In this paper, we introduce a corpus of consumer reviews from the rateitall and the eopinions websites annotated with opinion-related information. We present a two-level annotatio...
SpatialML is an annotation scheme for marking up references to places in natural language. It covers both named and nominal references to places, grounding them where possible wit...
Inderjeet Mani, Christy Doran, Dave Harris, Janet ...
The Penn Treebank has recently implemented a new syntactic annotation scheme, designed to highlight aspects of predicate-argument structure. This paper discusses the implementatio...
Mitchell P. Marcus, Grace Kim, Mary Ann Marcinkiew...
We present a tool developed for annotating corpora with argument structure representations. The presentation focuses on the architecture of the annotation scheme and a number of t...
Wojciech Skut, Brigitte Krenn, Thorsten Brants, Ha...
We describe an annotation scheme and a tool developed for creating linguistically annotated corpora for non-configurational languages. Since the requirements for such a formalism ...
Wojciech Skut, Brigitte Krenn, Thorsten Brants, Ha...
This paper proposes a formal framework for development and exploitation of a corpus, based on the HPSG linguistic theory. The formal representation of the annotation scheme facili...
This paper describes a three-part annotation scheme for superlatives: The first identifies syntactic classes, since superlatives can serve different semantic purposes. The second ...
This paper presents EASY, which has been the first campaign evaluating syntactic parsers on all the common syntactic phenomena and a large set of dependency relations. During this...
Patrick Paroubek, Isabelle Robba, Anne Vilnat, Chr...
SpatialML is an annotation scheme for marking up references to places in natural language. It covers both named and nominal references to places, grounding them where possible wit...
This paper presents an annotation scheme for marking subjective content in meetings, specifically the opinions and sentiments that participants express as part of their discussion...