... the8725.2.1 Data and Resources Measures ofdistributionalsimilarity usually re-quire large amounts of data. For the alignmentmethod we need a parallel corpus of reasonablesize with Dutch either ... ex-tract semantically related words using measures ofdistributional similarity, butthese typically are not able to distin-guish between synonyms and other types of semantically related words such ... an indication of the amount of information car-ried by that particular combination of a noun andits feature.We believe that this type of weighting is benefi-cial for calculating similarity between...
... the support of q is not a subset of the support of r). 2Strictly speaking, some of these functions are dissim- ilarity measures, but each such function f can be recast as a similarity function ... evaluated a num- ber ofdistributionalsimilarity measures, includ- ing the skew divergence, and analyzed their in- formation sources. We observed that the ability of a similarity function ... the intersection Vqr of the supports of q and r. This is of interest from a computa- tional point of view because Vqr tends to be a relatively small subset of V, the set of all verbs. Furthermore,...
... classification decisionis a function of both (1) the distributionalsimilarity of the new word to the target class and (2) the strength of the semantic relatedness of the target class toother likely ... quality of the distributional data.2 Similarity measures We evaluate our approach on the task wherenouns are classified into a predefmed set of semanticclasses. Thereby, the meaning of each ... on combined measuresofdistributional andsemantic similarity Viktor PekarBashkir State University,450000 Ufa, Russiavpekar@ufanet.ruSteffen StaabInstitute AIFB, University of Karlsruhehttp://www.aifb.uni-karlsruhe.de/WBS&...
... Analysis ofDistributionalSimilarity NetworksChris BiemannMicrosoft/Powerset, San FranciscoChris.Biemann@microsoft.comMonojit ChoudhuryMicrosoft Research Lab Indiamonojitc@microsoft.comAnimesh ... equally popular, visualization of distributional similarity is through graphs or networks, whereeach word is represented as nodes and weightededges indicate the extent ofdistributional similar-ity ... vs.eigenvector centrality of the words in the DSNs of 5000 nodes.eigenvectors. Furthermore, the graceful decay of the eigenvalues of the syntactic DSN implies theexistence of a hierarchical community...
... BUSINESS KNOWLEDGE (BEK)THE SIX MEASURESOF INCOME OF THE U.S. DEPARTMENT OF COMMERCE. Nguyen Tran Bich Ngoc1. Gross domestic product (GDP) is the market value of all final goods and services ... citizen works temporally in the United States, his production is part of U.S. GDP, but it is not part of U.S. GNP.( It is part of Canada’s GNP). For most countries, including the United States, ... the Department of Commerce, depreciation is called the “ consumption of fixed capital”.4. National income is the total income earned by nation’s residents in the production of goods and services,...
... and the need to do so by means of simple and clear measures. This balanceis particularly difficult to reach in the field of psychology of art, given the risk of oversimplifying psychological ... application in the field of psychology of art. The next question con-cerned the choice of semantic scales. Eysenck (1940) argued for the existence of ageneral factor of aesthetic experience, ... differentials of aesthetic appreciation of photographs. InJ. P. Frois, P. Andrade, & J. F. Marques (Eds.), Art and science. Proceedings of theXVIII Congress of the International Association of Empirical...
... both distributional clustering and nearest-neighbors averaging can yield improvements of up to 40% with respect to Katz's (1987) state -of- the-art backoffmethod in the prediction of unseen ... 1999. Measuresofdistributional simi- larity. In 37th Annual Meeting of the ACL, Som- erset, New Jersey. Distributed by Morgan Kauf- mann, San Francisco. Jianhua Lin. 1991. Divergence measures ... number of clusters (distinct values of C) is one. At the other extreme, for very large /3 the natural number of clusters is the same as the number of nouns. In general, a higher value of/ 3...
