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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 Effekten av textaugmenteringsstrategier på träffsäkerhet, F1-värde och viktat F1-värde ; The effect of text data augmentation strategies on Accuracy, F1-score, and weighted F1-score Shmas, George; Svedberg, Jonatan. - : KTH, Hälsoinformatik och logistik, 2021 Abstract: Att utveckla en sofistikerad chatbotlösning kräver stora mängder textdata för att kunna anpassalösningen till en specifik domän. Att manuellt skapa en komplett uppsättning textdata, specialanpassat för den givna domänen och innehållandes ett stort antal varierande meningar som en människa kan tänkas yttra, är ett enormt tidskrävande arbete. För att kringgå detta tillämpas dataaugmentering för att generera mer data utifrån en mindre uppsättning redan existerande textdata. Softronic AB vill undersöka alternativa strategier för dataaugmentering med målet att eventuellt ersätta den nuvarande lösningen med en mer vetenskapligt underbyggd sådan. I detta examensarbete har prototypmodeller utvecklats för att jämföra och utvärdera effekten av olika textaugmenteringsstrategier. Resultatet av genomförda experiment med prototypmodellerna visar att augmentering genom synonymutbyten med en domänanpassad synonymordlista, presenterade märkbart förbättrade effekter på förmågan hos en NLU-modell att korrekt klassificera data, gentemot övriga utvärderade strategier. Vidare indikerar resultatet att ett samband föreligger mellan den strukturella variationsgraden av det augmenterade datat och de tillämpade språkparens semantiska likhetsgrad under tillbakaöversättningar. ; Developing a sophisticated chatbot solution requires large amounts of text data to be able to adapt the solution to a specific domain. Manually creating a complete set of text data, specially adapted for the given domain, and containing a large number of varying sentences that a human conceivably can express, is an exceptionally time-consuming task. To circumvent this, data augmentation is applied to generate more data based on a smaller set of already existing text data. Softronic AB wants to investigate alternative strategies for data augmentation with the aim of possibly replacing the current solution with a more scientifically substantiated one. In this thesis, prototype models have been developed to compare and evaluate the effect of different text augmentation strategies. The results of conducted experiments with the prototype models show that augmentation through synonym swaps with a domain-adapted thesaurus, presented noticeably improved effects on the ability of an NLU-model to correctly classify data, compared to other evaluated strategies. Furthermore, the result indicates that there is a relationship between the structural degree of variation of the augmented data and the applied language pair's semantic degree of similarity during back-translations. Keyword: back translation; brusinjektion; F1-score; F1-värde; Language Technology (Computational Linguistics); noise injection; RASA NLU; Språkteknologi (språkvetenskaplig databehandling); synonym swap; synonymutbyte; Text data augmentation; Textdataaugmentering; tillbakaöversättning URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296550 BASE Hide details 2 Improving Short Text Classification Through Global Augmentation Methods Marivate, Vukosi; Sefara, Tshephisho In: Lecture Notes in Computer Science ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE) ; https://hal.inria.fr/hal-03414750 ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.385-399, ⟨10.1007/978-3-030-57321-8_21⟩ (2020) BASE Show details 3 Characterization and classification of semantic image-text relations ... Otto, Christian; Springstein, Matthias; Anand, Avishek. - : London : Springer, 2020 BASE Show details 4 Characterization and classification of semantic image-text relations ... Otto, C.; Springstein, M.; Anand, A.. - : Berlin : Springer Nature, 2020 BASE Show details 5 Effective keyword search for low-resourced conversational speech Lileikyte, Rasa; Fraga-Silva, Thiago; Lamel, Lori... In: icassp 2017 ; https://hal.archives-ouvertes.fr/hal-01744176 ; icassp 2017, IEEE, Mar 2017, La Nouvelle Orléans, United States (2017) BASE Show details 6 A Data Augmentation Approach to Short Text Classification ROSARIO, RYAN ROBERT. - : eScholarship, University of California, 2017 In: ROSARIO, RYAN ROBERT. (2017). A Data Augmentation Approach to Short Text Classification. UCLA: Statistics 0891. Retrieved from: http://www.escholarship.org/uc/item/9cn7k2xq (2017) BASE Show details 7 A Data Augmentation Approach to Short Text Classification ROSARIO, RYAN ROBERT. - : eScholarship, University of California, 2017 BASE Show details 8 How Short is a Piece of String?: the Impact of Text Length and Text Augmentation on Short-text Classification Accuracy McCartney, Austin; Hensman, Svetlana; Longo, Luca In: Conference papers (2017) BASE Show details 9 Language Model Data Augmentation for Keyword Spotting Gorin, Arseniy; Lileikyté, Rasa; Huang, Guangpu... In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01837186 ; Annual Conference of the International Speech Communication Association , Jan 2016, San Francisco, United States (2016) BASE Show details 10 InLéctor: enhanced bilingual e-books for language learning Oliver González, Antoni; Coll-Florit, Marta; Iribarren i Donadeu, Teresa. - : International Journal on Advances in Education Research, 2014 BASE Show details 11 Modelling text prediction systems in low- and high-inflected languages Garay-Vitoria, Nestor; Abascal, Julio In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 24 (2010) 2, 117-135 BLLDB OLC Linguistik Show details 12 Text Augmentation: Inserting markup into natural language text with PPM Models Yeates, Stuart Andrew. - : The University of Waikato, 2006 BASE Show details 13 A Development System for Augmented Transition Network Grammars and a Large Grammar for Technical Prose. Mayer,John; Kieras,David E In: DTIC AND NTIS (1987) BASE Show details

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