Search Results - Logic programming. Natural language processing (Computer science) Data mining.

MASS-CSP: mining with answer set solving for contrast sequential pattern mining by Sterlicchio, Gioacchino, Lisi, Francesca Alessandra

“…), a declarative approach to the Contrast Sequential Pattern Mining (CSPM) task, which is based on the logic-based framework of Answer Set Programming (ASP…”
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Toward Artificial Argumentation by Atkinson, Katie, Baroni, Pietro, Giacomin, Massimiliano, Hunter, Anthony, Prakken, Henry, Reed, Chris, Simari, Guillermo, Thimm, Matthias, Villata, Serena

“…The field of computational models of argument is emerging as an important aspect of artificial intelligence research. The reason for this is based on the…”
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Efficient deep neural unification in symbolic processing by Honda, Hiroshi, Hagiwara, Masafumi

“… Symbolic processing in conventional artificial intelligence has strong inference abilities but is not well suited for handling large amounts of ambiguous data…”
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Integrating AI with Meta-Language: An Interdisciplinary Framework for Classifying Concepts in Mathematics and Computer Science by Kramer, Elena, Lamberg, Dan, Georgescu, Mircea, Weiss Cohen, Miri

“… The primary objective of this research is to identify which subfields of Mathematics and Computer Science share similar meta-languages…”
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Interactive Text Graph Mining with a Prolog-Based Dialog Engine by TARAU, PAUL, BLANCO, EDUARDO

“…On top of a neural network-based dependency parser and a graph-based natural language processing module, we design a Prolog-based dialog engine that explores interactively a ranked fact database…”
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Robust Argumentation Machines: First International Conference, RATIO 2024, Bielefeld, Germany, June 5–7, 2024, Proceedings by Cimiano, Philipp, Frank, Anette, Kohlhase, Michael, Stein, Benno

“… They were organized in topical sections as follows: Argument Mining; Debate Analysis and Deliberation…”
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Fast relational learning using bottom clause propositionalization with artificial neural networks by França, Manoel V. M., Zaverucha, Gerson, d’Avila Garcez, Artur S.

“… Inductive Logic Programming (ILP) performs relational learning either directly by manipulating first-order rules or through propositionalization, which translates the relational task into an attribute-value learning task…”
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Finding relational redescriptions by Galbrun, Esther, Kimmig, Angelika

“… Compared to a baseline Inductive Logic Programming (ILP) approach, our query miner is able to mine more complex queries, much faster…”
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Computer Vision and Deep Learning for Precision Viticulture by Mohimont, Lucas, Alin, François, Rondeau, Marine, Gaveau, Nathalie, Steffenel, Luiz Angelo

“… This article aims to summarize the existing research associated with computer vision and viticulture…”
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Unleashing textual descriptions of business processes by Sànchez-Ferreres, Josep, Burattin, Andrea, Carmona, Josep, Montali, Marco, Padró, Lluís, Quishpi, Luís

“… Unfortunately, the value of this rich data source is hampered by the challenge of analyzing unstructured information…”
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Online probabilistic theory revision from examples with ProPPR by Guimarães, Victor, Paes, Aline, Zaverucha, Gerson

“…Handling relational data streams has become a crucial task, given the availability of pervasive sensors and Internet-produced content, such as social networks and knowledge graphs…”
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Knowledge representation analysis of graph mining by van der Hallen, Matthias, Paramonov, Sergey, Janssens, Gerda, Denecker, Marc

“… We look at the graph mining problem from a Knowledge Representation point of view, hoping to learn something about support for higher-order logics in declarative languages and solvers…”
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Language Technologies for the Challenges of the Digital Age: 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings by Rehm, Georg, Declerck, Thierry

“…semantics; artificial intelligence; natural language processing systems; natural language processing; NLP; machine learning; social networking; named entities…”
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Relational data factorization by Paramonov, Sergey, van Leeuwen, Matthijs, De Raedt, Luc

“…Motivated by an analogy with matrix factorization, we introduce the problem of factorizing relational data…”
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Probabilistic and exact frequent subtree mining in graphs beyond forests by Welke, Pascal, Horváth, Tamás, Wrobel, Stefan

“… Although the restriction of the pattern language to trees does not resolve the computational complexity of frequent subgraph mining, in a recent work we have shown that it gives rise to an algorithm…”
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Natural Language Processing: Emerging Neural Approaches and Applications

“…This Special Issue highlights the most recent research being carried out in the NLP field to discuss relative open issues, with a particular focus on both emerging approaches for language learning…”
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Recent advances in mining patterns from complex data by Appice, Annalisa, Ceci, Michelangelo, Loglisci, Corrado, Manco, Giuseppe, Masciari, Elio

“…Issue Title: Recent advances in mining patterns from complex data…”
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ALSI-Transformer: Transformer-Based Code Comment Generation With Aligned Lexical and Syntactic Information by Park, Youngmi, Park, Ahjeong, Kim, Chulyun

“… Therefore, developing methods that automatically generate natural language comments from programming code is required…”
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Compressing probabilistic Prolog programs by De Raedt, L., Kersting, K., Kimmig, A., Revoredo, K., Toivonen, H.

“… 2468–2473, 2007 ). A ProbLog program defines a distribution over logic programs by specifying for each clause the probability that it belongs to a randomly sampled program, and these probabilities are mutually independent…”
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Policy-based memoization for ILP-based concept discovery systems by Mutlu, Alev, Karagoz, Pinar

“…Inductive Programming Logic (ILP)-based concept discovery systems aim to find patterns that describe a target relation in terms of other relations provided as background knowledge…”
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