texts using comparative type classification

... accuracy of 88.59% for classifying comparative sentences into eight types (one non -comparative type and seven comparative types), and an accuracy of 86.81% for mining comparative entities and predicates. ... sentences into eight types (seven comparative types and one non -comparative type) . 5.2.1 Extracting comparative sentences. Before evaluating our proposed method for comparative sentence extraction, ... Classifying comparative sentences into seven types As we extract comparative sentences successfully, the next step is to classify the comparatives into different types. We define seven comparative types...

Ngày tải lên: 20/02/2014, 04:20

... Converting Data Types 26 Lab 3.1: Creating and Using Types 30 Review 34 Module 3: Using Value- Type Variables 24 Module 3: Using Value -Type Variables Using an Enumeration Type You can ... simple types. Lead-in C# provides a set of predefined struct types called simple types. Module 3: Using Value -Type Variables 23 Enumeration Types  Defining an Enumeration Type  Using ... Variables 3 Overview of CTS  CTS supports both value and reference types Reference Type Reference Type Type Type Value Type Value Type ***************************** ILLEGAL FOR NON - TRAINER USE ******************************...

Ngày tải lên: 26/10/2013, 23:15

... data types such as int, long and bool. These types are also referred to as value types. C# also supports more complex and powerful data types known as reference types. Value Types Value -type ... 2 Module 8: Using Reference -Type Variables    Using Reference -Type Variables  Comparing Value Types to Reference Types  Declaring and Releasing Reference ... built-in data types such as char and int. Value types are the simplest types in C#. Variables of value type directly contain their data in the variable. Reference Types Reference -type variables...

Ngày tải lên: 17/01/2014, 09:20

... we classify comparative sentences into six types and then we extract single compar- ative keywords from each type as follows: Table 1. The six types of comparative sentences Type Single-keyword ... 3 Extracting Comparative- sentence Candidates In this section, we define comparative keywords and extract comparative- sentence candidates by using those keywords. 3.1 Comparative keyword ... Single-keyword Contain Not contain Comparative Sentences S1 S2 Non -comparative Sentences S3 S4 ( unconcerned group) 2 In fact, type 6 can be sorted as non -comparative from lin- guistic...

Ngày tải lên: 20/02/2014, 09:20

... sion parameters. In our case, it is not possi- ble to have an a priori reference classification. The reference classification is highly domain- and task-dependent. The only criterion that we ... sets. 4 The conceptual analysis : the LEXICLASS software LEXICLASS is a clustering tool written using C lan- guage and specialised data analysis functions from Splus TM software. Given the ... is per- formed with, as input, a similarity matrix. This kind of methods gives, as a result, a classification tree (or dendrogram) which has to be cut at a given level in order to produce clusters....

Ngày tải lên: 22/02/2014, 03:20

Ngày tải lên: 23/03/2014, 16:21

Ngày tải lên: 18/06/2014, 19:20

... skills. d. Some disadvantages of using songs in teaching listening skill. Question 5 in the survey is very important as it helps to find out the disadvantages of using songs in teaching listening ... therefore, needs to be taught and studied carefully. And with an experimental research on using English songs as a type of supplementary materials in teaching listening skill, she wants to find out ... of English. That was the reason why the author would like to conduct this research of using songs as a type of supplementary material in teaching listening skill in order to erase their prejudice...

Ngày tải lên: 29/01/2014, 10:33

Ngày tải lên: 13/02/2014, 12:20

... join- ing terms achieve slightly better accuracy using the Nearest Neighbor and SVM algorithms, and very slightly worse accuracy using the neural network. Using all of the joining terms resulted in ... two conditions, and again using all of the joining terms produced the best results. The SVM algorithm produced the best accuracy of all, achieving 50.1% accuracy using the com- bined set of ... algorithm was done using leave-one-out cross validation. The next learning algorithm we used was the multi-layer perceptron, or neural network. The network was trained using the backpropagation...

