ProTestA: Identifying and Extracting Protest Events in News Notebook for ProtestNews Lab at CLEF 2019Basile, A. & Caselli, T., 2019, Working Notes of CLEF 2019 : Conference and Labs of the Evaluation Forum. CEUR Workshop Proceedings (CEUR-WS.org), Vol. 2380. p. 1-13 14 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
This notebook describes our participation to the Protest- New Lab, identifying protest events in news articles in English. Systems are challenged to perform unsupervised domain adaptation against three sub-tasks: document classification, sentence classification, and event ex- traction. We describe the final submitted systems for all sub-tasks, as well as a series of negative results. Results indicate pretty robust perfor- mances in all tasks (average F1 of 0.705 for the document classification sub-task, average F1 of 0.592 for the sentence classification sub-task; av- erage F1 0.528 for the event extraction sub-task), ranking in the top 4 systems, although drops in the out-of-domain test sets are not minimal.
|Title of host publication||Working Notes of CLEF 2019|
|Subtitle of host publication||Conference and Labs of the Evaluation Forum|
|Publisher||CEUR Workshop Proceedings (CEUR-WS.org)|
|Number of pages||14|
|Publication status||Published - 2019|
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