| 1. |
- Akerstrom, Ulf, et al.
(författare)
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Comparison of Moisturizing Creams for the Prevention of Atopic Dermatitis Relapse: A Randomized Double-blind Controlled Multicentre Clinical Trial
- 2015
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Ingår i: Acta Dermato-Venereologica. - : Medical Journals Sweden AB. - 1651-2057 .- 0001-5555. ; 95:5, s. 587-592
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Tidskriftsartikel (refereegranskat)abstract
- Atopic dermatitis (AD) affects adults and children and has a negative impact on quality of life. The present multicentre randomized double-blind controlled trial showed a barrier-improving cream (5% urea) to be superior to a reference cream in preventing eczema relapse in patients with AD (hazard ratio 0.634, p = 0.011). The risk of eczema relapse was reduced by 37% (95% confidence interval (95% CI) 10-55%). Median time to relapse in the test cream group and in the reference cream group was 22 days and 15 days, respectively (p = 0.013). At 6 months 26% of the patients in the test cream group were still eczema free, compared with 10% in the reference cream group. Thus, the barrier-improving cream significantly prolonged the eczema-free time compared with the reference cream and decreased the risk of eczema relapse. The test cream was well tolerated in patients with AD.
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| 2. |
- Becket, Ralph, et al.
(författare)
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Spoken Language Translator: Phase Two Report
- 1997
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Spoken Language Translator (SLT) is a project whose long-term goal is the construction of practically useful systems capable of translating human speech from one language into another. The current SLT prototype, described in detail in this report, is capable of speech-to-speech translation between English and Swedish in either direction within the domain of airline flight inquiries, using a vocabulary of about 1500 words. Translation from English and Swedish into French is also possible, with slightly poorer performance.A good English-language speech recognizer existed before the start of the project, and has since been improved in several ways. During the project, we have constructed a Swedish-language recognizer, arguably the best system of its kind so far built. This has involved among other things collection of a large amount of Swedish training data. The recognizer is essentially domain-independent, but has been tuned to give high performance in the air travel inquiry domain.The main version of the Swedish recognizer is trained on the Stockholm dialect of Swedish, and achieves near-real-time performance with a word error rate of about 7%. Techniques developed partly under this project make it possible to port the recognizer to other Swedish dialects using only modest quantities of training data.On the language-processing side, we had at the start of the project a substantial domain-independent language-processing system for English, a preliminary Swedish version, and a sketchy set of rules to permit English to Swedish translation. We now have good versions of the language-processing system for English, Swedish and French, and fair to good support for translation in five of the six possible language- pairs. Translation is carried out using a novel robust architecture developed under the project. In essence, this translates as much of the input utterance as possible using a sophisticated grammar-based method, and then employs a much simpler set of word- to-word translation rules to fill in the gaps.The language-processing modules are all generic in nature, are based on large, linguistically motivated grammars, and can fairly easily be tuned to give good performance in new domains. Much of the work involved in the domain adaptation process can be carried out by non-experts using tools developed under the project.Formal comparisons are problematic, in view of the different domains and languages used and the lack of accepted evaluation criteria. None the less, the evidence at our disposal suggests that the current SLT prototype is no worse than the German Verbmobil demonstrator, in spite of a difference in project budget of more than an order of magnitude.
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| 3. |
- Bell, Linda, et al.
(författare)
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Modality Convergence in a Multimodal Dialogue System
- 2000
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Ingår i: Proceedings of Götalog. ; , s. 29-34
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Konferensbidrag (refereegranskat)abstract
- When designing multimodal dialogue systems allowing speech as well as graphical operations, it is important to understand not only how people make use of the different modalities in their utterances, but also how the system might influence a user’s choice of modality by its own behavior. This paper describes an experiment in which subjects interacted with two versions of a simulated multimodal dialogue system. One version used predominantly graphical means when referring to specific objects; the other used predominantly verbal referential expressions. The purpose of the study was to find out what effect, if any, the system’s referential strategy had on the user’s behavior. The results provided limited support for the hypothesis that the system can influence users to adopt another modality for the purpose of referring
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| 4. |
- Bell, Linda, et al.
