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Kristina Gulordava
Kristina Gulordava
Postdoc researcher
Zweryfikowany adres z upf.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Colorless green recurrent networks dream hierarchically
K Gulordava, P Bojanowski, E Grave, T Linzen, M Baroni
NAACL Volume 1 (Long Papers), 1195--1205, 2018
6072018
A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus
K Gulordava, M Baroni
Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural …, 2011
2652011
Diachronic trends in word order freedom and dependency length in dependency-annotated corpora of Latin and Ancient Greek
K Gulordava, P Merlo
Proceedings of the Third International Conference on Dependency Linguistics …, 2015
522015
Putting words in context: LSTM language models and lexical ambiguity
L Aina, K Gulordava, G Boleda
arXiv preprint arXiv:1906.05149, 2019
462019
Probing for Referential Information in Language Models
I Sorodoc, K Gulordava, G Boleda
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
392020
Dependency length minimisation effects in short spans: a large-scale analysis of adjective placement in complex noun phrases
K Gulordava, P Merlo, B Crabbé
ACL Volume 2: Short Papers, 477, 2015
342015
Multi-lingual Dependency Parsing Evaluation: a Large-scale Analysis of Word Order Properties using Artificial Data
K Gulordava, P Merlo
Transactions of the Association for Computational Linguistics 4, 343-356, 2016
312016
Structural and lexical factors in adjective placement in complex noun phrases across Romance languages
K Gulordava, P Merlo
Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015
182015
How to represent a word and predict it, too: Improving tied architectures for language modelling
K Gulordava, L Aina, G Boleda
EMNLP, 2936-2941, 2018
152018
Towards incremental learning of word embeddings using context informativeness
A Kabbach, K Gulordava, A Herbelot
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
112019
Deep daxes: Mutual exclusivity arises through both learning biases and pragmatic strategies in neural networks.
K Gulordava, T Brochhagen, G Boleda
CogSci, 2020
92020
Word order variation and dependency length minimisation: a cross-linguistic computational approach
K Gulordava
University of Geneva, 2018
72018
Computational quantitative syntax
K Gulordava, P Merlo
Romance Languages and Linguistic Theory 16: Selected papers from the 47th …, 2020
62020
Discontinuous Verb Phrases in Parsing and Machine Translation of English and German
S Loáiciga, K Gulordava
LREC, 2016
42016
Which one is the dax? Achieving mutual exclusivity with neural networks
K Gulordava, T Brochhagen, G Boleda
arXiv preprint arXiv:2004.03902, 2020
2020
Measuring distributional semantic effects in syntactic variation
K Gulordava
DSALT abstract, 2016
2016
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