Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kar, Debanjana"'
Autor:
Chatterjee, Oishik, Aggarwal, Pooja, Samanta, Suranjana, Dai, Ting, Mohapatra, Prateeti, Kar, Debanjana, Mahindru, Ruchi, Barbieri, Steve, Postea, Eugen, Blancett, Brad, De Magalhaes, Arthur
In the rapidly evolving landscape of site reliability engineering (SRE), the demand for efficient and effective solutions to manage and resolve issues in site and cloud applications is paramount. This paper presents an innovative approach to action a
Externí odkaz:
http://arxiv.org/abs/2409.17166
Autor:
Gupta, Pranjal, Kumar, Harshit, Kar, Debanjana, Bhukar, Karan, Aggarwal, Pooja, Mohapatra, Prateeti
AI for IT Operations (AIOps) is a powerful platform that Site Reliability Engineers (SREs) use to automate and streamline operational workflows with minimal human intervention. Automated log analysis is a critical task in AIOps as it provides key ins
Externí odkaz:
http://arxiv.org/abs/2308.11526
Most of the existing information extraction frameworks (Wadden et al., 2019; Veysehet al., 2020) focus on sentence-level tasks and are hardly able to capture the consolidated information from a given document. In our endeavour to generate precise doc
Externí odkaz:
http://arxiv.org/abs/2106.10862
Event Argument extraction refers to the task of extracting structured information from unstructured text for a particular event of interest. The existing works exhibit poor capabilities to extract causal event arguments like Reason and After Effects.
Externí odkaz:
http://arxiv.org/abs/2105.00477
The sudden widespread menace created by the present global pandemic COVID-19 has had an unprecedented effect on our lives. Man-kind is going through humongous fear and dependence on social media like never before. Fear inevitably leads to panic, spec
Externí odkaz:
http://arxiv.org/abs/2010.06906
Despite the tremendous success of neural dialogue models in recent years, it suffers a lack of relevance, diversity, and some times coherence in generated responses. Lately, transformer-based models, such as GPT-2, have revolutionized the landscape o
Externí odkaz:
http://arxiv.org/abs/2010.05572
Publikováno v:
2015 International Conference & Workshop on Computing & Communication (IEMCON); 2015, p1-7, 7p
