=Paper=
{{Paper
|id=Vol-2253/gurevych
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-2253/gurevych.pdf
|volume=Vol-2253
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==None==
<pdf width="1500px">https://ceur-ws.org/Vol-2253/gurevych.pdf</pdf>
<pre>
                Disentangling the Thoughts: Latest News in
                      Computational Argumentation

                                 Iryna Gurevych
                     Technische Universität Darmstadt, Germany
                 gurevych@ukp.informatik.tu-darmstadt.de



                                            Abstract

In this talk, I will present a bunch of papers on argument mining (co-)authored by the UKP
Lab in Darmstadt. The papers have appeared in NAACL, TACL and related venues in 2018. In
the first part, I will talk about large-scale argument search, classification and reasoning. In the
second part, the focus will be on mitigating high annotation costs for argument annotation.
Specifically, we tackle small-data scenarios for novel argument tasks, less-resourced languages
or web-scale argument analysis tasks such as detecting fallacies. The talk presents the results
of ongoing projects in Computational Argumentation at the Technische Universität Darmstadt
[1]: Argumentation Analysis for the Web (ArguAna) [2], Decision Support by Means of Au-
tomatically Extracting Natural Language Arguments from Big Data (ArgumenText) [3].

[1] https://www.ukp.tu-darmstadt.de/research/research-areas/argumentation-mining/
[2] https://www.ukp.tu-darmstadt.de/research/current-projects/arguana/
[3] https://www.argumentext.de/



                                           Short Bio

Iryna Gurevych is professor of computer science at TU Darmstadt, where she leads the UKP
Lab and the DFG-funded Research Training Group “Adaptive Preparation of Information from
Heterogeneous Sources” (AIPHES). She has a broad range of research interests in natural lan-
guage processing, with a focus on computational argumentation, computational lexical seman-
tics, semantic information management, and discourse and dialogue processing. She has co-
founded and co-organized the workshop series “Collaboratively Constructed Semantic Re-
sources and their Applications to NLP”, “Argument Mining” and several research events on
innovative applications of NLP to education, social sciences and humanities. More information
can be found: https://www.ukp.tu-darmstadt.de/ .

</pre>