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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 4 5 6 7 8 9...83 Hits 81 – 100 of 1.655 81 Comparing acoustic analyses of speech data collected remotely ... Zhang, C.; Jepson, K.M.; Lohfink, G.. - : Data Archiving and Networked Services (DANS), 2021 BASE Show details 82 Free Software Tools for Computational Linguistics: An Overview ... Đurić D., Miloš. - : Zenodo, 2021 BASE Show details 83 Free Software Tools for Computational Linguistics: An Overview ... Đurić D., Miloš. - : Zenodo, 2021 BASE Show details 84 A workbench for corpus linguistic discourse analysis ... Krasselt, Julia; Fluor, Matthias; Rothenhäusler, Klaus. - : Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2021 BASE Show details 85 Adverse Drug Reaction Classification of Tweets with Fusion of Text and Drug Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Sakhovskiy, Andrey; Tutubalina, Elena. - : Underline Science Inc., 2021 BASE Show details 86 Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gupta, Vikram. - : Underline Science Inc., 2021 BASE Show details 87 A Workbench for Corpus Linguistic Discourse Analysis ... Krasselt, Julia; Fluor, Matthias; Rothenhäusler, Klaus. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021 BASE Show details 88 Monolingual Pre-Trained Language Models for Tigrinya ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Jong C.; Gaim, Fitsum; Yang, Wonsuk. - : Underline Science Inc., 2021 Abstract: Pre-trained language models (PLMs) are driving much of the recent progress in natural language processing. Due to the resource-intensive nature of these models, however, under-represented languages without sizable curated data have not seen significant progress. Multilingual PLMs have been introduced with the potential to generalize across many languages. However, their performance fluctuates depending on the target language and trails when compared to their monolingual counterparts. In the case of the Tigrinya language, recent studies report a low performance when applying the current multilingual models. We believe the reasons are its orthography and linguistic properties, especially when compared to the Indo-European and other typologically distant languages that were used to train the models. In this work, we pre-train three monolingual PLMs for Tigrinya on a corpus that we compiled from news sources, and we compare the models with their multilingual counterparts on two downstream tasks – part-of-speech ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis URL: https://underline.io/lecture/39693-monolingual-pre-trained-language-models-for-tigrinya https://dx.doi.org/10.48448/h84h-rh13 BASE Hide details 89 Implicit Sentiment Analysis with Event-centered Text Representation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Wang, Jianan. - : Underline Science Inc., 2021 BASE Show details 90 A cross-linguistic investigation of retroactive similarity-based interference in sentence comprehension. ... Mertzen, Daniela. - : Open Science Framework, 2021 BASE Show details 91 Development of Intellectual Web System for Morph Analyzing of Uzbek Words Davlatyor Mengliev; Vladimir Barakhnin; Nilufar Abdurakhmonova In: Applied Sciences ; Volume 11 ; Issue 19 (2021) BASE Show details 92 Comparison of Machine Learning and Sentiment Analysis in Detection of Suspicious Online Reviewers on Different Type of Data Kristina Machova; Marian Mach; Matej Vasilko In: Sensors; Volume 22; Issue 1; Pages: 155 (2021) BASE Show details 93 Sustainable Smart Cities: Convergence of Artificial Intelligence and Blockchain Ashutosh Sharma; Elizaveta Podoplelova; Gleb Shapovalov... In: Sustainability ; Volume 13 ; Issue 23 (2021) BASE Show details 94 Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set Vladimir Pajković; Mirjana Grdinić-Rakonjac In: Sustainability; Volume 13; Issue 24; Pages: 13837 (2021) BASE Show details 95 A Method for Structure Breaking Point Detection in Engine Oil Pressure Data Aleksandra Grzesiek; Radosław Zimroz; Paweł Śliwiński... In: Energies ; Volume 14 ; Issue 17 (2021) BASE Show details 96 Can Live Streaming Save the Tourism Industry from a Pandemic? A Study of Social Media Mu Zhang; Yifan Zuo; Qihang Qiu In: ISPRS International Journal of Geo-Information ; Volume 10 ; Issue 9 (2021) BASE Show details 97 The Complexity of Medical Device Regulations Has Increased, as Assessed through Data-Driven Techniques Arthur Arnould; Rita Hendricusdottir; Jeroen Bergmann In: Prosthesis ; Volume 3 ; Issue 4 ; Pages 29-330 (2021) BASE Show details 98 AI Augmented Approach to Identify Shared Ideas from Large Format Public Consultation Min-Hsien Weng; Shaoqun Wu; Mark Dyer In: Sustainability ; Volume 13 ; Issue 16 (2021) BASE Show details 99 Preoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging Christian Ott; Katharina Rosengarth; Christian Doenitz; Julius Hoehne; Christina Wendl; Frank Dodoo-Schittko; Elmar Lang; Nils Ole Schmidt; Markus Goldhacker In: Journal of Personalized Medicine; Volume 11; Issue 12; Pages: 1342 (2021) BASE Show details 100 DASentimental: Detecting Depression, Anxiety, and Stress in Texts via Emotional Recall, Cognitive Networks, and Machine Learning Asra Fatima; Ying Li; Thomas Trenholm Hills; Massimo Stella In: Big Data and Cognitive Computing; Volume 5; Issue 4; Pages: 77 (2021) BASE Show details Page: 1 2 3 4 5 6 7 8 9...83

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