Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

Udgivelsesår:
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  1. 2019
  2. Udgivet

    Comparing Unsupervised Word Translation Methods Step by Step

    Hartmann, M., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). 11 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. Udgivet

    Cross-Lingual Word Embeddings

    Søgaard, Anders, Vulić, I., Ruder, S. & Faruqui, M., 2019, 2 udg. Morgan & Claypool Publishers. 132 s. (Synthesis Lectures on Human Language Technologies).

    Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt

  4. Udgivet

    Domain Transfer in Dialogue Systems without Turn-Level Supervision

    Bingel, J., Hansen, V. P. B., Gonzalez, Ana Valeria, Budzianowski, P., Augenstein, Isabelle & Søgaard, Anders, 2019. 12 s.

    Publikation: Konferencebidrag › Paper › Forskning

  5. Udgivet

    Few-Shot and Zero-Shot Learning for Historical Text Normalization

    Bollmann, M., Korchagina, N. & Søgaard, Anders, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics, s. 104-114

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  6. Udgivet

    Higher-order Comparisons of Sentence Encoder Representations

    vqc439, V., Kulmizev, A., Hill, F., Low, D. M. L. & Søgaard, Anders, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing. Association for Computational Linguistics, s. 5838–5845

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  7. Udgivet

    Historical Text Normalization with Delayed Rewards

    Flachs, S., Bollmann, M. & Søgaard, Anders, 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, s. 1614-1619

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  8. Udgivet

    Issue Framing in Online Discussion Fora

    Hartmann, M., Jansen, T., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, s. 1401-1407

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  9. Udgivet

    Jointly Learning to Label Sentences and Tokens

    Rei, M. & Søgaard, Anders, 2019, Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019. AAAI Press, s. 6916-6923

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  10. Udgivet

    Latent Multi-Task Architecture Learning

    Ruder, S., Bingel, J., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019. AAAI Press, s. 4822-4829

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  11. Udgivet

    Learning Language-Independent Representations of Verbs and Adjectives from Multimodal Retrieval

    Hansen, V. P. B. & Søgaard, Anders, 2019, Proceedings - 14th International Conference on Signal-Image Technology and Internet Based Systems, SITIS. IEEE, s. 427-434 8 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  12. Udgivet

    Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction

    Kementchedjhieva, Yova Radoslavova, lwp876, L. & Søgaard, Anders, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing. Association for Computational Linguistics, s. 3336–3341

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  13. Udgivet

    Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies

    Kurita, S. & Søgaard, Anders, 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, s. 2420-2430

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  14. Udgivet

    Naive regularizers for low-resource neural machine translation

    Beloucif, M., Gonzalez, Ana Valeria, Bollmann, M. & Søgaard, Anders, 2019, International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings. Angelova, G., Mitkov, R., Nikolova, I., Temnikova, I. & Temnikova, I. (red.). Incoma Ltd, s. 102-111 10 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  15. Udgivet

    Noisy Channel for Low Resource Grammatical Error Correction

    Flachs, S., Lacroix, O. & Søgaard, Anders, 2019, Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications. Association for Computational Linguistics, s. 191-196

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

  16. Udgivet

    Predicting Concrete and Abstract Entities in Modern Poetry

    Caccavale, F. & Søgaard, Anders, 2019, Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019. AAAI Press, s. 858-864

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  17. Udgivet

    Retrieval-based goal-directed dialogue generation

    Gonzalez, Ana Valeria, Augenstein, Isabelle & Søgaard, Anders, 2019. 11 s.

    Publikation: Konferencebidrag › Paper › Forskning

  18. Udgivet

    Rewarding Coreference Resolvers for Being Consistent with World Knowledge

    Aralikatte, R., Lent, H., Gonzalez, Ana Valeria, Hershcovich, Daniel, Qiu, C., Sandholm, A., Ringaard, M. & Søgaard, Anders, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, s. 1229-1235

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  19. Udgivet

    X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension

    Abdou, M., Sas, C., Aralikatte, R., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics, s. 265-274

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  20. 2018
  21. Udgivet

    A Danish FrameNet Lexicon and an Annotated Corpus Used for Training and Evaluating a Semantic Frame Classifier

    Pedersen, Bolette Sandford, Nimb, S., Søgaard, Anders, Hartmann, M. & Olsen, Sussi, 2018, Proceedings of the 11th edition of the Language Resources and Evaluation Conference, Miyazaki, Japan.. European Language Resources Association, 5 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  22. Udgivet

    A strong baseline for question relevancy ranking

    Gonzalez, Ana Valeria, Augenstein, Isabelle & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 4810–4815

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  23. Udgivet

    Character-level Supervision for Low-resource POS Tagging

    Kann, K., Bjerva, J., Augenstein, Isabelle, Plank, B. & Søgaard, Anders, 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, s. 1–11

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  24. Udgivet

    Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction

    Kementchedjhieva, Yova Radoslavova, Ruder, S., Cotterell, R. & Søgaard, Anders, 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Association for Computational Linguistics, s. 211–220

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  25. Udgivet

    Leaming LanguageJndepondent Roprcsentations of Vorbe snd AdjcctivEs from Multimodal Retricvsl

    Hansen, V. P. B. & Søgaard, Anders, 2018, Proceedings of the 14th lnternatlonal Conference on Signal lmage Technology & lnternet Based Systems: SITIS 2018. IEEE, s. 427-434

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  26. Udgivet

    Learning to predict readability using eye-movement data from natives and learners

    Gonzalez, Ana Valeria & Søgaard, Anders, 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, Proceedings. AAAI Press, s. 5118-5124 7 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  27. Udgivet

    Lexii: A tool for adaptive, personalized text simplification

    Bingel, J., Paetzold, G. H. & Søgaard, Anders, 2018, Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, s. 245-258

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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