A5036804117- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Linguistic Studies and Language Acquisition
- Lexicography and Language Studies
- linguistics and terminology studies
- Topic Modeling
- Speech and dialogue systems
- Text Readability and Simplification
- Biomedical Text Mining and Ontologies
- Service-Oriented Architecture and Web Services
- Translation Studies and Practices
- Spanish Linguistics and Language Studies
- Mathematics, Computing, and Information Processing
- Library Science and Information Systems
- Multi-Agent Systems and Negotiation
- Distributed and Parallel Computing Systems
- Advanced Database Systems and Queries
- Historical Linguistics and Language Studies
- Syntax, Semantics, Linguistic Variation
- Educational and Social Studies
- Authorship Attribution and Profiling
- Explainable Artificial Intelligence (XAI)
- Advanced Computational Techniques and Applications
- Algorithms and Data Compression
- Historical and Environmental Studies
Institute for Computational Linguistics “A. Zampolli”
2011-2023
National Research Council
2002-2020
National Academies of Sciences, Engineering, and Medicine
2001-2018
Freie Universität Berlin
2016
Leibniz Institute for the German Language
2016
Austrian Academy of Sciences
2016
École Normale Supérieure de Lyon
2016
University of Glasgow
2016
University of Turin
2008
University of Pisa
1982-2002
The project LE-SIMPLE is an innovative attempt of building harmonized syntactic-semantic lexicons for twelve European languages, aimed at use in different Human Language Technology applications. SIMPLE provides a general design model the encoding large amount semantic information, spanning from ontological typing, to argument structure and terminology. thus framework resource development, where state-of-the-art results lexical semantics are coupled with needs Engineering applications...
This paper presents a set of tools and methods for acquiring, manipulating, analyzing machine-readable dictionaries. We give several detailed examples the use these particular analyses. A novel aspect our work is that it allows combined processing multiple Our describe analyses data from Webster's Seventh Collegiate Dictionary, Longman Dictionary Contemporary English, Collins bilingual dictionaries, Thesaurus, Zingarelli Italian dictionary. existing facilities results they have produced as...
Due to the rapidly expanding body of biomedical literature, biologists require increasingly sophisticated and efficient systems help them search for relevant information. Such should account multiple written variants used represent concepts, allow user specific pieces knowledge (or events) involving these e.g., protein-protein interactions. functionality requires access detailed information about words in literature. Existing databases ontologies often have a focus are oriented towards human...
Article Free Access Share on Acquisition of lexical information: from a large textual Italian corpus Authors: Nicoletta Calzolari Universita' di Pisa, Italy ItalyView Profile , Remo Bindi Authors Info & Claims COLING '90: Proceedings the 13th conference Computational linguistics - Volume 3August 1990 Pages 54–59https://doi.org/10.3115/991146.991156Online:20 August 1990Publication History 17citation352DownloadsMetricsTotal Citations17Total Downloads352Last 12 Months51Last 6 weeks3 Get...
In a well-structured Lexical Data Base, number of relations among lexical entries can be interactively evidenced. The present article examines hyponymy, as an example paradigmatic relation, and "restriction" syntagmatic relation. theoretical results their implementation are illustrated.
In a well-structured Lexical Data Base, number of relations among lexical entries can be interactively evidenced. The present article examines hyponymy, as an example paradigmatic relation, and "restriction" syntagmatic relation. theoretical results their implementation are illustrated.