| 1. |
- Hammarstedt, Martin, et al.
(författare)
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Sparv 5 Developer’s Guide
- 2022
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The Sparv Pipeline developed by Språkbanken Text is a text analysis tool run from the command line. This Developer’s Guide describes its general structure and key concepts and serves as an API documentation. Most importantly, it describes how to write plugins for Sparv 5 so that you can add your own functions to the toolkit.
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| 2. |
- Hannesdottir, Anna Helga, 1952
(författare)
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Förord
- 2022
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Ingår i: Acta regiae societatis scientiarum et litterarum gothoburgensis. Interdisciplinaria 21. - Göteborg : Kungl. Vetenskaps- och Vitterhets-Samhället i Göteborg. - 9789198464771 ; , s. 5-9
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Inledning till Kungl. Vetenskaps- och Vitterhets-Samhället i Göteborgs årliga vetenskapssymposium
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| 3. |
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| 4. |
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| 5. |
- Hammarstedt, Martin, et al.
(författare)
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Sparv 5 User Manual
- 2022
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The Sparv Pipeline developed by Språkbanken Text is a text analysis tool run from the command line. This user manual describes how to get Sparv 5 up and running on your own machine, how to configure it and how to use it for annotating your own corpora.
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| 6. |
- Rouces, Jacobo, 1985, et al.
(författare)
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Generating a Gold Standard for a Swedish Sentiment Lexicon
- 2018
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Ingår i: LREC 2018, Eleventh International Conference on Language Resources and Evaluation, May 7-12, 2018, Miyazaki (Japan). - Miyazaki : ELRA. - 9791095546009
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Konferensbidrag (refereegranskat)abstract
- We create a gold standard for sentiment annotation of Swedish terms, using the freely available SALDO lexicon and the Gigaword corpus. For this purpose, we employ a multi-stage approach combining corpus-based frequency sampling, direct score annotation and Best-Worst Scaling. In addition to obtaining a gold standard, we analyze the data from our process and we draw conclusions about the optimal sentiment model.
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| 7. |
- Rouces, Jacobo, 1985, et al.
(författare)
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SenSALDO: Creating a Sentiment Lexicon for Swedish
- 2018
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Ingår i: LREC 2018, Eleventh International Conference on Language Resources and Evaluation, 7-12 May 2018, Miyazaki (Japan). - Miyazaki : ELRA. - 9791095546009
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Konferensbidrag (refereegranskat)abstract
- The natural language processing subfield known as sentiment analysis or opinion mining has seen an explosive expansion over the last decade or so, and sentiment analysis has become a standard item in the NLP toolbox. Still, many theoretical and methodological questions remain unanswered and resource gaps unfilled. Most work on automated sentiment analysis has been done on English and a few other languages; for most written languages of the world, this tool is not available. This paper describes the development of an extensive sentiment lexicon for written (standard) Swedish. We investigate different methods for developing a sentiment lexicon for Swedish. We use an existing gold standard dataset for training and testing. For each word sense from the SALDO Swedish lexicon, we assign a real value sentiment score in the range [-1,1] and produce a sentiment label. We implement and evaluate three methods: a graph-based method that iterates over the SALDO structure, a method based on random paths over the SALDO structure and a corpus-driven method based on word embeddings. The resulting sense-disambiguated sentiment lexicon (SenSALDO) is an open source resource and freely available from Språkbanken, The Swedish Language Bank at the University of Gothenburg.
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| 8. |
- Volodina, Elena, 1973, et al.
(författare)
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The SweLL Language Learner Corpus: From Design to Annotation
- 2019
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Ingår i: Northern European Journal of Language Technology. - : Linkoping University Electronic Press. - 2000-1533. ; 6, s. 67-104
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Tidskriftsartikel (refereegranskat)abstract
- The article presents a new language learner corpus for Swedish, SweLL, and the methodology from collection and pesudonymisation to protect personal information of learners to annotation adapted to second language learning. The main aim is to deliver a well-annotated corpus of essays written by second language learners of Swedish and make it available for research through a browsable environment. To that end, a new annotation tool and a new project management tool have been implemented, – both with the main purpose to ensure reliability and quality of the final corpus. In the article we discuss reasoning behind metadata selection, principles of gold corpus compilation and argue for separation of normalization from correction annotation.
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| 9. |
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Intelligent CALL, granular systems and learner data: short papers from EUROCALL 2022
- 2022
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Proceedings (redaktörskap) (övrigt vetenskapligt/konstnärligt)abstract
- The 2022 EUROCALL conference was held in Reykjavik on 17-19 August 2022 as a fully online event hosted by the Vigdís Finnbogadóttir Institute for Foreign Languages, the University of Iceland, and the Árni Magnússon Institute for Icelandic Studies. The conference theme was Intelligent CALL, granular systems and learner data. This theme reflects the newest developments in the field of technology for language learning. Subfields such as natural language processing and machine learning not only enable smoother spoken and written communication between human learners and computers, but also offer ways in which language learning can be tailored to the needs of individual learners. By adding components of automatic speech recognition, text-to-speech systems, automatic feedback mechanisms, and tracking systems monitoring learners’ progress and their use of tools, applications are becoming better targeted. All of this is used to optimise the learning experience of individual learners. This volume includes 66 short papers by some of the EUROCALL 2022 presenters and it offers a combination of research studies and theoretical papers reflecting the subthemes of the conference. The articles are ordered alphabetically.
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| 10. |
- Kucher, Kostiantyn, et al.
(författare)
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Visual Analysis of Stance Markers in Online Social Media
- 2014
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Ingår i: Poster Abstracts of IEEE VIS 2014. - : IEEE. ; , s. 259-260
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Konferensbidrag (refereegranskat)abstract
- Stance in human communication is a linguistic concept relating to expressions of subjectivity such as the speakers’ attitudes and emotions. Taking stance is crucial for the social construction of meaning and can be useful for many application fields such as business intelligence, security analytics, or social media monitoring. In order to process large amounts of text data for stance analyses, linguists need interactive tools to explore the textual sources as well as the results of computational linguistics techniques. Both aspects are important for refining the analyses iteratively. In this work, we present a visual analytics tool for online social media text data and corresponding time-series that can be used to investigate stance phenomena and to refine the so-called stance markers collection.
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