Research output per year
Research output per year
Search results
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2018
A strong baseline for question relevancy ranking
Gonzalez, A. V., Augenstein, I. & Søgaard, A., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 4810–4815Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Character-level Supervision for Low-resource POS Tagging
Kann, K., Bjerva, J., Augenstein, I., Plank, B. & Søgaard, A., 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, p. 1–11Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding
Kementchedjhieva, Y. R., Bjerva, J. & Augenstein, I., 2018, Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection . Association for Computational Linguistics, p. 93–98Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
2 Citations (Scopus) -
Discourse-aware rumour stance classification in social media using sequential classifiers
Zubiaga, A., Kochkina, E., Liakata, M., Procter, R., Lukasik, M., Bontcheva, K., Cohn, T. & Augenstein, I., Mar 2018, In: Information Processing & Management. 54, 2, p. 273-290Research output: Contribution to journal › Journal article › Research › peer-review
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From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings
Bjerva, J. & Augenstein, I., 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Association for Computational Linguistics, Vol. 1. p. 907-916 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
7 Citations (Scopus)33 Downloads (Pure) -
Jack the Reader – A Machine Reading Framework
Weissenborn, D., Minervini, P., Dettmers, T., Augenstein, I., Welbl, J., Rocktäschel, T., Bošnjak, M., Mitchell, J., Demeester, T., Stenetorp, P. & Riedel, S., 2018, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations. Association for Computational Linguistics, p. 25–30Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Augenstein, I., Ruder, S. & Søgaard, A., 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Association for Computational Linguistics, Vol. 1. p. 1896–1906 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Nightmare at test time: How punctuation prevents parsers from generalizing
Søgaard, A., Lhoneux, M. D. & Augenstein, I., 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP . Association for Computational Linguistics, p. 25–29Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Parameter sharing between dependency parsers for related languages
Lhoneux, M. D., Bjerva, J., Augenstein, I. & Søgaard, A., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Proceedings of The Third Workshop on Representation Learning for NLP
Augenstein, I. (ed.), Cao, K. (ed.), He, H. (ed.), Hill, F. (ed.), Gella, S. (ed.), Kiros, J. (ed.), Mei, H. (ed.) & Misra, D., 2018, Proceedings of the Third Workshop: Representation Learning for NLP. Association for Computational Linguistics, 224 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Tracking Typological Traits of Uralic Languages in Distributed Language Representations
Bjerva, J. & Augenstein, I., 2018, Proceedings, Fourth International Workshop on Computational Linguistics for Uralic Languages. Association for Computational Linguistics, p. 78-88Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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2017
Learning what to share between loosely related tasks
Ruder, S., Bingel, J., Augenstein, I. & Søgaard, A., 23 May 2017, In: arXiv.Research output: Contribution to journal › Journal article › Research
17 Downloads (Pure) -
Multi-Task Learning of Keyphrase Boundary Classification
Augenstein, I. & Søgaard, A., 2017, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics : (Short Papers). Barzilay, R. & Kan, M-Y. (eds.). Association for Computational Linguistics, Vol. 2. p. 341-346 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review