Paper Info
Title
Constructing a Textual Semantic Relation Corpus Using a Discourse Treebank
Abstract
In this paper, we present our work on constructing a textual semantic relation corpus by making use of an existing treebank annotated with discourse relations. We extract adjacent text span pairs and group them into six categories according to the different discourse relations between them. After that, we present the details of our annotation scheme, which includes six textual semantic relations, backward entailment, forward entailment, equality, contradiction, overlapping, and independent. We also discuss some ambiguous examples to show the difficulty of such annotation task, which cannot be easily done by an automatic mapping between discourse relations and semantic relations. We have two annotators and each of them performs the task twice. The basic statistics on the constructed corpus looks promising: we achieve 81.17% of agreement on the six semantic relation annotation with a .718 kappa score, and it increases to 91.21% if we collapse the last two labels with a .775 kappa score.
Year
Venue
Keywords
2010
LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
natural language processing
Field
DocType
Citations 
Semantic similarity,Logical consequence,Annotation,Computer science,Explicit semantic analysis,Semantic equivalence,Artificial intelligence,Semantic relation,Treebank,Natural language processing,Contradiction
Conference
3
PageRank 
References 
Authors
0.49
7
2
Name
Order
Citations
PageRank
Rui Wang130.82
Caroline Sporleder245331.84