CLEF ProtestNews Lab 2019
Contextualized word embeddings for event sentence detection and event extraction
Abstract
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.
Details
- External Organisation(s)
-
University of Bremen
- Type
- Conference contribution
- Publication date
- 2019
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- General Computer Science
- Electronic version(s)
-
https://ceur-ws.org/Vol-2380/paper_118.pdf (Access:
Open
)
Cite
Loading...
