| 1. |
- Gambäck, Björn, et al.
(författare)
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Active Learning for Dialogue Act Classification
- 2011. - 9
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Konferensbidrag (refereegranskat)abstract
- Active learning techniques were employed for classification of dialogue acts over two dialogue corpora, the English human-human Switchboard corpus and the Spanish human-machine Dihana corpus. It is shown clearly that active learning improves on a baseline obtained through a passive learning approach to tagging the same data sets. An error reduction of 7% was obtained on Switchboard, while a factor 5 reduction in the amount of labeled data needed for classification was achieved on Dihana. The passive Support Vector Machine learner used as baseline in itself significantly improves the state of the art in dialogue act classification on both corpora. On Switchboard it gives a 31% error reduction compared to the previously best reported result.
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| 2. |
- Gambäck, Björn, et al.
(författare)
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An Amharic Corpus for Machine Learning
- 2009
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Ingår i: Proccedings of the 6th World Congress on African Linguistics. - : Matthias Brenzinger.
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Konferensbidrag (refereegranskat)
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| 3. |
- Gambäck, Björn, et al.
(författare)
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Experiences of Language Engineering Algorithm Reuse
- 2000. - 1
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Konferensbidrag (refereegranskat)abstract
- Abstract Traditionally, the level of reusability of language processing resources within the research community has been very low. Most of the recycling of linguistic resources has been concerned with reuse of data, e.g., corpora, lexica, and grammars, while the algorithmic resources far too seldom have been shared between dierent projects and institutions. As a consequence, researchers who are willing to reuse somebody else's processing components have been forced to invest major eorts into issues of integration, inter-process communication, and interface design. In this paper, we discuss the experiences drawn from the svensk project regarding the issues on reusability of language engineering software as well as some of the challenges for the research community which are prompted by them. Their main characteristics can be laid out along three dimensions; technical/software challenges, linguistic challenges, and `political' challenges. In the end, the unavoidable conclusion is that it denitely is time to bring more aspects of engineering into the Computational Linguistic community!
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| 4. |
- Gambäck, Björn, et al.
(författare)
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Methods for Amharic part-of-speech tagging
- 2009. - 1
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Ingår i: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics.
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Konferensbidrag (refereegranskat)abstract
- The paper describes a set of experiments involving the application of three state-of- the-art part-of-speech taggers to Ethiopian Amharic, using three different tagsets. The taggers showed worse performance than previously reported results for Eng- lish, in particular having problems with unknown words. The best results were obtained using a Maximum Entropy ap- proach, while HMM-based and SVM- based taggers got comparable results.
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| 5. |
- Gambäck, Björn, et al.
(författare)
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Methods for Amharic Part-of-Speech Tagging
- 2009
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Ingår i: EACL 2009 WS on Language Technology for African Languages. - : Guy De Pauw, Gilles-Maurice de Schryver, Lori Levin. - 1932432256
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Konferensbidrag (refereegranskat)
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| 6. |
- Olsson, Fredrik, et al.
(författare)
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Composing a general-purpose toolbox for Swedish
- 2000. - 1
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Konferensbidrag (refereegranskat)abstract
- The papaer discusses the lessons we have learned from the work on building a reusable toolset for Swedish within the framework of GATE, the General Architecture for Text Engineering, from the University of Sheffield, UK. We describe our toolbox SVENSK and the reasons behing the choices made in the design, as well as the overall conclusions for language processing toolbox design which can be drawn.
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| 7. |
- Olsson, Fredrik, et al.
(författare)
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Reusing Swedish Language Processing Resources in SVENSK
- 1998. - 1
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Konferensbidrag (refereegranskat)abstract
- The SVENSK project is developing an integrated toolbox of language processing components and resources for Swedish. SVENSK employs GATE, General Architecture for Text Engineering from the University of Sheffield as a platform in which the components are to be integrated. The goal is that the resources included in SVENSK should be freely available for noncommercial use. A wide range of different modules have been incorporated so far, both in-house modules, commercially available modules, and modules from academia. The results of the integration of the modules in the GATE environment are very encouraging: it is possible to mix modules from different sources, written in programming languages from completely different paradigms and have them interact with each other, thus maintaining a high degree of reuse of algorithmical resources. However, the use of Tcl/Tk and the associated API for processing structurally relatively complex data, is time consuming and considerably slows the processing in GATE.
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