• Refine your search:
  • 
    Keyword:
    
    • info:eu-repo / classification / ddc / 410 (5)
    • Computation and Language cs.CL (3)
    • FOS Computer and information sciences (3)
    • Neural networks (3)
    • info:eu-repo / classification / ddc / 025.063 (3)
    • Dependency length minimisation (2)
    • Language models (2)
    • Linearisation (2)
    • Treebanks (2)
    • Variation (2)
    •   more
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 16 of 16 1 Deep daxes: Mutual exclusivity arises through both learning biases and pragmatic strategies in neural networks ... Gulordava, Kristina; Brochhagen, Thomas; Boleda, Gemma. - : arXiv, 2020 BASE Show details 2 Putting words in context: LSTM language models and lexical ambiguity ... Aina, Laura; Gulordava, Kristina; Boleda, Gemma. - : arXiv, 2019 BASE Show details 3 Towards incremental learning of word embeddings using context informativeness Kabbach, Alexandre; Gulordava, Kristina; Herbelot, Aurélie In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics : Student Research Workshop pp. 162-168 (2019) BASE Show details 4 Colorless green recurrent networks dream hierarchically Gulordava, Kristina; Bojanowski, Piotr; Grave, Edouard... In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 5 Colorless green recurrent networks dream hierarchically ... Gulordava, Kristina; Bojanowski, Piotr; Grave, Edouard. - : arXiv, 2018 BASE Show details 6 Word order variation and dependency length minimisation : a cross-linguistic computational approach ... Gulordava, Kristina. - : Université de Genève, 2018 BASE Show details 7 Word order variation and dependency length minimisation : a cross-linguistic computational approach Gulordava, Kristina. - : Université de Genève, 2018 BASE Show details 8 Colorless green recurrent networks dream hierarchically Gulordava, Kristina; Grave, Edouard; Bojanowski, Piotr... In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018 P. 1195–1205 (2018) BASE Show details 9 Discontinuous Verb Phrases in Parsing and Machine Translation of English and German Loaiciga Sanchez, Sharid; Gulordava, Kristina In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) (2016) BASE Show details 10 Multi-lingual Dependency Parsing Evaluation : a Large-scale Analysis of Word Order Properties using Artificial Data Gulordava, Kristina; Merlo, Paola In: ISSN: 2307-387X ; Transactions of the Association for Computational Linguistics, Vol. 4 (2016) pp. 343-356 (2016) BASE Show details 11 Dependency length minimisation effects in short spans: a large-scale analysis of adjective placement in complex noun phrases Gulordava, Kristina; Merlo, Paola; Crabbé, Benoît In: ACL 2015 - the 53rd annual meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01174617 ; ACL 2015 - the 53rd annual meeting of the Association for Computational Linguistics, Jul 2015, Beijing, China (2015) BASE Show details 12 Deep daxes: mutual exclusivity arises through both learning biases and pragmatic strategies in neural networks Gulordava, Kristina; Brochhagen, Thomas; Boleda, Gemma. - : Cognitive Science Society Abstract: Children’s tendency to associate novel words with novel referents has been taken to reflect a bias toward mutual exclusivity. This tendency may be advantageous both as (1) an ad-hoc referent selection heuristic to single out referents lacking a label and as (2) an organizing principle of lexical acquisition. This paper investigates under which circumstances cross-situational neural models can come to exhibit analogous behavior to children, focusing on these two possibilities and their interaction. To this end, we evaluate neural networks’ on both symbolic data and, as a first, on large-scale image data. We find that constraints in both learning and selection can foster mutual exclusivity, as long as they put words in competition for lexical meaning. For computational models, these findings clarify the role of available options for better performance in tasks where mutual exclusivity is advantageous. For cognitive research, they highlight latent interactions between word learning, referent selection mechanisms, and the structure of stimuli of varying complexity: symbolic and visual ; This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 715154), and from the Spanish Ramon´y Cajal programme (grant RYC-2015-18907). We thankfully acknowledge the computer resources at CTE-POWER and the technical support provided by Barcelona Supercomputing Center (RES-IM-2019-3-0006). We are grateful to the NVIDIA Corporation for the donation of GPUs used for this research. Keyword: Acquisition; Learning biases; Lexical meaning; Mutual exclusivity; Neural networks; Pragmatics; Referent selection URL: http://hdl.handle.net/10230/48508 BASE Hide details 13 Putting words in context: LSTM language models and lexical ambiguity Boleda, Gemma; Gulordava, Kristina; Aina, Laura. - : ACL (Association for Computational Linguistics) BASE Show details 14 Probing for referential information in language models Sorodoc, Ionut-Teodor; Gulordava, Kristina; Boleda, Gemma. - : ACL (Association for Computational Linguistics) BASE Show details 15 How to represent a word and predict it, too: improving tied architectures for language modelling Gulordava, Kristina; Aina, Laura; Boleda, Gemma. - : ACL (Association for Computational Linguistics) BASE Show details 16 How to represent a word and predict it, too: improving tied architectures for language modelling Boleda, Gemma; Aina, Laura; Gulordava, Kristina. - : ACL (Association for Computational Linguistics) BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 16 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0