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[PDF] Top 20 Extending wordnets by learning from multiple resources

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Extending wordnets by learning from multiple resources

Extending wordnets by learning from multiple resources

... straightforward resources to obtain lexical knowledge for the language in question are machine-readable bilingual ...Entries from the dictionary are linked to PWN synsets under the assumption that their ... Voir le document complet

6

Learning Subjectivity Phrases missing from Resources through a Large Set of Semantic Tests

Learning Subjectivity Phrases missing from Resources through a Large Set of Semantic Tests

... Table 4: Objective terms and subjective terms classification results in comparison with 1,500 terms classified by human-judges. Results shows that even if recall measure of subjective terms is quite low (Figure 1 ... Voir le document complet

8

Extending Approximate Bayesian Computation with Supervised Machine Learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest

Extending Approximate Bayesian Computation with Supervised Machine Learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest

... estimated by massive ...computational resources, and (ii) the substantial increase in the number of nonindependent statistics used to extract information from the genetic data (an issue also valid ... Voir le document complet

17

Building a free French wordnet from multilingual resources

Building a free French wordnet from multilingual resources

... law from the Fr-Ro-Cs-Bg-En lexicon 7 ...(apart from the French one, of course) by comparing it with the corresponding BalkaNet wordnet (Tufis ...BalkaNet wordnets use the same synset ids as ... Voir le document complet

7

Learning Multiple Markov Chains via Adaptive Allocation

Learning Multiple Markov Chains via Adaptive Allocation

... a learning strategy, T k,n typically depends on all past ...one from extending the approach therein to other ...avoided by resorting to a high probability ...deviate from using an ... Voir le document complet

30

Towards improving teaching and learning of algorithmics by means of resources design: a case of primary school education in France

Towards improving teaching and learning of algorithmics by means of resources design: a case of primary school education in France

... usage by a ...starting from the moment when a generic pupil is confronted with a material environment (milieu), ...starts from the confrontation of a teacher with a construction milieu in an ... Voir le document complet

10

Cleaning noisy wordnets

Cleaning noisy wordnets

... and extending wordnets, which have become very popular in the past decade, inadvertently result in noisy ...developed wordnets, so that they become more useful lexico-semantic resources for ... Voir le document complet

6

From Language to Motor Gavagai: Unified Imitation Learning of Multiple Linguistic and Non-linguistic Sensorimotor Skills

From Language to Motor Gavagai: Unified Imitation Learning of Multiple Linguistic and Non-linguistic Sensorimotor Skills

... exploit multiple guiding modalities for motor learning have been so far ...used by the teacher were all pre-programmed and known by the learner in advance, and language was explicitly used as ... Voir le document complet

21

Responses of nectar-feeding birds to floral resources at multiple spatial scales

Responses of nectar-feeding birds to floral resources at multiple spatial scales

... distance from the flowering peak, plant size, and a set of plant functional traits, while treating site identity and species identity as random ...predictions from the second and third model to estimate the ... Voir le document complet

12

Learning Surfaces by Probing

Learning Surfaces by Probing

... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Futurs : Parc Club Orsay Université - ZAC des Vi[r] ... Voir le document complet

25

Convex learning of multiple tasks and their structure

Convex learning of multiple tasks and their structure

... concepts from the theory of reproducing kernel Hilbert spaces for vector-valued functions (RKHSvv) and corresponding regularization theory, which plays a key role in our ... Voir le document complet

27

Learning by mirror averaging

Learning by mirror averaging

... aggregate by a simple recursive procedure which solves an auxiliary stochastic linear programming problem related to the original non-linear one and constitutes a special case of the mirror averaging ... Voir le document complet

18

Improvement of VerbNet-like resources by frame typing

Improvement of VerbNet-like resources by frame typing

... program from one language to another? We cannot currently answer this question since, as far as we know, French is the only language for which there is a typing program, however we do have some ...clear ... Voir le document complet

11

Learning the Graph of Relations Among Multiple Tasks

Learning the Graph of Relations Among Multiple Tasks

... simultaneously learning the tasks and the relations among them. We start from a Laplacian regularization framework by [15], demonstrate its drawbacks and show how it can be suitably modified for our ... Voir le document complet

17

Extending OpenAPI 3.0 to Build Web Services from their Specification

Extending OpenAPI 3.0 to Build Web Services from their Specification

... building from a high-level to a low-level, and the latter must promote good stability, maintainability and ...used by developers writing consumer applications or by these consumer applications if ... Voir le document complet

9

Closing the loop : improving technology transfer by learning from the past

Closing the loop : improving technology transfer by learning from the past

... Based on the qualitative interview and survey results, the following recommendations were made on how pharmaceutical companies can improve the likelihood of successful te[r] ... Voir le document complet

57

2017 — Multiple instance learning under real-world conditions

2017 — Multiple instance learning under real-world conditions

... Related publications: Robust Multiple-Instance Learning Ensembles Using Random Subspace Instance Selection published in Elsevier’s Pattern Recognition, 2016 Witness Identification in Mult[r] ... Voir le document complet

271

Learning and Teaching EFL through Multiple Intelligences Theory

Learning and Teaching EFL through Multiple Intelligences Theory

... of Multiple Intelligences, every human being possesses distinct and independent intelligences (Gardner, ...different learning styles and teaching strategies and fostering an understanding of MI theory ... Voir le document complet

90

Classification of Multiple Sclerosis Lesions using Adaptive Dictionary Learning

Classification of Multiple Sclerosis Lesions using Adaptive Dictionary Learning

... dictionary learning and sparse coding is performed with the use of SPArse Modeling Software (SPAMS) package ...varied from 1K to 30K, depending on the lesion load for the corresponding patient, whereas the ... Voir le document complet

18

Decoding intracranial EEG data with multiple kernel learning method

Decoding intracranial EEG data with multiple kernel learning method

... New method: In the present work, we introduce a novel approach to determine the contribution of differ- ent bandwidths of EEG signal in different recording sites across different experimental conditions using the ... Voir le document complet

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