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NEGATIVE DATA IN LEARNING LANGUAGES
2006
Mathematical Logic in Asia
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We primarily concentrate on learning using (1) carefully chosen finite negative data (2) negative counterexamples provided when conjectures contain data not in the target language (3) negative counterexamples ...
obtained from a teacher (formally, oracle), when a learner queries the oracle if an hypothesis is contained in the target language. ...
Some Notions from Language Learning We now consider some basic notions in language learning. Following definition gives the concepts of data that is presented to a learner. ...
doi:10.1142/9789812772749_0008
fatcat:vmp4mijsnjd2lkjhwij26iimfm
Inductive Logic Programming: Issues, results and the challenge of Learning Language in Logic
1999
Artificial Intelligence
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The area of Learning Language in Logic (LLL) is producing a number of challenges to existing ILP theory and implementations. ...
In the natural language area ILP has not only been shown to have higher accuracies than various other ML approaches in learning the past tense of English but also shown to be capable of learning accurate ...
Acknowledgements The author would like to thank the following people who collaborated on research described in this paper: Mike Sternberg, Steve Pulman, Donald Michie, David Haussler, Ross King, David ...
doi:10.1016/s0004-3702(99)00067-3
fatcat:6fbihina7zba3neogm7knq45qe
KILLE: learning grounded language through interaction
2017
European Summer School in Logic, Language and Information
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We present our system called KILLE and provide a proof-ofconcept evaluation of interactive situated learning of object categories and spatial relations. ...
Processing language in interaction also presents challenges from the computational perspective as it is often not trivial to employ existing language technology tools and (machine learning) algorithms, ...
To address both issues we have developed a framework for situated agents that learn grounded language incrementally and online with a help of human tutor called KILLE 3 (Kinect Is Learning LanguagE). ...
dblp:conf/esslli/DobnikG17
fatcat:v4ylijqaaffppcqtojwduy4enu
A Declarative Modeling Language for Concept Learning in Description Logics
[chapter]
2013
Lecture Notes in Computer Science
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Learning in Description Logics (DLs) has been paid increasing attention over the last decade. ...
In this paper we present a declarative modeling language for Concept Learning in DLs which relies on recent results in the fields of Knowledge Representation and Machine Learning. ...
Acknowledgements The author would like to thank Luc De Raedt for the fruitful discussion on the open issues of declarative modeling for ML/DM, not only in general but also in the specific case of interest ...
doi:10.1007/978-3-642-38812-5_11
fatcat:lzctzmztybch3bopzrxhrlqp4y
Modality: logic, semantics, annotation and machine learning
2016
Linguistic Issues in Language Technology
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Up to rather recently Natural Language Processing has not given much attention to modality. ...
As long as the main task was to determined what a text was about (Information Retrieval) or who the participants in an eventuality were (Information Extraction), this neglect was understandable. ...
This makes it possible to exploit translations as a means to disambiguate modal verbs in one language via the sense of a modal expression in another language for which there are parallel corpora. ...
doi:10.33011/lilt.v14i.1393
fatcat:2cse6e5qejah3od4adrjqltcua
Feature economy vs. logical complexity in phonological pattern learning
2017
Language Sciences
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In a learning experiment, participants acquired data sets that varied in feature economy and logical complexity. ...
inventories in spoken language. ...
Conclusion and discussion In a learning experiment, the roles of two measures of complexity in language acquisition were probed: feature economy and logical complexity. ...
doi:10.1016/j.langsci.2016.10.002
fatcat:udyl4vc5bjdzzikru5wrio4y74
Learning Regular Languages over Large Ordered Alphabets
2015
Logical Methods in Computer Science
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We then extend Angluin's L* algorithm for learning regular languages from examples for such automata. ...
We sketch the extension of the algorithm to a class of languages over partially ordered alphabets. ...
Learning Languages over Ordered Alphabets In this section we present a symbolic learning algorithm starting with an intuitive verbal description. ...
doi:10.2168/lmcs-11(3:13)2015
fatcat:ttup7brkczfafku3ptwvjuxiju
The Effectiveness of Language Used in E-Learning Courses
2017
Studies in Logic, Grammar and Rhetoric
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The notion of language in e-Learning is still not very clear from a technical as well as semantic point of view. ...
With a laptop, a mobile device and Wi-Fi, you can manage your own e-Learning course, and take courses yourself, at any time and place, in any language. ...
