Results 11 to 20 of about 833 (102)
Concept Wikification for COVID-19 [PDF]
Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020 Panagiotis Lymperopoulos +2 more
exaly +2 more sources
Cross-lingual Wikification Using Multilingual Embeddings [PDF]
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016 Chen-Tse Tsai, Dan Roth
exaly +2 more sources
Cross-Lingual Named Entity Recognition via Wikification [PDF]
Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning, 2016 Chen-Tse Tsai, Dan Roth
exaly +2 more sources
Automatic Keyword Extraction for Wikification of East Asian Language Documents [PDF]
International Journal of Computer Theory and Engineering, 2016 Akira Maeda
exaly +2 more sources
Enriching Artificial Intelligence Explanations with Knowledge Fragments
Future Internet, 2022 Artificial intelligence models are increasingly used in manufacturing to inform decision making. Responsible decision making requires accurate forecasts and an understanding of the models’ behavior.
Jože Rožanec +6 more
doaj +1 more source
Complexity, Volume 2020, Issue 1, 2020., 2020 Are nearby places (e.g., cities) described by related words? In this article, we transfer this research question in the field of lexical encoding of geographic information onto the level of intertextuality. To this end, we explore Volunteered Geographic Information (VGI) to model texts addressing places at the level of cities or regions with the help ...
Alexander Mehler +5 more
wiley +1 more source
Text Semantic Annotation: A Distributed Methodology Based on Community Coherence
Algorithms, 2020 Text annotation is the process of identifying the sense of a textual segment within a given context to a corresponding entity on a concept ontology.
Christos Makris +2 more
doaj +1 more source
OTNEL: A Distributed Online Deep Learning Semantic Annotation Methodology
Big Data and Cognitive Computing, 2020 Semantic representation of unstructured text is crucial in modern artificial intelligence and information retrieval applications. The semantic information extraction process from an unstructured text fragment to a corresponding representation from a ...
Christos Makris, Michael Angelos Simos
doaj +1 more source
The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing [PDF]
, 2017 We evaluate a semantic parser based on a character-based sequence-to-sequence model in the context of the SemEval-2017 shared task on semantic parsing for AMRs.
Bos, Johan, van Noord, Rik
core +2 more sources
Comparing Czech and English AMRs [PDF]
, 2014 This paper compares Czech and English annotation using Abstract Meaning Represantation ...
Bojar, Ondřej +2 more
core +1 more source