हृषीकेश राजेश तेरदाळकर
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question answering
Aganittyam: Learning Tamil Grammar through Knowledge Graph based Templatized Question Answering
In this work, we introduce a novel Grammar Question-Answering System (Aganittyam) and its associated corpus on the dravidian language …
Mithilesh K
,
Amarjit Madhumalararungeethayan
,
Dharanish Rahul S
,
Abhijith Balan
,
C Oswald
,
Hrishikesh Terdalkar
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Sanskrit Knowledge-based Systems: Annotation and Computational Tools
We address the challenges and opportunities in the development of knowledge systems for Sanskrit, with a focus on question answering. …
Hrishikesh Terdalkar
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Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs
Sanskrit (
Saṃskṛta
) enjoys one of the largest and most varied literature in the whole world. Extracting the knowledge from it, however, …
Hrishikesh Terdalkar
,
Arnab Bhattacharya
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Question-Answering System for Ramayana
Under the umbrella of Indian Knowledge Systems (IKS) division of All India Council for Technical Education (AICTE), Government of India, we target the problem of building general purpose knowledge graph from Sanskrit text of Vālmīki Rāmāyaṇa as well as building natural language question answering system on top of the constructed KG. Due to several limitations related to the state of the art of Sanskrit NLP for semantic tasks, we opt for the process of manual annotation. We have developed a comprehensive NLP annotation tool Antarlekhaka, which is being used for this large scale annotation task.
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