... correspond to the different senses of theword. This follows the hypothesis of (Miller andCharles, 1991) that words that occur in similar con-texts will have similar meanings.We have shown that ... thepercentage of the majority class (MAJ.) and count(N) of the total number of contexts for the namesor newsgroups. The majority percentage provides asimple baseline for level of performance, ... optimalnumber of clusters, to avoid setting this value man-ually.In general all of our results significantly improveupon the majority classifier, which suggests that the clustering of contexts...
... of the spoken language into print, they haven’t made it into our dictionaries. Thus family words make up a half-hidden level of language. The conceptual matter of family words, like that of ... dictionary, Burgess Unabridged: A Dictionary of Words You Have Always Needed. Among the words in it is blurb— another of Burgess’s claims to fame, for this creation of his re-mains in use, still with ... see the bibliography for an expanded list of sources—but I will touch on some highlights. An Exaltation of Larks, the collection of venerable terms of venery, originally appeared in 1968 and...
... chain train of grocery stores.”—San Diego Business Journal WORDS THAT APPEAR TO BE MISSPELLINGS OF EVERYDAY WORDS II43To be well informed, one must read quickly a great number of merely instructive ... wretch.From erroneous reading of Middle English nithing,from Old English nithing. This form of the word originated in the 1596 text of historian William of Malmesbury.48CHAPTER 12 Words Formed Erroneouslycmp02.qxd ... gift, quality, trait, orpower. 2. To put on (an item of clothing). WORDS THAT APPEAR TO BE MISSPELLINGS OF EVERYDAY WORDS II41The lights of stars that were extinguished ages ago still reach...
... outlet. When I 110 A LITTLE CROP OF HORRORS This lexicon of tribulations consists of four dictionary words (mostly archaic, rare, or dialectal), and twelve words of the kind this book is mainly ... by Russ Harvey, of Cody’s Books, in Berkeley, Calif. Nantucket designates a pocket in The Deeper Meaning of Liff, but of course, in reality it is the name of an island off Massachusetts. ... Lennon, of Ithaca, N.Y.), fluster cluster (Charles Memminger, of Honolulu), awry spell (Connie West, of Cincinnati), and bad err day (Gina Loebell, of East Windsor, N.J.). Ilan Kinsley, of Sioux...
... spoke of the peasants as leading “a way of life completely different from ours, from that of civilized people.” And Dany Levy, the founder and editor of DailyCandy.com, who compiles lexicons of ... the bla-tant attack on those of us who send follow-up e-mails,” wrote Andrew Goldberg, of New York City. Cheryl Scott Ryan, of Austin, Texas, wrote, “Our recent of ce move has not been kind ... (each proposed by a number of people), ribaldefiler (Romy Benton, of Portland, Ore.), opporntunist (Steve Groulx, of Cornwall, On-tario), verse-vicer (Nancy Schimmel, of Berkeley, Calif.), and...
... orientation of for-eign words. Identifying the semantic orienta-tion ofwords has numerous applications in theareas of text classification, analysis of prod-uct review, analysis of responses ... 1966)as a source of seed labeled words. The lexicon con-tains 4206 words, 1915 of which are positive and2291 are negative. For Arabic and Hindi we con-structed a labeled set of 300 words for each ... labeled set of positive and neg-ative words and has shown very promising re-sults.1 IntroductionA great body of research work has focused on iden-tifying the semantic orientation of words. Word...
... d(Y, Y)326NN = 2048N = 128N = 64N = 2048331Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pages 324–332,Suntec, Singapore, 2-7 August 2009.c2009...
... semantics of MNswell, the MN clusters constructed by usingdependency relations should serve as a goodgazetteer. However, the high level of computa-tional cost has prevented the use of clustering for ... for storingonly a part of classes Cl, i.e., 1/|P | of the parame-ter matrix, where P is the number of cluster nodes.This data splitting enables linear scalability of mem-ory sizes. However, ... and, in terms of execution speed, may4Acknowledgements: This corpus was provided by Dr.Daisuke Kawahara of NICT.5To be precise, we need two copies of these.6Each node has a copy of the training...
... similar context – the contextual words having similar pattern of surrounding words - into same cluster. Extracted clusters throughout the clustering symbolize the senses for the central words ... popularity and the variety of the algorithms – soft and hard clustering and graph clustering etc. In all clustering methods, used similarity measure is the cosine similarity between two sense ... the central word show the similar pattern of context. If collocation patterns between contextual words are similar, it means that the contextual words are used in a similar context - where...
... noun-noun similarity score,Seen(vd) is the set of seen head words filling theslot vdduring training, and C(vd, n) is the num-ber of times the noun n was seen filling the slot vdThe similarity ... 2002 of the NYTportion of the Gigaword Corpus, containingapproximately 225 million tokens.• Train x10: The entire NYT portion of Giga-word (approximately 1.2 billion tokens). It isan order of ... less of the training examples overall.In order to analyze why pairs are unseen, we an-alyzed the distribution of rare words across unseenand seen examples. To define rare nouns, we orderhead words...
... Similar Words The contextually similarwordsof a word w are words similar to the intended meaning of w in itscontext. Below, we describe an algorithm forconstructing contextually similarwords ... consisting of 11839 nouns, 3639verbs and 5658 adjectives/adverbs. Given aword w, the thesaurus returns a set of similar wordsof w along with their similarity to w. Forexample, the 20 most similarwords ... thecontextually similarwordsof w. We retrievefrom the collocation database the words thatoccurred in the same dependency relationship asw. We refer to this set ofwords as the cohort of w for the...
... terms of algorithms, with measurable complexity, to allow convenient study of the effect of clue words on processing. Two important observations are made: (I) clue words cut processing of the ... categories. 258 A COMFUTATIONAL THEORY OF THE FUNCTION OF CLUE WORDS IN ARGUMENT UNDERSTANDING Robin Cohen Department of Computer Science University of Toronto 'lDronto, CANADA MSS ... use of clue words in argument dialogues. These are special words and phrases directly indicating the structure of the argument to the hearer. Two main conclusions are drawn: I) clue words...
... analysis of words into morphemes based on user-defined rules. The basic system does not offer analysis of words containing unknown morphemes, nor does it provide a rank ordering of the output ... These points can multiply together and of- ten produce a large number of possible analyses. Out of the test set of 200 words, based on a lex- icon consisting of around 3500 morphemes (in- cluding ... analysing words. Another problem is that unknown words are often place-names, proper names, Ioanwords etc. The technique described here would prob- ably not deal adequately with such words. ...
... technique of classification is clustering. By the clusteringof binding sites it ispossible to create binding site similarity classes.These classes can be useful for the classification of protein–ligand ... ‘silhouettevalue’ of a cluster is the smallest possible distancebetween an element of this cluster and an element of the neighboring clusters. The silhouette coefficient of the overall clustering is ... the distance function and clustering algorithm, three main parameters affected theproperties of clustering: OPTICS MINPTS, OPTICScut-off level and gap penalty (gp) of the distance func-tion....