Publikationen

2019

Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections. 
El-Assday, M., Kehlbeck, R., Collins, CH., Keim, D.A., Deussen, O. (2019). IEEE Transactions on Visualization and Computer Graphics, 2019.

Aspectual Reasoning in LFG – A Computational Approach to Grammatical and Lexical Aspect. 
Zymla, M. and Butt, M. (2019). In Proc. of the LFG’19 Conf. 2019.

On the Syntax/Semantics Interface in Computational Glue Semantics: A Case Study 
Zymla, M., Sigwarth, G., Butt, M. (2019). In Proc. of the LFG’19 Conf. 2019.

VIANA: Visual Interactive Annotation of Argumentation
Sperrle, F., Sevastjanova, R., Kehlbeck, R., El-Assady, M. (2019) IEEE Conf. on Visual Analytics Science and Technology (VAST) 2019.

Human Trust Modeling for Bias Mitigation in Artificial Intelligence
Sperrle, F., Schlegel, U., Keim, D.A., El-Assady. M. (2019) ACM CHI 2019 Workshop: Where is the Human? Bridging the Gap Between AI and HCI, 2019.

Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution
El-Assady, M., Sperrle, F., Deussen, O., Keim, D., Collins, Ch. (2019) IEEE Transactions on Visualization and Computer Graphics, 2019.

Abstract Graphs and Abstract Paths for Knowledge Graph Completion.
Nastase, V. and Kotnis, B. (2019). In Proc. of the 8th Joint Conf. on Lexical and Computational Semantics (* SEM 2019), Minneapolis, Minnesota.

Dissecting Content and Context in Argumentative Relation Analysis.
Opitz, J. and Frank, A. (2019). In Proc. of the 6th Workshop on Argument Mining, Florence, Italy.

Automatic Accuracy Prediction for AMR Parsing. 
Opitz, J. and Frank, A. (2019). In Proc. of 8th Joint Conf. on Lexical and Computational Semantics (*SEM), Minneapolis, Minnesota.

Argumentative Relation Classification as Plausibility Ranking. 
Opitz, J. (2019). In Proc. of the 15th Conf. on Natural Language Processing (KONVENS), to appear.

A Spreading Activation Framework for Tracking Conceptual Complexity of Texts.
Hulpus, I., Stajner, S. and Stuckenschmidt, H. (2019). In Proc. of the 57th Conf. of the Association for Computational Linguistics (ACL 2019), pp. 3878-3887.

Anytime bottom-up rule learning for knowledge graph completion.
Meilicke, C., Chekol, M.W., Ruffinelli, D. and Stuckenschmidt, H. (2019). In Proc. of the 28h Intl. Joint Conf. on Artificial Intelligence (IJCAI-19), IJCAI/AAAI Press: Menlo Park, CA.

Towards Explaining Natural Language Arguments with Background Knowledge.
Hulpus, I., Kobbe, J., Meilicke, C., Stuckenschmidt, H., Hirst, G., Becker, M., Opitz, J., Nastase, V. and Frank, A. In the Workshop on Semantic Explainability (SemEx 2019) in the 18th Intl. Semantic Web Conf. (ISWC 2019), Christchurch, New Zealand, to appear.

Clustering of Argument Graphs Using Semantic Similarity Measures.
Block, K., Trumm, S., Sahitaj, P., Ollinger, S. and Bergmann, R. In KI 2019: Advances in Artificial Intelligence: 42nd German Conf. on AI, Kassel, Germany, September 23–26, 2019, Proceedings, 2019.Springer.

Semantic Textual Similarity Measures for Case-Based Retrieval of Argument Graphs.
Lenz, M.; Ollinger, S.; Sahitaj, P.; and Bergmann, R. (2019). In Proceedings of the 27th Intl. Conf. on Case-Based Reasoning Research and Development (ICCBR 2019), pp. 219–234, Otzenhausen, Germany.

CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors.
Baris, I.,Schmelzeisen, L. and Staab, S. (2019). In the 3th Intl. Workshop on Semantic Evaluation, Minneapolis, USA.

Categorizing Comparative Sentences
Panchenko , A., Bondarenko ,A., Franzek, M., Hagen, M. and Biemann, Ch. (2019). In Proc. of the the 6th Workshop on Argument Mining (ArgMining'2019) in the ACL 2019, Florence, Italy.

