• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Merlo, Paola (50)
    • Henderson, James (10)
    • Stevenson, Suzanne (8)
    • Tsarfaty, Reut (8)
    • Tiedemann, Jörg (7)
    • Wang, Haozhou (6)
    • Bollegala, Danushka (3)
    • Gulordava, Kristina (3)
    • Samardžić, Tanja (3)
    • Berthouzoz, Cathy (2)
    •   more
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access:
    • free (52)
    • subject to license (0)

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 3 Hits 1 – 20 of 52 1 Exploiting emojis for abusive language detection Wiegand, Michael [Verfasser]; Ruppenhofer, Josef [Verfasser]; Merlo, Paola [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2021 DNB Subject Category Language Show details 2 Implicitly abusive comparisons – a new dataset and linguistic analysis Wiegand, Michael [Verfasser]; Geulig, Maja [Verfasser]; Ruppenhofer, Josef [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2021 DNB Subject Category Language Show details 3 Applying the Transformer to Character-level Transduction Cotterell, Ryan; Hulden, Mans; Wu, Shijie In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021) BASE Show details 4 Telling BERT's Full Story: from Local Attention to Global Aggregation Brunner, Gino; Pascual, Damian; Wattenhofer, Roger In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021) BASE Show details 5 Disambiguatory Signals are Stronger in Word-initial Positions Pimentel, Tiago; Cotterell, Ryan; Roark, Brian In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021) BASE Show details 6 Multi-Adversarial Learning for Cross-Lingual Word Embeddings ... NAACL 2021 2021; Henderson, James; Merlo, Paola. - : Underline Science Inc., 2021 BASE Show details 7 RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding. Bollegala, Danushka; Kawarabayashi, Ken-ichi; Yoshida, Yuichi. - : Association for Computational Linguistics, 2021 BASE Show details 8 Dictionary-based Debiasing of Pre-trained Word Embeddings. Bollegala, Danushka; Kaneko, Masahiro. - : Association for Computational Linguistics, 2021 BASE Show details 9 Debiasing Pre-trained Contextualised Embeddings. Kaneko, Masahiro; Bollegala, Danushka. - : Association for Computational Linguistics, 2021 BASE Show details 10 Is supervised syntactic parsing beneficial for language understanding tasks? An empirical investigation Glavaš, Goran; Vulić, Ivan. - : Association for Computational Linguistics, 2021 BASE Show details 11 Multi-Adversarial Learning for Cross-Lingual Word Embeddings ... Wang, Haozhou; Henderson, James; Merlo, Paola. - : arXiv, 2020 BASE Show details 12 Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings Merlo, Paola; Henderson, James; Wang, Haozhou In: http://infoscience.epfl.ch/record/275419 (2020) Abstract: Distributed representations of words which map each word to a continuous vector have proven useful in capturing important linguistic information not only in a single language but also across different languages. Current unsupervised adversarial approaches show that it is possible to build a mapping matrix that aligns two sets of monolingual word embeddings without high quality parallel data, such as a dictionary or a sentence-aligned corpus. However, without an additional step of refinement, the preliminary mapping learnt by these methods is unsatisfactory, leading to poor performance for typologically distant languages. In this paper, we propose a weakly-supervised adversarial training method to overcome this limitation, based on the intuition that mapping across languages is better done at the concept level than at the word level. We propose a concept-based adversarial training method which improves the performance of previous unsupervised adversarial methods for most languages, and especially for typologically distant language pairs. URL: https://infoscience.epfl.ch/record/275419/files/D19-1450.pdf http://infoscience.epfl.ch/record/275419 https://doi.org/10.18653/v1/D19-1450 BASE Hide details 13 Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings ... Wang, Haozhou; Henderson, James; Merlo, Paola. - : arXiv, 2019 BASE Show details 14 The probability of external causation: an empirical account of crosslinguistic variation in lexical causatives Samardžić, Tanja; Merlo, Paola In: Linguistics. - Berlin [u.a.] : Mouton de Gruyter 56 (2018) 5, 895-938 BLLDB Show details 15 Movement and structure effects on Universal 20 word order frequencies: A quantitative study Merlo, Paola; Ouwayda, Sarah In: Glossa: a journal of general linguistics; Vol 3, No 1 (2018); 84 ; 2397-1835 (2018) BASE Show details 16 Word order variation and dependency length minimisation : a cross-linguistic computational approach Gulordava, Kristina. - : Université de Genève, 2018 BASE Show details 17 CoNLL 2017 Shared Task System Outputs Zeman, Daniel; Potthast, Martin; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017 BASE Show details 18 CLCL (Geneva) DINN Parser : a Neural Network Dependency Parser Ten Years Later Moor, Christophe; Merlo, Paola; Henderson, James... In: Proceedings of the CoNLL 2017 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies P. 228–236 (2017) BASE Show details 19 Some Recent Results on Cross-Linguistic, Corpus-Based Quantitative Modelling of Word Order and Aspect Merlo, Paola In: ISBN: 978-3-319-48831-8 ; Formal Models in the Study of Language pp. 451-464 (2017) BASE Show details 20 Quantitative computational syntax : some initial results Merlo, Paola In: ISSN: 2499-4553 ; Italian Journal of Computational Linguistics, Vol. 2, No 1 (2016) pp. 11-29 (2016) BASE Show details Page: 1 2 3

Mobile view All Catalogues UB Frankfurt Linguistik 6 IDS Mannheim 3 OLC Linguistik 5 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 2 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 14 BDSL 0 IDS Bibliografie zur deutschen Grammatik 1 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 2 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 25 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0