Essays about: "word similarity"
Showing result 16 - 20 of 42 essays containing the words word similarity.
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16. Evaluating Hierarchical LDA Topic Models for Article Categorization
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : With the vast amount of information available on the Internet today, helping users find relevant content has become a prioritized task in many software products that recommend news articles. One such product is Opera for Android, which has a news feed containing articles the user may be interested in. READ MORE
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17. Detecting changes in word associations over short time periods : Analysing Twitter data with Word2Vec over time
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The meanings and connotations of words are constantly changing. Traditionally, one way to track such changes over relatively long time periods is by analysing variations in word usage in written records such as books and newspapers, and by comparing dictionary entries for the words of interest. READ MORE
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18. Application of Topic Models for Test Case Selection : A comparison of similarity-based selection techniques
University essay from Linköpings universitet/Programvara och systemAbstract : Regression testing is just as important for the quality assurance of a system, as it is time consuming. Several techniques exist with the purpose of lowering the execution times of test suites and provide faster feedback to the developers, examples are ones based on transition-models or string-distances. READ MORE
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19. Low Supervision, Low Corpus size, Low Similarity! Challenges in cross-lingual alignment of word embeddings : An exploration of the limitations of cross-lingual word embedding alignment in truly low resource scenarios
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Cross-lingual word embeddings are an increasingly important reseource in cross-lingual methods for NLP, particularly for their role in transfer learning and unsupervised machine translation, purportedly opening up the opportunity for NLP applications for low-resource languages. However, most research in this area implicitly expects the availablility of vast monolingual corpora for training embeddings, a scenario which is not realistic for many of the world's languages. READ MORE
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20. Evaluation of New Features for Extractive Summarization of Meeting Transcripts : Improvement of meeting summarization based on functional segmentation, introducing topic model, named entities and domain specific frequency measure
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Automatic summarization of meeting transcripts has been widely studied in last two decades, achieving continuous improvements in terms of the standard summarization metric (ROUGE). A user study has shown that people noticeably prefer abstractive summarization rather than the extractive approach. READ MORE