towards robust animacy classification

... Trang 1Creating Robust Supervised Classifiers via Web-Scale N-gram DataShane Bergsma University of Alberta sbergsma@ualberta.ca ... data is not plentiful, we show that using web-scale N-gram features is essen-tial for achieving robust performance 1 Introduction Many NLP systems use web-scale N-gram counts (Keller and Lapata, ... when used uncustomized, out-of-the-box on new domains, and how can we best design our systems for robust open-domain performance? Our results show that using web-scale N-gram data in supervised

Ngày tải lên: 20/02/2014, 04:20

... correction of format and style, but also of accuracy of the text Therefore it only represents a bias towards fluency edits We extract unlabeled edits whose comment is equal to one of the keywords and ... classified as fluency ed-its The classification of edits whose comment is “copyedit” is biased towards fluency edits, but as expected the result is less distinct The classifica-tion of the random

Ngày tải lên: 22/02/2014, 03:20

... approach to the classification of CRC should accelerate understanding of causation and will impact on clinical management in the areas of both prevention and treatment Keywords: cancer, classification, ... proposed classification remains speculative, it has the advantage of conveying powerful meaning through the synthesis of clinical, pathological and molecular features An exclusively molecular classification ... microsatellite unstable colorectal cancer Am J Clin Pathol 2003; 119; 773–775 23 Jass JR Towards a molecular classification of colorectal cancer Int J Colorectal Dis 1999; 14; 194–200 24 Young J,

Ngày tải lên: 22/03/2014, 17:20

... multicopper oxidases (MCOs) from fungi, insects, plants, and bacteria provided the basis for a refined classification of this enzyme family into laccases sensu stricto (basidiomyc-etous and ascomyc(basidiomyc-etous), ... metabolism has been proposed [32] Laccases have only recently been discovered in bac-teria and their classification and function are still con-troversial The first report of a bacterial laccase was from ... similarity and phylo-genetic analysis until specific physiological functions are defined They presented a classification of plant LMCO sequences and, together with expression pro-files, provided strong evidence

Ngày tải lên: 23/03/2014, 11:20

... records the num-ber of times two words co-occur within a single win-dow of word tokens Moreover, robust weighting schemas are used to smooth counts against too fre-quent co-occurrence pairs: Pointwise ... we define our models based on previous work on LSA and SPTKs 3.1 LSA as lexical similarity model Robust representations can be obtained through intelligent dimensionality reduction methods In LSA ... Publishers, San Francisco, US. Danilo Croce, Cristina Giannone, Paolo Annesi, and Roberto Basili 2010 Towards open-domain semantic role labeling In Proceedings of the 48th Annual Meet-ing of the Association

Ngày tải lên: 23/03/2014, 14:20

... Trang 1Towards robust multi-tool tagging An OWL/DL-based approachChristian Chiarcos University of Potsdam, ... application of multiple NLP tools and the integration of their results improves the correctness and robustness of the resulting analysis It is shown how annotations created by seven NLP tools are ... mul-tiple alternative analyses has the potential to pro-duce linguistic analyses that are both more robust and more detailed than those of the original tools The primary field of application of this

Ngày tải lên: 23/03/2014, 16:20

... the cross-language text classification problem reduces to a standard classification problem in the cross- lingual space. Note that the existing methods for cross-language text classification can be ... The solution of such problems requires the transfer of classification knowledge between two languages. Stated precisely: We are given a text classification task γ in a target lan- guage T for which ... task, or a sentiment classification task. In addition, we are given labeled documents for the identical task in a different source language S. Such type of cross-language text classification problems

Ngày tải lên: 23/03/2014, 16:20

... for every member in a family, thus support-ing the present classification We also find a good correlation between the present family classification and the function(s) among families for which a ... (HMMs) to obtain a sequence-based subdivision of the SDR superfamily that allows for automatic classification of novel sequence data and provides the basis for a nomenclature system Results and ... families are only found among bacteria, where the ‘classical’ SDR type is most prominent The HMM-based classification is used as a basis for a sustainable and expandable nomenclature system Abbreviations

Ngày tải lên: 29/03/2014, 09:20

... candidate per NPI context While there are counterexamples, this assumption is in prac-tice very robust, and is a useful constraint for our learning algorithm An analogy can be drawn to the one ... likelihood is increasing The reason is that unsupervised EM learning is not constrained or biased towards learning a good set of DEOs Rather, a higher data likelihood can be achieved simply by assigning ... of plausible DEO candi-dates there are in an NPI context, and a method that refines the scores towards having only one such plausible candidate per context To this end, we define the classification

Ngày tải lên: 31/03/2014, 20:20

... {jcabessa,avilla}@nhrg.org Abstract We provide a refined hierarchical classification of first-order recurrent neural networks made up of McCulloch and Pitts cells The classification is achieved by first proving the equivalence ... Muller automata, and then translating the Wadge classification theory from the automata-theoretic to the neural network context The obtained hierarchical classification of neural networks consists of ... neural networks made up of Mc-Culloch and Pitts cells, and provide a refined classification of the networks of this class The classification is achieved by first proving the equivalence between the expressive

