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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)
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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)
Abstract: In this paper, we describe our experiments in preposition disambiguation based on a – compared to a previous study – revised annotation scheme and new features derived from a matrix factorization approach as used in the field of distributional semantics. We report on the annotation and Maximum Entropy modelling of the word senses of two German prepositions, mit (‘with’) and auf (‘on’). 500 occurrences of each preposition were sampled from a treebank and annotated with syntacto-semantic classes by three annotators. Our coarse-grained classification scheme is geared towards the needs of information extraction, it relies on linguistic tests and it strives to separate semantically regular and transparent meanings from idiosyncratic meanings (i.e. of collocational constructions). We discuss our annotation scheme and the achieved inter-annotator agreement, we present descriptive statistical material e.g. on class distributions, we describe the impact of the various features on syntacto-semantic and semantic classification and focus on the contribution of semantic classes stemming from distributional semantics.
Keyword: 000 Computer science; 410 Linguistics; Distributional Semantics; German; Institute of Computational Linguistics; knowledge & systems; Preposition; WordSenseDisambiguation
URL: https://www.zora.uzh.ch/id/eprint/99580/
https://doi.org/10.5167/uzh-99580
https://www.zora.uzh.ch/id/eprint/99580/1/ClematideKlenner2013a.pdf
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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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