This stage of "learning by doing" was described by Castells (2003) . Castells shows that the Internet is a communication medium with its own logic and its own language. ...
doi:10.1515/slgr-2017-0051
fatcat:onv2syo5hjej5aafcfoiclcra4
Fuzzy Logic Based Teaching/Learning of a Foreign Language in Multilingual Situations
2017
Acta Linguistica Asiatica
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A multilingual situation poses a similar challenge for a language teacher/learner where languages exist in continuum. ...
The concept of Fuzzy Logic (FL) has gained momentum in areas of artificial intelligence and allied researches because of its absolute ability to present efficient solutions to real life problems. ...
This paper tries to advocate the adoption of a very revolutionary approach of Fuzzy Logic in the teaching/ learning of languages. ...
doi:10.4312/ala.7.2.71-84
fatcat:e7qcsziupje53gfa3etq3emax4
Bidirectional Optimization from Reasoning and Learning in Games
2011
Journal of Logic, Language and Information
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reasoning and once in a model of reinforcement learning. ...
sufficient conditions for equivalence of bidirectional optimality and the former, and show based on numerical simulations that bidirectional optimization may be thought of as a process of reinforcement learning ...
The cumulative definition of biot has in fact a strong affinity to the ibr logic. ...
doi:10.1007/s10849-011-9151-z
fatcat:wj7neeboijbhpgsudtbexfluda
TEACHING AND LEARNING FOREIGN LANGUAGES FOR LEGAL PURPOSES IN CROATIA
2013
Studies in Logic, Grammar and Rhetoric
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In accordance with the Bologna Declaration, modern languages and communication skills have a growing importance in all professions. ...
First, the status of foreign languages for specific purposes (FLSP) in the Higher Education System of the Republic of Croatia in general is analyzed. ...
By this approach, Content and Language Integrated Learning (CLIL) in the field of law represents a way of learning which "is improved through increased motivation and the study of natural language seen ...
doi:10.2478/slgr-2013-0019
fatcat:dlxrxqdxmzcz5hbaequxv3kshi
A First-Order-Logic Based Model for Grounded Language Learning
[chapter]
2015
Lecture Notes in Computer Science
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Much is still unknown about how children learn language, but it is clear that they perform "grounded" language learning: they learn the grammar and vocabulary not just from examples of sentences, but from ...
We propose a simple model for this task that uses first-order logic representations for contexts and meanings, including a simple incremental learning algorithm. ...
In this paper, we propose a model for grounded language learning that uses a first-order logic representation of contexts and meanings. ...
doi:10.1007/978-3-319-24465-5_5
fatcat:wmf5ooj5m5echi3sg7hhzzzkka
Learning to Automatically Solve Logic Grid Puzzles
2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
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This is the first learning system that can solve logic grid puzzles described in natural language in a fully automated manner. ...
Logic grid puzzle is a genre of logic puzzles in which we are given (in a natural language) a scenario, the object to be deduced and certain clues. ...
for learning to automatically translate a logic problem described in natural language to its ASP counterpart. ...
doi:10.18653/v1/d15-1118
dblp:conf/emnlp/MitraB15
fatcat:irnjau44xrhg3mezm4vprghzky
Learning Distributions over Logical Forms for Referring Expression Generation
2013
Conference on Empirical Methods in Natural Language Processing
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We present a new approach to referring expression generation, casting it as a density estimation problem where the goal is to learn distributions over logical expressions identifying sets of objects in ...
This learning is enabled by a new, multi-stage approximate inference technique that uses a pruning model to construct only the most likely logical forms. ...
Acknowledgements This research was supported in part by the Intel Science and Technology Center for Pervasive Computing, by DARPA under the DEFT program through the AFRL (FA8750-13-2-0019) and the CSSG ...
dblp:conf/emnlp/FitzGeraldAZ13
fatcat:hwhz32k7a5b5xjbqdgcam4cjnq
Learning Logical Structures of Paragraphs in Legal Articles
2011
International Joint Conference on Natural Language Processing
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We present a two-phase framework to learn logical structures of paragraphs in legal articles. ...
This paper presents a new task, learning logical structures of paragraphs in legal articles, which is studied in research on Legal Engineering (Katayama, 2007). ...
An example in natural language 4 is presented in Figure 2 . ...
dblp:conf/ijcnlp/BachNTS11
fatcat:rpy4ta6rejhtlkkgly7jioymoa
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