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1
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations ...
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MFAQ: a Multilingual FAQ Dataset ...
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3
Mapping probability word problems to executable representations ...
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4
Interlocutors’ Age Impacts Teenagers’ Online Writing Style: Accommodation in Intra- and Intergenerational Online Conversations
In: Front Artif Intell (2021)
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Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity [<Journal>]
Emmery, Chris [Verfasser]; Verhoeven, Ben [Verfasser]; Pauw, Guy De [Verfasser].
DNB Subject Category Language
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6
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe
In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02892154 ; Language Resources and Evaluation Conference, ELDA/ELRA, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/en/ (2020)
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The LiLaH Emotion Lexicon of Croatian, Dutch and Slovene
Daelemans, Walter; Fišer, Darja; Franza, Jasmin. - : Jožef Stefan Institute, 2020. : Centre for Computational Linguistics and Psycholinguistics (CLiPS), 2020
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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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10
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe ...
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11
Neural Machine Translation of Artwork Titles Using Iconclass Codes ...
Abstract: We investigate the use of Iconclass in the context of neural machine translation for NL↔EN artwork titles. Iconclass is a widely used iconographic classification system used in the cultural heritage domain to describe and retrieve subjects represented in the visual arts. The resource contains keywords and definitions to encode the presence of objects, people, events and ideas depicted in artworks, such as paintings. We propose a simple concatenation approach that im- proves the quality of automatically generated title translations for artworks, by leveraging textual information extracted from Iconclass. Our results demonstrate that a neural machine translation system is able to exploit this metadata to boost the translation performance of artwork titles. This technology enables interesting applications of machine learning in resource-scarce domains in the cultural sector. ...
Keyword: Computer and Information Science; Natural Language Processing; Social Sciences and Humanities
URL: https://dx.doi.org/10.48448/yk6a-z514
https://underline.io/lecture/6445-neural-machine-translation-of-artwork-titles-using-iconclass-codes
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12
A deep generative approach to native language identification ...
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13
Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models ...
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14
What makes a distributional context useful? Lexical diversity is more important than frequency ...
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15
Children Probably Store Short Rather Than Frequent or Predictable Chunks: Quantitative Evidence From a Corpus Study
Grimm, Robert; Cassani, Giovanni; Gillis, Steven. - : Frontiers Media S.A., 2019
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16
Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-domain Authorship Attribution and Style Change Detection
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17
Multilingual Cross-domain Perspectives on Online Hate Speech ...
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18
Patient representation learning and interpretable evaluation using clinical notes ...
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19
Lexical category acquisition is facilitated by uncertainty in distributional co-occurrences
Cassani, Giovanni; Grimm, Robert; Daelemans, Walter. - : Public Library of Science, 2018
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20
Leveraging Lexical-Semantic Knowledge for Text Classification Tasks
Gurevych, Iryna Akademischer Betreuer]. - Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2017
DNB Subject Category Language
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