Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Isabel Cachola"'
Publikováno v:
Proceedings of the 21st Workshop on Biomedical Language Processing.
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Autor:
Evie Yu-Yen Cheng, Madeleine van Zuylen, Jonathan Bragg, Bailey Kuehl, Daniel S. Weld, Isabel Cachola, Linda Wagner, Lucy Lu Wang, Chelsea Haupt, Matt Latzke
Publikováno v:
ASSETS
We present SciA11y, a system that renders inaccessible scientific paper PDFs into HTML. SciA11y uses machine learning models to extract and understand the content of scientific PDFs, and reorganizes the resulting paper components into a form that bet
Publikováno v:
ACL/IJCNLP (1)
We address the task of explaining relationships between two scientific documents using natural language text. This task requires modeling the complex content of long technical documents, deducing a relationship between these documents, and expressing
Publikováno v:
EMNLP (Findings)
We introduce TLDR generation, a new form of extreme summarization, for scientific papers. TLDR generation involves high source compression and requires expert background knowledge and understanding of complex domain-specific language. To facilitate s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c752d620927425fc200e1e608c329081
http://arxiv.org/abs/2004.15011
http://arxiv.org/abs/2004.15011
Publikováno v:
EMNLP
Vulgar words are employed in language use for several different functions, ranging from expressing aggression to signaling group identity or the informality of the communication. This versatility of usage of a restricted set of words is challenging f