Publications - COLT: Computational Linguistics and Linguistic Theory (UPF)


Baroni, Marco. Linguistic generalization and compositionality in modern artificial neural networks. Philosophical Transactions of the Royal Society. B: Biological Sciences 2020; 375(1791). Publication link e-Repositori
Boleda, G. Distributional Semantics and Linguistic Theory. Annual Review of Linguistics 2020; 6( ): 213-234. Publication link
Gordon, J.; Lopez-Paz, D.; Baroni, M.; Bouchacourt, D.. Permutation equivariant models for compositional generalization in language. In: -. Proceedings of ICLR 2020 (International Conference on Learning Representations). 1 ed. 2020.
Silberer C, Zarrieß S, Boleda G. Object naming in language and vision: a survey and a new dataset. In: 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. 12th International Conference on Language Resources and Evaluation (LREC 2020). 1 ed. European Language Resources Association (ELRA); 2020. p. 5792-5801. e-Repositori
Silberer C, Zarrieß S, Westera M, Boleda G. Humans meet models on object naming: a new dataset and analysis. In: Scott D, Bel N, Zong C. Proceedings of the 28th International Conference on Computational Linguistics (COLING'2020). 1 ed. International Committee on Computational Linguistics; 2020. p. 1893-1905. Publication link e-Repositori
Sorodoc IT, Gulordava K, Boleda G. Probing for referential information in language models. In: Jurafsky D, Chai J, Schluter N, Tetreault J, editors. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 1 ed. 2020. p. 4177-4189. Publication link e-Repositori
Westera, Matthijs Mayol, Laia; Rohde, Hannah. TED-Q: TED talks and the questions they evoke. In: 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. 12th International Conference on Language Resources and Evaluation (LREC 2020). 1 ed. European Language Resources Association (ELRA); 2020. p. 1118-1127. e-Repositori Other resources
Westera, Matthijs; Amidei, Jacopo; Mayol, Laia. Similarity or deeper understanding? Analyzing the TED-Q dataset of evoked questions. In: Scott D, Bel N, Zong C. Proceedings of the 28th International Conference on Computational Linguistics (COLING'2020). 1 ed. International Committee on Computational Linguistics; 2020. p. 5004-5012. Publication link e-Repositori
Aina L, Gulordava K, Boleda G. Putting Words in Context: LSTM Language Models and Lexical Ambiguity. In: Nakov, P.; Palmer, A. (eds.). The 57th Annual Meeting of the Association for Computational Linguistics (Proceedings of the Conference). 1 ed. East Stroudsburg PA: Association for Computational Linguistics; 2019. p. 3342-3348. Publication link e-Repositori
Aina L, Silberer C, Sorodoc I, Westera M, Boleda G. What do entity-centric models learn? Insights from entity linking in multi-party dialogue. In: -. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1 ed. Association for Computational Linguistics: Human Language Technologies; 2019. p. 3772-3783. e-Repositori
Aina, L.; Bernardi, R.; Fernández, R.. Negated Adjectives and Antonyms in Distributional Semantics: not similar?. Italian Journal of Computational Linguistics 2019; 5(1): 55-71.
Aina, L.; Silberer, C.; Sorodoc, I.; Westera, M.; Boleda, G.. What do entity-centric models learn? Insights from entity linking in multi-party dialogue. In: Burstein, J.; Doran, C.; Solorio, T. (eds.). The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Proceedings of the Conference). 1 ed. East Stroudsburg PA: Association for Computational Linguistics; 2019. p. 3772-3783. e-Repositori
Blasi, D.; Cotterell, R.; Wolf-Sonkin, L.; Stoll, S.; Bickel, B.; Baroni, M.. On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study. In: Nakov, P.; Palmer, A. (eds.). The 57th Annual Meeting of the Association for Computational Linguistics (Proceedings of the Conference). 1 ed. East Stroudsburg PA: Association for Computational Linguistics; 2019. p. 3938-3943. Publication link e-Repositori
Bouchacourt, D.; Baroni, M.. Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances. In: Nakov, P.; Palmer, A. (eds.). The 57th Annual Meeting of the Association for Computational Linguistics (Proceedings of the Conference). 1 ed. East Stroudsburg PA: Association for Computational Linguistics; 2019. p. 3909-3918. Publication link
Chaabouni, R.; Kharitonov, E.; Dupoux, E.; Baroni, M.. Anti-efficient encoding in emergent communication. In: Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E.; Garnett, R. (eds.). Advances in Neural Information Processing Systems 32 (NIPS 2019). 1 ed. Vancouver, BC: Curran Associates; 2019. p. 6290-6300.
