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Using DEDICOM for Completely Unsupervised Part-of-Speech Tagging

NAACL HLT 2009 - Unsupervised and Minimally Supervised Learning of Lexical Semantics, Proceedings of the Workshop

Chew, Peter A.; Bader, Brett W.

A standard and widespread approach to part-of-speech tagging is based on Hidden Markov Models (HMMs). An alternative approach, pioneered by Schütze (1993), induces parts of speech from scratch using singular value decomposition (SVD). We introduce DEDICOM as an alternative to SVD for part-of-speech induction. DEDICOM retains the advantages of SVD in that it is completely unsupervised: no prior knowledge is required to induce either the tagset or the associations of types with tags. However, unlike SVD, it is also fully compatible with the HMM framework, in that it can be used to estimate emission- and transition-probability matrices which can then be used as the input for an HMM. We apply the DEDICOM method to the CONLL corpus (CONLL 2000) and compare the output of DEDICOM to the part-of-speech tags given in the corpus, and find that the correlation (almost 0.5) is quite high. Using DEDICOM, we also estimate part-of-speech ambiguity for each type, and find that these estimates correlate highly with part-of-speech ambiguity as measured in the original corpus (around 0.88). Finally, we show how the output of DEDICOM can be evaluated and compared against the more familiar output of supervised HMM-based tagging.

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Dispersion and attenuation for the anelastic velocity-memory-stress system

79th Society of Exploration Geophysicists International Exposition and Annual Meeting 2009, SEG 2009

Aldridge, David F.; Preston, Leiph

Dispersion and attenuation relations are derived for both the continuous and discrete velocity-memory-stress systems governing 3D anelastic wave propagation in a standard linear solid. Phase speed and attenuation factor curves extracted from these relations enable optimal selection of spatial and temporal gridding intervals to achieve finite-difference algorithm efficiency, while simultaneously minimizing numerical inaccuracy.

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Poly(phenylene)-based anion exchange membranes for alkaline fuel cells

ECS Transactions

Hibbs, M.R.; Fujimoto, Cy; Cornelius, C.J.

Cationic polymer membranes that conduct free anions comprise an enabling research area for alkaline membrane fuel cells and other solid-state electrochemical devices that operate at high pH. The synthesis of anion exchange membranes based on a poly(phenylene) backbone prepared by a Diels-Alder reaction is demonstrated as a potential material for alkaline fuel cells. The poly(phenylene)s have benzylic methyl groups that are converted to bromomethyl groups by a radical reaction. Cationic polymers result from conversion of the bromomethyl groups to ionic moieties by quaternization with trimethylamine in the solid state. The conversion to benzyltrimethyl ammonium groups is incomplete as evidenced by the differences between the IEC values measured by titration and the theoretical IECs based on 1H NMR measurements. The anion exchange membranes formed from these polymers have hydroxide ion conductivities as high as 50 mS/cm in liquid water and they are stable under highly basic conditions at elevated temperatures. ©The Electrochemical Society.

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Results 75976–76000 of 99,299
Results 75976–76000 of 99,299