Leveraging Transformer Self Attention Encoder for Crisis Event Detection in Short Texts.

Pantelis Kyriakidis|Despoina Chatzakou|Theodora Tsikrika|Stefanos Vrochidis|Ioannis Kompatsiaris


Anthology ID:DBLP:conf/ecir/KyriakidisCTVK22
Volume:Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II
Year:2022
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:163-171
URL:https://doi.org/10.1007/978-3-030-99739-7_19
DOI:https://doi.org/10.1007/978-3-030-99739-7_19
DBLP:conf/ecir/KyriakidisCTVK22
BibTeX:
@inproceedings{kyriakidis-2022-leveraging, author = {Pantelis Kyriakidis and Despoina Chatzakou and Theodora Tsikrika and Stefanos Vrochidis and Ioannis Kompatsiaris}, editor = {Matthias Hagen and Suzan Verberne and Craig Macdonald and Christin Seifert and Krisztian Balog and Kjetil N{\o}rv{\aa}g and Vinay Setty}, title = {{Leveraging Transformer Self Attention Encoder for Crisis Event Detection in Short Texts}}, booktitle = {{Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II}}, series = {Lecture Notes in Computer Science}, volume = {13186}, pages = {163--171}, publisher = {Springer}, year = {2022}, url = {https://doi.org/10.1007/978-3-030-99739-7_19}, doi = {https://doi.org/10.1007/978-3-030-99739-7_19} }