Chaabouni, R.; Kharitonov, E.; Lazaric, A.; Dupoux, E.; Baroni, M.. Word-order biases in deep-agent emergent communication. In: Nakov, P.; Palmer, A. (eds.). The 57th Annual Meeting of the Association for Computational Linguistics (Proceedings of the Conference). 1 ed. East Stroudsburg PA: Association for Computational Linguistics; 2019. p. 5166-5175. Publication link
Del Tredici M, Fernández R, Boleda G. Short-term meaning shift: a distributional exploration. In: -. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1 ed. Association for Computational Linguistics: Human Language Technologies; 2019. p. 2069-2075. e-Repositori
Dessi, R.; Baroni, M.. CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks. In: Nakov, P.; Palmer, A. (eds.). The 57th Annual Meeting of the Association for Computational Linguistics (Proceedings of the Conference). 1 ed. East Stroudsburg PA: Association for Computational Linguistics; 2019. p. 3919-3923. Publication link
Dessi, R.; Bouchacourt, D.; Crepaldi, D.; Baroni, M.. Focus on what's informative and ignore what's not: Communication strategies in a referential game. In: -. 3d NeurIPS Workshop on Emergent Communication. 1 ed. 2019.
Hahn, M.; Baroni, M.. Tabula nearly rasa: Probing the linguistic knowledge of character-level neural language models trained on unsegmented text. Transactions of the Association for Computational Linguistics 2019; 7( ): 467-484. Publication link e-Repositori
Hererra-Palacio AM, Ventura C, Silberer C, Sorodoc IT, Boleda G, Giro-i-Nieto X. Recurrent Instance Segmentation using Sequences of Referring Expressions. In: Strub F, de Vries H, Wijmans E, Hudson D, Suhr A, Das A, Lee S (org.). Proceedings of NeurIPS 2019 Workshops, Visually Grounded Interaction and Language (ViGIL). 1 ed. The Association for Computational Linguistics; 2019. p. 1-6.
Kharitonov, E.; Chaabouni, R.; Bouchacourt, D.; Baroni, M.. EGG: a toolkit for research on Emergence of lanGuage in Games. In: Huang, R.; Padó, S. (eds.). The 2019 Conference on Empirical Methods in Natural Language Processing And the 9th International Joint Conference on Natural Language Processing. 1 ed. East Stroudsburg PA: Association for Computational Linguistics; 2019. p. 55-60. Publication link
Lake, B.; Linzen, T.; Baroni, M.. Human few-shot learning of compositional instructions. In: Goel, A. K.; Seifert, C. M.; Freksa, C. (eds.). Proceedings of CogSci 2019 (41st Annual Meeting of the Cognitive Science Society). 1 ed. Montreal: Cognitive Science Society; 2019. p. 611-617.
