| 1. |
- Amundin, Mats, et al.
(författare)
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A proposal to use distributional models to analyse dolphin vocalisation
- 2017
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Ingår i: Proceedings of the 1st International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, VIHAR 2017. - 9782956202905 ; , s. 31-32
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Konferensbidrag (refereegranskat)abstract
- This paper gives a brief introduction to the starting points of an experimental project to study dolphin communicative behaviour using distributional semantics, with methods implemented for the large scale study of human language.
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| 2. |
- Andersson-Schwarz, Jonas, et al.
(författare)
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Transaktionsdimman på nätet hotar digitaliseringen
- 2017
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Ingår i: Dagens Nyheter. - 1101-2447.
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Tidskriftsartikel (populärvet., debatt m.m.)abstract
- På nätet är vi inte längre bara medborgare eller kunder. Vi är också varor. De data vi läm-nar ut om oss själva är vad andra tjänar pengar på. Men vi vet inte vad de är värda ochvad vi skulle kunna begära i betalning. Transaktionsdimman på internet bör skingrasoch ersättas av transaktionstransparens, skriver sju medie- och it-debattörer.
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| 3. |
- Bergren, Max, et al.
(författare)
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Inferring the location of authors from words in their texts
- 2015
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Ingår i: Proceedings of the 20th Nordic Conference of Computational Linguistics. - Linköping : Linköping University Electronic Press. - 9789175190983
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Konferensbidrag (refereegranskat)abstract
- For the purposes of computational dialec- tology or other geographically bound text analysis tasks, texts must be annotated with their or their authors’ location. Many texts are locatable but most have no ex- plicit annotation of place. This paper describes a series of experiments to de- termine how positionally annotated mi- croblog posts can be used to learn loca- tion indicating words which then can be used to locate blog texts and their authors. A Gaussian distribution is used to model the locational qualities of words. We in- troduce the notion of placeness to describe how locational words are.We find that modelling word distributions to account for several locations and thus several Gaussian distributions per word, defining a filter which picks out words with high placeness based on their local distributional context, and aggregating lo- cational information in a centroid for each text gives the most useful results. The re- sults are applied to data in the Swedish language.
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| 4. |
- Espinoza, Fredrik, et al.
(författare)
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Analysis of Open Answers to Survey Questions throughInteractive Clustering and Theme Extraction
- 2018
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Ingår i: Proceedings of Conference on Human Information Interaction & Retrieval. - New York, New York, USA : ACM Digital Library. ; , s. 317-320
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Konferensbidrag (refereegranskat)abstract
- This paper describes design principles for and the implementation of Gavagai Explorer—a new application which builds on interactive text clustering to extract themes from topically coherent text sets such as open text answers to surveys or questionnaires.An automated system is quick, consistent, and has full coverage over the study material. A system allows an analyst to analyze more answers in a given time period; provides the same initial results regardless of who does the analysis, reducing the risks of inter-rater discrepancy; and does not risk miss responses due to fatigue or boredom. These factors reduce the cost and increase the reliability of the service. The most important feature, however, is relieving the human analyst from the frustrating aspects of the coding task, freeing the effort to the central challenge of understanding themes. Gavagai Explorer is available on-line at http://explorer.gavagai.se
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| 5. |
- Fano, E., et al.
(författare)
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Uppsala University and Gavagai at CLEF Erisk : Comparing word embedding models
- 2019
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Ingår i: CEUR Workshop Proceedings. - : CEUR-WS.
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Konferensbidrag (refereegranskat)abstract
- This paper describes an experiment to evaluate the performance of three different types of semantic vectors or word embeddings-random indexing, GloVe, and ELMo-and two different classification architectures-linear regression and multi-layer perceptrons-for the specific task of identifying authors with eating disorders from writings they publish on a discussion forum. The task requires the classifier to process texts written by the authors in the sequence they were published, and to identify authors likely to be at risk of suffering from eating disorders as early as possible. The data are part of the eRISK evaluation task of CLEF 2019 and evaluated according to the eRISK metrics. Contrary to our expectations, we did not observe a clear-cut advantage using the recently popular contextualized ELMo vectors over the commonly used and much more light-weight GloVe vectors, or the more handily learnable random indexing vectors.
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| 6. |
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| 7. |
- Iatropoulos, Georgios, et al.
