Marc Schulder
Marc Schulder
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Paper-Conference
Collocations in Sign Language Lexicography: Towards Semantic Abstractions for Word Sense Discrimination
Abstract In general monolingual lexicography a corpus-based approach to word sense discrimination (WSD) is the current standard. Automatically generated lexical profiles such as Word Sketches provide an overview on typical uses in the form of collocate lists grouped by their part of speech categories and their syntactic dependency relations to the base item.
Gabriele Langer
,
Marc Schulder
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Poster
Extending the Public DGS Corpus in Size and Depth
Abstract In 2018 the DGS-Korpus project published the first full release of the Public DGS Corpus. This event marked a change of focus for the project. While before most attention had been on increasing the size of the corpus, now an increase in its depth became the priority.
Thomas Hanke
,
Marc Schulder
,
Reiner Konrad
,
Elena Jahn
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Project
Poster
ATC-Anno: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation
Abstract In air traffic control, assistant systems support air traffic controllers in their work. To improve the reactivity and accuracy of the assistant, automatic speech recognition can monitor the commands uttered by the controller.
Marc Schulder
,
Johannah O'Mahony
,
Yury Bakanouski
,
Dietrich Klakow
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Project
Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions
Abstract The sentiment polarity of an expression (whether it is perceived as positive, negative or neutral) can be influenced by a number of phenomena, foremost among them negation. Apart from closed-class negation words like no, not or without, negation can also be caused by so-called polarity shifters.
Marc Schulder
,
Michael Wiegand
,
Josef Ruppenhofer
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Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German
Abstract In this paper we use methods for creating a large lexicon of verbal polarity shifters and apply them to German. Polarity shifters are content words that can move the polarity of a phrase towards its opposite, such as the verb “abandon” in “abandon all hope”.
Marc Schulder
,
Michael Wiegand
,
Josef Ruppenhofer
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Poster
DOI
Introducing a Lexicon of Verbal Polarity Shifters for English
Abstract The sentiment polarity of a phrase does not only depend on the polarities of its words, but also on how these are affected by their context. Negation words (e.g. not, no, never) can change the polarity of a phrase.
Marc Schulder
,
Michael Wiegand
,
Josef Ruppenhofer
,
Stephanie Köser
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Slides
DOI
Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features
Abstract We present a major step towards the creation of the first high-coverage lexicon of polarity shifters. In this work, we bootstrap a lexicon of verbs by exploiting various linguistic features.
Marc Schulder
,
Michael Wiegand
,
Josef Ruppenhofer
,
Benjamin Roth
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Dataset
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Slides
DOI
Quantifying the Benefits of Speech Recognition for an Air Traffic Management Application
Abstract The project AcListant® (Active Listening Assistant), which uses automatic speech recognition to recognize the commands in air traffic controller to pilot communication, has achieved command recognition rates above 95%. These high rates were obtained with an Assistance-Based Speech Recognition (ABSR).
Hartmut Helmke
,
Youssef Oualil
,
Marc Schulder
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Project
Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features
Abstract We examine different features and classifiers for the categorization of opinion words into actor and speaker view. To our knowledge, this is the first comprehensive work to address sentiment views on the word level taking into consideration opinion verbs, nouns and adjectives.
Michael Wiegand
,
Marc Schulder
,
Josef Ruppenhofer
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Project
DOI
Opinion Holder and Target Extraction for Verb-based Opinion Predicates – The Problem is Not Solved
Abstract We offer a critical review of the current state of opinion role extraction involving opinion verbs. We argue that neither the currently available lexical resources nor the manually annotated text corpora are sufficient to appropriately study this task.
Michael Wiegand
,
Marc Schulder
,
Josef Ruppenhofer
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Project
DOI
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