Search Results for author:
Found 18 papers, 3 papers with code
A Dutch Dataset for Cross-lingual Multilabel Toxicity Detection
Multi-label toxicity detection is highly prominent, with many research groups, companies, and individuals engaging with it through shared tasks and dedicated venues.
Multi Label Text Classification
Multi-Label Text Classification
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Quantifying Contextual Aspects of Inter-annotator Agreement in Intertextuality Research
We report on an inter-annotator agreement experiment involving instances of text reuse focusing on the well-known case of biblical intertextuality in medieval literature.
Neural Machine Translation of Artwork Titles Using Iconclass Codes
We investigate the use of Iconclass in the context of neural machine translation for NL<->EN artwork titles.
From exemplar to copy: the scribal appropriation of a Hadewijch manuscript computationally explored
This study is devoted to two of the oldest known manuscripts in which the oeuvre of the medieval mystical author Hadewijch has been preserved: Brussels, KBR, 2879-2880 (ms. A) and Brussels, KBR, 2877-2878 (ms. B).
UAntwerp at SemEval-2021 Task 5: Spans are Spans, stacking a binary word level approach to toxic span detection
This paper describes the system developed by the Antwerp Centre for Digital humanities and literary Criticism [UAntwerp] for toxic span detection.
RFC-0000 - RFC on RFCs
Reaching consensus on the technology options to pursue in a programme as large as Time Machine is a complex issue.
Character-level Transformer-based Neural Machine Translation
To stimulate further research in this area and close the gap with subword-level NMT, we make all our code and models publicly available.
On the Transferability of Winning Tickets in Non-Natural Image Datasets
We study the generalization properties of pruned neural networks that are the winners of the lottery ticket hypothesis on datasets of natural images.
Detecting Direct Speech in Multilingual Collection of 19th-century Novels
Fictional prose can be broadly divided into narrative and discursive forms with direct speech being central to any discourse representation (alongside indirect reported speech and free indirect discourse).
Generation of Hip-Hop Lyrics with Hierarchical Modeling and Conditional Templates
This paper addresses Hip-Hop lyric generation with conditional Neural Language Models.
On the Feasibility of Automated Detection of Allusive Text Reuse
The detection of allusive text reuse is particularly challenging due to the sparse evidence on which allusive references rely---commonly based on none or very few shared words.
Improving Lemmatization of Non-Standard Languages with Joint Learning
Lemmatization of standard languages is concerned with (i) abstracting over morphological differences and (ii) resolving token-lemma ambiguities of inflected words in order to map them to a dictionary headword.
Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution
Recent applications of neural language models have led to an increased interest in the automatic generation of natural language.
Integrated Sequence Tagging for Medieval Latin Using Deep Representation Learning
In this paper we consider two sequence tagging tasks for medieval Latin: part-of-speech tagging and lemmatization.
The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language
Although in recent years numerous forms of Internet communication ― such as e-mail, blogs, chat rooms and social network environments ― have emerged, balanced corpora of Internet speech with trustworthy meta-information (e. g. age and gender) or linguistic annotations are still limited.
