Search for dissertations about: "automatic summarization"

Found 5 swedish dissertations containing the words automatic summarization.

2. 1. Resource Lean and Portable Automatic Text Summarization

   Author : Martin Hassel; Hercules Dalianis; Viggo Kann; Kerstin Severinson Eklundh; Horacio Saggion; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; holsum; language independent; holistic; summarization; lexical semantics; co-occurrence statistics; word space model; bag-of-words; bag-of-concepts; random indexing; swesum; news corpus; extract corpus; Computer science; Datalogi;

   Abstract : Today, with digitally stored information available in abundance, even for many minor languages, this information must by some means be filtered and extracted in order to avoid drowning in it. Automatic summarization is one such technique, where a computer summarizes a longer text to a shorter non-rendundant form. READ MORE

4. 2. Multi-Document Summarization and Semantic Relatedness

   Author : Olof Mogren; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; semantic relatedness; multi-document summarization; semantic similarity; automatic summarization;

   Abstract : Automatic summarization is the process of presenting the contents of written documents in a short, comprehensive fashion. Many approaches have been proposed for this problem, some of which extract content from the input documents (extractive methods), and others that generate the language in the summary based on some representation of the document contents (abstractive methods). READ MORE

5. 3. Representation learning for natural language

   Author : Olof Mogren; RISE; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

   Abstract : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. READ MORE

6. 4. Graph Algorithms for Large-Scale and Dynamic Natural Language Processing

   Author : Kambiz Ghoorchian; Magnus Boman; Magnus Sahlgren; Sumithra Velupillai; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Natural Language Processing; Lexical Disambiguation; Topic Modeling; Representation Learning; Graph Partitioning; Distributed Algorithms; Dimensionality Reduction; Random Indexing; ;

   Abstract : In Natural Language Processing, researchers design and develop algorithms to enable machines to understand and analyze human language. These algorithms benefit multiple downstream applications including sentiment analysis, automatic translation, automatic question answering, and text summarization. READ MORE

7. 5. Language Technology for the Lazy : Avoiding Work by Using Statistics and Machine Learning

   Author : Jonas Sjöbergh; Viggo Kann; Kimmo Koshenniemi; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; computer science; Computer science; Datalogi;

   Abstract : Language technology is when a computer processes human languages in some way. Since human languages are irregular and hard to define in detail, this is often difficult. Despite this, good results can many times be achieved. Often a lot of manual work is used in creating these systems though. READ MORE