• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher
  • 
    Year:
    
    • 2021 (2)
    • 2019 (4)
    • 2018 (1)
    • 2017 (1)
  • 
    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 – 8 of 8 1 Injecting Inductive Biases into Distributed Representations of Text ... Prokhorov, Victor. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 2 Injecting Inductive Biases into Distributed Representations of Text Prokhorov, Victor. - : University of Cambridge, 2021. : Selwyn, 2021 BASE Show details 3 Unseen word representation by aligning heterogeneous lexical semantic spaces ... Prokhorov, Victor; Pilehvar, MT; Kartsaklis, D. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 4 Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces. ... Prokhorov, Victor; Pilehvar, Mohammad Taher; Kartsaklis, Dimitri. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 5 Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces. Prokhorov, Victor; Pilehvar, Mohammad Taher; Kartsaklis, Dimitri; Lio, Pietro; Collier, Nigel. - : AAAI, 2019 Abstract: Word embedding techniques heavily rely on the abundance of training data for individual words. Given the Zipfian distribution of words in natural language texts, a large number of words do not usually appear frequently or at all in the training data. In this paper we put forward a technique that exploits the knowledge encoded in lexical resources, such as WordNet, to induce embeddings for unseen words. Our approach adapts graph embedding and cross-lingual vector space transformation techniques in order to merge lexical knowledge encoded in ontologies with that derived from corpus statistics. We show that the approach can provide consistent performance improvements across multiple evaluation benchmarks: in-vitro, on multiple rare word similarity datasets, and in- vivo, in two downstream text classification tasks. ; MRC URL: https://doi.org/10.17863/CAM.37755 https://www.repository.cam.ac.uk/handle/1810/290525 BASE Hide details 6 Generating knowledge graph paths from textual definitions using sequence-to-sequence models Prokhorov, Victor; Pilehvar, MT; Collier, Nigel. - : NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, 2019 BASE Show details 7 Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces ... Prokhorov, Victor; Pilehvar, Mohammad Taher; Kartsaklis, Dimitri. - : arXiv, 2018 BASE Show details 8 Learning Rare Word Representations using Semantic Bridging ... Prokhorov, Victor; Pilehvar, Mohammad Taher; Kartsaklis, Dimitri. - : arXiv, 2017 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 8 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0