Ngày tải lên: 28/04/2014, 09:49

... transfer of information in biological systems on the one side and in artificial devices on the other Towards this purpose, much interest has been focused on comparing the computational capabilities ... expressive power ofω-ARNNs equipped with any kind of Borel accepting condition can easily be obtained Towards this purpose, for any Borel set F ⊆ {0,1}ω, we say thatNis a deterministicω-ARNN with accepting

Ngày tải lên: 28/04/2014, 09:49

... propose a new bioinspired approach for the optimization of the filterbanks, in order to find a robust speech representation Our approach—which relies on evolutionary algorithms—reduces the number ... is able to find optimized filterbanks for phoneme recognition, which significantly increases the robustness in adverse conditions 1 Introduction Most current speech recognizers rely on the traditional ... for speech recognition are the mel-frequency cep-stral coefficients, which provide greater noise robustness in comparison to the linear-prediction-based feature extraction techniques, but even

Ngày tải lên: 21/06/2014, 07:20

... 5 dBm The motion of each subject was recorded for 20 seconds, with the person moving forwards (towards the radar) and backwards When a person is walking, various components of the body, such ... positive and a negative Doppler, and the leg motion generates positive Doppler for a subject moving towards the radar and a negative Doppler for a subject moving backwards facing the radar [12] Figure ...  In addition to motion energy extraction, the proposed classification model is designed to be robust to small translations and geometric distortions in the input image This is achieved by reducing

Ngày tải lên: 21/06/2014, 16:20

... with challenges involved with iris segmentation, a great progress towards handling noisy and low contrast iris images However, a robust feature extraction technique capable of handling degraded ... method’s robustness against degrading effects of the suggest a feature extraction method based on the wavelet decomposed iris images Although not reliant on texture details and thus giving a robust ... partially occluded iris images (ii) Compensating for the eye rotation and deformation (iii) Developing robust feature extraction strategies to (iv) Detecting the eyelids and eyelashes, and assessing

Ngày tải lên: 21/06/2014, 16:20

... modification to the original data trying to, at the same time, satisfy other bindings such as capacity and robustness What is important to highlight, beyond the way all these issues are achieved, it is that ... image and to possibly decide to resort to the uncorrupted version in a second time if needed Trang 2Robust Fragile Reversible Figure 1: Categorization of reversible watermarking techniques Reversible ... Within this last category can also be included a restricted set of techniques that can be defined as robust which are able to cope with intentional attacks such as filtering, partial cropping, JPEG

Ngày tải lên: 21/06/2014, 17:20

... respectively, and quick adjustment to alternating speech/music sections In addition to its accuracy and robustness, the algorithm can be easily adapted to different audio types, and is suitable for real-time ... algorithm proposed here answers all these require-ments: on one hand, it is highly accurate and robust, and on the other hand, simple, efficient, and adequate for real-time implementation It achieves ... segment as speech or music is carried out Various post-decision techniques are applied to improve the robustness of the classification Our test database consisted of 12+ hours of speech and 20+ hours

Ngày tải lên: 21/06/2014, 20:20

... exponential family model and 1-SVMs to approximate the generalized likelihood ratio, thus increasing robustness and allowing detecting events close to each others For the sound classification task, ... model selection using Bayesian information criterion (BIC) [20] Our objective is to develop a new robust unsupervised sound detection technique based on a new 1-SVMs-based algorithm that uses the ... , Py(z) = h(z) exp  η y(·),k(z, ·) H− A η y (14) Using 1-SVM and the exponential family, a robust approximation of the maximum likelihood estimates of the densitiesPxandPycan be written as

Ngày tải lên: 21/06/2014, 22:20

... vector machines (SVMs) are surely one of the most used kernel learning algorithms They perform robust nonlinear classification of samples using the kernel trick The idea is to find a separating ... Center data set That may be an indication that more information is extracted and the KPCA is more robust to the noise, since a reasonable number of features are extracted from the Washington DC ... KPCA can extract more information from the hyperspectral data than the conventional PCA, and is robust to the noise that can affect remote sensing data The next question is: Is this information

Ngày tải lên: 21/06/2014, 22:20

... characterized by viewpoint invariant descriptors [5] This image representation, based on patches, robust with respect to partial occlusion, clutter, and changes in viewpoint and illumination, has ... information of images, and was shown to perform best in terms of specificity of region representation and robustness to image transformations [37] SIFT features are local histograms of edge directions computed

Ngày tải lên: 22/06/2014, 00:20

... posture tracking and classification based on a stereo vision sensor The system provides both a robust way to segment and track people in the scene and 3D information about tracked people The ... track human postures, overcome some of the difficulties in posture recognition, and present high robustness to partial occlusions and to different points of view Moreover, the system does not require ... classification technique Moreover, the use of stereo-based tracking guarantees a high degree of robustness also to illumination changes, shadows, and reflections, thus making the system applicable

Ngày tải lên: 22/06/2014, 06:20