... position-based, transitive andlatentmodels are all stand-alone models, theycan complement each other in combination as theyprovide relatively orthogonal sources of informa-tion. To combine these models, ... struc-tural, transitiveandlatent properties of biographicdata. We first showed an improvement to the stan-dard Ravichandran and Hovy (2002) model uti-lizing untethered contextual pattern models, ... question and, there hasbeen a plethora of work in the seed-based boot-strapping literature which addresses this problem(Ravichandran and Hovy, 2002; Thelen and Riloff,2002; Mann and Yarowsky,...
... bajar and subir may be used transitively and intransitively.By comparing the transitiveand intransitive uses of bajar and subir,you will see thedifferences more clearly: Transitive use Intransitive ... differences between transitive and intransitive verbsIn English, most verbs may be used transitively or intransitively. This is not the case inSpanish. If we take the use of a transitive verb in ... GRAMMAR OF SPANISHEstoy lav´andome / Me estoy lavando Iamwashing (myself)Est´arasur´andose / Se est´arasurando He’s shaving (himself)Est´an pase´andose / Se est´an paseando They are out for a walkExercisesLevel...
... in Latent Variable Models To understand that the use of the Gaussian copula leads to models that are structurallyequivalent we introduce a formal definition of equivalence for latent variable models ... models and present a simple new result.Definition 1. Let (Xi,Di)1≤i≤m and (Xi,Di)1≤i≤mbe two latent variable models gener-ating default indicator vectors Y and Y. The models ... papers by Koyluoglu and Hickman (1998), Gordy(2000) and Crouhy, Galai, and Mark (2000).A core assumption of the KMV and CreditMetrics models is the multivariate normalityof the latent variables....
... multiplemethods of context similarity, and concluded thatagglomerative clustering provides effective meansof inference (Gooi and Allan, 2004). Pedersen etal. (2006) and Purandare and Pedersen (2004) inte-grate ... undirected graphical models. In NeuralInformation Processing Systems (NIPS), Workshop onLearning on Cores, Clusters and Clouds.Ben Wellner, Andrew McCallum, Fuchun Peng, and Michael Hay. 2004. ... (Blume,2005; Baron and Freedman, 2008; Popescu et al.,2008). These approaches are greedy and differ in thechoice of the distance function and the clustering al-gorithm used. Daum´e III and Marcu...
... an104ReferencesStephan Bloehdorn and Alessandro Moschitti. 2007a.Combined syntactic and semantic kernels for text clas-sification. In Proceedings of ECIR 2007, Rome, Italy.Stephan Bloehdorn and Alessandro Moschitti. ... expressionsegmentation and polarity labeling and comparethem to the joint opinion extractor and polarity clas-sifier by Choi and Cardie (2010). Secondly, we ex-tend the global structure approach and add featuresreflecting ... Thomas Finley, and Chun-Nam Yu.2009. Cutting-plane training of structural SVMs. Ma-chine Learning, 77(1):27–59.Richard Johansson and Alessandro Moschitti. 2010a.Reranking models in fine-grained...
... PCFG models of linguistictree representations. Computational Linguistics,24(4):613–632.John Lafferty, Andrew McCallum, and FernandoPereira. 2001. Conditional Random Fields: Prob-abilistic models ... models. However, it would also beinteresting to compare the performance of joint and conditional estimators on more sophisticated models. ReferencesSteven Abney, David McAllester, and FernandoPereira. ... algorithm. Computer Speech and Language, 4(35-56).Andrew McCallum, Dayne Freitag, and FernandoPereira. 2000. Maximum Entropy Markov Mod-els for information extraction and segmentation. InMachine...
... analytically and 27Figure 5: USD swaption volatilities as of November 25, 2008. Strikes and vols are expressedas differences from the respective ATM values. Source: Bloomberg.Andersen and Andreasen ... (2005), Wu and Zhang (2006) and Zhu (2007).In the second, commonly referred to as SABR, the LMMs by Henry-Labord`ere (2007),Rebonato (2007), Mercurio and Morini (2007) and Hagan and Lesniewski ... caplets and swaptions to the double-curve case.Section 6 introduces the extended lognormal LIBOR market model and derives the FRA and forward rates dynamics under different measures and the pricing...