(författare)
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The language of smell : Connecting linguistic and psychophysical properties of odor descriptors
- 2018
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Ingår i: Cognition. - : Elsevier BV. - 0010-0277 .- 1873-7838. ; 178, s. 37-49
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Tidskriftsartikel (refereegranskat)abstract
- The olfactory sense is a particularly challenging domain for cognitive science investigations of perception, memory, and language. Although many studies show that odors often are difficult to describe verbally, little is known about the associations between olfactory percepts and the words that describe them. Quantitative models of how odor experiences are described in natural language are therefore needed to understand how odors are perceived and communicated. In this study, we develop a computational method to characterize the olfaction related semantic content of words in a large text corpus of internet sites in English. We introduce two new metrics: olfactory association index (OAI, how strongly a word is associated with olfaction) and olfactory specificity index (OSI, how specific a word is in its description of odors). We validate the OAI and OSI metrics using psychophysical datasets by showing that terms with high OM have high ratings of perceived olfactory association and are used to describe highly familiar odors. In contrast, terms with high OSI have high inter-individual consistency in how they are applied to odors. Finally, we analyze Dravnieks's (1985) dataset of odor ratings in terms of OAI and OSI. This analysis reveals that terms that are used broadly (applied often but with moderate ratings) tend to be olfaction-unrelated and abstract (e.g., heavy or light; low OAI and low OSI) while descriptors that are used selectively (applied seldom but with high ratings) tend to be olfaction-related (e.g., vanilla or licorice; high OM). Thus, OAI and OSI provide behaviorally meaningful information about olfactory language. These statistical tools are useful for future studies of olfactory perception and cognition, and might help integrate research on odor perception, neuroimaging, and corpus-based linguistic models of semantic organization.
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| 8. |
- Kann, Viggo, 1964-, et al.
(författare)
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En rekommenderad svensk språkteknologisk terminologi
- 2016
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Ingår i: Proc. Sixth Swedish Language Technology Conference. - Umeå : Svenska språkteknologitermgruppen.
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Konferensbidrag (refereegranskat)abstract
- In 2014 the Swedish Language Technology Terminology Group was created, with representatives from different parts of the language technology community, both higher education and research, industry and governmental agencies. In 2016 we have recommended Swedish terms for the 270 language technological concepts in the Bank of Finnish Terminology in Arts and Sciences. The language technology terms are published on folkets-lexikon.csc.kth.se/LTterminology, where anyone can lookup Swedish and English terms interactively and read the full list of terms. We also try to enter the most important Swedish terminology into the Swedish Wikipedia. We encourage use of these Swedish terms and welcome suggestions for improvements of the Swedish terminology.
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| 9. |
- Kanoulas, Evangelos, et al.
(författare)
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Practical Issues in Information Access System Evaluation
- 2017
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Ingår i: SIGIR Forum. - : ACM Digital Library. - 0163-5840 .- 1558-0229. ; 51:1, s. 67-72
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Tidskriftsartikel (refereegranskat)abstract
- This paper is a report from a workshop on Evaluation of Information Systems in Commercial Settings, inspired by the industrial day at SIGIR 2016. Small and medium size enterprises often lack the resources needed to develop proper evaluation infrastructures, but also to follow the research development in the field of evaluation. Similarly,academics lag behind in (a) understanding real practical issues raised when it comes to the evaluation of real systems - e.g. even depth-k pooling is often infeasible when an SME has a single ranking algorithm developed, and (b) sensing the breadth of applications and tasks on which systems require evaluation and the challenges of them. Large enterprises with the necessary resources and the data sets and flows to work with are hesitant to make their tests public, for both commercial and legal reasons.This workshop brought together representatives from technology companies, large and small, media houses, industrial consultants and academic research in information access for a discussion on practical issues and solutions to these issues.
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| 10. |
- Karlgren, Jussi
(författare)
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Adopting systematic evaluation benchmarks in operational settings
- 2019
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Ingår i: <em>Information Retrieval Evaluation in a Changing World</em>. - Cham : Springer Berlin/Heidelberg. ; , s. 583-590
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Bokkapitel (refereegranskat)abstract
- Evaluationofinformationsystemsincommercialandindustrialsettings differs from academic evaluation of methodology in important ways. Those dif- ferences have to do with differing organisational priorities between practice and research. Some of those priorities can be adjusted, others must be taken into account, to be able to include evaluation into an operational development pipeline.
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