TY - GEN
T1 - A comparison of event representations in DEFT
AU - Bies, Ann
AU - Song, Zhiyi
AU - Getman, Jeremy
AU - Ellis, Joe
AU - Mott, Justin
AU - Strassel, Stephanie
AU - Palmer, Martha
AU - Mitamura, Teruko
AU - Freedman, Marjorie
AU - Ji, Heng
AU - O'Gorman, Tim
N1 - This material is based on research sponsored by Air Force Research Laboratory and Defense Advanced Research Projects Agency under agreement number FA8750-13-2-0045. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclu- sions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Air Force Research Laboratory and Defense Advanced Research Projects Agency or the U.S. Government.
PY - 2016
Y1 - 2016
N2 - This paper will discuss and compare event representations across a variety of types of event annotation: Rich Entities, Relations, and Events (Rich ERE), Light Entities, Relations, and Events (Light ERE), Event Nugget (EN), Event Argument Extraction (EAE), Richer Event Descriptions (RED), and Event-Event Relations (EER). Comparisons of event representations are presented, along with a comparison of data annotated according to each event representation. An event annotation experiment is also discussed, including annotation for all of these representations on the same set of sample data, with the purpose of being able to compare actual annotation across all of these approaches as directly as possible. We walk through a brief example to illustrate the various annotation approaches, and to show the intersections among the various annotated data sets.
AB - This paper will discuss and compare event representations across a variety of types of event annotation: Rich Entities, Relations, and Events (Rich ERE), Light Entities, Relations, and Events (Light ERE), Event Nugget (EN), Event Argument Extraction (EAE), Richer Event Descriptions (RED), and Event-Event Relations (EER). Comparisons of event representations are presented, along with a comparison of data annotated according to each event representation. An event annotation experiment is also discussed, including annotation for all of these representations on the same set of sample data, with the purpose of being able to compare actual annotation across all of these approaches as directly as possible. We walk through a brief example to illustrate the various annotation approaches, and to show the intersections among the various annotated data sets.
UR - https://www.scopus.com/pages/publications/85048356506
UR - https://www.scopus.com/pages/publications/85048356506#tab=citedBy
U2 - 10.18653/v1/W16-1004
DO - 10.18653/v1/W16-1004
M3 - Conference contribution
AN - SCOPUS:85048356506
T3 - Proceedings of the 4th Workshop on Events: Definition, Detection, Coreference, and Representation, EVENTS 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016
SP - 27
EP - 36
BT - Proceedings of the 4th Workshop on Events
A2 - Palmer, Martha
A2 - Hovy, Eduard
A2 - Mitamura, Teruko
A2 - O�Gorman, Tim
PB - Association for Computational Linguistics (ACL)
T2 - 4th Workshop on Events: Definition, Detection, Coreference, and Representation, EVENTS 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016
Y2 - 17 June 2016
ER -