GER_SET: Situation Entity Type labelled corpus for German (doi:10.11588/data/BBQYD0)

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Document Description

Citation

Title:

GER_SET: Situation Entity Type labelled corpus for German

Identification Number:

doi:10.11588/data/BBQYD0

Distributor:

heiDATA

Date of Distribution:

2019-12-10

Version:

1

Bibliographic Citation:

Becker, Maria, 2019, "GER_SET: Situation Entity Type labelled corpus for German", https://doi.org/10.11588/data/BBQYD0, heiDATA, V1

Study Description

Citation

Title:

GER_SET: Situation Entity Type labelled corpus for German

Identification Number:

doi:10.11588/data/BBQYD0

Authoring Entity:

Becker, Maria (Department of Computational Linguistics, Heidelberg University, Germany)

Date of Production:

2017

Distributor:

heiDATA

Access Authority:

Becker, Maria

Date of Deposit:

2019-07-31

Holdings Information:

https://doi.org/10.11588/data/BBQYD0

Study Scope

Keywords:

Arts and Humanities, Computer and Information Science, corpus, annotated dataset, German, situation entity, semantic clause type, sentence classification, syntactic-semantic features, exploitation of attention, context and the genre information, argument analysis, knowledge discovery, detecting and filling knowledge gaps

Topic Classification:

Situation Entity type annotation

Abstract:

<p>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 detection of generic and generalizing sentences (Friedrich et al., 2016). We annotate several texts from different genres (newspaper, commentary, argumentative texts, and Wikipedia articles) with Situation Entity types. This data is in German.</p> <p><strong>References:</strong></p> <p>Maria Becker, Alexis Palmer, and Anette Frank (2016). Argumentative texts and Clause Types. <em>Proceedings of the 3rd Workshop on Argument Mining (ACL-Workshop)</em>, pp. 21-30.</p> <p>Annemarie Friedrich, Alexis Palmer, and Manfred Pinkal (2016). Situation entity types: automatic classification of clause-level aspect. In Proceedings of ACL 2016.</p> <p>Alexis Palmer and Annemarie Friedrich (2014). Genre distinctions and discourse modes: Text types differ in their situation type distributions. <em>Proceedings of the Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing</em>. Forl&igrave;-Cesena, Italy.</p> <p>Carlota S. Smith (2003). <em>Modes of discourse: The local structure of texts</em>, volume 103. Cambridge University Press.</p>

Kind of Data:

textual data in tab-separated format

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

<p><span class="tp_pub_author_simple">Maria Becker, Michael Staniek, Vivi Nastase, Alexis Palmer, Anette Frank (2017).</span> <span class="tp_pub_title_simple"><a class="tp_title_link" style="cursor: pointer;">Classifying semantic clause types: Modeling context and genre characteristics with recurrent neural networks and attention</a></span>. <span class="tp_pub_additional_simple">In <span class="tp_pub_additional_booktitle"><em>Proceedings of *SEM (Joint Conference on Lexical and Computational Semantics)</em>, pp</span><span class="tp_pub_additional_pages">. 230&ndash;240, </span><span class="tp_pub_additional_address">August 3-4, 2017, Vancouver, Canada, </span><span class="tp_pub_additional_year">2017</span>.</span></p>

Identification Number:

10.18653/v1/S17-1027

Bibliographic Citation:

<p><span class="tp_pub_author_simple">Maria Becker, Michael Staniek, Vivi Nastase, Alexis Palmer, Anette Frank (2017).</span> <span class="tp_pub_title_simple"><a class="tp_title_link" style="cursor: pointer;">Classifying semantic clause types: Modeling context and genre characteristics with recurrent neural networks and attention</a></span>. <span class="tp_pub_additional_simple">In <span class="tp_pub_additional_booktitle"><em>Proceedings of *SEM (Joint Conference on Lexical and Computational Semantics)</em>, pp</span><span class="tp_pub_additional_pages">. 230&ndash;240, </span><span class="tp_pub_additional_address">August 3-4, 2017, Vancouver, Canada, </span><span class="tp_pub_additional_year">2017</span>.</span></p>

Other Study-Related Materials

Label:

SitEnt_DE.zip

Notes:

application/zip