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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 Hits 1 – 6 of 6 1 Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus ... Trotta, Daniela; Guarasci, Raffaele; Leonardelli, Elisa. - : arXiv, 2021 BASE Show details 2 Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Guarasci, Raffaele; Leonardelli, Elisa. - : Underline Science Inc., 2021 BASE Show details 3 Lexicon-Grammar based open information extraction from natural language sentences in Italian Guarasci, Raffaele; Damiano, Emanuele; Minutolo, Aniello... In: ISSN: 0957-4174 ; Expert Systems with Applications ; https://hal.archives-ouvertes.fr/hal-02291746 ; Expert Systems with Applications, Elsevier, 2020, pp.112954. ⟨10.1016/j.eswa.2019.112954⟩ (2020) BASE Show details 4 Developing an annotator for Latin texts using Wikipedia Guarasci, Raffaele In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-01279853 ; Journal of Data Mining and Digital Humanities, Episciences.org, In press (2017) Abstract: International audience ; This work investigates the feasibility of using Wikipedia as a resource for annotations of Latin texts. Although Wikipedia is an excellent resource from which to extract many kinds of information (morphological, syntactic and semantic) to be used in NLP tasks on modern languages, it was rarely applied to perform NLP tasks for the Latin language. The work presents the first steps of the development of a POS Tagger based on the Latin version of Wiktionary and a Wikipedia-based semantic annotator. Keyword: [SHS.CLASS]Humanities and Social Sciences/Classical studies; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Latin language; Part-of-speech tagger; Python; Wikipedia annotator URL: https://hal.archives-ouvertes.fr/hal-01279853v2/document https://hal.archives-ouvertes.fr/hal-01279853 https://hal.archives-ouvertes.fr/hal-01279853v2/file/Developing%20an%20annotator%20for%20Latin%20texts%20using%20Wikipedia.pdf BASE Hide details 5 A hybrid method for the extraction and classification of product features from user-generated contents ... Maisto, Alessandro; Pelosi, Serena; Stingo, Michele. - : University of Salento, 2017 BASE Show details 6 A hybrid method for the extraction and classification of product features from user-generated contents Maisto, Alessandro; Pelosi, Serena; Stingo, Michele... In: Lingue e Linguaggi; Volume 22 (2017) - Special Issue; 137-168 (2017) BASE Show details

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