activity
20162021
most citedTime-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change

101 citations · 200 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CL2021★ 5 cited

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…

cs.CL2021

DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen +2

Word meaning is notoriously difficult to capture, both synchronically and diachronically. In this paper, we describe the creation of the largest resource of graded contextualized,…

cs.CL2021★ 6 cited

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…

cs.CL2021★ 15 cited

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…

cs.CL2020★ 2 cited

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…

cs.CL2020★ 12 cited

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…