Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- 2019
- Published
A Survey of Cross-lingual Word Embedding Models
Ruder, S., Vulić, I. & Søgaard, Anders, 2019, In: The Journal of Artificial Intelligence Research. 65, p. 569-631Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, p. 4822-4829Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Cross-Lingual Word Embeddings
Søgaard, Anders, Vulić, I., Ruder, S. & Faruqui, M., 2019, 2 ed. Morgan & Claypool Publishers. 132 p. (Synthesis Lectures on Human Language Technologies).Research output: Book/Report › Book › Research › peer-review
- Published
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
Vania, C., Kementchedjhieva, Yova Radoslavova, Søgaard, Anders & Lopez, A., 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, p. 1105-1116Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Better, Faster, Stronger Sequence Tagging Constituent Parsers
Vilares, D., Abdou, M. & 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, p. 3372-3383Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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, p. 5838–5845Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2020
- Published
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations
Abdou, M., Ravishankar, V., Barrett, M., Belinkov, Y., Elliott, Desmond & Søgaard, Anders, 2020, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 7590-7604Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Model-based annotation of coreference
Aralikatte, R. & Søgaard, Anders, 2020, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 74-79Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Do end-to-end speech recognition models care about context?
Borgholt, L., Havtorn, J. D., Agic, Ž., Søgaard, Anders, Maaløe, L. & Igel, Christian, 2020, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. International Speech Communication Association (ISCA), Vol. 2020-October. p. 4352-4356Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses
Flachs, S. H., Lacroix, O., Yannakoudakis, H., Rei, M. & Søgaard, Anders, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 8467–8478Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
- Published
The Reverse Turing Test for Evaluating Interpretability Methods on Unknown Tasks
Gonzalez, Ana Valeria & Søgaard, Anders, 2020. 13 p.Research output: Contribution to conference › Paper › Research
- Published
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias
Gonzalez, Ana Valeria, Barrett, M. J., Hvingelby, R., Søgaard, Anders & Webster, K., 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 2637–2648Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
What Do You Mean ‘Why?’: Resolving Sluices in Conversation
Hansen, V. P. B. & Søgaard, Anders, 2020, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5]. AAAI Press, p. 7887-7894.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
DaNE: A named entity resource for danish
Hvingelby, R., Pauli, A. B., Barrett, M., Rosted, C., Lidegaard, L. M. & Søgaard, Anders, 2020, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 4597-4604Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages
Kann, K., Lacroix, O. & Søgaard, Anders, 2020, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5]. AAAI Press, p. 8066-8073.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Parameter sharing between dependency parsers for related languages
Lhoneux, M. D., Bjerva, J., Augenstein, Isabelle & Søgaard, Anders, 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, p. 4992-4997Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
Ruder, S., Cotterell, R., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2020, 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
- Published
WikiBank: Using wikidata to improve multilingual frame-semantic parsing
Sas, C., Beloucif, M. & Søgaard, Anders, 2020, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 4183-4189Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Neural Speed Reading Audited
Søgaard, Anders, 2020, Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, p. 148–153Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Some Languages Seem Easier to Parse Because Their Treebanks Leak
Søgaard, Anders, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 2765–2770Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Parsing as pretraining
Vilares, D., Strzyz, M., Søgaard, Anders & Gómez-Rodrıguez, C., 2020, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020). AAAI Press, p. 9114-9121.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Are All Good Word Vector Spaces Isomorphic?
Vulic, I., Ruder, S. & Søgaard, Anders, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 3178–3192Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2021
- Published
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color
Abdou, M., Kulmizev, A., Hershcovich, Daniel, Frank, S., Pavlick, E. & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 109–132Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Replicating and Extending "Because Their Treebanks Leak": Graph Isomorphism, Covariants, and Parser Performance
Anderson, M., Søgaard, Anders & Gómez-Rodriguez, C., 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Association for Computational Linguistics, p. 1090-1098Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 13266
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470
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Multilingual projection for parsing truly low resource languages
Research output: Contribution to journal › Conference article › Research › peer-review
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343
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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284
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Reading metrics for estimating task efficiency with MT output
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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