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Statistical sequence and parsing models for descriptive linguistics and psycholinguistics ...
Schneider, G; Grigonyte, Gintare. - : John Benjamins Publishing, 2016
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2
Determining light verb constructions in contemporary British and Irish English
In: International Journal of Corpus Linguistics, vol. 20, no. 3, pp. 326-354 (2015)
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3
Measuring the Public Account- ability of New Modes of Governance
In: Wüest, Bruno; Schneider, G; Amsler, Michael (2014). Measuring the Public Account- ability of New Modes of Governance. In: ACL Workshop on Language Technology and Computational Social Science, Baltimore, Maryland, USA, 24 June 2014 - 26 June 2014. (2014)
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4
De pájaros, astros y ángeles: una reflexión sobre los valores poetológicos del espacio supraterrenal en «Primeras poesías» de Luis Cernuda
In: Schneider, G (2012). De pájaros, astros y ángeles: una reflexión sobre los valores poetológicos del espacio supraterrenal en «Primeras poesías» de Luis Cernuda. Boletín Hispánico Helvético : Historia, Teoría(s), Prácticas Culturales, (20):41-62. (2012)
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5
An incremental model for the coreference resolution task of BioNLP 2011 ...
Tuggener, D; Klenner, M; Schneider, G. - : Association for Computational Linguistics (ACL), 2011
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6
The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text
In: Krallinger, M; Vazquez, M; Leitner, F; Salgado, D; Chatr-aryamontri, A; Winter, A; Perfetto, L; Briganti, L; Licata, L; Iannuccelli, M; Castagnoli, L; Cesareni, G; Tyers, M; Schneider, G; Rinaldi, Fabio; Leaman, R; Gonzalez, G; Matos, S; Kim, S; Wilbur, W J; Rocha, L; Shatkay, H; Tendulkar, A V; Agarwal, S; Liu, F; Wang, X; Rak, R; Noto, K; Elkan, C; Lu, Z (2011). The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text. BMC Bioinformatics, 12(Suppl 8):S3. (2011)
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7
Mining complex Drug/Gene/Disease relations
In: Rinaldi, Fabio; Schneider, G; Clematide, S (2011). Mining complex Drug/Gene/Disease relations. In: Pacific Symposium on Biocomputing Workshop "Mining the Pharmacogenomics Literature", Hawaii, 3 January 2011 - 7 January 2011. (2011)
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8
OntoGene at CALBC II and Some Thoughts on the Need of Document-Wide Harmonization
In: Clematide, S; Rinaldi, Fabio; Schneider, G (2011). OntoGene at CALBC II and Some Thoughts on the Need of Document-Wide Harmonization. In: Second CALBC Workshop, Hinxton, Cambridgeshire, UK, 16 March 2011 - 18 March 2011, 48-51. (2011)
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9
ODIN: an advanced interface for the curation of biomedical literature
In: Rinaldi, Fabio; Clematide, S; Schneider, G; Romacker, M; Vachon, Th (2010). ODIN: an advanced interface for the curation of biomedical literature. In: Biocuration 2010, Tokyo, Japan, 11 October 2010 - 14 October 2010. (2010)
Abstract: We present ODIN (Ontogene Document INspector): a system for interactive curation of biomedical literature, developed within the scope of the SASEBio project (Semi-Automated Semantic Enrichment of the Biomedical Literature), as a collaboration between the OntoGene group at the University of Zurich and the NITAS/TMS group of Novartis Pharma AG. The purpose of the system is to allow a human annotator/curator to leverage upon the results of an advanced text mining system in order to enhance the speed and effectiveness of the annotation process. The OntoGene system takes as input a document (e.g a full paper from PubMed Central) and processes it with a custom NLP pipeline, which includes Named Entity recognition and relation extraction. Entities which are currently supported include proteins, genes, experimental methods, cell lines, species. Entities detected in the input document are disambiguated with respect to a reference database (UniProt, EntrezGene, NCBI taxonomy, PSI-MI ontology). The annotated documents are handed back to the ODIN interface, which allows multiple display modalities. The curator/annotator can view the whole document with in-line annotations highlighted, or can browse the extracted entities and be pointed back to the mentions of the entities within the original document. All entity mentions are entirely editable: the curator can easily add or delete any of them, and also change their extent (i.e. add/remove words to its right or left) with a simple click of the mouse. Different entity views are supported, with sorting capabilities according to different criteria (entity type, entity mention, confidence score, etc.). Selective highlighting of text units (e.g. sentences containing desired entities) is supported. Additionally, extensive logging functionalities are provided. All documents and entities are fully interlinked to reference databases, for the purpose of simplified inspection. Entities can be grouped in classes (e.g. by species) and actions can be applied to whole classes, for selective editing or removal.
