Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rita Sevastjanova"'
Publikováno v:
ACM Transactions on Management Information Systems, 14 (2)
ACM Transactions on Management Information Systems, 14(2):15. Association for Computing Machinery, Inc
ACM Transactions on Management Information Systems, 14(2):15. Association for Computing Machinery, Inc
Healthcare systems are under pressure from an aging population, rising costs, and increasingly complex conditions and treatments. Although data are determined to play a bigger role in how doctors diagnose and prescribe treatments, they struggle due t
Autor:
Steffen Eckhard, Vytautas Jankauskas, Elena Leuschner, Ian Burton, Tilman Kerl, Rita Sevastjanova
Publikováno v:
The Review of International Organizations.
International organizations (IOs) of the United Nations (UN) system publish around 750 evaluation reports per year, offering insights on their performance across project, program, institutional, and thematic activities. So far, it was not feasible to
Autor:
Mennatallah El-Assady, Rita Sevastjanova, Jürgen Bernard, Fabian Sperrle, Rebecca Kehlbeck, Wolfgang Jentner
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 11:1-38
Linguistic insight in the form of high-level relationships and rules in text builds the basis of our understanding of language. However, the data-driven generation of such structures often lacks labeled resources that can be used as training data for
Autor:
Mennatallah El-Assady, Rebecca Kehlbeck, Yannick Metz, Udo Schlegel, Rita Sevastjanova, Fabian Sperrle, Thilo Spinner
Publikováno v:
2022 IEEE 4th Workshop on Visualization Guidelines in Research, Design, and Education (VisGuides).
Publikováno v:
IEEE transactions on visualization and computer graphics.
Neural language models are widely used; however, their model parameters often need to be adapted to the specific domains and tasks of an application, which is time- and resource-consuming. Thus, adapters have recently been introduced as a lightweight
Publikováno v:
Einfeldt, M, Sevastjanova, R, Zahner-Ritter, K, Kazak, E & Braun, B 2021, Reliable estimates of interpretable cue effects with Active Learning in psycholinguistic research . in Proc. Interspeech 2021 . https://doi.org/10.21437/Interspeech.2021-1524
Studying the relative weighting of different cues for the interpretation of a linguistic phenomenon is a core element in psycholinguistic research. This research needs to strike a balance between two things: generalisability to diverse lexical settin
Autor:
Miriam Butt, Adam James Bradley, Rita Sevastjanova, Mennatallah El-Assady, Christopher Collins, Daniel A. Keim
We present VisInReport, a visual analytics tool that supports the manual analysis of discourse transcripts and generates reports based on user interaction. As an integral part of scholarly work in the social sciences and humanities, discourse analysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::371249759944b76bb8946ab1c3b19e0d
Autor:
Mennatallah El-Assady, Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim
Communication consists of both meta-information as well as content. Currently, the automated analysis of such data often focuses either on the network aspects via social network analysis or on the content, utilizing methods from text-mining. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cc1d3068f49b67082c67d6396ca0d4c
Autor:
Valeria de Paiva, Mennatallah El-Assady, Richard S. Crouch, Rita Sevastjanova, Aikaterini-Lida Kalouli
Publikováno v:
COLING (Demonstrations)
Advances in Natural Language Inference (NLI) have helped us understand what state-of-the-art models really learn and what their generalization power is. Recent research has revealed some heuristics and biases of these models. However, to date, there
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f2d493289300e3a8438f9408bac6c2d
Publikováno v:
Computer Graphics Forum. 36:213-225
We present NEREx, an interactive visual analytics approach for the exploratory analysis of verbatim conversational transcripts. By revealing different perspectives on multi-party conversations, NEREx gives an entry point for the analysis through high