@inproceedings{goel-etal-2019-event,
    title = "Event Centric Entity Linking for {H}indi News Articles: A Knowledge Graph Based Approach",
    author = "Goel, Pranav  and
      Prabhu, Suhan  and
      Debnath, Alok  and
      Shrivastava, Manish",
    editor = "Sharma, Dipti Misra  and
      Bhattacharya, Pushpak",
    booktitle = "Proceedings of the 16th International Conference on Natural Language Processing",
    month = dec,
    year = "2019",
    address = "International Institute of Information Technology, Hyderabad, India",
    publisher = "NLP Association of India",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2019.icon-1.6/",
    pages = "45--55",
    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."
}