Additional Attributes

Type

Lexical-semantic resources: yet powerful resources for automatic personality classification

Xuan-Son Vu, Lucie Flekova, Lili Jiang, Iryna Gurevych
In: Proceedings of the 9th Global WordNet Conference, Vol. Volume 1: Long papers, p. (to appear), January 2018
(to appear)
[Inproceedings]

An Information Nutritional Label for Online Documents

Andreas Hanselowski, Iryna Gurevych
In: SIGIR Forum, December 2017
[Inproceedings]

A Framework for Automated Fact-Checking for Real-Time Validation of Emerging Claims on the Web

Andreas Hanselowski, Iryna Gurevych
In: NIPS 2017 Workshop on Prioritising Online Content, November 2017
[Online-Edition: file:35427]
[Inproceedings]

Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization

Tobias Falke, Christian M. Meyer, Iryna Gurevych
In: Proceedings of the 8th International Joint Conference on Natural Language Processing, p. (to appear), November 2017
[Inproceedings]

User participation in the era of the internet

Christian M. Meyer, Andrea Abel
In: The Rutledge Handbook of Lexicography, p. 735-753, October 2017
Routledge
[Online-Edition: https://www.routledge.com/The-Routledge-Handbook-of-Lexicography/Fuertes-Olivera/p/book/9781138941601]
[InCollection]

End-to-end Representation Learning for Question Answering with Weak Supervision

Daniil Sorokin, Iryna Gurevych
In: Semantic Web Challenges: 4th SemWebEval Challenge at ESWC 2017, Vol. 769, p. 70-83, October 2017
Springer, Cham
[Online-Edition: https://doi.org/10.1007/978-3-319-69146-6_7]
[Inproceedings]

Fallsimulationen und automatisches adaptives Feedback mittels Künstlicher Intelligenz in digitalen Lernumgebungen

Claudia Schulz, Michael Sailer, Jan Kiesewetter, Christian M. Meyer, Iryna Gurevych, Frank Fischer, Martin R. Fischer
In: e-teaching.org Themenspecial „Was macht Lernen mit digitalen Medien erfolgreich?“, p. 1-14, October 2017
[Online-Edition: https://www.e-teaching.org/praxis/erfahrungsberichte/fallsimulationen-und-automatisches-adaptives-feedback-mittels-kuenstlicher-intelligenz-in-digitalen-lernumgebungen]
[Article]

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Nils Reimers, Iryna Gurevych
In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), p. 338-348, September 2017
[Inproceedings]

Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps

Tobias Falke, Iryna Gurevych
In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), p. 2969-2979, September 2017
[Online-Edition: https://www.ukp.tu-darmstadt.de/data/summarization/concept-map-summaries]
[Inproceedings]

GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques

Tobias Falke, Iryna Gurevych
In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations, p. 19-24, September 2017
[Online-Edition: https://github.com/UKPLab/emnlp2017-graphdocexplore]
[Inproceedings]
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