Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kayal, Pratik"'
Scientific documents contain tables that list important information in a concise fashion. Structure and content extraction from tables embedded within PDF research documents is a very challenging task due to the existence of visual features like span
Externí odkaz:
http://arxiv.org/abs/2210.17246
Automatic code synthesis from natural language descriptions is a challenging task. We witness massive progress in developing code generation systems for domain-specific languages (DSLs) employing sequence-to-sequence deep learning techniques in the r
Externí odkaz:
http://arxiv.org/abs/2106.11629
Tables present important information concisely in many scientific documents. Visual features like mathematical symbols, equations, and spanning cells make structure and content extraction from tables embedded in research documents difficult. This pap
Externí odkaz:
http://arxiv.org/abs/2105.14426
Information Extraction (IE) from the tables present in scientific articles is challenging due to complicated tabular representations and complex embedded text. This paper presents TabLeX, a large-scale benchmark dataset comprising table images genera
Externí odkaz:
http://arxiv.org/abs/2105.06400
India loses 35% of the annual crop yield due to plant diseases. Early detection of plant diseases remains difficult due to the lack of lab infrastructure and expertise. In this paper, we explore the possibility of computer vision approaches for scala
Externí odkaz:
http://arxiv.org/abs/1911.10317
The task of learning a sentiment classification model that adapts well to any target domain, different from the source domain, is a challenging problem. Majority of the existing approaches focus on learning a common representation by leveraging both
Externí odkaz:
http://arxiv.org/abs/1910.13425
Publikováno v:
International Journal on Document Analysis & Recognition; Jun2023, Vol. 26 Issue 2, p121-130, 10p
Autor:
Jain, Pranjali, Sahit, Jayakrishna, Choudhari, Jayesh, Pachpande, Soham, Kayal, Pratik, Singh , Mayank, Jain, Naman
Publikováno v:
IndraStra Global.
India is an agro-based economy and proper information about agricultural practices is the key to optimal agricultural growth and output. In order to answer the queries of the farmer, we have build an agricultural chatbot based on the dataset from Kis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d2bda32160861e3eee7d72387b6735f
https://igi.indrastra.com/items/show/62284
https://igi.indrastra.com/items/show/62284
Publikováno v:
ACM International Conference Proceeding Series; 1/5/2020, p249-253, 5p
Publikováno v:
ACM International Conference Proceeding Series; 1/5/2020, p239-243, 5p