(författare)
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The Swedish NICE Corpus – Spoken dialogues between children and embodied characters in a computer game scenario
- 2005
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Ingår i: Proceedings Interspeech 2005 - Eurospeech. - Lisbon, Portugal : ISCA. ; , s. 2765-2768, s. 2765-2768
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Konferensbidrag (refereegranskat)abstract
- This article describes the collection and analysis of a Swedish database of spontaneous and unconstrained children-machine dialogues. The Swedish NICE corpus consists of spoken dialogues between children aged 8 to 15 and embodied fairytale characters in a computer game scenario. Compared to previously collected corpora of children's computer-directed speech, the Swedish NICE corpus contains extended interactions, including three-party conversation, in which the young users used spoken dialogue as the primary means of progression in the game.
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| 5. |
- Borin, Lars, et al.
(författare)
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Swe-Clarin : Language Resources and Technology for Digital Humanities
- 2016
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Ingår i: <em>Extended Papers of the International Symposium on Digital Humanities</em>. - : CEUR. ; , s. 29-51, s. 29-51
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Konferensbidrag (refereegranskat)abstract
- CLARIN is a European Research Infrastructure Consortium (ERIC), which aims at (a) making extensive language-based materials available as primary research data to the humanities and social sciences (HSS); and (b) offering state-of-the-art language technology (LT) as an eresearch tool for this purpose, positioning CLARIN centrally in what is often referred to as the digital humanities (DH). The Swedish CLARIN node Swe-Clarin was established in 2015 with funding from the Swedish Research Council.In this paper, we describe the composition and activities of Swe-Clarin, aiming at meeting the requirements of all HSS and other researchers whose research involves using text and speech as primary research data, and spreading the awareness of what Swe-Clarin can offer these research communities. We focus on one of the central means for doing this: pilot projects conducted in collaboration between HSS researchers and Swe-Clarin, together formulating a research question, the addressing of which requires working with large language-based materials. Four such pilot projects are described in more detail, illustrating research on rhetorical history, second-language acquisition, literature, and political science. A common thread to these projects is an aspiration to meet the challenge of conducting research on the basis of very large amounts of textual data in a consistent way without losing sight of the individual cases making up the mass of data, i.e., to be able to move between Moretti’s “distant” and “close reading” modes.While the pilot projects clearly make substantial contributions to DH, they also reveal some needs for more development, and in particular a need for document-level access to the text materials. As a consequence of this, work has now been initiated in Swe-Clarin to meet this need, so that Swe-Clarin together with HSS scholars investigating intricate research questions can take on the methodological challenges of big-data language-based digital humanities.
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| 6. |
- Borin, Lars, 1957, et al.
(författare)
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Swe-Clarin: Language resources and technology for Digital Humanities
- 2017
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Ingår i: Digital Humanities 2016. Extended Papers of the International Symposium on Digital Humanities (DH 2016) Växjö, Sweden, November, 7-8, 2016. Edited by Koraljka Golub, Marcelo Milra. Vol-2021. - Aachen : M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen.. - 1613-0073.
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Konferensbidrag (refereegranskat)abstract
- CLARIN is a European Research Infrastructure Consortium (ERIC), which aims at (a) making extensive language-based materials available as primary research data to the humanities and social sciences (HSS); and (b) offering state-of-the-art language technology (LT) as an e-research tool for this purpose, positioning CLARIN centrally in what is often referred to as the digital humanities (DH). The Swedish CLARIN node Swe-Clarin was established in 2015 with funding from the Swedish Research Council. In this paper, we describe the composition and activities of Swe-Clarin, aiming at meeting the requirements of all HSS and other researchers whose research involves using text and speech as primary research data, and spreading the awareness of what Swe-Clarin can offer these research communities. We focus on one of the central means for doing this: pilot projects conducted in collaboration between HSS researchers and Swe-Clarin, together formulating a research question, the addressing of which requires working with large language-based materials. Four such pilot projects are described in more detail, illustrating research on rhetorical history, second-language acquisition, literature, and political science. A common thread to these projects is an aspiration to meet the challenge of conducting research on the basis of very large amounts of textual data in a consistent way without losing sight of the individual cases making up the mass of data, i.e., to be able to move between Moretti’s “distant” and “close reading” modes. While the pilot projects clearly make substantial contributions to DH, they also reveal some needs for more development, and in particular a need for document-level access to the text materials. As a consequence of this, work has now been initiated in Swe-Clarin to meet this need, so that Swe-Clarin together with HSS scholars investigating intricate research questions can take on the methodological challenges of big-data language-based digital humanities.
