We describe the re-annotation of selected types of named entities (persons, organizations, locations) from the MUC7 corpus. The focus of this annotation initiative is on recording...
Corpus-based dialogue systems rely on statistical models, whose parameters are inferred from annotated dialogues. The dialogues are usually annotated using Dialogue Acts (DA), and...
tions arise for standoff annotation when the annotation is not on the source text itself, but on a more abstract representation. This is particularly the case in a language such a...
Manual text annotation is a resource-consuming endeavor necessary for NLP systems when they target new tasks or domains for which there are no existing annotated corpora. Distribu...
Emilia Apostolova, Sean Neilan, Gary An, Noriko To...
The annotation of causal relations in natural language texts can lead to a low inter-annotator agreement. A French corpus annotated with causal relations would be helpful for the ...
We present a semi-supervised machine-learning approach for the classification of adjectives into property- vs. relationdenoting adjectives, a distinction that is highly relevant f...
In this paper, we present ISO-TimeML, a revised and interoperable version of the temporal markup language, TimeML. We describe the changes and enrichments made, while framing the ...
James Pustejovsky, Kiyong Lee, Harry Bunt, Laurent...
The aim of this paper is twofold. We focus, on the one hand, on the task of dynamically annotating English compound nouns, and on the other hand we propose disambiguation methods ...
Discourse phenomena play a major role in text processing tasks. However, so far relatively little study has been devoted to the relevance of discourse phenomena for inference. The...
Azad Abad, Luisa Bentivogli, Ido Dagan, Danilo Gia...
In recent years we have resgitered a renewed interest in event detection and temporal processing of text/discourse. TimeML (Pustejovsky et al., 2003a) has shed new lights on the n...