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1
Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus ...
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Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement ...
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3
Fine-Grained Fairness Analysis of Abusive Language Detection Systems with CheckList ...
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4
FrameNet-like Annotation of Olfactory Information in Texts ...
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5
Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus ...
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6
A Smell is Worth a Thousand Words: Olfactory Information Extraction and Semantic Processing in a Multilingual Perspective (Invited Talk) ...
Tonelli, Sara. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
Abstract: More than any other sense, smell is linked directly to our emotions and our memories. However, smells are intangible and very difficult to preserve, making it hard to effectively identify, consolidate, and promote the wide-ranging role scents and smelling have in our cultural heritage. While some novel approaches have been recently proposed to monitor so-called urban smellscapes and analyse the olfactory dimension of our environments (Quercia et al., 2015), when it comes to smellscapes from the past little research has been done to keep track of how places, events and people have been described from an olfactory perspective. Fortunately, some key prerequisites for addressing this problem are now in place. In recent years, European cultural heritage institutions have invested heavily in large-scale digitisation: we hold a wealth of object, text and image data which can now be analysed using artificial intelligence. What remains missing is a methodology for the extraction of scent-related information from ... : OASIcs, Vol. 93, 3rd Conference on Language, Data and Knowledge (LDK 2021), pages 2:1-2:1 ...
Keyword: Applied computing → Document analysis; Information systems → Digital libraries and archives; multilingual annotation; olfactory information extraction; smellscapes
URL: https://dx.doi.org/10.4230/oasics.ldk.2021.2
https://drops.dagstuhl.de/opus/volltexte/2021/14538/
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7
Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection
In: EMNLP 2020 - Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-02972203 ; EMNLP 2020 - Conference on Empirical Methods in Natural Language Processing, Nov 2020, Virtual, France (2020)
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A Multilingual Evaluation for Online Hate Speech Detection
In: ISSN: 1533-5399 ; ACM Transactions on Internet Technology ; https://hal.archives-ouvertes.fr/hal-02972184 ; ACM Transactions on Internet Technology, Association for Computing Machinery, 2020, 20 (2), pp.1-22. ⟨10.1145/3377323⟩ (2020)
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9
Creating a Multimodal Dataset of Images and Text to Study Abusive Language ...
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10
Cross-Platform Evaluation for Italian Hate Speech Detection
In: CLiC-it 2019 - 6th Annual Conference of the Italian Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02381152 ; CLiC-it 2019 - 6th Annual Conference of the Italian Association for Computational Linguistics, Nov 2019, Bari, Italy (2019)
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11
Enhancing statistical machine translation with bilingual terminology in a CAT environment
Arcan, Mihael; Turchi, Marco; Tonelli, Sara. - : Association for Machine Translation in the Americas, 2019
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12
SIMPITIKI corpus for simplification in Italian ...
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13
SIMPITIKI corpus for simplification in Italian ...
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14
SIMPITIKI corpus for simplification in Italian ...
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15
The impact of phrases on Italian lexical simplification ...
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16
Italian Lexical Simplification Benchmark ...
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The impact of phrases on Italian lexical simplification ...
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18
Italian Lexical Simplification Benchmark ...
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19
Never Retreat, Never Retract: Argumentation Analysis for Political Speeches
In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence ; AAAI 2018 - 32nd AAAI Conference on Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-01876442 ; AAAI 2018 - 32nd AAAI Conference on Artificial Intelligence, Feb 2018, New Orleans, United States. pp.4889-4896 ; https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16393 (2018)
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20
InriaFBK at Germeval 2018: Identifying Offensive Tweets Using Recurrent Neural Networks
In: http://hw.oeaw.ac.at/8435-5 (2018)
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