions is one of the most fundamental aspects of lan-guage interpretatio...
State-of-the-art coreference resolution systems are mostly knowledge-based systems that operate by ...
Abstract This paper describes a study of the impact of coreference resolution on NLP applications. F...
We introduce a modular, hybrid coreference resolution system that extends a rule-based baseline with...