• Refine your search:
  • 
    Keyword:
    
    • Computational Linguistics (9)
    • Computation and Language cs.CL (7)
    • FOS Computer and information sciences (7)
    • Condensed Matter Physics (5)
    • Deep Learning (5)
    • Electromagnetism (5)
    • FOS Physical sciences (5)
    • Information and Knowledge Engineering (5)
    • Neural Network (5)
    • Semantics (5)
    •   more
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium:
    
    • Online (22)
  • 
    Type:
    
    • Article (16)
    • Miscellaneous (6)
  • 
    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 Page: 1 2 Hits 1 – 20 of 22 1 Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality ... Thrush, Tristan; Jiang, Ryan; Bartolo, Max. - : arXiv, 2022 BASE Show details 2 ANLIzing the Adversarial Natural Language Inference Dataset Williams, Adina; Thrush, Tristan; Kiela, Douwe In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 3 Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Kiela, Douwe; Talat, Zeerak. - : Underline Science Inc., 2021 BASE Show details 4 FLAVA: A Foundational Language And Vision Alignment Model ... Singh, Amanpreet; Hu, Ronghang; Goswami, Vedanuj. - : arXiv, 2021 BASE Show details 5 I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bansal, Mohit; Kiela, Douwe. - : Underline Science Inc., 2021 BASE Show details 6 Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bartolo, Max; Jia, Robin. - : Underline Science Inc., 2021 BASE Show details 7 Reservoir Transformers ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Kiela, Douwe; Shen, Sheng. - : Underline Science Inc., 2021 BASE Show details 8 Gradient-based Adversarial Attacks against Text Transformers ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Guo, Chuan; Jégou, Hervé. - : Underline Science Inc., 2021 BASE Show details 9 DynaSent: A Dynamic Benchmark for Sentiment Analysis ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Geiger, Atticus; Kiela, Douwe. - : Underline Science Inc., 2021 BASE Show details 10 On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Kaushik, Divyansh; Kiela, Douwe. - : Underline Science Inc., 2021 BASE Show details 11 Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dieuwke; Jia, Robin. - : Underline Science Inc., 2021 BASE Show details 12 Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning Anderson, Andrew James; Kiela, Douwe; Binder, Jeffrey R.... In: J Neurosci (2021) BASE Show details 13 Emergent Linguistic Phenomena in Multi-Agent Communication Games ... Graesser, Laura; Cho, Kyunghyun; Kiela, Douwe. - : arXiv, 2019 BASE Show details 14 Inferring concept hierarchies from text corpora via hyperbolic embeddings ... Le, Matthew; Roller, Stephen; Papaxanthos, Laetitia. - : ETH Zurich, 2019 BASE Show details 15 Inferring concept hierarchies from text corpora via hyperbolic embeddings Roller, Stephen; Le, Matthew; Papaxanthos, Laetitia... In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) (2019) BASE Show details 16 Countering Language Drift via Visual Grounding ... Lee, Jason; Cho, Kyunghyun; Kiela, Douwe. - : arXiv, 2019 BASE Show details 17 Emergent Translation in Multi-Agent Communication ... Lee, Jason; Cho, Kyunghyun; Weston, Jason. - : arXiv, 2017 BASE Show details 18 Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns ... Anderson, AJ; Kiela, Douwe; Clark, Stephen. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 19 Virtual Embodiment: A Scalable Long-Term Strategy for Artificial Intelligence Research ... Kiela, Douwe; Bulat, Luana; Vero, Anita L.. - : arXiv, 2016 BASE Show details 20 HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment ... Vulić, Ivan; Gerz, Daniela; Kiela, Douwe; Hill, Felix; Korhonen, Anna. - : arXiv, 2016 Abstract: We introduce HyperLex - a dataset and evaluation resource that quantifies the extent of of the semantic category membership, that is, type-of relation also known as hyponymy-hypernymy or lexical entailment (LE) relation between 2,616 concept pairs. Cognitive psychology research has established that typicality and category/class membership are computed in human semantic memory as a gradual rather than binary relation. Nevertheless, most NLP research, and existing large-scale invetories of concept category membership (WordNet, DBPedia, etc.) treat category membership and LE as binary. To address this, we asked hundreds of native English speakers to indicate typicality and strength of category membership between a diverse range of concept pairs on a crowdsourcing platform. Our results confirm that category membership and LE are indeed more gradual than binary. We then compare these human judgements with the predictions of automatic systems, which reveals a huge gap between human performance and state-of-the-art ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1608.02117 https://arxiv.org/abs/1608.02117 BASE Hide details Page: 1 2

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 22 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0