Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Seiffe, Laura"'
Autor:
Roller, Roland, Seiffe, Laura, Ayach, Ammer, Möller, Sebastian, Marten, Oliver, Mikhailov, Michael, Alt, Christoph, Schmidt, Danilo, Halleck, Fabian, Naik, Marcel, Duettmann, Wiebke, Budde, Klemens
Background: In the information extraction and natural language processing domain, accessible datasets are crucial to reproduce and compare results. Publicly available implementations and tools can serve as benchmark and facilitate the development of
Externí odkaz:
http://arxiv.org/abs/2207.03885
Autor:
Seiffe, Laura, Marten, Oliver, Mikhailov, Michael, Schmeier, Sven, Möller, Sebastian, Roller, Roland
Many people share information in social media or forums, like food they eat, sports activities they do or events which have been visited. This also applies to information about a person's health status. Information we share online unveils directly or
Externí odkaz:
http://arxiv.org/abs/2005.11494
Recent development of large-scale question answering (QA) datasets triggered a substantial amount of research into end-to-end neural architectures for QA. Increasingly complex systems have been conceived without comparison to simpler neural baseline
Externí odkaz:
http://arxiv.org/abs/1703.04816
Presented Poster of our paper at SWAT4HCLS 2018.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bd5b931952676f27a9de169d4b078b9
In recent years, clinical text processing gained a lot of attention. Easing the access to information for medical personnel, combined with the ability to track and forecast a patients development, makes structured information extraction from medical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbfcddaed40281c13a5bdfaa29e64ca5