| 7 |
Analyzing COVID-19 Medical Papers Using Artificial Intelligence: Insights for Researchers and Medical Professionals
|
|
|
|
In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 4 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Towards a theoretical understanding of word and relation representation
|
|
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Representation of Explanations of Possibilistic Inference Decisions
|
|
|
|
In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty ; https://hal-cea.archives-ouvertes.fr/cea-03406884 ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty, Sep 2021, Prague, Czech Republic. pp.513-527, ⟨10.1007/978-3-030-86772-0_37⟩ (2021)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Injecting Inductive Biases into Distributed Representations of Text ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 16 |
RefWUG: Diachronic Reference Word Usage Graphs for German ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Αναγνώριση νοηματικής γλώσσας με τεχνικές βαθιάς μηχανικής μάθησης ... : Deep learning based sign language recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Graphs, Computation, and Language ...
|
|
|
|
Abstract:
Graphs and networks offer a convenient way to study systems around us, including such complex ones as human language. Graph-based representations are proven to be a practical approach for a wide variety of Natural Language Processing (NLP) tasks. This course has five lectures on Language Graphs, Graph Clustering, Graph Embeddings, Evaluation, and Crowdsourcing. They elaborately go through the corresponding algorithms step-by-step and suggest important linguistic datasets. The target audience of this course is advanced graduate students, data analysts, and researchers in NLP and IR (but it is not limited to them). The course is held online in Spring 2021 at Computer Science Club in Saint Petersburg, Russia: https://compsciclub.ru/en/courses/graphscomplang/2021-spring/. Lectures are in Russian, but the slides are in English. ... : {"references": ["Agirre, E., L\u00f3pez de Lacalle, O., Soroa, A.: Random Walks for Knowledge-Based Word Sense Disambiguation. Computational Linguistics. 40, 57\u201384 (2014). https://doi.org/10.1162/COLI_a_00164.", "von Ahn, L., Dabbish, L.: Labeling Images with a Computer Game. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. pp. 319\u2013326. ACM, Vienna, Austria (2004). https://doi.org/10.1145/985692.985733.", "von Ahn, L., Dabbish, L.: Designing Games with a Purpose. Communications of the ACM. 51, 58\u201367 (2008). https://doi.org/10.1145/1378704.1378719.", "von Ahn, L., Maurer, B., McMillen, C., Abraham, D., Blum, M.: reCAPTCHA: Human-Based Character Recognition via Web Security Measures. Science. 321, 1465\u20131468 (2008). https://doi.org/10.1126/science.1160379.", "Alonso, O.: The Practice of Crowdsourcing. Morgan & Claypool Publishers (2019). https://doi.org/10.2200/S00904ED1V01Y201903ICR066.", "Alonso, O., Rose, D.E., Stewart, B.: Crowdsourcing for Relevance ...
|
|
Keyword:
Bradley-Terry; Centrality; Chinese Whispers; Classification Evaluation; Clustering Evaluation; Co-occurrence Graphs; Crowdsourcing; Dawid-Skene; DeepWalk; Evaluation; Games with a Purpose; Graph Clustering; Graph Convolutional Network; Graph Embeddings; Graph Theory; GraphSAGE; Inter-Rater Agreement; Language Graphs; Laplacian Eigenmaps; Louvain; Markov Clustering; Matrix Representations; MaxMax; Microtasks; Natural Language Processing; Network Science; PageRank; Power Method; Quality Assessment; Quality Control; Ranking Evaluation; reCAPTCHA; Representation Learning; Semantic Networks; Sparse Matrix; Spectral Clustering; Statistical Testing; TextRank; Tutorial; Watset; Wikipedia; Wisdom of the Crowds; Word2Vec
|
|
URL: https://zenodo.org/record/4291120
https://dx.doi.org/10.5281/zenodo.4291120
|
|
BASE
|
|
Hide details
|
|
|
| 20 |
RefWUG: Diachronic Reference Word Usage Graphs for German ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
