contextualizing semantic representations using syntactically enriched vector models

... July 2010. c 2010 Association for Computational Linguistics Contextualizing Semantic Representations Using Syntactically Enriched Vector Models Stefan Thater and Hagen Fürstenau and Manfred Pinkal Department ... We go one step further, however, in that we employ syntactically enriched vector models as the basic meaning representations, as- suming a vector space spanned by combinations of dependency relations ... co- occurrence frequencies. It turns out that the benefit to precision is considerable. Using syntactically enriched vector models raises problems of different kinds: First, the use 948 mutual disambiguation,...

Ngày tải lên: 07/03/2014, 22:20

... utility-based models of dis- course coherence outperform each of the individ- ual coherence models considered. In the following section, we describe previously-proposed and new coherence models. Then, ... results and discuss their implications. 2 Stochastic Models of Discourse Coherence 2.1 Local Models of Discourse Coherence Stochastic local models of coherence work under the assumption that well-formed ... first term, , models the probability of changing from topic to topic . The second term, , models the probability of generating sentences from topic . 2.3 Combining Local and Global Models of Discourse...

Ngày tải lên: 20/02/2014, 12:20

... the additional restrictions. We will do this using the increment in the Sargan test statistic (cf. Arellano and Bond, 1991). Tests for Structural Vector Autoregressions In the structural form ... health on household wealth, using the constructed health index which incorp orates all features of health. Table 13 shows the results of a similar dynamic panel data model using separate indicators ... heterogeneity. The reduced form model can be estimated using GMM, based upon moments in first differences: E(∆ε ∗ it |Y t−2 i ) = 0 for t = 2, , T (8) using the reduced form VAR in (2). First-differencing...

Ngày tải lên: 05/03/2014, 18:20

... representation of semantic relations using recursive lexico-syntactic patterns. • An automatic procedure to learn the se- lectional restrictions (arguments and super- types) of semantic relations ... the supertypes of a diverse set of semantic relations from the Web. We evaluate the performance of our algo- rithm on multiple semantic relations ex- pressed using “verb”, “noun”, and “verb prep” ... lexical semantic expressions such as “New York is-a city” and “virus causes flu”. However, using this knowledge in inference requires it to be formulated appropriately and or- ganized in a semantic...

Ngày tải lên: 07/03/2014, 22:20

... var- ious semantic representations have been proposed and used in different parsing systems. Generally speaking, such semantic representations should be capable of embedding shallow semantic information (i.e., ... and resources using different semantic representations very difficult. In this paper, we present a machine learning ap- proach towards mapping between deep and shallow semantic representations. ... even tried to acquire semantic representations without full syntactic analyses. The so-called shal- low semantic parsers build basic predicate-argument structures or label semantic roles that reveal...

Ngày tải lên: 08/03/2014, 01:20

... compilation ª 2011 FEBS MINIREVIEW Natriuretic peptide system: an overview of studies using genetically engineered animal models Ichiro Kishimoto 1,2 , Takeshi Tokudome 1 , Kazuwa Nakao 3 and Kenji Kangawa 1 1 ... knockout animal models. Abbreviations ANP, atrial natriuretic peptide; BNP, brain natriuretic peptide; CNP, C-type natriuretic peptide; GC, guanylyl cyclase; MCIP1, myocyte- enriched calcineurin-interacting ... collagen volume fraction in GC-A-deficient mice compared with the wild-type mice [45]. A further study using microarray analysis and real-time PCR analysis revealed that, in addition to the calcineurin–nuclear...

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Ngày tải lên: 22/06/2014, 06:20

... 40%. The curves for bigram and unigram models have similar shapes, but the trigram models outperform the lower-order models. Error rates for the bigram models range from 37-45% and the unigram ... vocabulary-based semantic measures, it does not capture syntactic information. We believe that higher order n-gram models or class n-gram models can achieve better performance by captur- ing both semantic ... bene- fit of using statistical language models. In this paper, we also use support vector machines to combine features from tradi- tional reading level measures, statistical language models, and...

Ngày tải lên: 20/02/2014, 15:20

Ngày tải lên: 23/03/2014, 17:20

... Activity 6.3: Using Models Exercise 1: Using Models ! Discuss ways that models can be used to relate information • As a class, answer the following questions: a. How do models assist ... requirements? b. How could models be used to describe business processes? c. How can static models be used to relate information about business processes? d. How can dynamic models be used to relate...

Ngày tải lên: 22/10/2013, 16:15

... four trend models β t Long-term trends, overdispersion and temporal correlation are removed from the health data with one of four trend models: a natural cubic spline of calendar time (models 1 ... time (models 1 and 2); a first order random walk (models 3 and 4); a second order random walk (models 5 and 6); and a local linear trend model (models 7 and 8). To aid clarity in the following ... estimated parametrically using regression splines, the model is linear, where as non-parametric estimation using smoothing splines, leads to an additive model. In this paper we investigate the efficacy of using Bayesian...

Ngày tải lên: 17/02/2014, 10:20

... about both syn- tactic and semantic properties of verbs: VerbNet (Kipper et al., 2008) draws on several hand-built and semi-automatic sources to link the syntax and semantics of 5,726 verbs. FrameNet ... al., 1998) provides semantic frames and annotated ex- ample sentences for 4,186 verbs. PropBank (Palmer et al., 2005) is a corpus where each verb is annotated for its arguments and their semantic roles, ... 2012. c 2012 Association for Computational Linguistics Learning Syntactic Verb Frames Using Graphical Models Thomas Lippincott University of Cambridge Computer Laboratory United Kingdom tl318@cam.ac.uk Diarmuid ´ O...

Ngày tải lên: 19/02/2014, 19:20