... mistransmitted (Models 1, 3, 5), and how the N and V probabil-ities acquired by a given learner are coupled. InModel 1 there is no coupling (ˆαt and ˆβtlearnedindependently), in Models 2–3 coupling ... Harada, and R.P. Wayland.2003. Factors affecting stress placement for Englishnonwords include syllabic structure, lexical class, and stress patterns of phonologically similar words.Language and ... Griffiths, and S. Lewandowsky.2007. Iterated learning: Intergenerational knowl-edge transmission reveals inductive biases. Psycho-nomic Bulletin and Review, 14(2):288.M.H. Kelly and J.K. Bock....
... Theories and DATR Models Bill Keller School of Cognitive and Computing Sciences The University of Sussex Brighton, UK email: billk@cogs.susx.ac.uk Abstract Evans and Gazdar (Evans and Gazdar, ... sentences and it is said to be functional if it meets the following condition: 1The syntax presented in (Evans and Gazdar, 1989a; Evans and Gazdar, 1989b) permits nodes and paths to stand as ... Verb : 0, and similarly else- where. The theory defines the properties of seven nodes: an abstract Verb node, nodes EnVerb, Aux and Modal, and three abstract lexemes Walk, Mow and Can. Each...
... ni.p + ti. p f (tl tn).gk'.rti + J_ ift n¢gk and for constraints (keeping in mind that implication and equiwdence are just shorthands): Rewriting Constraints lrue & c C false ... false if f k ~e gn if either v or v' is _1_ if v and v' are the same value v = v' + false if v and v' are atomic and v~v' f01 tn)=f(u~ un) tl=Ul & & tn=Un ... constraints have not been resolved and (b) the intermediate and final data structure are also partial descriptions, being potentially annotated with unresolved constraints, and denote not a single,...
... takes new tuples and a current state and out-put new tuples and a modified state and pass, prop,keep are three behavior functions that take punctua-tion marks and state as input and returns additionaloutputs ... etc.)always return a sequence of length one and they areall nonmonotonic, and therefore blocking. Continuouscount and sum are monotonic and nonblocking, and thus suitable for continuous queries.Order! ... NOT(sno = 1 AND Next = ’rebate’) AND NOT(sno = 2 AND Next = ’cancel’) AND Next <> ’order’UPDATE state SET sno = 1WHERE Next=’order’;UPDATE state SET sno = sno+1WHERE (sno = 1 AND Next...
... distressed firms and is unquestionably relevant to both small and large firms. Variable Selection After the initial groups are defined and firms selected, balance sheet and income statement ... mandatory by the FASF in 1987. (5) Goodwill and intangibles. Deducted from assets and equity because of the difficulty in assigning economic value to them. (6) Capitalized research and ... same maturity as the loan, and r-i will be somewhat higher - perhaps 2-4%. The relationship between r-i will vary over time and is particularly sensitive to the demand and supply equilibrium relationship...
... and translation models and on their combination with general models in order to achieve a proper balance be-tween precision (specialized in-domain models) and recall (general out-of-domain models) . ... proper cooperation between ‘EU’ and ‘WNG’ models. ‘EU’ models provides recall, for instanceby suggesting translation candidates for ‘bombs’or ‘price below’. ‘WNG’ models provide preci-sion, for ... configurations. ‘EU’ and ‘WNG’ refer tothe models estimated from the Europarl corpus and the training set of parallel WordNet glosses, respectively. ‘D1’, and ‘D2’denote the specialized language models estimated...
... LinguisticsCollapsed Consonant and Vowel Models: New Approaches forEnglish-Persian Transliteration and Back-TransliterationSarvnaz Karimi Falk Scholer Andrew TurpinSchool of Computer Science and Information ... approaches, whichwe refer to as CV-MODEL1 and CV-MODEL2 re-spectively, partition these sequences using basic pat-terns (C and V) and main patterns (CC, CVC, VC and CV). In the training phase, transliteration ... Automatic translit-eration and back-transliteration by decision tree learning. InConference on Language Resources and Evaluation, pages1135–1411.Sarvnaz Karimi, Andrew Turpin, and Falk Scholer. 2006....
... both in human and yeast cells and leads to the loss of subunit 3 in R. sphaero-ides due to instability and protein degradation.In conclusion, on the basis of the yeast and bacterial models, the ... growth and on the cytochromeoxidase content. Three mutations, G78S, A200T and DF94–F98 in subunit 3 were chosen for more detailed analysis and introduced in R. sphaeroides (Materials and methods). ... on densitometry meas-urements (see Materials and methods) G78S and A200T contain asmuch subunit 3 as the wild-type oxidase and DF94–F98 in lanes D and Econtains 25% of the normal amount of subunit...