Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sangameshwar Patil"'
Publikováno v:
Asian Journal of Medical Sciences, Vol 15, Iss 7, Pp 102-107 (2024)
Background: The internship period in medical education serves as a critical phase for students transitioning from theoretical learning to practical application within clinical settings. Surgical specialties, in particular, demand a high level of skil
Externí odkaz:
https://doaj.org/article/5e6a4caf29d041c7b485304e50c3a8f0
Publikováno v:
2022 IEEE International Conference on Data Mining Workshops (ICDMW).
Publikováno v:
Empirical Software Engineering. 25:1341-1378
Automatically predicting the defect type of a software defect from its description can significantly speed up and improve the software defect management process. A major challenge for the supervised learning based current approaches for this task is
Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming
Autor:
Indrajit Bhattacharya, Soham Datta, Girish Keshav Palshikar, Prabir Mallick, Sangameshwar Patil
Publikováno v:
NAACL-HLT
Given the diversity of the candidates and complexity of job requirements, and since interviewing is an inherently subjective process, it is an important task to ensure consistent, uniform, efficient and objective interviews that result in high qualit
Autor:
Nitin Ramrakhiyani, Amit Kumar, Sangameshwar Patil, Girish Keshav Palshikar, Swapnil Hingmire
Publikováno v:
Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021).
Incidents in industries have huge social and political impact and minimizing the consequent damage has been a high priority. However, automated analysis of repositories of incident reports has remained a challenge. In this paper, we focus on automati
Autor:
Sangameshwar Patil
Publikováno v:
WWW (Companion Volume)
Noisy queries pose an important challenge for retrieving relevant search results. The importance for query correction increases with increasing use of hand-held devices and technologies such as SMS, tweets to search and access information. The task i
Autor:
Girish Keshav Palshikar, Sangameshwar Patil, Pushpak Bhattacharyya, Avinash Kumar Singh, Nitin Ramrakhiyani, Vasudeva Varma, Swapnil Hingmire
Publikováno v:
NUSE@ACL
In this paper, we propose the use of Message Sequence Charts (MSC) as a representation for visualizing narrative text in Hindi. An MSC is a formal representation allowing the depiction of actors and interactions among these actors in a scenario, apar
Autor:
Sangameshwar Patil, Swapnil Hingmire, Harsimran Bedi, Nitin Ramrakhiyani, Girish Keshav Palshikar, Pushpak Bhattacharyya, Vasudeva Varma, Sachin Pawar
Publikováno v:
Proceedings of the First Workshop on Narrative Understanding.
In this paper, we advocate the use of Message Sequence Chart (MSC) as a knowledge representation to capture and visualize multi-actor interactions and their temporal ordering. We propose algorithms to automatically extract an MSC from a history narra
Autor:
Girish Keshav Palshikar, Sangameshwar Patil, Nitin Ramrakhiyani, Vasudeva Varma, Pushpak Bhattacharyya, Swapnil Hingmire, Sachin Pawar
Publikováno v:
NAACL-HLT (2)
Scopus-Elsevier
Scopus-Elsevier
Software Requirement Specification documents provide natural language descriptions of the core functional requirements as a set of use-cases. Essentially, each use-case contains a set of actors and sequences of steps describing the interactions among
Autor:
Ajay Gupta, Pushpak Bhattacharyya, Sangameshwar Patil, Devendra Verma, Swapnil Hingmire, Girish Keshav Palshikar, Sachin Pawar
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783030007935
TSD
TSD
Legal court judgements have multiple participants (e.g. judge, complainant, petitioner, lawyer, etc.). They may be referred to in multiple ways, e.g., the same person may be referred as lawyer, counsel, learned counsel, advocate, as well as his/her p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a29eb2caac767374bae67f785dcf68d9
https://doi.org/10.1007/978-3-030-00794-2_16
https://doi.org/10.1007/978-3-030-00794-2_16