Dominik Schlechtweg | DeepAI

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Enrico Santus
27 publications
Vered Shwartz
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Sabine Schulte im Walde
25 publications
Barbara McGillivray
15 publications
Marco Del Tredici
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Jonas Kuhn
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Haim Dubossarsky
9 publications
Nina Tahmasebi
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Simon Hengchen
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Felipe Bravo-Marquez
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Adnan Ahmad
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∙ 05/13/2022

LSCDiscovery: A shared task on semantic change discovery and detection in Spanish

We present the first shared task on semantic change discovery and detect...

0 Frank D. Zamora-Reina, et al. ∙

∙ 06/06/2021

Lexical Semantic Change Discovery

While there is a large amount of research in the field of Lexical Semant...

0 Sinan Kurtyigit, et al. ∙

∙ 05/31/2021

More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods

This paper presents a comparison of unsupervised methods of hypernymy pr...

0 Thomas Bott, et al. ∙

∙ 04/17/2021

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

Word meaning is notoriously difficult to capture, both synchronically an...

0 Dominik Schlechtweg, et al. ∙

∙ 03/12/2021

Explaining and Improving BERT Performance on Lexical Semantic Change Detection

Type- and token-based embedding architectures are still competing in lex...

0 Severin Laicher, et al. ∙

∙ 01/22/2021

Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection

Lexical semantic change detection is a new and innovative research field...

0 Jens Kaiser, et al. ∙

∙ 01/19/2021

Challenges for Computational Lexical Semantic Change

The computational study of lexical semantic change (LSC) has taken off i...

0 Simon Hengchen, et al. ∙

∙ 11/14/2020

CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change Detection

We present the results of our participation in the DIACR-Ita shared task...

0 Severin Laicher, et al. ∙

∙ 11/06/2020

OP-IMS @ DIACR-Ita: Back to the Roots: SGNS+OP+CD still rocks Semantic Change Detection

We present the results of our participation in the DIACR-Ita shared task...

0 Jens Kaiser, et al. ∙

∙ 08/07/2020

IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection

We present the results of our system for SemEval-2020 Task 1 that exploi...

0 Jens Kaiser, et al. ∙

∙ 07/22/2020

SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

Lexical Semantic Change detection, i.e., the task of identifying words t...

0 Dominik Schlechtweg, et al. ∙

∙ 01/21/2020

Shared Task: Lexical Semantic Change Detection in German

Recent NLP architectures have illustrated in various ways how semantic c...

0 Adnan Ahmad, et al. ∙

∙ 01/09/2020

Simulating Lexical Semantic Change from Sense-Annotated Data

We present a novel procedure to simulate lexical semantic change from sy...

0 Dominik Schlechtweg, et al. ∙

∙ 06/07/2019

A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains

We perform an interdisciplinary large-scale evaluation for detecting lex...

0 Dominik Schlechtweg, et al. ∙

∙ 06/06/2019

Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling

We simulate first- and second-order context overlap and show that Skip-G...

0 Dominik Schlechtweg, et al. ∙

∙ 06/04/2019

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change

State-of-the-art models of lexical semantic change detection suffer from...

0 Haim Dubossarsky, et al. ∙

∙ 04/18/2018

Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change

We propose a framework that extends synchronic polysemy annotation to di...

0 Dominik Schlechtweg, et al. ∙

∙ 04/14/2018

Distribution-based Prediction of the Degree of Grammaticalization for German Prepositions

We test the hypothesis that the degree of grammaticalization of German p...

0 Dominik Schlechtweg, et al. ∙

∙ 06/15/2017

German in Flux: Detecting Metaphoric Change via Word Entropy

This paper explores the information-theoretic measure entropy to detect ...

0 Dominik Schlechtweg, et al. ∙

∙ 12/14/2016

Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection

The fundamental role of hypernymy in NLP has motivated the development o...

0 Vered Shwartz, et al. ∙

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