Keyword: 000 Computer science; 410 Linguistics; Institute of Computational Linguistics; knowledge & systems
URL: https://doi.org/10.1038/npre.2010.5169.1
https://www.zora.uzh.ch/id/eprint/46738/4/Rinaldi_Clematide_Schneider_2010V.pdf
https://www.zora.uzh.ch/id/eprint/46738/
https://doi.org/10.5167/uzh-46738
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10
A framework for constituent-dependency conversion
In: Marek, T; Schneider, G; Volk, Martin (2009). A framework for constituent-dependency conversion. In: 8th Conference on Treebanks and Linguistic Theories, Milano, 2009 - 2009. (2009)
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11
Using existing biomedical resources to detect and ground terms in biomedical literature
In: Kaljurand, K; Rinaldi, Fabio; Kappeler, T; Schneider, G (2009). Using existing biomedical resources to detect and ground terms in biomedical literature. In: Combi, C; Shahar, Y; Abu-Hanna, A. Artificial Intelligence in Medicine: 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009. Proceedings. Berlin: Springer, 225-234. (2009)
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12
Effective Mining of Protein Interactions
In: Rinaldi, Fabio; Schneider, G; Kaljurand, K; Clematide, S (2009). Effective Mining of Protein Interactions. In: Third international symposium on languages in biology and medecine (LBM 2009), Jeju Island, South Korea, 8 November 2009 - 10 November 2009, 115-118. (2009)
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13
Detecting and grounding terms in biomedical literature
In: Kaljurand, K; Rinaldi, Fabio; Kappeler, T; Schneider, G (2009). Detecting and grounding terms in biomedical literature. Advances in Computational Linguistics, 41:15-26. (2009)
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14
OntoGene in BioCreative II
In: Rinaldi, Fabio; Kappeler, T; Kaljurand, K; Schneider, G; Klenner, M; Clematide, S; Hess, M; von Allmen, J M; Parisot, P; Romacker, M; Vachon, T (2008). OntoGene in BioCreative II. Genome Biology, 9(Suppl 2):S13. (2008)
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15
Tools for detection of protein interactions in biomedical literature
In: Rinaldi, Fabio; Schneider, G; Kaljurand, K (2008). Tools for detection of protein interactions in biomedical literature. In: Genomes to Systems Conference 2008, Manchester, UK, 17 March 2008 - 19 March 2008. (2008)
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Mining of functional relations between genes and proteins over biomedical scientific literature using a deep-linguistic approach ...
Rinaldi, Fabio; Schneider, G; Kaljurand, K. - : Elsevier, 2007
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17
Extended discourse representation structures in attempto controlled English
In: Fuchs, N E; Hoefler, S; Kaljurand, K; Kuhn, T; Schneider, G; Schwertel, U (2006). Extended discourse representation structures in attempto controlled English. ifi Technical Reports ifi2006.07, University of Zurich. (2006)
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An environment for relation mining over richly annotated corpora: the case of GENIA
In: Rinaldi, Fabio; Schneider, G; Kaljurand, K; Hess, M; Romacker, M (2006). An environment for relation mining over richly annotated corpora: the case of GENIA. BMC Bioinformatics, 7(Suppl 3):S3. (2006)
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19
Discourse representation structures for ACE 5
In: Fuchs, N E; Hoefler, S; Kaljurand, K; Kuhn, T; Schneider, G; Schwertel, U (2006). Discourse representation structures for ACE 5. ifi Technical Reports ifi2006.10, University of Zurich. (2006)
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20
Extended discourse representation structures in attempto controlled English
In: Fuchs, N E; Hoefler, S; Kaljurand, K; Schneider, G; Schwertel, U (2005). Extended discourse representation structures in attempto controlled English. ifi Technical Reports ifi-2005.8, University of Zurich. (2005)
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