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| 7. |
- Borin, Lars, 1957, et al.
(författare)
-
Swe-Clarin: Language resources and technology for digital humanities
- 2016
-
Ingår i: CEUR Workshop Proceedings. - 1613-0073. ; 2021, s. 29-51
-
Konferensbidrag (refereegranskat)abstract
- CLARIN is a European Research Infrastructure Consortium (ERIC), which aims at (a) making extensive language-based materials available as primary research data to the humanities and social sciences (HSS); and (b) offering state-of-the-art language technology (LT) as an e-research tool for this purpose, positioning CLARIN centrally in what is often referred to as the digital humanities (DH). The Swedish CLARIN node Swe-Clarin was established in 2015 with funding from the Swedish Research Council. In this paper, we describe the composition and activities of Swe-Clarin, aiming at meeting the requirements of all HSS and other researchers whose research involves using text and speech as primary research data, and spreading the awareness of what Swe-Clarin can offer these research communities. We focus on one of the central means for doing this: pilot projects conducted in collaboration between HSS researchers and Swe-Clarin, together formulating a research question, the addressing of which requires working with large language-based materials. Four such pilot projects are described in more detail, illustrating research on rhetorical history, second-language acquisition, literature, and political science. A common thread to these projects is an aspiration to meet the challenge of conducting research on the basis of very large amounts of textual data in a consistent way without losing sight of the individual cases making up the mass of data, i.e., to be able to move between Moretti’s “distant” and “close reading” modes.
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| 8. |
- Boye, Johan, et al.
(författare)
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Contextual reasoning in multimodal dialogue systems : two case studies
- 2004
-
Ingår i: Proceedings of The 8th Workshop on the Semantics and Pragmatics of Dialogue Catalogue'04. - Barcelona. ; , s. 19-21
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Konferensbidrag (refereegranskat)abstract
- This paper describes an approach to contextual reasoning for interpretation ofspoken multimodal dialogue. The approach is based on combining recencybased search for antecedents with an object-oriented domain representation insuch a way that the search is highly constrained by the type information of theantecedents. By furthermore representingcandidate antecedents from the dialoguehistory and visual context in a uniformway, a single machinery (based on -reduction in lambda calculus) can be usedfor resolving many kinds of underspecified utterances. The approach has beenimplemented in two highly different domains.
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| 9. |
- Boye, Johan, et al.
(författare)
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Language-Processing Strategies and Mixed-Initiative Dialogues
- 1999
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- We describe an implemented spoken-language dialogue system for a travel-planning domain, which accesses a commercially available travel-information web-server and supports a flexible mixed-initiative dialogue strategy. We argue, based on data from initial Wizard-of-Oz experiments, that mixed-initiative strategies are appropriate for many types of user, but require more sophisticated architectures for processing of language and dialogue; we then use these observations to motivate an architecture which combines parallel deep and shallow natural language analysis engines and an agenda-driven dialogue manager. We outline the top-level processing strategy used by the dialogue manager, and also a novel formalism, which we call Flat Utterance Description, that allows us to reduce the output of the deep and shallow language-processing engines to a common representation.
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| 10. |
- Boye, Johan, et al.
(författare)
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Multi-slot semantics for natural-language call routing systems
- 2007
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Ingår i: Proceedings of Bridging the Gap. ; , s. 68-75, s. 68-75
-
Konferensbidrag (refereegranskat)abstract
- Statistical classification techniques for natural-language call routing systems have matured to the point where it is possible to distinguish between several hundreds of semantic categories with an accuracy that is sufficient for commercial deployments. For category sets of this size, the problem of maintaining consistency among manually tagged utterances becomes limiting, as lack of consistency in the training data will degrade performance of the classifier. It is thus essential that the set of categories be structured in a way that alleviates this problem, and enables consistency to be preserved as the domain keeps changing. In this paper, we describe our experiences of using a two-level multi-slot semantics as a way of meeting this problem. Furthermore, we explore the ramifications of the approach with respect to classification, evaluation and dialogue design for call routing systems.
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