{"report_number":"118","citation":{"short":"G. Skitalinskaya, J. Klaff, M. Spliethöver, CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction, Lugano, Switzerland, 2019.","bibtex":"@book{Skitalinskaya_Klaff_Spliethöver_2019, place={Lugano, Switzerland}, series={CEUR Workshop Proceedings}, title={CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction}, volume={2380}, author={Skitalinskaya, Gabriella and Klaff, Jonas and Spliethöver, Maximilian}, year={2019}, collection={CEUR Workshop Proceedings} }","ieee":"G. Skitalinskaya, J. Klaff, and M. Spliethöver, <i>CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction</i>, vol. 2380. Lugano, Switzerland, 2019.","ama":"Skitalinskaya G, Klaff J, Spliethöver M. <i>CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction</i>. Vol 2380. Lugano, Switzerland; 2019.","mla":"Skitalinskaya, Gabriella, et al. <i>CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction</i>. Vol. 2380, 2019.","chicago":"Skitalinskaya, Gabriella, Jonas Klaff, and Maximilian Spliethöver. <i>CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction</i>. Vol. 2380. CEUR Workshop Proceedings. Lugano, Switzerland, 2019.","apa":"Skitalinskaya, G., Klaff, J., &#38; Spliethöver, M. (2019). <i>CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction</i> (Vol. 2380). Lugano, Switzerland."},"volume":2380,"oa":"1","type":"report","year":"2019","author":[{"first_name":"Gabriella","full_name":"Skitalinskaya, Gabriella","last_name":"Skitalinskaya"},{"first_name":"Jonas","full_name":"Klaff, Jonas","last_name":"Klaff"},{"full_name":"Spliethöver, Maximilian","last_name":"Spliethöver","id":"84035","first_name":"Maximilian","orcid":"0000-0003-4364-1409"}],"main_file_link":[{"open_access":"1","url":"http://ceur-ws.org/Vol-2380/paper_118.pdf"}],"user_id":"84035","_id":"16847","status":"public","date_created":"2020-04-23T15:18:40Z","abstract":[{"lang":"eng","text":"In this work we describe our results achieved in the ProtestNews Lab at CLEF 2019. To tackle the problems of event sentence detection and event extraction we decided to use contextualized string embeddings. The models were trained on a data corpus collected from Indian news sources, but evaluated on data obtained from news sources from other countries as well, such as China. Our models have obtained competitive results and have scored 3rd in the event sentence detection task and 1st in the event extraction task based on average F1-scores for different test datasets."}],"extern":"1","title":"CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction","date_updated":"2022-01-06T06:52:57Z","page":"7","series_title":"CEUR Workshop Proceedings","intvolume":"      2380","language":[{"iso":"eng"}],"place":"Lugano, Switzerland"}