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Jan 20, 2020 - Archäologische Berichte
Hartmann, Dietrich Klaus, 2020, "Ergänzende Materialien zu: Archäologisch-baugeschichtliche Studie zu den Dorfkirchen im ehemaligen Bistum Konstanz",, heiDATA, V1
Tabelle der Fundorte und Befunde
Jan 9, 2020 - Cluster of Excellence - Asia and Europe in a Global Context
Armin Volkmann; Matthias Arnold, 2020, "retrodig: Retrodigitalisierung der Grabungsdokumentation des Kastell Heidelberg-Neuenheim",, heiDATA, V1
Zielsetzung des Projekts »retrodig« war es, die Dokumentation der umfangreichen Grabungskampagnen der Jahre 1952 und 1975 zum römischen Kastell »Neuenheim« in Heidelberg von Dr. Berndmark Heukemes in Form der erhaltenen Tagebücher, Fotografien und Zeichnungen aus dem Archiv des K...
Dec 10, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "GER_SET: Situation Entity Type labelled corpus for German",, heiDATA, V1
Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and...
Nov 22, 2019 - heiEDITIONS
Chinca, Mark; Hunter, Helen; Wolf, Jürgen; Young, Christopher, 2018, "Kaiserchronik - digital",, heiDATA, V3
The digital edition presents the entire manuscript transmission of the Kaiserchronik, both known and extant, in dual format: digital facsimiles of the manuscripts (where these are still extant) on the one hand, transcriptions of the manuscript text on the other. Manuscripts now l...
Nov 22, 2019 - Germania
Brozio, Jan Piet, 2019, "Zur absoluten Chronologie der Einzelgrabkultur in Norddeutschland und Nordjütland [Supplement]",, heiDATA, V2, UNF:6:PZt1V6obgH7b1f61ZaYOBA== [fileUNF]
Mit der Absicht ein typochronologisches Modell der geschweiften Becher der norddeutschen Einzelgrabkultur und damit eine detaillierte chronologische Differenzierung für die Diskussion historischer Prozesse zu entwickeln, erfolgt zunächst eine absolutchronologische Einordnung der...
Oct 22, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "Genre-sensitive Neural Situation Entity classifier (DE, EN)",, heiDATA, V1
This is a Classifier for situation entity types as described in Becker et al., 2017. These clause types depend on a combination of syntactic-semantic and contextual features. We explore this task in a deeplearning framework, where tuned word representations capture lexical, synta...
Oct 22, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "COREC – A neural multi-label COmmonsense RElation Classification system",, heiDATA, V1
We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the evaluation of classification accuracy for individual relations. Based on an in-depth study of the spec...
Oct 8, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Ruppenhofer, Josef, 2019, "Affixoid Dataset (DE)",, heiDATA, V1, UNF:6:+MGK9lTPTXx7Rclu1BpPnw== [fileUNF]
The dataset contains the manual annotations for the COLING 2018 submission "Distinguishing affixoid formations from compounds" by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert. 1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -go...
Oct 7, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Marasović, Ana; Zhou, Mengfei; Frank, Anette, 2019, "The MSC Data Set",, heiDATA, V1
From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see "Related Publication" below): Heuristically sense-annotated training data acquired from EUROPARL and...
Oct 7, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Marasović, Ana, 2019, "Multilingual Modal Sense Classification using a Convolutional Neural Network [Source Code]",, heiDATA, V1
Abstract Modal sense classification (MSC) is aspecial WSD task that depends on themeaning of the proposition in the modal’s scope. We explore a CNN architecture for classifying modal sense in English and German. We show that CNNs are superior to manually designed feature-based cl...
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