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Reconstruction of Separable Particle Verbs in a Corpus of Spoken German.- Detecting Vocal Irony.- The Devil is in the Details: Parsing Unknown German Words.- Exploring Ensemble Dependency Parsing to Reduce Manual Annotation Workload.- Different German and English Co-reference Resolution Models for Multi-Domain Content Curation Scenarios.- Word and Sentence Segmentation in German: Overcoming Idiosyncrasies in the Use of Punctuation in Private Communication.- Fine-Grained POS Tagging of German Social Media and Web Texts.- Developing a Stemmer for German Based on a Comparative Analysis of Publicly Available Stemmers.- Negation Modeling for German Polarity Classification.- NECKAr: A Named Entity Classifier for Wikidata.- Investigating the Morphological Complexity of German Named Entities: The Case of the GermEval NER Challenge.- Detecting Named Entities and Relations in German Clinical Reports.- In-Memory Distributed Training of Linear-Chain Conditional Random Fields with an Applicationto Fine-Grained Named Entity Recognition.- What does this imply? Examining the Impact of Implicitness on the Perception of Hate Speech.- Automatic Classification of Abusive Language and Personal Attacks in Various Forms of Online Communication.- Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource.- How Social Media Text Analysis Can Inform Disaster Management.- A Comparative Study of Uncertainty Based Active Learning Strategies for General Purpose Twitter Sentiment Analysis with Deep Neural Networks.- An Infrastructure for Empowering Internet Users to Handle Fake News and Other Online Media Phenomena.- Different Types of Automated and Semi-automated Semantic Storytelling: Curation Technologies for Different Sectors.- Twitter Geolocation Prediction Using Neural Networks.- Diachronic Variation of Temporal Expressions in Scientific Writing Through the Lens of Relative Entropy.- A Case Study on the Relevance of the Competence Assumption for Implicature Calculation in Dialogue Systems.- Supporting Sustainable Process Documentation.- Optimizing Visual Representations in Semantic Multi-Modal Models with Dimensionality Reduction, De-noising and Contextual Information.- Using Argumentative Structure to Grade Persuasive Essays.
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Anwendungs-Software |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Lecture Notes in Artificial Intelligence |
Inhalt: |
xiii
310 S. 54 s/w Illustr. 310 p. 54 illus. |
ISBN-13: | 9783319737058 |
ISBN-10: | 3319737058 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-73705-8 |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Redaktion: |
Declerck, Thierry
Rehm, Georg |
Herausgeber: | Georg Rehm/Thierry Declerck |
Auflage: | 1st ed. 2018 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Lecture Notes in Artificial Intelligence |
Maße: | 235 x 155 x 18 mm |
Von/Mit: | Thierry Declerck (u. a.) |
Erscheinungsdatum: | 06.01.2018 |
Gewicht: | 0,493 kg |
Reconstruction of Separable Particle Verbs in a Corpus of Spoken German.- Detecting Vocal Irony.- The Devil is in the Details: Parsing Unknown German Words.- Exploring Ensemble Dependency Parsing to Reduce Manual Annotation Workload.- Different German and English Co-reference Resolution Models for Multi-Domain Content Curation Scenarios.- Word and Sentence Segmentation in German: Overcoming Idiosyncrasies in the Use of Punctuation in Private Communication.- Fine-Grained POS Tagging of German Social Media and Web Texts.- Developing a Stemmer for German Based on a Comparative Analysis of Publicly Available Stemmers.- Negation Modeling for German Polarity Classification.- NECKAr: A Named Entity Classifier for Wikidata.- Investigating the Morphological Complexity of German Named Entities: The Case of the GermEval NER Challenge.- Detecting Named Entities and Relations in German Clinical Reports.- In-Memory Distributed Training of Linear-Chain Conditional Random Fields with an Applicationto Fine-Grained Named Entity Recognition.- What does this imply? Examining the Impact of Implicitness on the Perception of Hate Speech.- Automatic Classification of Abusive Language and Personal Attacks in Various Forms of Online Communication.- Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource.- How Social Media Text Analysis Can Inform Disaster Management.- A Comparative Study of Uncertainty Based Active Learning Strategies for General Purpose Twitter Sentiment Analysis with Deep Neural Networks.- An Infrastructure for Empowering Internet Users to Handle Fake News and Other Online Media Phenomena.- Different Types of Automated and Semi-automated Semantic Storytelling: Curation Technologies for Different Sectors.- Twitter Geolocation Prediction Using Neural Networks.- Diachronic Variation of Temporal Expressions in Scientific Writing Through the Lens of Relative Entropy.- A Case Study on the Relevance of the Competence Assumption for Implicature Calculation in Dialogue Systems.- Supporting Sustainable Process Documentation.- Optimizing Visual Representations in Semantic Multi-Modal Models with Dimensionality Reduction, De-noising and Contextual Information.- Using Argumentative Structure to Grade Persuasive Essays.
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Anwendungs-Software |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Lecture Notes in Artificial Intelligence |
Inhalt: |
xiii
310 S. 54 s/w Illustr. 310 p. 54 illus. |
ISBN-13: | 9783319737058 |
ISBN-10: | 3319737058 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-73705-8 |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Redaktion: |
Declerck, Thierry
Rehm, Georg |
Herausgeber: | Georg Rehm/Thierry Declerck |
Auflage: | 1st ed. 2018 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Lecture Notes in Artificial Intelligence |
Maße: | 235 x 155 x 18 mm |
Von/Mit: | Thierry Declerck (u. a.) |
Erscheinungsdatum: | 06.01.2018 |
Gewicht: | 0,493 kg |