Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Abhilasha Sancheti"'
Autor:
Divya Kothandaraman, Sumit Shekhar, Abhilasha Sancheti, Manoj Ghuhan, Tripti Shukla, Dinesh Manocha
We present a novel method, SALAD, for the challenging vision task of adapting a pre-trained "source" domain network to a "target" domain, with a small budget for annotation in the "target" domain and a shift in the label space. Further, the task assu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bee465c224583b2642e474f9d285bc3
http://arxiv.org/abs/2205.12840
http://arxiv.org/abs/2205.12840
Autor:
Tripti Shukla, Aanisha Bhattacharyya, Ayudh Saxena, Jeevana Kruthi Karnuthala, Abhinav Bohra, Bhanu Prakash Reddy Guda, Abhilasha Sancheti, Niyati Chhaya
Publikováno v:
27th International Conference on Intelligent User Interfaces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab1dc499fc47e31a2a0d82edbecc894e
https://doi.org/10.1145/3490100.3516460
https://doi.org/10.1145/3490100.3516460
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc60afb2d4302552822846c340601d26
https://doi.org/10.18653/v1/2022.findings-acl.162
https://doi.org/10.18653/v1/2022.findings-acl.162
Autor:
Abhilasha Sancheti, Rachel Rudinger
Script Knowledge (Schank and Abelson, 1975) has long been recognized as crucial for language understanding as it can help in filling in unstated information in a narrative. However, such knowledge is expensive to produce manually and difficult to ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3d5772e4c77e5c9b07fd64ccd090d26
Publikováno v:
NAACL-HLT
Style transfer has been widely explored in natural language generation with non-parallel corpus by directly or indirectly extracting a notion of style from source and target domain corpus. A common shortcoming of existing approaches is the prerequisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6808efb87323529731f49567edc308f
http://arxiv.org/abs/2010.11578
http://arxiv.org/abs/2010.11578
Publikováno v:
W-NUT@EMNLP
In this work, we describe our system for WNUT-2020 shared task on the identification of informative COVID-19 English tweets. Our system is an ensemble of various machine learning methods, leveraging both traditional feature-based classifiers as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28a217e8e2e1abc90af80f47e695c511
http://arxiv.org/abs/2009.03849
http://arxiv.org/abs/2009.03849
Autor:
Bhanu Prakash Reddy, Iftikhar Ahamath Burhanuddin, Abhilasha Sancheti, Rohin Garg, Samarth Aggarwal
Recent times have seen data analytics software applications become an integral part of the decision-making process of analysts. The users of these software applications generate a vast amount of unstructured log data. These logs contain clues to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::221ed75cdb197eaa0e05cf5ae1645d66
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030454388
ECIR (1)
ECIR (1)
Style transfer deals with the algorithms to transfer the stylistic properties of a piece of text into that of another while ensuring that the core content is preserved. There has been a lot of interest in the field of text style transfer due to its w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa9917a5c0c5b54bf71ebd1695373f4f
https://doi.org/10.1007/978-3-030-45439-5_36
https://doi.org/10.1007/978-3-030-45439-5_36
Autor:
Sai Sandeep Mparthi Moparthi, Gautam Choudhary, Abhilasha Sancheti, Chintha Priyadarshini, Natwar Modani
Publikováno v:
Computación y Sistemas. 23
In order to keep their audience engaged, authors need to make sure that the blogs or articles they write cater to the taste of their audience and are understood by them. With the rapid proliferation of online blogging websites, the participation of r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d17a77a53e8370c852a95777c27cf755
https://doi.org/10.13053/cys-23-3-3237
https://doi.org/10.13053/cys-23-3-3237
Autor:
Abhilasha Sancheti, Tanya Goyal, Paridhi Maheshwari, Anish V. Monsy, Balaji Vasan Srinivasan, Rajat Chaturvedi
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783319930367
PAKDD (2)
PAKDD (2)
Recent efforts towards digitization of cultural heritage artifacts have resulted in a surge of information around these artifacts. However, the organization of these artifacts falls short with respect to accessing the facts across these entities. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d16d465fab1dbea7353bd5ae6ded28e5
https://doi.org/10.1007/978-3-319-93037-4_25
https://doi.org/10.1007/978-3-319-93037-4_25