scholarly journals Natural language input to a Computer-Based Glaucoma Consultation System

1979 ◽  
Author(s):  
Victor B. Ciesielski
Keyword(s):  
Natural Language ◽  
Consultation System ◽  
Computer Based ◽  
Language Input

scholarly journals Comparison of disclosure/concealment of medical information given to conversational agents or to physicians

2021 ◽  
Vol 27 (1) ◽  
pp. 146045822199486
Author(s):  
Nicholas RJ Frick ◽  
Felix Brünker ◽  
Björn Ross ◽  
Stefan Stieglitz
Keyword(s):  
Natural Language ◽  
Medical Information ◽  
Frame Of Reference ◽  
Future Research ◽  
Negative Consequences ◽  
Conversational Agents ◽  
Online Questionnaire ◽  
Computer Based

Within the anamnesis, medical information is frequently withheld, incomplete, or incorrect, potentially causing negative consequences for the patient. The use of conversational agents (CAs), computer-based systems using natural language to interact with humans, may mitigate this problem. The present research examines whether CAs differ from physicians in their ability to elicit truthful disclosure and discourage concealment of medical information. We conducted an online questionnaire with German participants ( N = 148) to assess their willingness to reveal medical information. The results indicate that patients would rather disclose medical information to a physician than to a CA; there was no difference in the tendency to conceal information. This research offers a frame of reference for future research on applying CAs during the anamnesis to support physicians. From a practical view, physicians might gain better understanding of how the use of CAs can facilitate the anamnesis.

Psychological Assessment Using Simulations with Unrestricted Natural Language Input

1994 ◽  
Vol 11 (4) ◽  
pp. 339-346 ◽  
Author(s):  
Michael Anbar ◽  
Michael Raulin
Keyword(s):  
Social Skills ◽  
Medical Students ◽  
Natural Language ◽  
Psychological Assessment ◽  
Emotional State ◽  
Role Playing ◽  
Psychological Behavior ◽  
Language Input ◽  
Psychological Dimensions

Five computerized role-playing scenarios, which accept unrestricted natural language input, were developed and administered to seventy-two freshman medical students. The scenarios, written in CASIP, measured and automatically scored each response on five psychological dimensions: Social skills, level of frustration, submissiveness, combativeness, and negotiative ability. The programmed scenarios also monitored nonverbal dimensions, which may reflect the emotional state of the testee. These included: The time it took to start an answer; the time spent reviewing the answer; the lengths of answers and of the words used. The testees behaved significantly different in handling the different role-playing scenarios. While no significant correlations were found between the psychological dimensions expressed in the different scenarios, the tests identified individual testees who displayed a pattern of extremes of psychological behavior.

scholarly journals NLP-based personal learning assistant for school education

2021 ◽  
Vol 11 (5) ◽  
pp. 4522
Author(s):  
Ann Neethu Mathew ◽  
Rohini V. ◽  
Joy Paulose
Keyword(s):  
Natural Language ◽  
Language Processing ◽  
Intelligent Tutoring System ◽  
Digital Transformation ◽  
Educational Systems ◽  
Retrieval Performance ◽  
Language Understanding ◽  
Personal Learning ◽  
Computer Based ◽  
The Subject

Computer-based knowledge and computation systems are becoming major sources of leverage for multiple industry segments. Hence, educational systems and learning processes across the world are on the cusp of a major digital transformation. This paper seeks to explore the concept of an artificial intelligence and natural language processing (NLP) based intelligent tutoring system (ITS) in the context of computer education in primary and secondary schools. One of the components of an ITS is a learning assistant, which can enable students to seek assistance as and when they need, wherever they are. As part of this research, a pilot prototype chatbot was developed, to serve as a learning assistant for the subject Scratch (Scratch is a graphical utility used to teach school children the concepts of programming). By the use of an open source natural language understanding (NLU) or NLP library, and a slackbased UI, student queries were input to the chatbot, to get the sought explanation as the answer. Through a two-stage testing process, the chatbot’s NLP extraction and information retrieval performance were evaluated. The testing results showed that the ontology modelling for such a learning assistant was done relatively accurately, and shows its potential to be pursued as a cloud-based solution in future.

Liana

1975 ◽  
Vol 30 ◽  
pp. 1-24
Author(s):  
I. Batoni ◽  
R. Henning ◽  
H. Lehmann ◽  
B. Schirmer ◽  
M. Zoeppritz
Keyword(s):  
Natural Language ◽  
Question Answering ◽  
Semantic Analysis ◽  
Tree Structure ◽  
Semantic Interpretation ◽  
Syntactic Analysis ◽  
Question Answering System ◽  
Continuous Text ◽  
Language Input

Abstract LIANA is a question answering system in PL/1. The program takes German natural language input and, by morphological, syntactic and semantic analysis, creates a representation of the text, which is stored and can be accessed for retrieval purposes. All individuals (objects) mentioned in the sentence are found and stored. In continuous text, therefore, information about individuals can be piled up successively. LIANA uses the programming concept of the Boston Syntax Analyzer. Therefore, the output of syntactic analysis is a tree structure, simulated through pointers which connect the nodes in the tree. Each node is associated with a feature table which is operated on by the semantic interpretation. Node and feature handling is facilitated by a set of macros for adding, erasing, and checking features and copying, deleting, and inserting nodes.

Computer-Based Indexing Systems: implications for the book indexer

1974 ◽  
Vol 9 (2) ◽  
pp. 53-57
Author(s):  
JOHN J. EYRE
Keyword(s):  
Natural Language ◽  
Subject Headings ◽  
Computer Based

The terms which comprise an entry in an index can be arranged in various ways. The use of roles or facets such as ‘thing - action - part - effect’ under which terms can be categorised, allows the use of citation orders which preserve the syntactic relationships between terms in a string. Alphabetization, and rotation in context, are simple methods but with certain disadvantages for the users. The citation order of B.T.I, results in a detailed index using punctuation to indicate relationships. PRECIS incorporates prepositions which preserve the context when strings are shunted to create the necessary entries. Articulated indexes use natural language phrases displayed under selected subject headings. These methods could be used to construct book indexes.

Natural Language Input for Fuzzy Diagnosis

Fuzzy Control ◽  
2000 ◽  
pp. 265-273 ◽  
Author(s):  
Norihide Sano ◽  
Ryoichi Takahashi
Keyword(s):  
Natural Language ◽  
Language Input ◽  
Fuzzy Diagnosis
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