Daniel Keim

Also published as: Daniel A. Keim


2019

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lingvis.io - A Linguistic Visual Analytics Framework
Mennatallah El-Assady | Wolfgang Jentner | Fabian Sperrle | Rita Sevastjanova | Annette Hautli-Janisz | Miriam Butt | Daniel Keim
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

We present a modular framework for the rapid-prototyping of linguistic, web-based, visual analytics applications. Our framework gives developers access to a rich set of machine learning and natural language processing steps, through encapsulating them into micro-services and combining them into a computational pipeline. This processing pipeline is auto-configured based on the requirements of the visualization front-end, making the linguistic processing and visualization design, detached independent development tasks. This paper describes the constellation and modality of our framework, which continues to support the efficient development of various human-in-the-loop, linguistic visual analytics research techniques and applications.

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Visualizing Linguistic Change as Dimension Interactions
Christin Schätzle | Frederik L. Dennig | Michael Blumenschein | Daniel A. Keim | Miriam Butt
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change

Historical change typically is the result of complex interactions between several linguistic factors. Identifying the relevant factors and understanding how they interact across the temporal dimension is the core remit of historical linguistics. With respect to corpus work, this entails a separate annotation, extraction and painstaking pair-wise comparison of the relevant bits of information. This paper presents a significant extension of HistoBankVis, a multilayer visualization system which allows a fast and interactive exploration of complex linguistic data. Linguistic factors can be understood as data dimensions which show complex interrelationships. We model these relationships with the Parallel Sets technique. We demonstrate the powerful potential of this technique by applying the system to understanding the interaction of case, grammatical relations and word order in the history of Icelandic.

2017

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Interactive Visual Analysis of Transcribed Multi-Party Discourse
Mennatallah El-Assady | Annette Hautli-Janisz | Valentin Gold | Miriam Butt | Katharina Holzinger | Daniel Keim
Proceedings of ACL 2017, System Demonstrations

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HistoBankVis: Detecting Language Change via Data Visualization
Christin Schätzle | Michael Hund | Frederik Dennig | Miriam Butt | Daniel Keim
Proceedings of the NoDaLiDa 2017 Workshop on Processing Historical Language

2015

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Self Organizing Maps for the Visual Analysis of Pitch Contours
Dominik Sacha | Yuki Asano | Christian Rohrdantz | Felix Hamborg | Daniel Keim | Bettina Braun | Miriam Butt
Proceedings of the 20th Nordic Conference of Computational Linguistics (NODALIDA 2015)

2012

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Lexical Semantics and Distribution of Suffixes - A Visual Analysis
Christian Rohrdantz | Andreas Niekler | Annette Hautli | Miriam Butt | Daniel A. Keim
Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH

2011

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Towards Tracking Semantic Change by Visual Analytics
Christian Rohrdantz | Annette Hautli | Thomas Mayer | Miriam Butt | Daniel A. Keim | Frans Plank
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

2010

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Consonant Co-Occurrence in Stems across Languages: Automatic Analysis and Visualization of a Phonotactic Constraint
Thomas Mayer | Christian Rohrdantz | Frans Plank | Peter Bak | Miriam Butt | Daniel A. Keim
Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground

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Towards multi-lingual summarization: A comparative analysis of sentence extraction methods on English and Hebrew corpora
Marina Litvak | Mark Last | Slava Kisilevich | Daniel Keim | Hagay Lipman | Assaf Ben Gur
Proceedings of the 4th Workshop on Cross Lingual Information Access