Lakretz, Y.; Kruszewski, G.; Desbordes, T.; Hupkes, D.; Dehaene, S.; Baroni, M.. The emergence of number and syntax units in LSTM language models. In: Burstein, J.; Doran, C.; Solorio, T. (eds.). The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Proceedings of the Conference). 1 ed. East Stroudsburg PA: Association for Computational Linguistics; 2019. p. 11-20. Publication link
Westera M. Rise-fall-rise as a marker of secondary QUDs. In: Gutzmann D, Turgay K (eds.). Secondary ContentThe Semantics and Pragmatics of Side Issues. 1 ed. Brill; 2019. p. 376-404. Publication link
Westera M, Boleda G. Don't blame distributional semantics if it can't do entailment. In: -. Proceedings of the 13th International Conference on Computational Semantics - Long Papers. 1 ed. Association for Computational Linguistics (ACL); 2019. p. 120-133. e-Repositori
Westera M, Rohde H. Asking between the lines: Elicitation of evoked questions in text. In: Julian J. Schloder JJ, McHugh D, Roelofsen F (eds.). Proceedings of the 22nd Amsterdam Colloquium. 1 ed. 2019. p. 397-407.
Aina L, Silberer C, Sorodoc IT, Westera M, Boleda G. AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library. In: VV.AA. International Workshop on Semantic Evaluation 2018. 1 ed. 2018. e-Repositori
Aina, Laura; Bernardi, Raffaella; Fernández, Raquel. A distributional study of negated adjectives and antonyms. In: -. Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018. 1 ed. Accademia University Press; 2018. e-Repositori
Boleda G, Baroni M, Padó S. "Show me the cup": reference with continuous representations. In: Gelbukh, A. (ed.). International Conference on Computational Linguistics and Intelligent Text Processing. 1 ed. New York: Springer; 2018. p. 209-224. e-Repositori
Gulordava K, Aina L, Boleda G. How to represent a word and predict it, too: improving tied architectures for language modelling. In: -. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 1 ed. East Stroudsburg PA: Association for Computational Linguistics; 2018. p. 2936-2941. Publication link e-Repositori Other resources
Gulordava, K.; Bojanowski, P.; Grave, E.; Linzen, T.; Baroni, M.. Colorless green recurrent networks dream hierarchically. In: Walker, M.; Ji, H.; Stent, A. (eds.). The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Proceedings of the Conference). 1 ed. East Stroudsburg PA: Association for Computational Linguistics; 2018. p. 1195-1205. Publication link Other resources
Silberer C, Uijlings J, Lapata M. Understanding Visual Scenes. Natural Language Engineering 2018; 24(3): 441-465. Publication link
Silberer, Carina; Pinkal, Manfred. Grounding semantic roles in images. In: -. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 1 ed. East Stroudsburg PA: Association for Computational Linguistics; 2018. p. 2616-2626. e-Repositori
Sorodoc, I T; Pezzelle, S; Bernardi, R. Comparatives, Quantifiers, Proportions: A Multi-Task Model for the Learning of Quantities from Vision. In: VV.AA. 6th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). 1 ed. 2018. p. 419-430. e-Repositori
Sorodoc, I.; Pezzelle, S; Herbelot, A.; DImiccoli, M.; Bernardi, R.. Learning quantification from images: A structured neural architecture. Natural Language Engineering 2018; 24(3): 363-392. Publication link
Sorodoc, Ionut-Teodor; Bernardi, Raffaella; Herbelot, Aurelie; Pezzelle, Sandro; Dimiccoli, Mariella. "Pay Attention to Those Sets!" Learning Quantification from Images.. Natural Language Engineering 2018; 24(3).
Westera M, Goodhue D, Gussenhoven C. The meanings of tones and tunes. In: Gussenhoven, Chen. Handbook of Prosody. 1 ed. Oxford University Press; 2018.
Westera, Matthijs. Rising declaratives of the Quality-suspending kind. Glossa: a journal of general linguistics 2018; 3(1). Publication link e-Repositori

Baroni, Marco. Linguistic generalization and compositionality in modern artificial neural networks. Philosophical Transactions of the Royal Society. B: Biological Sciences 2020; 375(1791).

Boleda, G. Distributional Semantics and Linguistic Theory. Annual Review of Linguistics 2020; 6( ): 213-234.