Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Natarajan, Anandhavelu"'
Autor:
Mondal, Ishani, Li, Zongxia, Hou, Yufang, Natarajan, Anandhavelu, Garimella, Aparna, Boyd-Graber, Jordan
Publikováno v:
Empirical Methods in Natural Language Processing 2024
Automating the creation of scientific diagrams from academic papers can significantly streamline the development of tutorials, presentations, and posters, thereby saving time and accelerating the process. Current text-to-image models struggle with ge
Externí odkaz:
http://arxiv.org/abs/2409.19242
Generating presentation slides from a long document with multimodal elements such as text and images is an important task. This is time consuming and needs domain expertise if done manually. Existing approaches for generating a rich presentation from
Externí odkaz:
http://arxiv.org/abs/2406.06556
Automatically generating a presentation from the text of a long document is a challenging and useful problem. In contrast to a flat summary, a presentation needs to have a better and non-linear narrative, i.e., the content of a slide can come from di
Externí odkaz:
http://arxiv.org/abs/2405.13095
Autor:
Roy, Soumyadeep, Chakraborty, Sudip, Mandal, Aishik, Balde, Gunjan, Sharma, Prakhar, Natarajan, Anandhavelu, Khosla, Megha, Sural, Shamik, Ganguly, Niloy
Online medical forums have become a predominant platform for answering health-related information needs of consumers. However, with a significant rise in the number of queries and the limited availability of experts, it is necessary to automatically
Externí odkaz:
http://arxiv.org/abs/2109.13141
A consumer-dependent (business-to-consumer) organization tends to present itself as possessing a set of human qualities, which is termed as the brand personality of the company. The perception is impressed upon the consumer through the content, be it
Externí odkaz:
http://arxiv.org/abs/2011.09754
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:
http://arxiv.org/abs/2010.11578
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:
http://arxiv.org/abs/2005.05256
Autor:
Syed, Bakhtiyar, Verma, Gaurav, Srinivasan, Balaji Vasan, Natarajan, Anandhavelu, Varma, Vasudeva
Given the recent progress in language modeling using Transformer-based neural models and an active interest in generating stylized text, we present an approach to leverage the generalization capabilities of a language model to rewrite an input text i
Externí odkaz:
http://arxiv.org/abs/1909.09962
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
ACM International Conference Proceeding Series; Mar2015, p69-74, 6p