Annotating and analyzing the interactions between meaning relations
Gold, D., Kovatchev, V., and Zesch, T. (2019). In Proceedings of the 13th Linguistic Annotation Workshop in the ACL 2019 (pp. 26--6), Florence, Italy.

An Environment for Relational Annotation of Political Debates.
Blessing, A., Blokker, N., Haunss, S., Kuhn, J., Lapesa, G. and Padó, S. (2019).  In Proc. of the 57th Annual Meeting of the ACL: System Demonstrations (pp. 105-110),  Florence, Italy.

Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates.
Padó, S., Blessing, A., Blokker, N., Dayanik, E., Haunss, S. and Kuhn, J. (2019). In Proc. of the 57th Annual Meeting of the ACL (pp. 2841-2847), Florence, Italy.

Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting.
Becker, M., Staniek, M., Nastase, V., Frank, A. (2019). In RELATIONS - Workshop on meaning relations between phrases and sentences (co-located with IWCS), Gothenburg, Sweden.

Using Topic Specific Features for Argument Stance Recognition.
Eljasik-Swoboda, T., Engel, F. and Hemmje, M. (2019). In Proc. of the 8th Intl. Conf. on Data Science, Technology and Applications (DATA), pp. 13-22, Prague, Czech Republic.

TARGER: NeuralArgument Mining at Your Fingertips
Chernodub, A., Oliynyk, O., Heidenreich, P., Bondarenko, A., Hagen, M., Biemann, C.and Panchenko, A. (2019). In Proc. of the 57th Annual Meeting of the ACL: System Demonstrations (pp. 195-200), Florence, Italy.

Answering Comparative Questions: Better than Ten-Blue-Links?
Schildwächter, M.,Bondarenko, A., Zenker, J., Hagen, M., Biemann, C. and Panchenko, A. (2019). In Proc. of the 2019 Conf. on Human Information Interaction and Retrieval CHIIR '19, (pp. 361-365). Glasgow, Scotland, UK.

Exploiting Background Knowledge for Argumentative Relation Classification
Kobbe, J., Opitz, J., Becker, M.,Hulpus, I., Stuckenschmidt, H. and Frank, A. (2019). In the 2nd Biennial Conf. on Language, Data and Knowledge LDK 2019, Dagstuhl, Germany.

Similarity Measures for Case-Based Retrieval of Natural Language Argument Graphs in Argumentation Machines
Bergmann, R., Lenz, M., Ollinger, S., Pfister, M. (2019). In Proc. of the 32nd Intl. Conf. of The Florida Artificial Intelligence Research Society (FLAIRS 2019), Sarasota, Florida, USA.

C-TrO: an Ontology for Summarization and Aggregation of the Level of Evidence in Clinical Trials.
Sanchez-Graillet, O., Cimiano, P., Witte, C and Ell, B. In the Proc. of the Workshop Ontologies and Data in Life Sciences (ODLS 2019) in the Joint Ontology Workshops' (JOWO 2019), Graz, Austria.

Argumentation Schemes for Clinical Interventions. Towards an Evidence-aggregation System for Medical Recommendations.
Sanchez-Graillet, O., Cimiano, P., Witte, C and Ell, B. (2019). In The 4th Internt. Conf. HEALTHINFO 2019, November 24-28, 2019,Valencia, Spain.

2018

Augmenting Public Deliberations through Stream Argument Analytics and Visualisations
Plüss, B., Sperrle, F., Gold, V., El-Assady, M., Hautli, A., Budzynska, K., Reed, Ch. (2018) In  The Leipzig Symposium on Visualization in Applications, 2018.

Speculative Execution for Guided Visual Analytics 
Sperrle, F., Bernard, J., Sedlmair, M., Keim, D., El-Assady. M. (2018). In The Workshop on Machine Learning from User Interaction for Visualization and Analytics as part of the IEEE VIS,2018.

Utilizing Argument Mining Techniques for Argumentative Dialogue Systems
Rach, N., Langhammer, S., Minker, W. and Ultes, S. (2018). In Proc. of the 9th Intl. Workshop On Spoken Dialogue Systems (IWSDS), Singapore.

Handling Unknown User Arguments in Argumentative Dialogue Systems
Rach, N., Minker, W. and Ultes, S. (2018). Presented at the 32nd British Human Computer Interaction Conf. (HCI), Belfast Markov.

