| 2020 | ACL | Probing for Referential Information in Language Models. | Ionut-Teodor Sorodoc, Kristina Gulordava, Gemma Boleda |
| 2020 | CogSci | Deep daxes: Mutual exclusivity arises through both learning biases and pragmatic strategies in neural networks. | Kristina Gulordava, Thomas Brochhagen, Gemma Boleda |
| 2019 | ACL | Putting Words in Context: LSTM Language Models and Lexical Ambiguity. | Laura Aina, Kristina Gulordava, Gemma Boleda |
| 2019 | ACL | Towards Incremental Learning of Word Embeddings Using Context Informativeness. | Alexandre Kabbach, Kristina Gulordava, Aurlie Herbelot |
| 2018 | EMNLP | How to represent a word and predict it, too: improving tied architectures for language modelling. | Kristina Gulordava, Laura Aina, Gemma Boleda |
| 2018 | NAACL | Colorless Green Recurrent Networks Dream Hierarchically. | Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni |
| 2016 | LREC | Discontinuous Verb Phrases in Parsing and Machine Translation of English and German. | Sharid Loiciga, Kristina Gulordava |
| 2015 | ACL | Dependency length minimisation effects in short spans: a large-scale analysis of adjective placement in complex noun phrases. | Kristina Gulordava, Paola Merlo, Benot Crabb |
| 2015 | CoNLL | Structural and lexical factors in adjective placement in complex noun phrases across Romance languages. | Kristina Gulordava, Paola Merlo |