15 citations · 42 across the 6 of their papers we have counts for
9 papers · 1 filter
SuperSim: a test set for word similarity and relatedness in Swedish
Simon Hengchen, Nina Tahmasebi
Language models are notoriously difficult to evaluate. We release SuperSim, a large-scale similarity and relatedness test set for Swedish built with expert human judgments. The tes…
Lexical semantic change for Ancient Greek and Latin
Valerio Perrone, Simon Hengchen, Marco Palma +3
Change and its precondition, variation, are inherent in languages. Over time, new words enter the lexicon, others become obsolete, and existing words acquire new senses. Associatin…
Challenges for Computational Lexical Semantic Change
Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg +1
The computational study of lexical semantic change (LSC) has taken off in the past few years and we are seeing increasing interest in the field, from both computational sciences an…
Topic modelling discourse dynamics in historical newspapers
Jani Marjanen, Elaine Zosa, Simon Hengchen +2
This paper addresses methodological issues in diachronic data analysis for historical research. We apply two families of topic models (LDA and DTM) on a relatively large set of his…
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish
Quan Duong, Mika Hämäläinen, Simon Hengchen
Historical corpora are known to contain errors introduced by OCR (optical character recognition) methods used in the digitization process, often said to be degrading the performanc…
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen +2
Lexical Semantic Change detection, i.e., the task of identifying words that change meaning over time, is a very active research area, with applications in NLP, lexicography, and li…