[PDF] Top 20 The S Space Package: An Open Source Package for Word Space Models
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The S Space Package: An Open Source Package for Word Space Models
... Word space algorithms consist of the same core algorithmic steps: word features are extracted from a corpus and the distribution of these features is used as a basis for semantic ... See full document
6
Determining Compositionality of Word Expressions Using Word Space Models
... We built LSA WSM and applied the component- based method to Disco-En-Gold. We used our own modification of the LSA algorithm originally implemented in the S-Space package (Jurgens and Stevens, 2010). ... See full document
9
The Construction and Evaluation of Word Space Models
... As anticipated, the correlation figures in this table lie much lower than those we referred to above. One reason for this lies in the difficulty of the task, another in the fact that Dutch EuroWordNet is a less ... See full document
7
Measuring Word Relatedness Using Heterogeneous Vector Space Models
... entailment, word sense disambiguation, in- formation retrieval and automatic thesaurus discov- ...vector space models (VSMs) constructed with the help of a large collection of text (Reisinger and ... See full document
5
PyFolding: an open source software package for graphing, simulation and analysis of the biophysical properties of proteins
... calculations. Models are represented as functions that can be associated with the data objects you wish to ...multiple models and vice versa enabling automated fitting and evaluation ...(non-Ising) ... See full document
17
Semantic Vectors: a Scalable Open Source Package and Online Technology Management Application
... vector models in- clude clustering and visualization [Widdows, 2004, Ch 6], and there is some excitement about using these technolo- gies to enable the linking and bundling of complementary ... See full document
8
A comparison of CK and martin’s package metric suites in predicting package reusability in open source object oriented software
... regression models were constructed, using different combinations of the three metric suites, and tested across releases of ...prediction models that include subset of Martin metrics achieved competitive ... See full document
38
Evaluation of dynamic measurement uncertainty – an open-source software package to bridge theory and practice
... function models to frequency response data with associated uncertainties, the propagation of the uncer- tainty associated with dynamic quantities of high dimension- ality, sub-sampling and interpolation of dynamic ... See full document
9
Bradley Terry models in R : the BradleyTerry2 package
... Publisher statement: The Journal of Statistical Software has chosen to apply the Creative Commons Attribution License to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright ... See full document
22
Comparative evaluation of open source digital library packages
... of open access ...of open source repository ...different open access models, open source philosophy and some of the expectations from a digital library package and ... See full document
14
An Open Source Package for Recognizing Textual Entailment
... As regards the RTE Challenges, in the last years EDITS has been used to participate both in the PASCAL/TAC RTE Campaigns for the En- glish language (Mehdad et al., 2009), and in the EVALITA RTE task for Italian (Cabrio ... See full document
6
Bayesian accrual prediction for interim review of clinical studies: open source R package and smartphone application
... accrual models include uncon- ditional and conditional model, Poisson-based models, Brownian-motion-based models, and Bayesian models [4, ... See full document
8
ParsCit: an Open-source CRF Reference String Parsing Package
... The limitations of the template-based approach have en- couraged researchers to try supervised machine learned models for citation parsing. Given sufficient training data, a machine-learned parser can produce high ... See full document
7
A good space: Lexical predictors in word space evaluation
... newspaper texts. On the contrary, lexical measures, previ- ously most often used for readability studies, can be used to describe text features in a more fine grained way than for instance genre. Such lexical measures ... See full document
6
Linear State-Space Models for Blind Source Separation
... blind source separation (BSS) in which unknown source signals are estimated from noisy ...general models and estimation schemes; most current work is highly application specific with the majority ... See full document
18
Biodegradable Package – Innovative Purpose or Source of the Problem
... 4. The conducted analyses also showed the var- ied nature of changes in the composition of plastics, depending on the UV irradiation con- ducted. Some of the metals tested (chromium, lead, nickel) occurred in smaller ... See full document
10
Multi Prototype Vector Space Models of Word Meaning
... each method (top word), the multi-prototype pre- diction is chosen significantly more frequently (i.e. the result is above 0.5) when the number of clus- ters is small, but the two methods perform sim- ilarly for ... See full document
9
PhagoSight: an open-source MATLAB® package for the analysis of fluorescent neutrophil and macrophage migration in a zebrafish model
... an open policy under the GNU General Public License, with three main ...software package that will be improved iteratively. Thirdly, open access software allows independent replication and ... See full document
12
MAISE: A Flexible, Configurable, Extensible Open Source Package for Mass AI System Evaluation
... MAISE’s source code, in- structions, documentation, and a ...an open-source tool, licensed under the terms of the GNU Lesser General Public License ... See full document
5
C20 1601 9 1401 pgmCatApr69 pdf
... BASIC PROGRAM PACKAGE DOCUMENTATION - Write-up MACHINE READABLE - Appropriate material delivered.. OPTIONAL PROGRAII ,PACKAGE DOCUMENTATION - None MACHINE READABLE - Source code..[r] ... See full document
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