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1
COVID-19 Twitter Monitor: Aggregating and Visualizing COVID-19 Related Trends in Social Media ...
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2
UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition ...
Furrer, Lenz; Cornelius, Joseph; Rinaldi, Fabio. - : Association for Computational Linguistics, 2019
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3
Approaching SMM4H with Merged Models and Multi-task Learning
In: Ellendorff, Tilia; Furrer, Lenz; Colic, Nicola; Aepli, Noëmi; Rinaldi, Fabio (2019). Approaching SMM4H with Merged Models and Multi-task Learning. In: Proceedings of the 4th Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, Florence, Italy, 2 August 2019 - 2 August 2019, 58-61. (2019)
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4
Crowdsourcing the OCR Ground Truth of a German and French Cultural Heritage Corpus ...
Clematide, Simon; Furrer, Lenz; Volk, Martin. - : Gesellschaft für Sprachtechnologie und Computerlinguistik (GSCL), 2018
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5
Crowdsourcing the OCR Ground Truth of a German and French Cultural Heritage Corpus
In: Clematide, Simon; Furrer, Lenz; Volk, Martin (2018). Crowdsourcing the OCR Ground Truth of a German and French Cultural Heritage Corpus. Journal for Language Technology and Computational Linguistics (JLCL), 33(1):25-47. (2018)
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6
OGER: OntoGene’s Entity Recogniser in the BeCalm TIPS Task
In: Furrer, Lenz; Rinaldi, Fabio (2017). OGER: OntoGene’s Entity Recogniser in the BeCalm TIPS Task. In: BioCreative V.5 Challenge Evaluation Workshop, Barcelona, Spain, 26 April 2017 - 27 April 2017, 175-182. (2017)
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7
Efficient and Accurate Entity Recognition for Biomedical Text
In: Rinaldi, Fabio; Furrer, Lenz; Basaldella, Marco (2017). Efficient and Accurate Entity Recognition for Biomedical Text. In: BioCreative VI Workshop, Bethesda, MD, USA, 18 October 2017 - 20 October 2017, 195-197. (2017)
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8
Retrospective analysis of 11 years of livestock necropsy data : evaluation for animal health surveillance
In: Faverjon, Céline; Küker, Susanne; Furrer, Lenz; Berezowski, John; Posthaus, Horst; Rinaldi, Fabio; Vial, Flavie (2017). Retrospective analysis of 11 years of livestock necropsy data : evaluation for animal health surveillance. In: 3rd International Conference on Animal Health Surveillance, Rotorua, New Zealand, 30 April 2017 - 4 May 2017, 228-230. (2017)
Abstract: Livestock necropsy reports from diagnostic laboratories may be of interest for disease surveillance. However, they are usually created using natural language making the extraction of relevant data complicated. To evaluate necropsy reports for animal health surveillance, we first developed a text mining tool to automatically classify necropsy reports for cattle and pigs into 13 syndromic categories primarily based on topography of organ systems, before retrospectively describing 11 years of necropsy submissions to one of the two largest Swiss veterinary diagnostic laboratories using time series analysis. The main syndromic categories identified were gastrointestinal system, serous membranes and respiratory system. The proportion of submissions represented by different syndromes and their seasonal patterns differed between age classes, in particular for cattle. Thus, we recommend that the different age classes should be monitored separately should these data be integrated in a prospective surveillance system.
Keyword: 000 Computer science; 410 Linguistics; Institute of Computational Linguistics; knowledge & systems
URL: http://www.sciquest.org.nz/node/139885
https://www.zora.uzh.ch/id/eprint/143290/7/Retrospective_analysis_of_11_years_of_livestock_ne.pdf
https://doi.org/10.5167/uzh-143290
https://www.zora.uzh.ch/id/eprint/143290/
https://www.zora.uzh.ch/id/eprint/143290/1/Faverjon_%26al_ICAHS2017.pdf
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9
Ontogene Term and Relation Recognition for CDR
In: Ellendorff, Tilia Renate; Clematide, Simon; van der Lek, Adrian; Furrer, Lenz; Rinaldi, Fabio (2015). Ontogene Term and Relation Recognition for CDR. In: BioCreative V, Sevilla, 9 September 2015 - 11 September 2015, 305-310. (2015)
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10
Unsupervised Text Segmentation for Automated Error Reduction
Furrer, Lenz [Verfasser]; Faaß, Gertrud [Herausgeber]. - Hildesheim : Universitätsbibliothek Hildesheim, 2014
DNB Subject Category Language
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11
Unsupervised Text Segmentation for Automated Error Reduction
Furrer, Lenz. - 2014
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12
Unsupervised Text Segmentation for Automated Error Reduction
In: Furrer, Lenz (2014). Unsupervised Text Segmentation for Automated Error Reduction. In: KONVENS 2014, Hildesheim, 8 October 2014 - 10 October 2014, 178-185. (2014)
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13
Disambiguation of the Semantics of German Prepositions: a Case Study
In: Clematide, Simon; Klenner, Manfred; Furrer, Lenz (2013). Disambiguation of the Semantics of German Prepositions: a Case Study. In: Proceedings of NLPCS 2013: 10th International Workshop on Natural Language Processing and Cognitive Science, Marseille, France — Octobre 2013, Marseille, France, 15 October 2013 - 16 October 2013, 137-150. (2013)
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14
Strategies for reducing and correcting OCR errors
In: Volk, Martin; Furrer, Lenz; Sennrich, Rico (2011). Strategies for reducing and correcting OCR errors. In: Sporleder, Caroline; van den Bosch, Antal; Zervanou, Kalliopi. Language Technology for Cultural Heritage. Berlin: Springer, 3-22. (2011)
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15
Reducing OCR errors in Gothic-script documents
In: Furrer, Lenz; Volk, Martin (2011). Reducing OCR errors in Gothic-script documents. ERCIM News, (86):29-30. (2011)
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16
Challenges in building a multilingual alpine heritage corpus ...
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