हृषीकेश राजेश तेरदाळकर
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Āyurjñānam: Exploring Āyurveda using Knowledge Graphs
The Bṛhat-Trayī, consisting of Carakasaṃhitā, Suśrutasaṃhitā, and Aṣṭāṅgahṛdaya, is an encyclopaedic reference set in Āyurveda. …
Hrishikesh Terdalkar
,
Vishakha Deulgaonkar
,
Arnab Bhattacharya
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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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Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text
Knowledge bases (KB) are an important resource in a number of natural language processing (NLP) and information retrieval (IR) tasks, …
Hrishikesh Terdalkar
,
Arnab Bhattacharya
,
Madhulika Dubey
,
Ramamurthy S
,
Bhavna Naneria Singh
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Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs
We present a web-based tool
Sangrahaka
for annotating entities and relationships from text corpora towards construction of a knowledge …
Hrishikesh Terdalkar
,
Arnab Bhattacharya
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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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