Sporleder, Caroline

[["dc.bibliographiccitation.firstpage","671"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Computational Linguistics"],["dc.bibliographiccitation.lastpage","685"],["dc.bibliographiccitation.volume","40"],["dc.contributor.author","Li, Linlin"],["dc.contributor.author","Titov, Ivan"],["dc.contributor.author","Sporleder, Caroline"],["dc.date.accessioned","2018-11-21T09:54:21Z"],["dc.date.available","2018-11-21T09:54:21Z"],["dc.date.issued","2014"],["dc.description.abstract","Information-theoretic measures are among the most standard techniques for evaluation of clustering methods including word sense induction (WSI) systems. Such measures rely on sample-based estimates of the entropy. However, the standard maximum likelihood estimates of the entropy are heavily biased with the bias dependent on, among other things, the number of clusters and the sample size. This makes the measures unreliable and unfair when the number of clusters produced by different systems vary and the sample size is not exceedingly large. This corresponds exactly to the setting of WSI evaluation where a ground-truth cluster sense number arguably does not exist and the standard evaluation scenarios use a small number of instances of each word to compute the score.We describe more accurate entropy estimators and analyze their performance both in simulations and on evaluation of WSI systems."],["dc.identifier.doi","10.1162/COLI_a_00196"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/56893"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.title","Improved Estimation of Entropy for Evaluation of Word Sense Induction"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","219"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Semantic Web"],["dc.bibliographiccitation.lastpage","239"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Pannach, Franziska"],["dc.contributor.author","Sporleder, Caroline"],["dc.contributor.author","May, Wolfgang"],["dc.contributor.author","Krishnan, Aravind"],["dc.contributor.author","Sewchurran, Anusharani"],["dc.contributor.editor","Bikakis, Antonis"],["dc.contributor.editor","Markhoff, Beatrice"],["dc.contributor.editor","Mosca, Alessandro"],["dc.contributor.editor","Jean, Stephane"],["dc.contributor.editor","Hyvönen, Eero"],["dc.contributor.editor","Bikakis, Antonis"],["dc.contributor.editor","Hyvonen, Eero"],["dc.contributor.editor","Jean, Stéphane"],["dc.contributor.editor","Markhoff, Beatrice"],["dc.contributor.editor","Mosca, Alessandro"],["dc.date.accessioned","2021-04-14T08:29:52Z"],["dc.date.available","2021-04-14T08:29:52Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.3233/SW-200417"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83014"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","2210-4968"],["dc.relation.issn","1570-0844"],["dc.title","Of lions and Yakshis"],["dc.title.alternative","Ontology-based narrative structure modelling for culturally diverse folktales"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","320"],["dc.bibliographiccitation.lastpage","331"],["dc.bibliographiccitation.seriesnr","9819"],["dc.contributor.author","Coll Ardanuy, Mariona"],["dc.contributor.author","Knauth, Jürgen"],["dc.contributor.author","Beliankou, Andrei"],["dc.contributor.author","van den Bos, Maarten"],["dc.contributor.author","Sporleder, Caroline"],["dc.contributor.editor","Fuhr, N."],["dc.contributor.editor","Kovacs, L."],["dc.contributor.editor","Risse, T."],["dc.contributor.editor","Nejdl, W."],["dc.date.accessioned","2019-12-03T12:24:40Z"],["dc.date.available","2019-12-03T12:24:40Z"],["dc.date.issued","2016"],["dc.description.abstract","We present a text mining environment that supports entity-centric mining of terascale historical newspaper collections. Information about entities and their relation to each other is often crucial for historical research. However, most text mining tools provide only very basic support for dealing with entities, typically at most including facilities for entity tagging. Historians, on the other hand, are typically interested in the relations between entities and the contexts in which these are mentioned. In this paper, we focus on person entities. We provide an overview of the tool and describe how person-centric mining can be integrated in a general-purpose text mining environment. We also discuss our approach for automatically extracting person networks from newspaper archives, which includes a novel method for person name disambiguation, which is particularly suited for the newspaper domain and obtains state-of-the-art disambiguation results."],["dc.identifier.doi","10.1007/978-3-319-43997-6_25"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62718"],["dc.language.iso","en"],["dc.publisher","Springer"],["dc.publisher.place","Cham"],["dc.relation.crisseries","Lecture Notes in Computer Science"],["dc.relation.isbn","978-3-319-43996-9"],["dc.relation.isbn","978-3-319-43997-6"],["dc.relation.ispartof","Research and Advanced Technology for Digital