We have over a decade of experience in developing industrial-strength custom AI solutions. We specialize in Machine Learning & Natural Language Processing (NLP) solutions...
2020-2021 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in
The Similarity Library aims at providing developers with a library for assessing similarity both between words and sentences. This library in an extension of the JWSL (Java WordNet Similarity Library). In the current implementation, there are two categories of similarity measures between words: measures exploiting ontologies such as WordNet, MeSH or the Gene Ontology measures…
The Similarity Library aims at providing developers with a library for assessing similarity both between words and sentences. This library in an extension of the JWSL (Java WordNet Similarity Library). In the current implementation, there are two categories of similarity measures between words: measures exploiting ontologies such as WordNet, MeSH or the Gene Ontology measures…
What is Semantic Similarity? Definition of Semantic Similarity: A concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning/semantic content. ( Wikipedia, 2012e ).
What is Semantic Similarity? Definition of Semantic Similarity: A concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning/semantic content. ( Wikipedia, 2012e ).
H. Chang, Z. Yao, A. Gon, H. Yu, und A. McCallum. Findings of the Association for Computational Linguistics: ACL 2023, Seite 12707--12730. Toronto, Canada, Association for Computational Linguistics, (Juli 2023)
H. Chang, und A. McCallum. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Seite 8048--8073. Dublin, Ireland, Association for Computational Linguistics, (Mai 2022)
T. Ziegenbein, S. Syed, F. Lange, M. Potthast, und H. Wachsmuth. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Seite 4344--4363. Association for Computational Linguistics (ACL), (Juli 2023)Funding Information: This project has been partially funded by the German Research Foundation (DFG) within the project OASiS, project number 455913891, as part of the Priority Program “Robust Argumentation Machines (RATIO)” (SPP-1999). We would like to thank the participants of our study and the anonymous reviewers for the feedback and their time.; 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 ; Conference date: 09-07-2023 Through 14-07-2023.
S. Syed, T. Ziegenbein, P. Heinisch, H. Wachsmuth, und M. Potthast. Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Seite 114--129. Prague, Czechia, Association for Computational Linguistics, (September 2023)
M. Stahl, und H. Wachsmuth. Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges, Seite 31--36. (September 2023)
G. Skitalinskaya, und H. Wachsmuth. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Seite 15799–15816. Association for Computational Linguistics (ACL), (Juli 2023)Funding Information: We thank Andreas Breiter for his valuable feedback on early drafts, and the anonymous reviewers for their helpful comments. This work was partially funded by the Deutsche Forschungsgemeinschaft(DFG, German Research Foundation) under project number 374666841, SFB 1342.; 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 ; Conference date: 09-07-2023 Through 14-07-2023.
G. Skitalinskaya, M. Spliethöver, und H. Wachsmuth. Proceedings of the 16th International Natural Language Generation Conference, Seite 134--152. (2023)DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions..
M. Sengupta. Findings of the Association for Computational Linguistics: EMNLP 2023, Seite 4636–4659. Association for Computational Linguistics (ACL), (Dezember 2023)