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pro vyhledávání: '"Stephen Beale"'
Autor:
Alessandro Roncone, Stephen Beale, Olivier Magnin, Sergei Nirenburg, Marjorie McShane, Brian Scassellati, Peter Wood
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783319919461
NLDB
NLDB
We present an implemented robotic system that learns elements of its semantic and episodic memory through language interaction with its human users. This human-like learning can happen because the robot can extract, represent and reason over the mean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae90935631445f9b0e746ab3126cc25c
https://doi.org/10.1007/978-3-319-91947-8_8
https://doi.org/10.1007/978-3-319-91947-8_8
Publikováno v:
Lingvisticæ Investigationes. International Journal of Linguistics and Language Resources. 38:73-110
This paper describes, and presents a formal evaluation of, the Ontological Semantic approach to automatically analyzing multiword expressions. It shows how multiword expressions can be lexically recorded and processed in the same way as compositional
Publikováno v:
Artificial Intelligence in Medicine. 55:137-148
Objective: To use the detection of clinically relevant inconsistencies to support the reasoning capabilities of intelligent agents acting as physicians and tutors in the realm of clinical medicine. Methods: We are developing a cognitive architecture,
Publikováno v:
Machine Translation. 19:139-173
This paper describes salient aspects of the OntoSem lexicon of English, a lexicon whose semantic descriptions can either be grounded in a language-independent ontology, rely on extra-ontological expressive means, or exploit a combination of the two.
Autor:
Stephen Beale, Yan Qu
Publikováno v:
Constraints. 7:29-47
In this paper, we present a constraint-based model of cooperative agents for information systems dialogues, with an emphasis on how the agents detect and resolve situations in which the user's information needs have been over-constrained. The constra
Autor:
Stephen Beale
Publikováno v:
The Review of Faith & International Affairs. 9:73-75
Autor:
Stephen Beale
Publikováno v:
Proceedings of the 2014 Workshop on the Use of Computational Methods in the Study of Endangered Languages.
The “D” in “DEL” stands for “documenting” ‐ a code word for linguists that means the collection of linguistic data in audio and written form. The DEL (Documenting Endangered Languages) program run by the NSF and NEH is thus centered aro
Publikováno v:
Linguistic Issues in Language Technology. 10
This paper presents a cognitively-inspired algorithm for the semantic analysis of nominal compounds by intelligent agents. The agents, modeled within the OntoAgent environment, are tasked to compute a full context-sensitive semantic interpretation of
Publikováno v:
ICSC
This paper describes ongoing work in carrying out the semantic analysis of texts and reference resolution in a control structure that permits each process to inform the other, rather than in a more traditional, unidirectional fashion (semantics follo