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Publikasjoner (4 av 4) Visa alla publikasjoner
Jönsson, S., Rennes, E., Falkenjack, J. & Jönsson, A. (2018). A Component based Approach to Measuring Text Complexity. In: : . Paper presented at The Seventh Swedish Language Technology Conference (SLTC-18), Stockholm, Sweden, 7-9 November 2018.
Åpne denne publikasjonen i ny fane eller vindu >>A Component based Approach to Measuring Text Complexity
2018 (engelsk)Konferansepaper, Publicerat paper (Annet vitenskapelig)
Abstract [en]

We present results from assessing text complexity based on a factorisation of text property measures into components. The components are evaluated by investigating their ability to classify texts belonging to different genres. Our results show that the text complexity components correctly classify texts belonging to specific genres, given that the genres adhere to certain textual conventions. We also propose a radar chart visualisation to communicate component based text complexity.

HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-154146 (URN)
Konferanse
The Seventh Swedish Language Technology Conference (SLTC-18), Stockholm, Sweden, 7-9 November 2018
Tilgjengelig fra: 2019-01-29 Laget: 2019-01-29 Sist oppdatert: 2019-04-08bibliografisk kontrollert
Falkenjack, J., Rennes, E., Fahlborg, D., Johansson, V. & Jönsson, A. (2017). Services for text simplification and analysis. In: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa: . Paper presented at 21st Nordic Conference on Computational Linguistics, NoDaLiDa, Wallenberg Conference Center, Gothenburg, Sweden, May 23-24, 2017 (pp. 309-313). Linköping University Electronic Press, 131, Article ID 044.
Åpne denne publikasjonen i ny fane eller vindu >>Services for text simplification and analysis
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2017 (svensk)Inngår i: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, Linköping University Electronic Press, 2017, Vol. 131, s. 309-313, artikkel-id 044Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

We present a language technology service for web editors’ work on making texts easier to understand, including tools for text complexity analysis, text simplification and text summarization. We also present a text analysis service focusing on measures of text complexity.

sted, utgiver, år, opplag, sider
Linköping University Electronic Press, 2017
Serie
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-141053 (URN)978-91-7685-601-7 (ISBN)
Konferanse
21st Nordic Conference on Computational Linguistics, NoDaLiDa, Wallenberg Conference Center, Gothenburg, Sweden, May 23-24, 2017
Tilgjengelig fra: 2017-09-21 Laget: 2017-09-21 Sist oppdatert: 2019-07-03bibliografisk kontrollert
Rennes, E. & Jönsson, A. (2015). A Tool for Automatic Simplification of Swedish Texts. In: Proceedings of the 20th Nordic Conference of Computational Linguistics (NoDaLiDa-2015), Vilnius, Lithuania: . Paper presented at 20th Nordic Conference of Computational Linguistics (pp. 317-320).
Åpne denne publikasjonen i ny fane eller vindu >>A Tool for Automatic Simplification of Swedish Texts
2015 (engelsk)Inngår i: Proceedings of the 20th Nordic Conference of Computational Linguistics (NoDaLiDa-2015), Vilnius, Lithuania, 2015, s. 317-320Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

We present a rule based automatic text simplification tool for Swedish. The tool is designed to facilitate experimentation with various simplification techniques. The architecture of the tool is inspired by and partly built on a previous text simplification tool for Swedish, CogFLUX. New functionality, new operation types, and new simplification operations were added.

HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-128185 (URN)978-91-7519-098-3 (ISBN)
Konferanse
20th Nordic Conference of Computational Linguistics
Tilgjengelig fra: 2016-05-20 Laget: 2016-05-20 Sist oppdatert: 2018-01-10bibliografisk kontrollert
Rennes, E. & Jönsson, A. (2014). The Impact of Cohesion Errors in Extraction Based Summaries. In: LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION: . Paper presented at 9th International Conference on Language Resources and Evaluation (LREC) (pp. 1575-1582). European Language Resources Association
Åpne denne publikasjonen i ny fane eller vindu >>The Impact of Cohesion Errors in Extraction Based Summaries
2014 (engelsk)Inngår i: LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, European Language Resources Association, 2014, s. 1575-1582Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

We present results from an eye tracking study of automatic text summarization. Automatic text summarization is a growing field due to the modern world’s Internet based society, but to automatically create perfect summaries is challenging. One problem is that extraction based summaries often have cohesion errors. By the usage of an eye tracking camera, we have studied the nature of four different types of cohesion errors occurring in extraction based summaries. A total of 23 participants read and rated four different texts and marked the most difficult areas of each text. Statistical analysis of the data revealed that absent cohesion or context and broken anaphoric reference (pronouns) caused some disturbance in reading, but that the impact is restricted to the effort to read rather than the comprehension of the text. However, erroneous anaphoric references (pronouns) were not always detected by the participants which poses a problem for automatic text summarizers. The study also revealed other potential disturbing factors.

sted, utgiver, år, opplag, sider
European Language Resources Association, 2014
Emneord
Automatic summarization, eye-tracking studies, cohesion
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-117528 (URN)000355611003030 ()978-2-9517408-8-4 (ISBN)
Konferanse
9th International Conference on Language Resources and Evaluation (LREC)
Tilgjengelig fra: 2015-04-30 Laget: 2015-04-30 Sist oppdatert: 2018-01-11
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-0932-7048