Search for dissertations about: "automatic term extraction"

Showing result 1 - 5 of 8 swedish dissertations containing the words automatic term extraction.

2. 1. Computational Terminology : Exploring Bilingual and Monolingual Term Extraction

   Author : Jody Foo; Magnus Merkel; Lars Ahrenberg; Dimitrios Kokkinakis; Linköpings universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; terminology; automatic term extraction; automatic term recognition; computational terminology; terminology management;

   Abstract : Terminologies are becoming more important to modern day society as technology and science continue to grow at an accelerating rate in a globalized environment. Agreeing upon which terms should be used to represent which concepts and how those terms should be translated into different languages is important if we wish to be able to communicate with as little confusion and misunderstandings as possible. READ MORE

4. 2. Combining Machine Learning and Natural Language Processing for Automatic Keyword Extraction

   Author : Anette Hulth; Lars Asker; Robert Gaizauskas; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; automatic keyword indexing; automatic keyword extraction; machine learning; natural language processing; Computer science; Datavetenskap;

   Abstract : Automatic keyword extraction is the task of automatically selecting a small set of terms describing the content of a single document. That a keyword is extracted means that it is present verbatim in the document to which it is assigned. READ MORE

5. 3. Computer-based detection of cardiac arrhythmias : methods and systems

   Author : Mats-Erik Nygårds; Linköpings universitet; []
   Keywords : Arrhythmia; monitoring; feature extraction; QRS delineation; power spectrum; ventricular fibrillation; MEDICINE; MEDICIN;

   Abstract : The aim of this study was to develop methods and systems which could improve the accuracy or arrhythmia monitoring and analysis of long-term ECGs and eliminate or reduce the need for continuous visual ECG screening. The detection of arrhythmias was based on an automatic classification of heart beats, using waveform features obtained from a basis signals representation. READ MORE

6. 4. Drill Failure Detection based on Sound using Artificial Intelligence

   Author : Thanh Tran; Jan Thim; Sebastian Bader; Kalle Åström; Mittuniversitetet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Convolutional neural network; machine failure detection; Mel-spectrogram; long short-term memory; sound signal processing;

   Abstract : In industry, it is crucial to be able to detect damage or abnormal behavior in machines. A machine's downtime can be minimized by detecting and repairing faulty components of the machine as early as possible. It is, however, economically inefficient and labor-intensive to detect machine fault sounds manual. READ MORE

7. 5. Designing for Automated Digital Preservation : Model, Pre-Ingest, and Error Handling

   Author : Parvaneh Westerlund; Tero Päivärinta; Jörgen Nilsson; Julie McLeod; Luleå tekniska universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Long-term Digital Preservation; Design Science Research; Information System; Information systems; Informationssystem;

   Abstract : With the rapid increase in the amount and complexity of data that is needed to be preserved, manual preservation activities produce complex, lengthy, and costly processes. Therefore, automation of preservation processes, together with modeling of workflows and streamlining, can help reduce costs and enhance the focus on preservation processes. READ MORE