using transition words between paragraphs

Ngày tải lên: 07/08/2014, 13:21

... 9.71M 0.50M 9.45M 1.19M 4.1 Using a morphological tagger and disambiguator The split version of the corpus contains words that are split into their stem and suffix forms by using a previously developed ... 2 gives the total log-probability (using log 2 ) for the split and unsplit datasets using n-gram models of different order. We compute the perplexity of the two datasets using a common denomina- tor: ... the sub-word level. The standard n-gram language model ignores long-distance relationships between words and uses the independence assumption of a Markov chain of order n − 1. Morphemes play...

Ngày tải lên: 20/02/2014, 09:20

Ngày tải lên: 19/03/2014, 17:11

Ngày tải lên: 23/03/2014, 16:21

Ngày tải lên: 23/05/2014, 15:58

Ngày tải lên: 21/06/2014, 20:20

Ngày tải lên: 09/08/2014, 06:22

Ngày tải lên: 10/08/2014, 20:20

... compounds annotated with the correct WordNet noun senses for constituent words, the correct semantic relation between those words, and the correct WordNet verb sense for that relation. In addition ... literature have used the seman- tic category membership of the constituent words in a compound to determine the relation between those words. Most of these use hand-crafted lex- ical hierarchies designed ... corpus: this explains the relation between the two words in that compound. Sets of compounds from other sources would not have such associated definitions. Second, by using compounds from WordNet,...

Ngày tải lên: 08/03/2014, 02:21

... elderly participants’ COP data and found that a fractal dimension analysis, using Higuchi’s algorithm revealed a difference between participants when they stood a) with their eyes open, and b) with ... healthy participants’ COP were analysed using a more traditional fractal dimension analysis [13]. This method recorded COP data and analysed COP traces using an image analyser to calculate the ... 1(1):11-20 â2004 Ivyspring International Publisher. All rights reserved Discriminating between elderly and young using a fractal dimension analysis of centre of pressure Research paper Received:...

Ngày tải lên: 03/11/2012, 10:09

Ngày tải lên: 08/11/2013, 07:15

... NavigateDataRelationForm.cs // Namespaces, variables, and constants using System; using System.Configuration; using System.Text; using System.Data; using System.Data.SqlClient; // Table name constants ... [ Team LiB ] Recipe 3.4 Navigating Between Parent and Child Records Using a DataRelation Problem You want to navigate between the parent and child records in a hierarchical ... containing the Orders and Order Details tables from the Northwind sample database and a relation between them. The code then iterates over the Orders and uses the relation to return all Order...

Ngày tải lên: 14/12/2013, 18:16

Ngày tải lên: 14/12/2013, 20:23

... al., 2005) to capture lexical entailment between two sentences. The pattern has to be discussed in the more gen- eral setting of the probabilistic entailment between texts: the text T and the hypothesis ... to equation (1) in Sec. 2. In (Glickman et al., 2005), words in H and T are supposed to be mutually independent. The previ- ous relation between H and T probabilities then holds also for word ... 2006. c 2006 Association for Computational Linguistics Discovering asymmetric entailment relations between verbs using selectional preferences Fabio Massimo Zanzotto DISCo University of Milano-Bicocca Via...

Ngày tải lên: 20/02/2014, 12:20

... (Schmid, 1994). 35 stopwords (quite fre- quent words such as “be” and “have”) are removed from the lexical network. Negation words include 33 words. In addition to usual negation words such as “not” ... extracted the words tagged with “Positiv” or “Negativ”, and reduced multiple-entry words to single entries. As a result, we obtained 3596 words (1616 positive words and 1980 negative words) 1 . ... computation converged. The words with high final average values are clas- sified as positive words. The words with low final average values are classified as negative words. 4.3 Hyper-parameter Prediction The...

Ngày tải lên: 20/02/2014, 15:20

... classes. The words belong to each class is called: increasing -words, relatively constant -words, and decreasing -words respectively. Table 1 shows a sample of some classified words according ... the words in each group. Table 1 Sample of Classified Words Stability Class Example of words in each class Increasing Words Sammy-Sosa, McGwire, Carlos-Delgado Relatively constant words ... of words frequency with time- series variation included in both periods. The data of extracted words is shown in Table 2. In order to get the accuracy of the correct words that are words...

Ngày tải lên: 20/02/2014, 16:20

... LCP olo o o o olo[o o ] words Figure 2. Correlation between LCP and text segments. 0.6 0.5 0.4 0.3 loo 2;o 4oo i (words) Figure 3. An example of LCP (using rectangular window of ... (1993) defined lexical co- hesiveness as semantic similarity between words, and proposed a method for measuring it. Sim- ilarity between words is computed by spreading activation on a semantic ... coherent scene; the words in a segment a~e linked together via lexical cohesion relations. LCP records mutual similarity of words in a sequence of text. The similarity of words, which represents...

Ngày tải lên: 20/02/2014, 21:20

... Similar Words The contextually similar words of a word w are words similar to the intended meaning of w in its context. Below, we describe an algorithm for constructing contextually similar words ... parsed corpus. Attachment decisions are made using a linear combination of features and low frequency events are approximated using contextually similar words. Introduction Prepositional phrase attachment ... the contextually similar words of w. We retrieve from the collocation database the words that occurred in the same dependency relationship as w. We refer to this set of words as the cohort of w...

Ngày tải lên: 08/03/2014, 05:20

... rela- tions between words, from a raw corpus. 726 by a set of head-dependent relations between words. A sentence is analyzed by establishing dependency links between individual words in the ... collection(45,000,000 words) , POS-tagged collection(6,750,000 words) , and tree-tagged collection(30,000 sentences) at present. where the test corpus contains a total of IV] words and is composed ... on a kind of simple dependency gram- mar. The grammar consists of head-dependent relations between words and can be learned au- tomatically from a raw corpus by the reestima- tion algorithm...

Ngày tải lên: 08/03/2014, 05:21