Are performance predictions for text based on ease of processing?

نویسندگان

  • Katherine A Rawson
  • John Dunlosky
چکیده

In 4 experiments, the authors evaluated the hypothesis that performance predictions for text are based on ease of processing. In each experiment, participants read texts, predicted their performance for each one, and then were tested. Ease of processing was manipulated by having participants read texts that varied in coherence. Coherence was varied by manipulating causal relatedness across sentence pairs (Experiments 1 and 2) and by altering the structure of sentences within paragraphs (Experiment 3). In these experiments, prediction magnitudes increased as coherence increased, suggesting that predictions were based on processing ease. In Experiment 4, prediction magnitudes were greater for intact paragraphs than for paragraphs with letters deleted from some of the words. Discussion focuses on resolving apparent inconsistencies in the literature concerning whether processing ease influences performance predictions.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

روش جدید متن‌کاوی برای استخراج اطلاعات زمینه کاربر به‌منظور بهبود رتبه‌بندی نتایج موتور جستجو

Today, the importance of text processing and its usages is well known among researchers and students. The amount of textual, documental materials increase day by day. So we need useful ways to save them and retrieve information from these materials. For example, search engines such as Google, Yahoo, Bing and etc. need to read so many web documents and retrieve the most similar ones to the user ...

متن کامل

Document Image Dewarping Based on Text Line Detection and Surface Modeling (RESEARCH NOTE)

Document images produced by scanner or digital camera, usually suffer from geometric and photometric distortions. Both of them deteriorate the performance of OCR systems. In this paper, we present a novel method to compensate for undesirable geometric distortions aiming to improve OCR results. Our methodology is based on finding text lines by dynamic local connectivity map and then applying a l...

متن کامل

An Optimal Approach to Local and Global Text Coherence Evaluation Combining Entity-based, Graph-based and Entropy-based Approaches

Text coherence evaluation becomes a vital and lovely task in Natural Language Processing subfields, such as text summarization, question answering, text generation and machine translation. Existing methods like entity-based and graph-based models are engaging with nouns and noun phrases change role in sequential sentences within short part of a text. They even have limitations in global coheren...

متن کامل

Corpus based coreference resolution for Farsi text

"Coreference resolution" or "finding all expressions that refer to the same entity" in a text, is one of the important requirements in natural language processing. Two words are coreference when both refer to a single entity in the text or the real world. So the main task of coreference resolution systems is to identify terms that refer to a unique entity. A coreference resolution tool could be...

متن کامل

Efficient Method Based on Combination of Deep Learning Models for Sentiment Analysis of Text

People's opinions about a specific concept are considered as one of the most important textual data that are available on the web. However, finding and monitoring web pages containing these comments and extracting valuable information from them is very difficult. In this regard, developing automatic sentiment analysis systems that can extract opinions and express their intellectual process has ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Journal of experimental psychology. Learning, memory, and cognition

دوره 28 1  شماره 

صفحات  -

تاریخ انتشار 2002