... contextual features areused. We evaluated the influence of context byvarying both the position and the size of the win-dow of words (i.e., parts of speech) surroundingthe candidate compound. The ... represents a window of twowords to the left and four words to the right of thecandidate noun-noun sequence. Table 5 shows theperformance of the two classifiers for some of thecontextual feature ... (8M words) for his study and apredefined list of 90,000 nouns which had no part- of- speech ambiguity. He reports an accuracy of 97.9% on a sample of 1,068 noun-noun sequences.Note that the above...
... lexical-syntactic patterns to labelclusters of distributionally similar terms. Mirkin etal. (2006) used 11 patterns, and the distributional similarity score of each pair of terms, to constructfeatures ... Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pages 396–404,Suntec, Singapore, 2-7 August 2009.c2009 ACL and AFNLPReducing semantic drift with bagging and distributional ... (2006)used distributionalsimilarity to find similar termsfor verifying the names in date -of- birth facts fortheir tera-scale bootstrapping system.2.3 Selecting seedsFor the majority of bootstrapping...
... definition ofdistributionalsimilarity bymaking the assumption that two words ap-pearing in similar sets of features must be re-lated.2.1.2 LimitationsThe problems of the distributionalsimilarity ... as athat they were the effect of that they have the role of that it has the quality of the impact of the dynamics of ‘part of the’ which contribute to the score of manypairs. Our precision would ... notion of similarity can be achieved when adequately fil-tering the output of a distributionalsimilarity sys-tem. However, it also turns out that looking atthe most frequent contexts of the...
... the findings of the first stage of analysis withthe larger community of concerned professionals, we came across issues that widened our perspective of the problem and of the scope of mechanisms ... the process of the ‘makingsocial of disease’ (Frankenberg 1980:199). The concept of sickness involves particularly aconsciousness of the role of social relations in their expression of power, ... of reproductive morbidity at thecommunity level is one of the primary objectives of the study, the research team put a great deal of effort into the construction of the morbidity component of...
... takenfor the actual assembly of the objects. Also, other measures of the user’s gaze behaviour might be885Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pages 879–887,Suntec, ... under a range of conditions andthen completed a user-satisfaction ques-tionnaire. The results of this study pro-vide a wide range of subjective and ob-jective measuresof the quality of the in-teractions. ... considered four measuresof dialogue qual-ity. The first two measures looked specifically forsigns of problems in the interaction, using data au-881useful: more global measures such as how oftenthe...
... use the evidence ofdistributionalsimilarity to achieve better spelling correction accuracy. We present two methods that are able to take advan-tage ofdistributionalsimilarity information. ... for use ofdistributionalsimilarity estimated from query logs in learning improved query spelling correction models. The key to our methods is the property of dis-tributional similarity ... investi-gation on distributionalsimilarity functions can be found in (Lillian Lee, 1999). 3 Distributional Similarity- Based Mod-els for Query Spelling Correction 3.1 Motivation Most of the previous...
... for distributional similarity measures, (Lin, 1998) is maybe the most widely used one, while (Weeds et al., 2004) provides a typical example for recent research. Distributional similaritymeasures ... we investigate automatic acquisi-tion of the lexical entailment relation. For the distributional similarity component we employ the similarity scheme of (Geffet and Dagan, 2004), which was ... extrac-tion in KnowItAll. In Proc. of WWW-04. NY, USA. Geffet, Maayan and Ido Dagan. 2004. Feature Vector Quality and Distributional Similarity. In Proc. of COLING-04. Geneva, Switzerland....
... WordNet-Based Similarity Measures We also examine the following measuresof seman-tic similarity which are WordNet-based.3Wu andPalmer (1994) propose a measure ofsimilarity of two concepts ... mea-sure ofsimilarity based on WordNet to measurewhich were the head nouns being conjoined in cer-tain types of coordinate noun phrase.In this paper we look at different measures of word similarity ... start, when looking at similarity functionsfor measuring the type of semantic similarity com-mon for coordinate nouns, is a similarity functionbased on distributionalsimilarity with context...