Titlebook: Language Technologies for the Challenges of the Digital Age; 27th International C Georg Rehm,Thierry Declerck Conference proceedings‘‘‘‘‘‘‘

Isolate

引导

Negation Modeling for German Polarity Classificationnt types of negation words that have the same scopes. We show that already negation modeling based on these types largely outperforms traditional negation models which assume the same scope for all negation words and which employ a window-based scope detection rather than a scope detection based on syntactic information.

Bumble

0302-9743 the German language, online media and online content, semantics and reasoning, sentiment analysis, and semantic web description languages..978-3-319-73705-8978-3-319-73706-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

IVORY

Reconstruction of Separable Particle Verbs in a Corpus of Spoken Germanten language. Our study shows that the method can be applied successfully to spoken language, compares different ways of dealing with structures that are specific to spoken language corpora, analyses some remaining problems, and discusses ways of optimising precision or recall for the method. The ou

Expostulate

Detecting Vocal Ironydy. The main aim of the investigation is to find evidence for a non-verbal expression of irony. A data set of 937 utterances was collected and labeled by six listeners for irony and anger. The automatically recognized textual content was labeled for sentiment. We report on experiments to classify ir

Offstage

The Devil is in the Details: Parsing Unknown German Wordsber of word types in such languages. There are however two separate but connected problems, reducing data sparsity of known words and handling rare and unknown words. Methods for tackling one problem may inadvertently negatively impact methods to handle the other. We perform a tightly controlled set

Definitive

外露

Different German and English Coreference Resolution Models for Multi-domain Content Curation Scenarimediary step for a number of natural language processing applications. In this paper, we describe three implementations for performing coreference resolution: rule-based, statistical, and projection-based (from English to German). After a comparative evaluation on benchmark datasets, we conclude wit

BROW

Word and Sentence Segmentation in German: Overcoming Idiosyncrasies in the Use of Punctuation in Priof text used in private communication. We show that by segmenting individual punctuation, and by taking into account freestanding lines and that using unsupervised word representation (i. e., Brown clustering, Word2Vec and Fasttext) achieved a label accuracy of 96% in a corpus of postcards used in p

visual-cortex