نتایج جستجو برای: cohesive text

تعداد نتایج: 174157  

2000
Emily G. Brassell Emily Brassell

This study examines the functions and characteristics of demonstrative anaphora (this, these, that, those) in a collection of full-text scientific documents, confirming that they play an important role in maintaining discourse focus and binding together cohesive sections of text. Unlike corpora in other subject domains, the Cystic Fibrosis database contains more demonstrative expressions than a...

2013
T. Suryakanthi T. V. Prasad

Discourses are linguistic structures above sentence level. Discourse is nothing but a coherent sequence of sentences. Discourse analysis is concerned with coherent processing of text segments larger than the sentence and this requires something more than just the interpretation of the individual sentences. A phenomenon that operates at discourse level includes cohesion. Text is cohesive if its ...

2015
R. Romero E. L. Iglesias L. Borrajo

Support vector machine (SVM) is a powerful technique for classification. However, SVM is not suitable for classification of large datasets or text corpora, because the training complexity of SVMs is highly dependent on the input size. Recent developments in the literature on the SVM and other kernel methods emphasize the need to consider multiple kernels or parameterizations of kernels because ...

2008
Makoto Terao Takafumi Koshinaka Shinichi Ando Ryosuke Isotani Akitoshi Okumura

This paper proposes a new method for open-vocabulary spoken-document retrieval based on query expansion using related Web documents. A large vocabulary continuous speech recognition (LVCSR) system first transcribes spoken documents into word sequences, which are then segmented into semantically cohesive units (i.e., stories) using a text segmentation technique. Given a text query word, Web docu...

2011
K. Sathiyamurthy T. V. Geetha

Block level segments obtained from e-learning material should form cohesive blocks of e-learning content not only from continuity perspective but also from concept coverage perspective. Therefore in this work two new evaluation measures specificity and proximity have been proposed to evaluate the segments from this concept coverage perspective. These two methods of segmentation have been compar...

Journal: :Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2002
Udo Hahn Martin Romacker Stefan Schulz

MEDSYNDIKATE is a natural language processor for automatically acquiring knowledge from medical finding reports. The content of these documents is transferred to formal representation structures which constitute a corresponding text knowledge base. The system architecture integrates requirements from the analysis of single sentences, as well as those of referentially linked sentences forming co...

Journal: :The Yale Journal of Biology and Medicine 1962
A. V. N. Goodyer

ation and the synthesis of antibodies are discussed. The author fails to mention the apparent absence of many kinds of regulation, both of protein synthesis and of cell multiplication in tumor growth. Except in a few passages the text keeps the reader's attention. Rather than a dull enumeration of experimental facts, the entire book is cohesive and tells an exciting unified story. The author's ...

Journal: : 2022

A text, as distinct from a sentence, can be defined literal use of language. Text is the unit communication, and for piece language to it must produces communicative purpose. Every sentence in text loaded with tools such transferring information, conveying attitudes or feelings, presenting facts. Seven standards textuality which are cohesion coherence oriented acceptability, informativity, situ...

Journal: :IJCLCLP 2013
Yu-Ta Chen Yaw-Huei Chen Yu-Chih Cheng

This paper investigates the appropriateness of using lexical cohesion analysis to assess Chinese readability. In addition to term frequency features, we derive features from the result of lexical chaining to capture the lexical cohesive information, where E-HowNet lexical database is used to compute semantic similarity between nouns with high word frequency. Classification models for assessing ...

2006
Michael L. Wick Aron Culotta Andrew McCallum

Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper presents a record extraction system that assembles mentions into records (i.e. database tuples). We construct a probabilistic model of the compatibility between field values, then employ graph partitioning algorithms t...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید