| 1. |
- Rouces, Jacobo, 1985, et al.
(author)
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Political Stance Analysis Using Swedish Parliamentary Data
- 2019
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In: CEUR Workshop Proceedings (Vol. 2364). Digital Humanities in the Nordic Countries 4th Conference, Copenhagen, Denmark, March 5-8, 2019.. - Aachen : CEUR. - 1613-0073.
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Conference paper (peer-reviewed)abstract
- We process and visualize Swedish parliamentary data using methods from statistics and machine learning, which allows us to obtain insight into the political processes behind the data. We produce plots that let us infer the relative stance of political parties and their members on different topics. In addition, we can infer the degree of homogeneity of individual votes within different parties, as well as the degree of multi-dimensionality of Swedish politics.
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| 2. |
- Borin, Lars, 1957, et al.
(author)
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ITG-plattformen som korpusverktyg
- 2006
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In: Fjärde svenska lingvistikkonferensen (Sling 2006), 27–28 april 2006, Stockholm.
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Conference paper (other academic/artistic)abstract
- En genomgång och handfast presentation om hur ITG-plattformen kan användas som korpusverktyg.
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| 3. |
- Borin, Lars, 1957, et al.
(author)
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Mining semantics for culturomics: towards a knowledge-based approach
- 2013
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In: 2013 ACM International Workshop on Mining Unstructured Big Data Using Natural Language Processing, UnstructureNLP 2013, Held at 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013; San Francisco, CA; United States; 28 October 2013 through 28 October 2013. - New York, NY, USA : ACM. - 9781450324151 ; , s. 3-10
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Conference paper (peer-reviewed)abstract
- The massive amounts of text data made available through the Google Books digitization project have inspired a new field of big-data textual research. Named culturomics, this field has attracted the attention of a growing number of scholars over recent years. However, initial studies based on these data have been criticized for not referring to relevant work in linguistics and language technology. This paper provides some ideas, thoughts and first steps towards a new culturomics initiative, based this time on Swedish data, which pursues a more knowledge-based approach than previous work in this emerging field. The amount of new Swedish text produced daily and older texts being digitized in cultural heritage projects grows at an accelerating rate. These volumes of text being available in digital form have grown far beyond the capacity of human readers, leaving automated semantic processing of the texts as the only realistic option for accessing and using the information contained in them. The aim of our recently initiated research program is to advance the state of the art in language technology resources and methods for semantic processing of Big Swedish text and focus on the theoretical and methodological advancement of the state of the art in extracting and correlating information from large volumes of Swedish text using a combination of knowledge-based and statistical methods.
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| 4. |
- Virk, Shafqat, 1979, et al.
(author)
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Exploiting frame semantics and frame-semantic parsing for automatic extraction of typological information from descriptive grammars of natural languages
- 2019
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In: International Conference Recent Advances in Natural Language Processing, RANLP. - Shoumen : Incoma Ltd. - 1313-8502. - 9789544520557 - 9789544520564 ; 2019-September, s. 1247-1256
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Conference paper (peer-reviewed)abstract
- We describe a novel system for automatic extraction of typological linguistic information from descriptive grammars of natural languages, applying the theory of frame semantics in the form of frame-semantic parsing. The current proof-of-concept system covers a few selected linguistic features, but the methodology is general and can be extended not only to other typological features but also to descriptive grammars written in languages other than English. Such a system is expected to be a useful assistance for automatic curation of typological databases which otherwise are built manually, a very labor and time consuming as well as cognitively taxing enterprise.
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| 5. |
- Alfter, David, 1986, et al.
(author)
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Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning
- 2019
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In: Linköping Electronic Conference Proceedings. - Linköping : Linköping University Press. - 1650-3686 .- 1650-3740. - 9789176850343
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Conference paper (peer-reviewed)abstract
- Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.
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| 6. |
- Kokkinakis, Dimitrios, 1965, et al.
(author)
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HFST-SweNER . A New NER Resource for Swedish
- 2014
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In: Proceedings of the 9th edition of the Language Resources and Evaluation Conference (LREC), Reykjavik 26 - 31 May 2014.. - 9782951740884 ; , s. 2537-2543
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Conference paper (peer-reviewed)abstract
- Named entity recognition (NER) is a knowledge-intensive information extraction task that is used for recognizing textual mentions of entities that belong to a predefined set of categories, such as locations, organizations and time expressions. NER is a challenging, difficult, yet essential preprocessing technology for many natural language processing applications, and particularly crucial for language understanding. NER has been actively explored in academia and in industry especially during the last years due to the advent of social media data. This paper describes the conversion, modeling and adaptation of a Swedish NER system from a hybrid environment, with integrated functionality from various processing components, to the Helsinki Finite-State Transducer Technology (HFST) platform. This new HFST-based NER (HFST-SweNER) is a full-fledged open source implementation that supports a variety of generic named entity types and consists of multiple, reusable resource layers, e.g., various n-gram-based named entity lists (gazetteers).
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| 7. |
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| 8. |
- Adesam, Yvonne, 1975, et al.
(author)
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The Eukalyptus Treebank of Written Swedish
- 2018
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In: Seventh Swedish Language Technology Conference (SLTC), Stockholm, 7–9 November 2018.
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Conference paper (other academic/artistic)
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| 9. |
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| 10. |
- Ahlberg, Malin, 1986, et al.
(author)
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Korp and Karp – a bestiary of language resources: the research infrastructure of Språkbanken
- 2013
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In: Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013), May 22–24, 2013, Oslo University, Norway. NEALT Proceedings Series 16. - Linköping : Linköping University Electronic Press. - 1650-3686 .- 1650-3740.
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Conference paper (peer-reviewed)abstract
- A central activity in Språkbanken, an R&D unit at the University of Gothenburg, is the systematic construction of a research infrastructure based on interoperability and widely accepted standards for metadata and data. The two main components of this infrastructure deal with text corpora and with lexical resources. For modularity and flexibility, both components have a backend, or server-side part, accessed through an API made up of a set of well-defined web services. This means that there can be any number of different user interfaces to these components, corresponding, e.g., to different research needs. Here, we will demonstrate the standard corpus and lexicon search interfaces, designed primarily for linguistic searches: Korp and Karp.
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