Additionally, by testing the learned model on a dataset of recent news (from May 2011), we obtained even lower accuracy, meaning that the training corpus did not have enough new information to build a reliable model. We will present this data and results in Section 6. The solution for ...
mation.Machinelearningcommunityhasinpartaddressedthisproblembydevelopinghierarchicalsupervisedclassifiersthathelpmaintainerstocategorizenewresourceswithingivenhierarchies.Althoughsuchlearningmodelssucceedinexploitingrelationalknowledge,theyarehighlydemand-ingintermsoflabeledexamples,becausethenumberofcategoriesisrelatedtothe...
including any subsequent correction. Any definitions expressly set forth herein for terms contained in such claims shall govern the meaning of such terms as used in the claims. Hence, no limitation, element, property, feature, advantage or attribute that is not expressly recited in a claim should...
AspNet is constructed through an unsupervised learning method that starts from a small number of human-defined, domain-dependent aspects, and bootstraps generalization and propagation in a large volume of raw reviews. In summary, the major contributions of this work are twofold: Firstly, the ...
The next step is to understand the meaning of this additional restriction in terms of expressiveness of the resulting homomorphic circuits. It is clear that we cannot build a random boolean circuit, and just apply the noise recurrence formula from Theorem 5.2 or Corollary 5.3 to get the output ...
(Baker, Fillmore, & Lowe 1998) has played a central role in this enterprise. In FrameNet, meaning is represented by frames, i.e., schematic representations of situations. Seman- tic roles are frame-specific, and are called frame elements. The database associates frames with lemmas (verbs...
We repeated the 5-fold CV 20 times, meaning that final accuracies were computed from 100 models. Before each repetition, the dataset was randomly shuffled and new folds were generated to increase the robustness of the models. Unlike CV, in bootstrapping, the original data were randomly ...
On the other hand, we compute semantic similarities between tags and between resource type, app category and device type values, as they have a clear semantic meaning for the user. Semantic measures can be broadly divided among knowledge-based, distributional and hybrid semantic measures. Among ...