Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

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  1. Published

    Locke’s Holiday: Belief Bias in Machine Reading

    Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 8240–8245

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  2. Published

    Logical investigations on the adequacy of certain feature-based theories of natural language

    Søgaard, Anders, 2006, Proceedings of The Joint Human Language Technology Conference and the North American Chapter of the Association of Computational Linguistics (HTL-NAACL) 2006, Companion Volume. New York, New York, p. 239-242

    Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Research

  3. Published

    Looking hard: Eye tracking for detecting grammaticality of automatically compressed sentences

    Klerke, S., Martinez Alonso, H. & Søgaard, Anders, 2015, Proceedings of the 20th Nordic Conference of Computational Linguistics NODALIDA 2015. Linköping University Electronic Press, p. 97-106 10 p. (NEALT (Northern European Association of Language Technology) Proceedings Series, Vol. 23).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. Published

    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, p. 3336–3341

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Published

    Mapping Brains with Language Models: A Survey

    Karamolegkou, Antonia, Abdou, M. & Søgaard, Anders, 2023, Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics (ACL), p. 9748-9762

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. Published

    Mathematical problems from applied logic

    Søgaard, Anders, 2007, In: Studia Logica : An International Journal for Symbolic Logic. 87, 2, p. 363-367

    Research output: Contribution to journal › Review › Research

  7. Published

    Mathematical properties of natural language and mathematical properties of linguistic theories

    Søgaard, Anders, 2007, Grammatik i Fokus/Grammar in Focus 21. Lund University Press

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

  8. Published

    Minimax and Neyman–Pearson Meta-Learning for Outlier Languages

    Ponti, E. M., Aralikatte, R., Shrivastava, D., Reddy, S. & Søgaard, Anders, 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, p. 1245-1260

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. Published

    Mining for unambiguous instances to adapt POS taggers to new domains

    Hovy, D., Plank, B., Martinez Alonso, H. & Søgaard, Anders, 2015, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL 2015. Association for Computational Linguistics, p. 1256-1261 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. Published

    Mining wisdom

    Søgaard, Anders, 2012, Proceedings of Workshop on Computational Linguistics in Literature, Northern American Chapter of the Association of Computational Linguistics (NAACL). Association for Computational Linguistics

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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