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Topic: AIPHES

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  • 10 publications (0 read)
  • 18 authors [view]
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Publications for topic "AIPHES" sorted by first author

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Aïssatou Diallo, Markus Zopf and Johannes Fürnkranz, Learning Analogy-Preserving Sentence Embeddings for Answer Selection, in: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 910--919, Association for Computational Linguistics, 2019
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Margot Mieskes, Eneldo Loza Mencía and Tim Kronsbein, A Data Set for the Analysis of Text Quality Dimensions in Summarization Evaluation, in: Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020), pages 6690–-6699, European Language Resources Association, 2020
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Markus Zopf, Estimating Summary Quality with Pairwise Preferences, in: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018), New Orleans, USA, pages 1687-1696, Association for Computational Linguistics, 2018
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Markus Zopf, auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization Corpus, in: Proceedings of the 11th Edition of the Language Resources and Evaluation Conference (LREC 2018), Miyazaki, Japan, pages 3228-3233, 2018
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Markus Zopf, SeqCluSum: Combining Sequential Clustering and Contextual Importance Measuring to Summarize Developing Events over Time, in: The Twenty-Fourth Text Retrieval Conference Proceedings, Gaithersburg, Maryland, USA, National Institute of Standards and Technology, 2015
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Markus Zopf, Teresa Botschen, Tobias Falke, Benjamin Heinzerling, Ana Marasovic, Todor Mihaylov, Avinesh P.V.S., Eneldo Loza Mencía, Johannes Fürnkranz and Anette Frank, What’s important in a text? An extensive evaluation of linguistic annotations for summarization, in: Proceedings of the 5th International Conference on Social Networks Analysis, Management and Security (SNAMS-18), Valencia, Spain, pages 272--277, 2018
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Markus Zopf, Eneldo Loza Mencía and Johannes Fürnkranz, Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization, in: Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, Berlin, Germany, pages 84-94, Association for Computational Linguistics, 2016
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Markus Zopf, Eneldo Loza Mencía and Johannes Fürnkranz, Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization, in: Proceedings of the 26th International Conference on Computational Linguistics, Osaka, Japan, pages 1071-1082, The COLING 2016 Organizing Committee, 2016
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Markus Zopf, Eneldo Loza Mencía and Johannes Fürnkranz, Which Scores to Predict in Sentence Regression for Text Summarization?, in: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018), pages 1782--1791, 2018
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Markus Zopf, Maxime Peyrard and Judith Eckle{-}Kohler, The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach, in: Proceedings of the 26th International Conference on Computational Linguistics, Osaka, Japan, pages 1535-1545, The COLING 2016 Organizing Committee, 2016
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