Narrative reports in medical records contain a wealth of information that may augment structured data for managing patient information and predicting trends in diseases. Pertinent negatives are evident in text but are not usually indexed in structured databases. The objective of the study reported here was to test a simple algorithm for determining whether a finding or disease mentioned within ...

Narrative reports in medical records contain a wealth of information that may augment structured data for managing patient information and predicting trends in diseases. Pertinent negatives are evident in text but are not usually indexed in structured databases. The objective of the study reported here was to test a simple algorithm for determining whether a finding or disease mentioned within ...

Fluent reading comprehension was explored in a series of experiments involving sentences presented in normal and inverted typography. Sentences read in a test phase had been read earlier in exactly the same form, or in versions that were created by (a) altering the word order within sentences to create randomly ordered word strings or (b) exchanging causally related clauses to form new meaningf...

This study is about a syntactic analysis on sentences in the song lyrics of Josh Groban by using tree diagram theory. Thus, aims this are (1) To find out types phrases used (2) sentence patterns lyrics. The object which entitled “You Raise Me Up”. method qualitative analysis. technique collecting data 3 steps. steps are: preparing and organizing, coding, (3) representing data. Finally, findings...

Language resources that systematically organize paraphrases for binary relations are of great value for various NLP tasks and have recently been advanced in projects like PATTY, WiseNet and DEFIE. This paper presents a new method for building such a resource and the resource itself, called POLY. Starting with a very large collection of multilingual sentences parsed into triples of phrases, our ...

Single words, familiar phrases (idioms and speech formulas), and novel sentences (matched to the familiar phrases in length, frequency, and structure) were selected for a picture-matching auditory comprehension task and administered to left- and right-brain damaged (LBD, RBD) subjects. The groups did not differ in single word comprehension. A 2 x 2 ANOVA revealed opposite patterns on the two ot...

This work, concerning paraphrase identification task, on one hand contributes to expanding deep learning embeddings to include continuous and discontinuous linguistic phrases. On the other hand, it comes up with a new scheme TF-KLD-KNN to learn the discriminative weights of words and phrases specific to paraphrase task, so that a weighted sum of embeddings can represent sentences more effective...

We present an interactive web-based writing assistance system that is based on recent advances in crosslingual compositional distributed semantics. Given queries in Japanese or English, our system can retrieve semantically related sentences from high quality English corpora. By employing crosslingually constrained vector space models to represent phrases, our system naturally sidesteps several ...

Our submission is a non-structural Example-Based Machine Translation system that translates text from Arabic to English, using a parallel corpus aligned at the paragraph / sentence level. Each new input sentence is fragmented into phrases and those phrases are matched to example patterns, using various levels of morphological information. Source-language synonyms were derived automatically and ...

Recent work in Natural Language Processing has focused on learning distributed representations of words, phrases, sentences, paragraphs and even whole documents. In such representations, text is represented using multi-dimensional vectors and similarity between pieces of text can be measured using similarity between such vectors. In this project I focus my attention on learning representations ...