| Title |
Experiments in Detection of Implicit Citations |
| Authors |
Ahmed AbuRa'ed, Luis Chiruzzo, Horacio Saggion |
| Abstract |
The identification of explicit and implicit references to a given paper is important for a number of scientific text mining activities such as citation purpose identification, scientific opinion mining, and scientific summarization. This paper presents experiments on the identification of implicit citations in scientific papers. As in previous work, and relying on an annotated dataset of explicit and implicit citation sentences, we cast the problem as classification, evaluating several machine learning algorithms trained on a set of task-motivated features. We compare our work with the state of the art on the annotated dataset obtaining improved performance. We also annotate a new dataset which we make publicly available to validate our approach. The results on the new dataset confirm our set of features outperforms previously published research. |
Full paper |
Experiments in Detection of Implicit Citations
|
| Bibtex |
@InProceedings{ABURA'ED18.4,
author = {Ahmed AbuRa'ed ,Luis Chiruzzo and Horacio Saggion},
title = {Experiments in Detection of Implicit Citations},
booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
year = {2018},
month = {may},
date = {7-12},
location = {Miyazaki, Japan},
editor = {},
publisher = {European Language Resources Association (ELRA)},
address = {Paris, France},
isbn = {979-10-95546-20-7},
language = {english}
} |
Summary of the paper