@inproceedings{tateisi-etal-2016-typed,
title = "Typed Entity and Relation Annotation on Computer Science Papers",
author = "Tateisi, Yuka and
Ohta, Tomoko and
Pyysalo, Sampo and
Miyao, Yusuke and
Aizawa, Akiko",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1607",
pages = "3836--3843",
abstract = "We describe our ongoing effort to establish an annotation scheme for describing the semantic structures of research articles in the computer science domain, with the intended use of developing search systems that can refine their results by the roles of the entities denoted by the query keys. In our scheme, mentions of entities are annotated with ontology-based types, and the roles of the entities are annotated as relations with other entities described in the text. So far, we have annotated 400 abstracts from the ACL anthology and the ACM digital library. In this paper, the scheme and the annotated dataset are described, along with the problems found in the course of annotation. We also show the results of automatic annotation and evaluate the corpus in a practical setting in application to topic extraction.",
}
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%0 Conference Proceedings
%T Typed Entity and Relation Annotation on Computer Science Papers
%A Tateisi, Yuka
%A Ohta, Tomoko
%A Pyysalo, Sampo
%A Miyao, Yusuke
%A Aizawa, Akiko
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F tateisi-etal-2016-typed
%X We describe our ongoing effort to establish an annotation scheme for describing the semantic structures of research articles in the computer science domain, with the intended use of developing search systems that can refine their results by the roles of the entities denoted by the query keys. In our scheme, mentions of entities are annotated with ontology-based types, and the roles of the entities are annotated as relations with other entities described in the text. So far, we have annotated 400 abstracts from the ACL anthology and the ACM digital library. In this paper, the scheme and the annotated dataset are described, along with the problems found in the course of annotation. We also show the results of automatic annotation and evaluate the corpus in a practical setting in application to topic extraction.
%U https://aclanthology.org/L16-1607
%P 3836-3843
Markdown (Informal)
[Typed Entity and Relation Annotation on Computer Science Papers](https://aclanthology.org/L16-1607) (Tateisi et al., LREC 2016)
ACL
- Yuka Tateisi, Tomoko Ohta, Sampo Pyysalo, Yusuke Miyao, and Akiko Aizawa. 2016. Typed Entity and Relation Annotation on Computer Science Papers. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3836–3843, Portorož, Slovenia. European Language Resources Association (ELRA).