A Platform for Event Extraction in Hindi
Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, Pushpak Bhattacharyya
Abstract
Event Extraction is an important task in the widespread field of Natural Language Processing (NLP). Though this task is adequately addressed in English with sufficient resources, we are unaware of any benchmark setup in Indian languages. Hindi is one of the most widely spoken languages in the world. In this paper, we present an Event Extraction framework for Hindi language by creating an annotated resource for benchmarking, and then developing deep learning based models to set as the baselines. We crawl more than seventeen hundred disaster related Hindi news articles from the various news sources. We also develop deep learning based models for Event Trigger Detection and Classification, Argument Detection and Classification and Event-Argument Linking.- Anthology ID:
- 2020.lrec-1.273
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 2241–2250
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.273
- DOI:
- Cite (ACL):
- Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, and Pushpak Bhattacharyya. 2020. A Platform for Event Extraction in Hindi. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 2241–2250, Marseille, France. European Language Resources Association.
- Cite (Informal):
- A Platform for Event Extraction in Hindi (Sahoo et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2020.lrec-1.273.pdf