Abstract
We describe the development of a knowledge graph from an event annotated corpus by presenting a pipeline that identifies and extracts the relations between entities and events from Hindi news articles. Due to the semantic implications of argument identification for events in Hindi, we use a combined syntactic argument and semantic role identification methodology. To the best of our knowledge, no other architecture exists for this purpose. The extracted combined role information is incorporated in a knowledge graph that can be queried via subgraph extraction for basic questions. The architectures presented in this paper can be used for participant extraction and event-entity linking in most Indo-Aryan languages, due to similar syntactic and semantic properties of event arguments.- Anthology ID:
- 2019.icon-1.6
- Volume:
- Proceedings of the 16th International Conference on Natural Language Processing
- Month:
- December
- Year:
- 2019
- Address:
- International Institute of Information Technology, Hyderabad, India
- Editors:
- Dipti Misra Sharma, Pushpak Bhattacharya
- Venue:
- ICON
- SIG:
- Publisher:
- NLP Association of India
- Note:
- Pages:
- 45–55
- Language:
- URL:
- https://aclanthology.org/2019.icon-1.6
- DOI:
- Cite (ACL):
- Pranav Goel, Suhan Prabhu, Alok Debnath, and Manish Shrivastava. 2019. Event Centric Entity Linking for Hindi News Articles: A Knowledge Graph Based Approach. In Proceedings of the 16th International Conference on Natural Language Processing, pages 45–55, International Institute of Information Technology, Hyderabad, India. NLP Association of India.
- Cite (Informal):
- Event Centric Entity Linking for Hindi News Articles: A Knowledge Graph Based Approach (Goel et al., ICON 2019)
- PDF:
- https://preview.aclanthology.org/ml4al-ingestion/2019.icon-1.6.pdf