Research output per year
Research output per year
Personal profile
Short presentation
Research interests: natural language processing, machine learning.
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Dive into the research topics where Anders Søgaard is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 6 Similar Profiles
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Adversarial Removal of Demographic Attributes Revisited
Barrett, M., Kementchedjhieva, Y., Elazar, Y., Elliott, D. & Søgaard, A., 1 Nov 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). Hong Kong, China: Association for Computational Linguistics (ACL), p. 6329-6334 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A Danish FrameNet Lexicon and an Annotated Corpus Used for Training and Evaluating a Semantic Frame Classifier
Pedersen, B. S., Nimb, S., Søgaard, A., Hartmann, M. & Olsen, S., 2018, Proceedings of the 11th edition of the Language Resources and Evaluation Conference, Miyazaki, Japan.. European Language Resources Association, 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
Ruder, S., Cotterell, R., Kementchedjhieva, Y. R. & Søgaard, A., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 458–468Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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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Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction
Kementchedjhieva, Y. R., Ruder, S., Cotterell, R. & Søgaard, A., 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Association for Computational Linguistics, p. 211–220Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
15 Citations (Scopus) -
Leaming LanguageJndepondent Roprcsentations of Vorbe snd AdjcctivEs from Multimodal Retricvsl
Hansen, V. P. B. & Søgaard, A., 2018, Proceedings of the 14th lnternatlonal Conference on Signal lmage Technology & lnternet Based Systems: SITIS 2018. IEEE, p. 427-434Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Learning Language-Independent Representations of Verbs and Adjectives from Multimodal Retrieval
Hansen, V. P. B. & Sogaard, A., 2 Jul 2018, Proceedings - 14th International Conference on Signal-Image Technology and Internet Based Systems, SITIS. IEEE, p. 427-434 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review