DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5...10
Hits 1 – 20 of 196

1
APiCS-Ligt: Towards Semantic Enrichment of Interlinear Glossed Text ...
Ionov, Maxim. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
BASE
Show details
2
A Knowledge-Based Sense Disambiguation Method to Semantically Enhanced NL Question for Restricted Domain
In: Information ; Volume 12 ; Issue 11 (2021)
BASE
Show details
3
An Ontology for CoNLL-RDF: Formal Data Structures for TSV Formats in Language Technology ...
Chiarcos, Christian; Ionov, Maxim; Glaser, Luis. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
BASE
Show details
4
An Application of Declarative Languages in Distributed Architectures: ASP and DALI Microservices
Costantini, Stefania; De Gasperis, Giovanni; De Lauretis, Lorenzo. - : International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021
BASE
Show details
5
RuBQ: A Russian Dataset for Question Answering over Wikidata
In: Lect. Notes Comput. Sci. ; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020)
BASE
Show details
6
The Semantic Web3D: Towards comprehensive representation of 3D content on the Semantic Web
In: Research outputs 2014 to 2021 (2019)
BASE
Show details
7
A Simple and Effective biLSTM Approach to Aspect-Based Sentiment Analysis in Social Media Customer Feedback
In: Clematide, Simon (2018). A Simple and Effective biLSTM Approach to Aspect-Based Sentiment Analysis in Social Media Customer Feedback. In: Barbaresi, Adrien; Biber, Hanno; Neubarth, Friedrich; Osswald, Rainer. 14th Conference on Natural Language Processing - KONVENS 2018. Vienna: Verlag der Österreichischen Akademie der Wissenschaften, 29-33. (2018)
BASE
Show details
8
Exploring the Impact of Artificial Intelligence on the Accounting Profession
In: Publications (2017)
BASE
Show details
9
Unsupervised, knowledge-free, and interpretable word sense disambiguation
In: EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings (2017)
BASE
Show details
10
A Corpus of Clinical Practice Guidelines Annotated with the Importance of Recommendations
Read, Jonathon; Velldal, Erik; Cavazza, Marc. - : European Language Resources Association, 2016
BASE
Show details
11
Web-based tools and resources for legal translators: the JudGENTT translation-oriented glossaries for criminal courts translators
Borja Albi, Anabel; García-Izquierdo, Isabel. - : Pontificia Universidad Católica de Chile, 2016
BASE
Show details
12
Web-based tools and resources for legal translators: the JudGENTT translation-oriented glossaries for criminal courts translators
In: Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, ISSN 0718-5758, Nº. 33, 2016, pags. 226-250 (2016)
BASE
Show details
13
Evolving Connectionist Systems for Adaptive Learning and Knowledge Discovery: Trends and Directions
Kasabov, N. - : Elsevier, 2015
BASE
Show details
14
A Term Association Inference Model for Single Documents: A Stepping Stone for Investigation through Information Extraction
Manna, Sukanya; Gedeon, Tamas (Tom). - : Springer, 2015
BASE
Show details
15
A Term Association Inference Model for Single Documents: A Stepping Stone for Investigation through Information Extraction
Manna, Sukanya; Gedeon, Tamas (Tom). - : Springer, 2015
Abstract: In this paper, we propose a term association model which extracts significant terms as well as the important regions from a single document. This model is a basis for a systematic form of subjective data analysis which captures the notion of relatedness of different discourse structures considered in the document, without having a predefined knowledge-base. This is a paving stone for investigation or security purposes, where possible patterns need to be figured out from a witness statement or a few witness statements. This is unlikely to be possible in predictive data mining where the system can not work efficiently in the absence of existing patterns or large amount of data. This model overcomes the basic drawback of existing language models for choosing significant terms in single documents. We used a text summarization method to validate a part of this work and compare our term significance with a modified version of Salton's [1].
Keyword: Computational linguistics; Data structures; Decision support systems; Extraction; Gain of Words; Information management; Information retrieval; Information retrieval systems; Intersymbol interference; Investigation; Keywords: Administrative data processing; Knowledge based systems; Knowledge management; Modal analysi Gain of Sentences; Summarization; Term significance
URL: http://hdl.handle.net/1885/39882
https://doi.org/10.1007/978-3-540-69304-8_2
BASE
Hide details
16
Learning Task Knowledge from Dialog and Web Access
In: Robotics ; Volume 4 ; Issue 2 ; Pages 223-252 (2015)
BASE
Show details
17
Automated Extension of Narrative Planning Domains with Antonymic Operators
BASE
Show details
18
IMMERSE: Interactive Mentoring for Multimodal Experiences in Realistic Social Encounters
In: DTIC (2015)
BASE
Show details
19
Document Image Parsing and Understanding using Neuromorphic Architecture
In: DTIC (2015)
BASE
Show details
20
Learning to Understand Natural Language with Less Human Effort
In: DTIC (2015)
BASE
Show details

Page: 1 2 3 4 5...10

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
196
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern