Westera, M., A. Gupta, G. Boleda, S. Padó. 2021. Distributional models of category concepts based on names of category members. Cognitive Science, 45:9, e13029. (data and code).

Aina, L., X. Liao, G. Boleda, M. Westera. 2021. Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution. Proceedings of CoNLL 2021, 454-469. [bib]

Sorodoc, I., G. Boleda, M. Baroni. 2021. Controlled tasks for model analysis: Retrieving discrete information from sequences. Proceedings of BlackBoxNLP 2021, 468-478. [bib]

Aina, L., T. Brochhagen, G. Boleda. 2020. Modeling word interpretation with deep language models: The interaction between expectations and lexical information. Proceedings of the 42th Annual Conference of the Cognitive Science Society (CogSci 2020).

Boleda, G. 2020. Distributional Semantics and Linguistic Theory. Annual Review of Linguistics, Vol. 6: 213-23. DOI: 10.1146/annurev-linguistics-011619-030303

Gulordava, K., T. Brochhagen, G. Boleda. 2020. Deep daxes: Mutual exclusivity arises through both learning biases and pragmatic strategies in neural networks. Proceedings of the 42th Annual Conference of the Cognitive Science Society (CogSci 2020).

Silberer, C., S. Zarrieß, G. Boleda. 2020. Object Naming in Language and Vision: A Survey and a New Dataset. Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020).

Silberer, C., S. Zarrieß, M. Westera, G. Boleda. 2020. Humans Meet Models on Object Naming: A New Dataset and Analysis. Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020).

Sorodoc, I., K. Gulordava, G. Boleda. 2020. Probing for Referential Information in Language Models. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020).

Westera, M., 2020. Implying or implicating not both in declaratives and interrogatives. Proceedings of Sinn und Bedeutung. 24(2), 423-438. DOI: 10.18148/sub/2020.v24i2.906.

Westera M., J. Amidei & L. Mayol. 2020. Similarity or deeper understanding? Analyzing the TED-Q dataset of evoked questions. Proceedings of 28th International Conference on Computational Linguistics (COLING 2020).

Westera, M., G. Boleda. 2020. A closer look at scalar diversity using contextualized semantic similarity. Proceedings of Sinn und Bedeutung 24(2), 439-454. DOI: https://dx.doi.org/10.18148/sub/2020.v24i2.908

Westera, M., L. Mayol & H. Rohde 2020. TED-Q: TED-talks and the questions they evoke. Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020).

Aina L., R. Bernardi, R. Fernández. 2019. Negated Adjectives and Antonyms in Distributional Semantics: not similar?. Italian Journal of Computational Linguistics, 5(1), 57-71. DOI: 10.4000/ijcol.457.

Aina, L., C. Silberer, I. Sorodoc, M. Westera, G. Boleda. 2019. What do entity-centric models learn? Insights from entity linking in multi-party dialogue. In Proceedings of NAACL-HLT 2019 (Annual Conference of the North American Chapter of the Association for Computational Linguistics), 3772-3783, Minneapolis, USA. Association for Computational Linguistics.

Aina, L., K. Gulordava, G. Boleda. 2019. Putting words in context: LSTM language models and lexical ambiguity. In Proceedings of ACL 2019 (57th Annual Meeting of the Association for Computational Linguistics), 3342-3348, Florence, Italy. Association for Computational Linguistics. [code]

Del Tredici, M., R. Fernández, G. Boleda. 2019. Short-term meaning shift: a distributional exploration. In Proceedings of NAACL-HLT 2019 (Annual Conference of the North American Chapter of the Association for Computational Linguistics), 2069-2075, Minneapolis, USA. Association for Computational Linguistics. [bib]

Gehkre, B., L. McNally. 2019. Idioms and the syntax/semantics interface of descriptive content vs. reference. Linguistics 57(4), 769-814.

Herrera, A., C. Ventura, C. Silberer, I. Sorodoc, G. Boleda, X. Girro. 2019. Recurrent Instance Segmentation using Sequences of Referring Expressions. In 3rd Workshop on Visually Grounded Interaction and Language (ViGiL 2019), Vancouver, Canada.

Westera, M., G. Boleda. 2019. Don't blame distributional semantics if it can't do entailment. In Proceedings of IWCS 2019, 120-133, Gothenburg, Sweden. Association for Computational Linguistics.

Aina, L., C. Silberer, I. Sorodoc, M. Westera, G. Boleda. 2018. AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library. In Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018),  pp. 65-69, New Orleans, Louisiana. Association for Computational Linguistics. [code] Winning system in the SemEval-2018 Task 4 competition.

Aina, L., R. Bernardi, R. Fernández. 2018. A distributional study of negated adjectives and antonyms. In Proceedings of the 5th Italian Conference on Computational Linguistics (CLiC-it 2018), Turin, Italy.

Gulordava, K., L. Aina, G. Boleda. 2018. 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  (EMNLP 2018). Brussels, Belgium. Association for Computational Linguistics.

Pezzelle, S., I. Sorodoc, R. Bernardi. 2018. Comparatives, Quantifiers, Proportions: A Multi-Task Model for the Learning of Quantities from Vision. Proceedings of the 2018 North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018), pp. 419–430, New Orleans, Louisiana, Association for Computational Linguistics.

Silberer C., M. Pinkal. 2018. Grounding Semantic Roles in Images. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), pp. 2616–2626. Brussels, Belgium, Association for Computational Linguistics.

Westera, M. 2018. Rising declaratives of the Quality-suspending kind. Glossa: A Journal of General Linguistics, 3(1), 121.

Baroni, M., G. Boleda, S. Padó. 2017. Show me the cup: Reference with continuous representations. In Proceedings of CICLing (International Conference on Computational Linguistics and Intelligent Text Processing), to appear.

Boleda, G., A. Gupta, S. Padó. 2017. Instances and concepts in distributional space. In Proceedings of EACL 2017 (15th Conference of the European Chapter of the Association for Computational Linguistics), 79-85, Valencia, Spain. Association for Computational Linguistics. [dataset]

Boleda, G., S. Padó, N. The Pham, M. Baroni. 2017. Living a discrete life in a continuous world: Reference with distributed representations. In Proceedings of IWCS 2017, Montpellier, France.

Gupta, A., G. Boleda, S. Padó. 2017. Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible. In Proceedings of STARSEM 2017, 104-109, Vancouver, BC. Association for Computational Linguistics.

McNally, L., G. Boleda. 2017. Conceptual vs. Referential Affordance in Concept Composition. In Yoad Winter & James Hampton (eds.) Compositionality and Concepts in Linguistics and Psychology 245-267. Springer.