GER_SET: Situation Entity Type labelled corpus for German
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'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.References:Maria Becker, Alexis Palmer, and Anette Frank (2016). Argumentative texts and Clause Types. Proceedings of the 3rd Workshop on Argument Mining (ACL-Workshop), pp. 21-30.Annemarie Friedrich, Alexis Palmer, and Manfred Pinkal (2016). Situation entity types: a' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["annotated dataset","argument analysis","corpus","detecting and filling knowledge gaps","exploitation of attention, context and the genre information","German","knowledge discovery","semantic clause type","sentence classification","situation entity","syntactic-semantic features"]} <|eot_id|>
 Here is the Description of a dataset. Description:'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.References:Maria Becker, Alexis Palmer, and Anette Frank (2016). Argumentative texts and Clause Types. Proceedings of the 3rd Workshop on Argument Mining (ACL-Workshop), pp. 21-30.Annemarie Friedrich, Alexis Palmer, and Manfred Pinkal (2016). Situation entity types: a' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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.References:Maria Becker, Alexis Palmer, and Anette Frank (2016). Argumentative texts and Clause Types. Proceedings of the 3rd Workshop on Argument Mining (ACL-Workshop), pp. 21-30.Annemarie Friedrich, Alexis Palmer, and Manfred Pinkal (2016). Situation entity types: a
annotated dataset; argument analysis; corpus; detecting and filling knowledge gaps; exploitation of attention, context and the genre information; German; knowledge discovery; semantic clause type; sentence classification; situation entity; syntactic-semantic features