Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Thakkar, Harsh"'
The effectiveness of Large Language Models (LLMs) in generating accurate responses relies heavily on the quality of input provided, particularly when employing Retrieval Augmented Generation (RAG) techniques. RAG enhances LLMs by sourcing the most re
Externí odkaz:
http://arxiv.org/abs/2404.07221
Autor:
Kacupaj, Endri, Plepi, Joan, Singh, Kuldeep, Thakkar, Harsh, Lehmann, Jens, Maleshkova, Maria
This paper addresses the task of (complex) conversational question answering over a knowledge graph. For this task, we propose LASAGNE (muLti-task semAntic parSing with trAnsformer and Graph atteNtion nEtworks). It is the first approach, which employ
Externí odkaz:
http://arxiv.org/abs/2104.01569
Neural semantic parsing approaches have been widely used for Question Answering (QA) systems over knowledge graphs. Such methods provide the flexibility to handle QA datasets with complex queries and a large number of entities. In this work, we propo
Externí odkaz:
http://arxiv.org/abs/2103.07766
Autor:
Thakkar, Harsh K., Joshi, Kinjal K., Pataniya, Pratik M., Bhadu, Gopala, Siraj, Sohel, Sahatiya, Parikshit, Sumesh, C.K.
Publikováno v:
In International Journal of Hydrogen Energy 15 December 2023 48(97):38266-38278
Publikováno v:
IEEE Access Volume 8, 2020
RDF triplestores and property graph databases are two approaches for data management which are based on modeling, storing, and querying graph-like data. In spite of such common principles, they present special features that complicate the task of dat
Externí odkaz:
http://arxiv.org/abs/1912.02127
Autor:
Mami, Mohamed Nadjib, Graux, Damien, Thakkar, Harsh, Scerri, Simon, Auer, Sören, Lehmann, Jens
Whereas the availability of data has seen a manyfold increase in past years, its value can be only shown if the data variety is effectively tackled ---one of the prominent Big Data challenges. The lack of data interoperability limits the potential of
Externí odkaz:
http://arxiv.org/abs/1910.03118
Graph data management (also called NoSQL) has revealed beneficial characteristics in terms of flexibility and scalability by differently balancing between query expressivity and schema flexibility. This peculiar advantage has resulted into an unfores
Externí odkaz:
http://arxiv.org/abs/1908.06265
Autor:
Thakkar, Harsh, Jain, Sonali, Kumar, Sumit, Bhalekar, Vijay S., Gangakhedkar, Shriya, Shah, Ravi P.
Publikováno v:
In Journal of Chromatography A 25 January 2023 1689
Knowledge graphs have become popular over the past decade and frequently rely on the Resource Description Framework (RDF) or Property Graph (PG) databases as data models. However, the query languages for these two data models -- SPARQL for RDF and th
Externí odkaz:
http://arxiv.org/abs/1801.09556
Knowledge graphs have become popular over the past years and frequently rely on the Resource Description Framework (RDF) or Property Graphs (PG) as underlying data models. However, the query languages for these two data models -- SPARQL for RDF and G
Externí odkaz:
http://arxiv.org/abs/1801.02911