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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 The Helsinki submission to the AmericasNLP shared task ... Vázquez, Raúl; Scherrer, Yves; Virpioja, Sami. - : Zenodo, 2021 BASE Show details 4 D4.3 Tools and Models for Multimodal Multilingual and Discourse-Aware Machine Translation ... Sulubacak, Umut; Laaksonen, Jorma; Tiedemann, Jörg. - : Zenodo, 2021 BASE Show details 5 MeMAD subtitle translation ... Tiedemann, Jörg. - : Zenodo, 2021 BASE Show details 6 The Helsinki submission to the AmericasNLP shared task ... Vázquez, Raúl; Scherrer, Yves; Virpioja, Sami. - : Zenodo, 2021 BASE Show details 7 D4.3 Tools and Models for Multimodal Multilingual and Discourse-Aware Machine Translation ... Sulubacak, Umut; Laaksonen, Jorma; Tiedemann, Jörg. - : Zenodo, 2021 BASE Show details 8 MeMAD subtitle translation ... Tiedemann, Jörg. - : Zenodo, 2021 BASE Show details 9 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 10 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 11 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) Abstract: Psycholinguistic studies of human word processing and lexical access provide ample evidence of the preferred nature of word-initial versus word-final segments, e.g., in terms of attention paid by listeners (greater) or the likelihood of reduction by speakers (lower). This has led to the conjecture—as in Wedel et al. (2019b), but common elsewhere—that languages have evolved to provide more information earlier in words than later. Information-theoretic methods to establish such tendencies in lexicons have suffered from several methodological shortcomings that leave open the question of whether this high word-initial informativeness is actually a property of the lexicon or simply an artefact of the incremental nature of recognition. In this paper, we point out the confounds in existing methods for comparing the informativeness of segments early in the word versus later in the word, and present several new measures that avoid these confounds. When controlling for these confounds, we still find evidence across hundreds of languages that indeed there is a cross-linguistic tendency to front-load information in words. URL: https://hdl.handle.net/20.500.11850/518997 https://doi.org/10.3929/ethz-b-000518997 BASE Hide details 12 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 13 Dictionary-based Debiasing of Pre-trained Word Embeddings. Bollegala, Danushka; Kaneko, Masahiro. - : Association for Computational Linguistics, 2021 BASE Show details 14 Debiasing Pre-trained Contextualised Embeddings. Kaneko, Masahiro; Bollegala, Danushka. - : Association for Computational Linguistics, 2021 BASE Show details 15 Is supervised syntactic parsing beneficial for language understanding tasks? An empirical investigation Glavaš, Goran; Vulić, Ivan. - : Association for Computational Linguistics, 2021 BASE Show details 16 Model for Normalizing Historical English ... Hämäläinen, Mika; Säily, Tanja; Rueter, Jack. - : https://b2share.eudat.eu, 2020 BASE Show details 17 Natas - Python 3 library for processing historical English ... Hämäläinen, Mika; Hengchen, Simon; Säily, Tanja. - : https://b2share.eudat.eu, 2020 BASE Show details 18 XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection ... Öhman, Emily; Pàmies, Marc; Kajava, Kaisla. - : arXiv, 2020 BASE Show details 19 LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT? ... Pàmies, Marc; Öhman, Emily; Kajava, Kaisla. - : arXiv, 2020 BASE Show details 20 The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT ... Tiedemann, Jörg. - : arXiv, 2020 BASE Show details Page: 1 2 3

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