Ngày tải lên: 20/02/2014, 12:20

... seeds seem to be sufficient in covering their sub-types (e.g. the sub-types COUNTRY, CITY, etc for LOCATION). But there are hundreds of sub-types of ORG that cannot be covered by less than ... In addition to the key NE types in MUC, our system is able to recognize another NE type, namely, PRODUCT (PRO) NE. We instructed our truthing team to add this NE type into the testing corpus ... Method for Learning Semantic Lexicons using Extraction Pattern Contexts. Proceedings of EMNLP 2002. Segal, R. and O. Etzioni. 1994. Learning decision lists using homogeneous rules. Proceedings...

Ngày tải lên: 20/02/2014, 16:20

... European Union, where texts must be translated daily into eleven languages, or even in the U.S.A. where Spanish and English speaking communities are intermingled. Parallel texts (texts that are mutual ... the ‘parallel texts of the stone. Each pair of texts provides a set of candidate correspondence points from which we draw a line based on linear regression. Points are de- fined using the co-ordinates ... we get in the end by using a more dynamic ap- proach to the filtering using linear regression lines, by selecting candidate correspondence points at the same time that parallel texts tokens are input....

Ngày tải lên: 20/02/2014, 18:20

... 5. CONCLUSION Using word pairs of Japanese and English to distinguish among senses of the same verb, we have shown that using word pairs to classify nouns is better than not using word pairs, ... shown. One (solid line) is the result of using the word pair to distinguish among senses of the same verb. The other (dotted line} is the result of using the verb form itself. The X-axis is ... is thus necessary to resolve the following issues to make the classification result more accurate. (1)to develop a means of using the frequency normalized by expected word pairs. (2)to...

Ngày tải lên: 20/02/2014, 21:20

... the test set using the top 40 genes. They were able to classify 32 of 34 cases correctly using 5 genes. In (Chapelle, 2000), the authors achieve 1 error on the test set with 5 genes using the same ... Fodor. Science. 277:393-395, 1997. (Furey, 2000) Support Vector Machine Classification and Validation of Cancer Tissue Samples Using Microarray Expression Data. T. Furey, N. Cristianini, N. Duffy, ... extensions of the algorithm. II. Problem description and prior work II.1. Classification problems In this paper we address classification problems where the input is a vector that we call a “pattern”...

Ngày tải lên: 06/03/2014, 00:22

... interpreted as 100% efficient (Table 1A serial-c). e. Comparative efficiency of PCR to routine diagnostics like microscopy and culture Table 3 presents the comparative efficiency of PCR to diagnostics ... Tuberculosis 76 What To Do for Quitting Smoking Indian Journal of Tuberculosis A COMPARATIVE STUDY OF THE DIAGNOSIS OF PULMONARY TUBERCULOSIS USING CONVENTIONAL TOOLS AND POLYMERASE CHAIN REACTION* Original ... was done using a variety of standards. Efficiency of microscopy, culture and PCR in terms of sensitivity, specificity, positive predictive value and negative predictive value was done using the...

Ngày tải lên: 06/03/2014, 04:20

... issues raise great challenges to comparative summarization in the news domain. In this study, we propose a novel approach for comparative news summarization. We consider comparativeness and representativeness ... the optimization problem by using linear programming to extract proper comparable sentences. More specifically, we consider a pair of sentences comparative if they share comparative concepts; we ... than Haiti. 2.2 Comparative News Summarization The task of comparative news summarization is to briefly sum up the commonalities and differences between two comparable news topics by using human readable...

Ngày tải lên: 07/03/2014, 22:20

... Michigan, June 2005. c 2005 Association for Computational Linguistics Using Readers to Identify Lexical Cohesive Structures in Texts Beata Beigman Klebanov School of Computer Science and Engineering The ... were cut at a meaningful break to stay within 1000 word limit. The texts were in English - original language for all but two texts. Our subjects were 22 students at the Hebrew Uni- versity of ... as opposed to generating ones. We used 6 out of the 10 texts and 17 out of 20 annotators for the follow- up experiment. Each person did 3 text, each texts received 7-9 annotations of this kind. For...

Ngày tải lên: 17/03/2014, 06:20

Ngày tải lên: 17/03/2014, 07:20

Ngày tải lên: 17/03/2014, 08:20

Ngày tải lên: 22/03/2014, 10:20