Update README.md

README.md

@@ -29,4 +29,25 @@ model("Diese Themen gehören nicht ins [MASK].")
 Models are often highly domain dependent. Therefore, the model may perform less well on different domains and text types not included in the training set.
 
 
-🐦 Twitter: [@chklamm](http://twitter.com/chklamm)
+🐦 Twitter: [@chklamm](http://twitter.com/chklamm)
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+@inproceedings{klamm-etal-2022-frameast,
+    title = "{F}rame{AS}t: A Framework for Second-level Agenda Setting in Parliamentary Debates through the Lense of Comparative Agenda Topics",
+    author = "Klamm, Christopher  and
+      Rehbein, Ines  and
+      Ponzetto, Simone Paolo",
+    editor = "Fi{\v{s}}er, Darja  and
+      Eskevich, Maria  and
+      Lenardi{\v{c}}, Jakob  and
+      de Jong, Franciska",
+    booktitle = "Proceedings of the Workshop ParlaCLARIN III within the 13th Language Resources and Evaluation Conference",
+    month = jun,
+    year = "2022",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2022.parlaclarin-1.13",
+    pages = "92--100",
+    abstract = "This paper presents a framework for studying second-level political agenda setting in parliamentary debates, based on the selection of policy topics used by political actors to discuss a specific issue on the parliamentary agenda. For example, the COVID-19 pandemic as an agenda item can be contextualised as a health issue or as a civil rights issue, as a matter of macroeconomics or can be discussed in the context of social welfare. Our framework allows us to observe differences regarding how different parties discuss the same agenda item by emphasizing different topical aspects of the item. We apply and evaluate our framework on data from the German Bundestag and discuss the merits and limitations of our approach. In addition, we present a new annotated data set of parliamentary debates, following the coding schema of policy topics developed in the Comparative Agendas Project (CAP), and release models for topic classification in parliamentary debates.",
+}
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