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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 Hits 41 – 60 of 157 41 Google Colab notebook ... Bleaman, Isaac. - : figshare, 2022 BASE Show details 42 REYD demo files ... Bleaman, Isaac. - : figshare, 2022 BASE Show details 43 Local Sequence Alignment Experiment (3) ... Gagniuc, Paul A.. - : figshare, 2022 BASE Show details 44 Google Colab notebook ... Bleaman, Isaac. - : figshare, 2022 BASE Show details 45 REYD demo files ... Bleaman, Isaac. - : figshare, 2022 BASE Show details 46 NLPropTest: Parsing English to Property-Based Tests with Categorial Grammars ... Gordon, Colin S.. - : figshare, 2022 BASE Show details 47 NLPropTest: Parsing English to Property-Based Tests with Categorial Grammars ... Gordon, Colin S.. - : figshare, 2022 BASE Show details 48 Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ... 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; Mamidi, Radhika; Pant, Kartikey. - : Underline Science Inc., 2022 BASE Show details 49 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... 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; Hou, Yifan; Sachan, Mrinmaya. - : Underline Science Inc., 2022 BASE Show details 50 Pemanfaatan Bank-data Digital Dwibahasa dalam Kajian Terjemahan: Studi kasus padanan bahasa Indonesia untuk verba sinonim bahasa Inggris ROB & STEAL ... Rajeg, Gede Primahadi Wijaya; Rajeg, I Made; Kartini, Putu Dea Indah. - : figshare, 2022 BASE Show details 51 Pemanfaatan Bank-data Digital Dwibahasa dalam Kajian Terjemahan: Studi kasus padanan bahasa Indonesia untuk verba sinonim bahasa Inggris ROB & STEAL ... Rajeg, Gede Primahadi Wijaya; Rajeg, I Made; Kartini, Putu Dea Indah. - : figshare, 2022 BASE Show details 52 Chances and Challenges for Quantitative Approaches in Chinese Historical Phonology ... List, Johann-Mattis. - : Humanities Commons, 2022 BASE Show details 53 Computational Approaches to Historical Language Comparison ... List, Johann-Mattis. - : Humanities Commons, 2022 BASE Show details 54 The glyph project: The distinctiveness of written characters — online crowdsourcing for a typology of letter shapes ... Morin, Olivier. - : Open Science Framework, 2022 BASE Show details 55 Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners Swerts, Marc; Blomsma, Peter; Skantze, Gabriel. - : KTH, Tal, musik och hörsel, TMH, 2022. : Tilburg University, 2022. : Frontiers Media SA, 2022 BASE Show details 56 Found speech and humans in the loop : Ways to gain insight into large quantities of speech Fallgren, Per. - : KTH, Tal-kommunikation, 2022 BASE Show details 57 Is a Wizard-of-Oz Required for Robot-Led Conversation Practice in a Second Language? Águas Lopes, José David; Cumbal, Ronald; Engwall, Olov. - : KTH, Tal-kommunikation, 2022. : KTH, Tal, musik och hörsel, TMH, 2022. : Springer Nature, 2022 BASE Show details 58 Using Machine Learning for Pharmacovigilance: A Systematic Review Patrick Pilipiec; Marcus Liwicki; András Bota In: Pharmaceutics; Volume 14; Issue 2; Pages: 266 (2022) Abstract: Pharmacovigilance is a science that involves the ongoing monitoring of adverse drug reactions to existing medicines. Traditional approaches in this field can be expensive and time-consuming. The application of natural language processing (NLP) to analyze user-generated content is hypothesized as an effective supplemental source of evidence. In this systematic review, a broad and multi-disciplinary literature search was conducted involving four databases. A total of 5318 publications were initially found. Studies were considered relevant if they reported on the application of NLP to understand user-generated text for pharmacovigilance. A total of 16 relevant publications were included in this systematic review. All studies were evaluated to have medium reliability and validity. For all types of drugs, 14 publications reported positive findings with respect to the identification of adverse drug reactions, providing consistent evidence that natural language processing can be used effectively and accurately on user-generated textual content that was published to the Internet to identify adverse drug reactions for the purpose of pharmacovigilance. The evidence presented in this review suggest that the analysis of textual data has the potential to complement the traditional system of pharmacovigilance. Keyword: ADRs; adverse drug reactions; computational linguistics; machine learning; pharmacovigilance; public health; user-generated content URL: https://doi.org/10.3390/pharmaceutics14020266 BASE Hide details 59 Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study Amna Dridi; Mohamed Medhat Gaber; Raja Muhammad Atif Azad; Jagdev Bhogal In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 21 (2022) BASE Show details 60 Правила генерации глагольных словоформ для новописьменного варианта ливвиковского наречия ... Krizhanovskaya, Natalia; Novak, Irina. - : figshare, 2022 BASE Show details Page: 1 2 3 4 5 6 7 8

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