A5026988679- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Topic Modeling
- linguistics and terminology studies
- Video Analysis and Summarization
- Speech and dialogue systems
- Digital Humanities and Scholarship
- Service-Oriented Architecture and Web Services
- Folklore, Mythology, and Literature Studies
- Biomedical Text Mining and Ontologies
- Advanced Database Systems and Queries
- Advanced Text Analysis Techniques
- Lexicography and Language Studies
- Translation Studies and Practices
- Image Retrieval and Classification Techniques
- Music and Audio Processing
- Sentiment Analysis and Opinion Mining
- Multimedia Communication and Technology
- Web Data Mining and Analysis
- Misinformation and Its Impacts
- Advanced Image and Video Retrieval Techniques
- Library Science and Information Systems
- Hearing Impairment and Communication
- Multi-Agent Systems and Negotiation
- Data Quality and Management
German Research Centre for Artificial Intelligence
2015-2024
Centre National de la Recherche Scientifique
2023
Université Grenoble Alpes
2023
Laboratoire d'Informatique de Grenoble
2023
Institut polytechnique de Grenoble
2023
Darmstadt University of Applied Sciences
2019
Austrian Academy of Sciences
2011-2019
Delft University of Technology
2018
Saarland University
2003-2017
Artificial Intelligence Research Institute
2017
Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondřej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Estève, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, Dávid Javorský, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny...
Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajič, Daniel Hershcovich, Eduard Hovy, Alexander Koller, Simon Krek, Steven Schockaert, Rico Sennrich, Ekaterina Shutova, Roberto Navigli. Proceedings of the 61st Annual Meeting Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Appointment scheduling is a problem faced daily by many individuals and organizations. Cooperating agent systems have been developed to partially automate this task. In order extend the circle of participants as far possible we advocate use natural language transmitted email. We describe COSMA, fully implemented German server for existing appointment systems. COSMA can cope with multiple dialogues in parallel, accounts differences dialogue behaviour between human machine agents. NL coverage...
This article provides a comprehensive and up-to-date survey of models vocabularies for creating linguistic linked data (LLD) focusing on the latest developments in area both building upon complementing previous works covering similar territory. The begins with an overview some recent trends which have had significant impact vocabularies. Next, we give general existing different categories LLD resource. After look at community standards initiatives including descriptions work OntoLex-Lemon...
This paper reports the findings of Dagstuhl Perspectives Workshop 17442 on performance modeling and prediction in domains Information Retrieval, Natural language Processing Recommender Systems. We present a framework for further research, which identifies five major problem areas: understanding measures, analysis, making underlying assumptions explicit, identifying application features determining performance, development models describing relationship between assumptions, resulting performance.
Many approaches to sentiment analysis rely on a lexicon that labels words with prior polarity.This is particularly true for languages other than English, where labelled training data not easily available.Existing efforts produce such lexicons exist, and avoid duplicated effort, principled way combine multiple resources required.In this paper, we introduce Bayesian probabilistic model, which can simultaneously polarity scores from several sources estimate the quality of each source.We apply...