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[1]
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Becker, M., Korfhage, K., and Frank, A. (2021) COCO-EX: A Tool for Linking
Concepts from Texts to ConceptNet. Proceedings of the Software
Demonstrations of the 16th Conference of the European Chapter of the
Association for Computational Linguistics (EACL 2021), pp. 119--126,
Association of Computational Linguistics.
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[2]
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Becker, M., Liang, S., and Frank, A. (2021) Reconstructing Implicit Knowledge
with Language Models. Proceedings of Deep Learning Inside Out (DeeLIO):
The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning
Architectures at NAACL 2021, pp. 11--24, *Best Paper Award*.
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[3]
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Becker, M., Korfhage, K., Paul, D., and Frank, A. (2021) CO-NNECT: A Framework
for Revealing Commonsense Knowledge Paths as Explicitations of Implicit
Knowledge in Texts. Proceedings of the 14th International Workshop on
Computational Semantics (IWCS), Groningen, The Netherlands (Online), pp.
21--32, Association for Computational Linguistics.
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.pdf ]
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[4]
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Becker, M., Korfhage, K., and Frank, A. (2020) Implicit Knowledge in
Argumentative Texts: An Annotated Corpus. Proceedings of the 12th
Conference on Language Resources and Evaluation (LREC), Marseille, France,
pp. 2316--2324.
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.pdf ]
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[5]
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Becker, M., Hulpus, I., Paul, D., Opitz, J., Kobbe, J., Stuckenschmidt, H., and
Frank, A. (2020) Explaining Arguments with Background Knowledge -- Towards
Knowledge-based Argumentation Analysis . Datenbank Spektrum (Special
Issue: Argumentation Intelligence), 20, 131--141.
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[6]
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Paul, D., Opitz, J., Becker, M., Kobbe, J., Hirst, G., and Frank, A. (2020)
Argumentative Relation Classification with Background Knowledge.
Proceedings of the 8th International Conference on Computational Models of
Argument (COMMA 2020), vol. 326 of Frontiers in Artificial
Intelligence and Applications, pp. 319--330, Computational Models of
Argument, *Best Student Paper Award Nomination* (3 runner-ups).
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[7]
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Becker, M., Staniek, M., Nastase, V., and Frank, A. (2019) Assessing the
Difficulty of Classifying ConceptNet Relations in a Multi-Label
Classification Setting. RELATIONS - Workshop on meaning relations
between phrases and sentences (co-located with IWCS).
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[8]
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Hulpus, I., Kobbe, J., Becker, M., Opitz, J., Hirst, G., Meilicke, C., Nastase,
V., Stuckenschmidt, H., and Frank, A. (2019) Towards Explaining Natural
Language Arguments with Background Knowledge. 1st Workshop on Semantic
Explainability – co-located with the 18th International Semantic Web
Conference (ISWC 2019).
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[9]
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Kobbe, J., Opitz, J., Becker, M., Hulpus, I., Stuckenschmidt, H., and Frank, A.
(2019) Exploiting Background Knowledge for Argumentative Relation
Classification. Eskevich, M., de Melo, G., Fäth, C., McCrae, J.,
Buitelaar, P., Chiarcos, C., Klimek, B., and Dojchinovski, M. (eds.),
2nd Conference on Language, Data and Knowledge (LDK 2019), vol. 70 of
OASIcs, pp. 1--14.
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[10]
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Becker, M., Staniek, M., Nastase, V., Palmer, A., and Frank, A. (2018) The
Impact of Attention Mechanism, Context and Genre Information when Classifying
Semantic Clause Types with Recurrent Neural Networks. 40th Annual
Conference of the German Linguistic Society (DGfS). Stuttgart..
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[11]
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Becker, M., Staniek, M., Nastase, V., Palmer, A., and Frank, A. (2018)
Automatisches Klassifizieren Semantischer Clauses: Modellierung von Kontext
und Genremerkmalen mit Rekurrenten Neuronalen Netzwerken und dem
Attention-Mechanismus. 54. Jahrestagung des Instituts für Deutsche
Sprache. Mannheim (poster).
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[12]
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Becker, M., Staniek, M., Nastase, V., and Frank, A. (2017) Enriching
Argumentative Texts with Implicit Knowledge. Frasinca, F., Ittoo, A.,
Nguyen, L., and Metais, E. (eds.), Applications of Natural Language to
Data Bases (NLDB) - Natural Language Processing and Information Systems,
Lecture Notes in Computer Science, Springer.
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[13]
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Becker, M., Palmer, A., and Frank, A. (2017) Semantic Clause Types and
Modality as Features for Argument Analysis. Argument &
Computation, Special Issue on Language and Argumentation.
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[14]
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Becker, M., Staniek, M., Nastase, V., Palmer, A., and Frank, A. (2017)
Classifying Semantic Clause Types: Modeling Context and Genre
Characteristics with Recurrent Neural Networks and Attention.
Proceedings of *SEM (Joint Conference on Lexical and Computational
Semantics).
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[15]
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Becker, M. (2016) Argumentative Reasoning, Clause Types and Implicit
Knowledge. Gaggl, S. and Thimm, M. (eds.), Proceedings of the Second
Summer School on Argumentation: Computational and Linguistic Perspectives,
pp. 1--2, [Best poster award].
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.pdf ]
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[16]
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Becker, M., Palmer, A., and Frank, A. (2016) Argumentative texts and clause
types. Proceedings of the 3rd Workshop on Argument Mining
(ArgMining2016), Berlin, Germany, pp. 21--30.
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[17]
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Becker, M., Palmer, A., and Frank, A. (2016) Clause Types and Modality in
Argumentative Microtexts. Workshop on Foundations of the Language of
Argumentation (in conjunction with COMMA 2016), Potsdam, Germany, pp.
1--9.
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