Paper Info
Title
Annotating Relation Mentions in Tabloid Press.
Abstract
This paper presents a new resource for the training and evaluation needed by relation extraction experiments. The corpus consists of annotations of mentions for three semantic relations: marriage, parent-child, siblings, selected from the domain of biographic facts about persons and their social relationships. The corpus contains more than one hundred news articles from Tabloid Press. In the current corpus, we only consider the relation mentions occurring in the individual sentences. We provide multi-level annotations which specify the marked facts from relation, argument, entity, down to the token level, thus allowing for detailed analysis of linguistic phenomena and their interactions. A generic markup tool Recon developed at the DFKI LT lab has been utilised for the annotation task. The corpus has been annotated by two human experts, supported by additional conflict resolution conducted by a third expert. As shown in the evaluation, the annotation is of high quality as proved by the stated inter-annotator agreements both on sentence level and on relation-mention level. The current corpus is already in active use in our research for evaluation of the relation extraction performance of our automatically learned extraction patterns.
Year
Venue
Keywords
2014
LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Corpus Annotation,Relation Extraction,Semantic Relations,People Domain,Tabloid Press
Field
DocType
Citations 
Social relationship,Annotation,Information retrieval,Computer science,Conflict resolution,Artificial intelligence,Natural language processing,Security token,Sentence,Markup language,Relationship extraction
Conference
2
PageRank 
References 
Authors
0.39
5
6
Name
Order
Citations
PageRank
Hong Li116211.19
Sebastian Krause2282.94
Feiyu Xu345048.79
Hans Uszkoreit41010164.57
Robert Hummel520241.35
Veselina Mironova621.07