Many recent experiments in the automatic classification of discourse relations have limited themselves to a small set of coarse categories. While there are eminent reasons to do so – annotation for a small sets of categories can be created more reliably, and possibly also be defined in a more clear – cut way than finer distinctions – it is an interesting question whether the finer-grained distinctions present in some annotated corpora can be reconstructed reliably. The present paper investigates the feasibility of such fine-grained tagging of discourse relations using data from the Penn Discourse Treebank.
We report on an effort to add annotation for discourse relations, discourse structure, and topic seg...
Cross-linguistic studies of discourse markers often face various methodological problems regarding t...
We present a classification model that predicts the presence or omission of a lexical connec-tive be...
The Penn Discourse Treebank (PDTB) was released to the public in 2008. It remains the largest manual...
We present a corpus study of local discourse relations based on the Penn Discourse Tree Bank, a larg...
An important aspect of discourse understanding and generation involves the recognition and processin...
International audienceDiscourse relation classification has proven to be a hard task, with rather lo...
Discourse parsing is a challenging task and plays a critical role in discourse anal-ysis. In this pa...
Discourse connectives are lexical items indicating coherence relations between discourse segments. E...
Discourse connectives (e.g. however, because) are terms that explicitly express discourse rela-tions...
In discourse relation annotation, there is currently a variety of different frameworks being used, a...
Proceedings of the Workshop on Annotation and Exploitation of Parallel Corpora AEPC 2010. Editors:...
In this thesis, we aim to analyze the computational aspects of discourse annotation. Discourse is no...
The various meanings of discourse connectives like while and however are difficult to identify and a...
This report contains the guidelines for the annotation of discourse relations in the Penn Discourse ...
We report on an effort to add annotation for discourse relations, discourse structure, and topic seg...
Cross-linguistic studies of discourse markers often face various methodological problems regarding t...
We present a classification model that predicts the presence or omission of a lexical connec-tive be...
The Penn Discourse Treebank (PDTB) was released to the public in 2008. It remains the largest manual...
We present a corpus study of local discourse relations based on the Penn Discourse Tree Bank, a larg...
An important aspect of discourse understanding and generation involves the recognition and processin...
International audienceDiscourse relation classification has proven to be a hard task, with rather lo...
Discourse parsing is a challenging task and plays a critical role in discourse anal-ysis. In this pa...
Discourse connectives are lexical items indicating coherence relations between discourse segments. E...
Discourse connectives (e.g. however, because) are terms that explicitly express discourse rela-tions...
In discourse relation annotation, there is currently a variety of different frameworks being used, a...
Proceedings of the Workshop on Annotation and Exploitation of Parallel Corpora AEPC 2010. Editors:...
In this thesis, we aim to analyze the computational aspects of discourse annotation. Discourse is no...
The various meanings of discourse connectives like while and however are difficult to identify and a...
This report contains the guidelines for the annotation of discourse relations in the Penn Discourse ...
We report on an effort to add annotation for discourse relations, discourse structure, and topic seg...
Cross-linguistic studies of discourse markers often face various methodological problems regarding t...
We present a classification model that predicts the presence or omission of a lexical connec-tive be...