70 citations · 81 across the 7 of their papers we have counts for
8 papers
Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge
Khuyagbaatar Batsuren, Ekaterina Vylomova, Verna Dankers +4
The popular subword tokenizers of current language models, such as Byte-Pair Encoding (BPE), are known not to respect morpheme boundaries, which affects the downstream performance…
Text Characterization Toolkit
Daniel Simig, Tianlu Wang, Verna Dankers +4
In NLP, models are usually evaluated by reporting single-number performance scores on a number of readily available benchmarks, without much deeper analysis. Here, we argue that -…
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes, Mario Giulianelli, Verna Dankers +17
The ability to generalise well is one of the primary desiderata of natural language processing (NLP). Yet, what 'good generalisation' entails and how it should be evaluated is not…
The SIGMORPHON 2022 Shared Task on Morpheme Segmentation
Khuyagbaatar Batsuren, Gábor Bella, Aryaman Arora +10
The SIGMORPHON 2022 shared task on morpheme segmentation challenged systems to decompose a word into a sequence of morphemes and covered most types of morphology: compounds, deriva…
Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship
Temuulen Khishigsuren, Gábor Bella, Khuyagbaatar Batsuren +6
This paper describes a method to enrich lexical resources with content relating to linguistic diversity, based on knowledge from the field of lexical typology. We capture the pheno…
Language Diversity: Visible to Humans, Exploitable by Machines
Gábor Bella, Erdenebileg Byambadorj, Yamini Chandrashekar +3
The Universal Knowledge Core (UKC) is a large multilingual lexical database with a focus on language diversity and covering over a thousand languages. The aim of the database, as w…
Towards Algorithmic Transparency: A Diversity Perspective
Fausto Giunchiglia, Jahna Otterbacher, Styliani Kleanthous +4
As the role of algorithmic systems and processes increases in society, so does the risk of bias, which can result in discrimination against individuals and social groups. Research…
Mitigating Bias in Algorithmic Systems -- A Fish-Eye View
Kalia Orphanou, Jahna Otterbacher, Styliani Kleanthous +6
Mitigating bias in algorithmic systems is a critical issue drawing attention across communities within the information and computer sciences. Given the complexity of the problem an…