Libraries"],["dc.relation.ispartofseries","Lecture Notes in Computer Science;9819"],["dc.relation.issn","0302-9743"],["dc.relation.issn","1611-3349"],["dc.title","Person-Centric Mining of Historical Newspaper Collections"],["dc.type","book_chapter"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","175"],["dc.bibliographiccitation.lastpage","180"],["dc.contributor.author","Ardanuy, Mariona Coll"],["dc.contributor.author","Sporleder, Caroline"],["dc.date.accessioned","2019-12-03T12:21:09Z"],["dc.date.available","2019-12-03T12:21:09Z"],["dc.date.issued","2017"],["dc.description.abstract","Historians are often interested in the locations mentioned in digitized collections. However, place names are highly ambiguous and may change over time, which makes it especially hard to automatically ground mentions of places in historical texts to their real-world referents. Toponym disambiguation is a challenging problem in natural language processing, and has been approached in two different yet related tasks: toponym resolution and entity linking. In this paper, we propose a weakly-supervised method that combines the strengths of both approaches by exploiting both geographic and semantic features. We tested our method against a historical toponym resolution benchmark and improved the state of the art. We also created five datasets and tested the performance of two state-of-the-art out-of-the-box entity linking methods and also improved on their performance when only locations are considered."],["dc.identifier.doi","10.1145/3078081.3078099"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62717"],["dc.language.iso","en"],["dc.relation.conference","DATeCH2017"],["dc.relation.eventend","2017-06-02"],["dc.relation.eventlocation","Göttingen, Germany"],["dc.relation.eventstart","2017-06-01"],["dc.relation.isbn","978-1-4503-5265-9"],["dc.relation.ispartof","Proceedings of the 2nd International Conference on Digital Access to Textual Cultural Heritage Pages 175-180"],["dc.title","Toponym disambiguation in historical documents using semantic and geographic features"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","695"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Language Resources and Evaluation"],["dc.bibliographiccitation.lastpage","721"],["dc.bibliographiccitation.volume","47"],["dc.contributor.author","Ruppenhofer, Josef"],["dc.contributor.author","Lee-Goldman, Russell"],["dc.contributor.author","Sporleder, Caroline"],["dc.contributor.author","Morante, Roser"],["dc.date.accessioned","2019-12-03T12:26:39Z"],["dc.date.available","2019-12-03T12:26:39Z"],["dc.date.issued","2012"],["dc.description.abstract","Semantic role labeling is traditionally viewed as a sentence-level task concerned with identifying semantic arguments that are overtly realized in a fairly local context (i.e., a clause or sentence). However, this local view potentially misses important information that can only be recovered if local argument structures are linked across sentence boundaries. One important link concerns semantic arguments that remain locally unrealized (null instantiations) but can be inferred from the context. In this paper, we report on the SemEval 2010 Task-10 on “Linking Events and Their Participants in Discourse”, that addressed this problem. We discuss the corpus that was created for this task, which contains annotations on multiple levels: predicate argument structure (FrameNet and PropBank), null instantiations, and coreference. We also provide an analysis of the task and its difficulties."],["dc.identifier.doi","10.1007/s10579-012-9201-4"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/62719"],["dc.language.iso","en"],["dc.relation.issn","1574-020X"],["dc.relation.issn","1574-0218"],["dc.title","Beyond sentence-level semantic role labeling: linking argument structures in discourse"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Klöcking, Marthe"],["dc.contributor.author","Sarbas, Bärbel"],["dc.contributor.author","Horstmann, Wolfram"],["dc.contributor.author","Möller-McNett, Stefan"],["dc.contributor.author","Nieschulze, Jens"],["dc.contributor.author","Sporleder, Caroline"],["dc.contributor.author","Willbold, Matthias"],["dc.contributor.author","Wörner, Gerhard"],["dc.contributor.orcid","0000-0002-6592-9270"],["dc.creator.author","Klöcking, Marthe"],["dc.date.accessioned","2022-03-01T16:52:38Z"],["dc.date.available","2022-03-01T16:52:38Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.5281/zenodo.5082181"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/104016"],["dc.language.iso","en"],["dc.notes.preprint","yes"],["dc.relation","Digital Geochemistry Infrastructure for GEOROC 2.0"],["dc.relation.conference","Goldschmidt"],["dc.relation.eventlocation","Virtual"],["dc.relation.eventstart","2021"],["dc.relation.iserratumof","yes"],["dc.relation.orgunit","Abteilung Geochemie und Isotopengeologie"],["dc.title","DIGIS and GEOROC 2.0: A Project towards Open Geochemical Data"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]