Games for Persuasive Dialogue 
Rach, N., Minker, W. and Ultes, S. (2018). Accepted for presentation at the 7th Intl. Conf. on Computational Models of Argument (COMMA), Warsaw.

EVA: A Multimodal Argumentative Dialogue System
Rach, N., Weber, K., Pragst, L.,André, E., Minker, W. and Ultes, S. Accepted for presentation at the 20th ACM Intl. Conf. on Multimodal Interaction, Boulder, Colorado, October, 2018.

Probabilistic Abstract Argumentation based on SCC Decomposability
Rienstra, T., Thimm, M., Liao, B., van der Torre, L. (2018). In Proceedings of the 16th Intl. Conf. on Principles of Knowledge Representation and Reasoning (KR'19), October, 2018.

A General Approach to Reasoning with Probabilities (Extended Abstract) 
Cerutti, F., Thimm, M. (2018). In Proceedings of the 16th Intl. Conf. on Principles of Knowledge Representation and Reasoning (KR'18), October, 2018.

Towards Enabling Emerging Named Entity Recognition as a Clinical Information and Argumentation Support
Nawroth, C., Engel, F.C., Eljasik-Swoboda, T. and Hemmje, M. (2018).  In Proc. of the 7th Intl. Conf. on Data Science, Technology and Applications (DATA), pp. 47-55, Porto, Portugal.

Epistemic Attack Semantics
Thimm, M. Polberg, S., Hunter, A. (2018). In Proc. of the Seventh Intl. Conf. on Computational Models of Argumentation (COMMA'18), September, 2018.

Probabilistic Graded Semantics
Thimm, M., Cerutti, F., Rienstra, T. (2018). In Proc. of the Seventh Intl. Conf. on Computational Models of Argumentation (COMMA'18), September, 2018.

Ranking Functions over Labellings
Rienstra, T. and Thimm, M. (2018). In Proc. of the Seventh Intl. Conf. on Computational Models of Argumentation (COMMA'18), September, 2018. 

Stochastic Local Search Algorithms for Abstract Argumentation under Stable Semantics
Thimm, M. (2018). In Proc. of the Seventh Intl. Conf. on Computational Models of Argumentation (COMMA'18), September, 2018.

Argumentation as Exogenous Coordination
van der Torre, L., Rienstra, T., Gabbay, D. (2018). In It's All About Coordination. Springer Intl. Publishing, 2018.

Building a Web-Scale Dependency-Parsed Corpus from Common Crawl
Panchenko, A., Ruppert, E., Faralli, S., Ponzetto, S.P., Biemann, C. (2018). In Proc. of LREC 2018, Myazaki, Japan.

Unsupervised Semantic Frame Induction using Triclustering
Ustalov D., Panchenko A., Kutuzov A., Biemann C., Ponzetto S. P. (2018)
In Proc. of the ACL’2018. Melbourne, Australia

Unsupervised Sense-Aware Hypernymy Extraction
Ustalov D., Panchenko A., Biemann C., Ponzetto S.-P. (2018)
In Proc. of KONVENS’2018. Vienna, Austria. p. 192-201

Corpus of Aspect-based Sentiment in Political Debates 
Gold, D., Bexte, M. Zesch, T. (2018)
In Proc. of KONVENS’2018. Vienna, Austria. p. 89-99

ReCAP - Information Retrieval and Case-Based Reasoning for Robust Deliberation and Synthesis of Arguments in the Political Discourse
Bergmann, R., Schenkel, R., Dumani, L., Ollinger, S. (2018). In Proc. of the Conf. "Lernen, Wissen, Daten, Analysen", LWDA 2018.

Webis at TREC 2018: Common Core Track
Bondarenko, A., Völske, M., Panchenko, A., Biemann, Ch., Stein, B., Hagen, M. In the 27th Intl. Text Retrieval Conf. (TREC 2018), November 2018. National Inst. of Standards and Technology (NIST).

2017

Towards Argumentation-based Classification
Thimm, M. and Kersting, K. (2017). In Logical Foundations of Uncertainty and Machine Learning, Workshop at IJCAI'17. August, 2017.

 

 

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Prof Dr. Philipp Cimiano
Tel: 0521 106-12249
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