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pro vyhledávání: '"Berrospi P"'
Autor:
Auer, Christoph, Lysak, Maksym, Nassar, Ahmed, Dolfi, Michele, Livathinos, Nikolaos, Vagenas, Panos, Ramis, Cesar Berrospi, Omenetti, Matteo, Lindlbauer, Fabian, Dinkla, Kasper, Mishra, Lokesh, Kim, Yusik, Gupta, Shubham, de Lima, Rafael Teixeira, Weber, Valery, Morin, Lucas, Meijer, Ingmar, Kuropiatnyk, Viktor, Staar, Peter W. J.
This technical report introduces Docling, an easy to use, self-contained, MIT-licensed open-source package for PDF document conversion. It is powered by state-of-the-art specialized AI models for layout analysis (DocLayNet) and table structure recogn
Externí odkaz:
http://arxiv.org/abs/2408.09869
Autor:
Mishra, Lokesh, Dhibi, Sohayl, Kim, Yusik, Ramis, Cesar Berrospi, Gupta, Shubham, Dolfi, Michele, Staar, Peter
Publikováno v:
Proceedings of the 1st Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2024), pages 193-214, Bangkok, Thailand. Association for Computational Linguistics
Environment, Social, and Governance (ESG) KPIs assess an organization's performance on issues such as climate change, greenhouse gas emissions, water consumption, waste management, human rights, diversity, and policies. ESG reports convey this valuab
Externí odkaz:
http://arxiv.org/abs/2406.19102
Autor:
Bhattacharjee, Bishwaranjan, Trivedi, Aashka, Muraoka, Masayasu, Ramasubramanian, Muthukumaran, Udagawa, Takuma, Gurung, Iksha, Pantha, Nishan, Zhang, Rong, Dandala, Bharath, Ramachandran, Rahul, Maskey, Manil, Bugbee, Kaylin, Little, Mike, Fancher, Elizabeth, Gerasimov, Irina, Mehrabian, Armin, Sanders, Lauren, Costes, Sylvain, Blanco-Cuaresma, Sergi, Lockhart, Kelly, Allen, Thomas, Grezes, Felix, Ansdell, Megan, Accomazzi, Alberto, El-Kurdi, Yousef, Wertheimer, Davis, Pfitzmann, Birgit, Ramis, Cesar Berrospi, Dolfi, Michele, de Lima, Rafael Teixeira, Vagenas, Panagiotis, Mukkavilli, S. Karthik, Staar, Peter, Vahidinia, Sanaz, McGranaghan, Ryan, Lee, Tsendgar
Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research demonstrated LLMs trained using domain-focused corpora perform better on specialized tasks
Externí odkaz:
http://arxiv.org/abs/2405.10725
Autor:
Mishra, Lokesh, Berrospi, Cesar, Dinkla, Kasper, Antognini, Diego, Fusco, Francesco, Bothur, Benedikt, Lysak, Maksym, Livathinos, Nikolaos, Nassar, Ahmed, Vagenas, Panagiotis, Morin, Lucas, Auer, Christoph, Dolfi, Michele, Staar, Peter
Publikováno v:
AAAI 2024, 38, 23814-23816
We present Deep Search DocQA. This application enables information extraction from documents via a question-answering conversational assistant. The system integrates several technologies from different AI disciplines consisting of document conversion
Externí odkaz:
http://arxiv.org/abs/2311.18481
Autor:
Lam, Hoang Thanh, Sbodio, Marco Luca, Galindo, Marcos Martínez, Zayats, Mykhaylo, Fernández-Díaz, Raúl, Valls, Víctor, Picco, Gabriele, Ramis, Cesar Berrospi, López, Vanessa
Recent research on predicting the binding affinity between drug molecules and proteins use representations learned, through unsupervised learning techniques, from large databases of molecule SMILES and protein sequences. While these representations h
Externí odkaz:
http://arxiv.org/abs/2306.12802
Publikováno v:
Revista Peruana de Medicina Experimental y Salud Pública, Pp 209-13 (2024)
Autoimmune hepatitis (AIH) is a complex condition with unclear origins, involving genetic susceptibility and environmental triggers that lead to immune system dysfunction. We report a case of a pregnant woman from a mosquito-borne disease-endemic are
Externí odkaz:
https://doaj.org/article/4a96ff7fe27947d6892416f3dde70d02
Autor:
Lina Stein, S. Karthik Mukkavilli, Birgit M. Pfitzmann, Peter W. J. Staar, Ugur Ozturk, Cesar Berrospi, Thomas Brunschwiler, Thorsten Wagener
Publikováno v:
Earth's Future, Vol 12, Iss 10, Pp n/a-n/a (2024)
Abstract Floods, droughts, and rainfall‐induced landslides are hydro‐hazards that affect millions of people every year. Anticipation, mitigation, and adaptation to these hazards is increasingly outpaced by their changing magnitude and frequency d
Externí odkaz:
https://doaj.org/article/6a4bbf5ca6fa4ac7840526b09e025664
Document understanding is a key business process in the data-driven economy since documents are central to knowledge discovery and business insights. Converting documents into a machine-processable format is a particular challenge here due to their h
Externí odkaz:
http://arxiv.org/abs/2206.00785
Autor:
Livathinos, Nikolaos, Berrospi, Cesar, Lysak, Maksym, Kuropiatnyk, Viktor, Nassar, Ahmed, Carvalho, Andre, Dolfi, Michele, Auer, Christoph, Dinkla, Kasper, Staar, Peter
The number of published PDF documents has increased exponentially in recent decades. There is a growing need to make their rich content discoverable to information retrieval tools. In this paper, we present a novel approach to document structure reco
Externí odkaz:
http://arxiv.org/abs/2102.09395
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