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pro vyhledávání: '"Roy, Dwaipayan"'
Quantifying bias in retrieval functions through document retrievability scores is vital for assessing recall-oriented retrieval systems. However, many studies investigating retrieval model bias lack validation of their query generation methods as acc
Externí odkaz:
http://arxiv.org/abs/2404.09473
The accessibility of documents within a collection holds a pivotal role in Information Retrieval, signifying the ease of locating specific content in a collection of documents. This accessibility can be achieved via two distinct avenues. The first is
Externí odkaz:
http://arxiv.org/abs/2311.10348
Autor:
Adhikary, Subinay, Das, Sagnik, Saha, Sagnik, Sen, Procheta, Roy, Dwaipayan, Ghosh, Kripabandhu
The escalating number of pending cases is a growing concern world-wide. Recent advancements in digitization have opened up possibilities for leveraging artificial intelligence (AI) tools in the processing of legal documents. Adopting a structured rep
Externí odkaz:
http://arxiv.org/abs/2310.12131
The overwhelming volume of data generated and indexed by search engines poses a significant challenge in retrieving documents from the index efficiently and effectively. Even with a well-crafted query, several relevant documents often get buried amon
Externí odkaz:
http://arxiv.org/abs/2310.09508
Publikováno v:
2023
Retrievability measures the influence a retrieval system has on the access to information in a given collection of items. This measure can help in making an evaluation of the search system based on which insights can be drawn. In this paper, we inves
Externí odkaz:
http://arxiv.org/abs/2303.15036
Autor:
Garg, Satvik, Roy, Dwaipayan
In recent years, Knowledge Graph (KG) development has attracted significant researches considering the applications in web search, relation prediction, natural language processing, information retrieval, question answering to name a few. However, oft
Externí odkaz:
http://arxiv.org/abs/2205.09088
Publikováno v:
Proc. of JCDL 2022
In this paper, we investigate the retrievability of datasets and publications in a real-life Digital Library (DL). The measure of retrievability was originally developed to quantify the influence that a retrieval system has on the access to informati
Externí odkaz:
http://arxiv.org/abs/2205.00937
Autor:
Roy, Dwaipayan1 (AUTHOR) Dwaipayan.Roy@iiserkol.ac.in, Carevic, Zeljko2 (AUTHOR), Mayr, Philipp2 (AUTHOR) Philipp.Mayr@gesis.org
Publikováno v:
International Journal on Digital Libraries. Jun2024, Vol. 25 Issue 2, p287-301. 15p.
Autor:
Yo-Jud Cheng, J.1, Roy, Dwaipayan2
Publikováno v:
Harvard Business Review Digital Articles. 9/12/2024, p1-10. 10p.
In this demo paper, we present ConSTR, a novel Contextual Search Term Recommender that utilises the user's interaction context for search term recommendation and literature retrieval. ConSTR integrates a two-layered recommendation interface: the firs
Externí odkaz:
http://arxiv.org/abs/2106.04376