Search Results - "Schlechtweg, Dominik"

Sense through time: diachronic word sense annotations for word sense induction and Lexical Semantic Change Detection by Schlechtweg, Dominik, Zamora-Reina, Frank D., Bravo-Marquez, Felipe, Arefyev, Nikolay

“…Abstract There has been extensive work on human word sense annotation, i.e., manually labeling word uses in natural texts according to their senses. Such…”
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Towards Automating Text Annotation: A Case Study on Semantic Proximity Annotation using GPT-4 by Yadav, Sachin, Choppa, Tejaswi, Schlechtweg, Dominik

“…This paper explores using GPT-3.5 and GPT-4 to automate the data annotation process with automatic prompting techniques. The main aim of this paper is to reuse…”
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Presence or Absence: Are Unknown Word Usages in Dictionaries? by Ma, Xianghe, Schlechtweg, Dominik, Zhao, Wei

“…There has been a surge of interest in computational modeling of semantic change. The foci of previous works are on detecting and interpreting word senses…”
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The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks by Schlechtweg, Dominik, Virk, Shafqat Mumtaz, Arefyev, Nikolay

“…Lexical Semantic Change Detection (LSCD) is a complex, lemma-level task, which is usually operationalized based on two subsequently applied usage-level tasks:…”
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Enriching Word Usage Graphs with Cluster Definitions by Fedorova, Mariia, Kutuzov, Andrey, Arefyev, Nikolay, Schlechtweg, Dominik

“…We present a dataset of word usage graphs (WUGs), where the existing WUGs for multiple languages are enriched with cluster labels functioning as sense…”
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Detection of Non-recorded Word Senses in English and Swedish by Lautenschlager, Jonathan, Sköldberg, Emma, Hengchen, Simon, Schlechtweg, Dominik

“…This study addresses the task of Unknown Sense Detection in English and Swedish. The primary objective of this task is to determine whether the meaning of a…”
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Hands-On Tutorial: Labeling with LLM and Human-in-the-Loop by Artemova, Ekaterina, Tsvigun, Akim, Schlechtweg, Dominik, Fedorova, Natalia, Tilga, Sergei, Obmoroshev, Boris

“…Training and deploying machine learning models relies on a large amount of human-annotated data. As human labeling becomes increasingly expensive and…”
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LSCDiscovery: A shared task on semantic change discovery and detection in Spanish by Zamora-Reina, Frank D, Bravo-Marquez, Felipe, Schlechtweg, Dominik

“…We present the first shared task on semantic change discovery and detection in Spanish and create the first dataset of Spanish words manually annotated for…”
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Simulating Lexical Semantic Change from Sense-Annotated Data by Schlechtweg, Dominik, Walde, Sabine Schulte im

“…We present a novel procedure to simulate lexical semantic change from synchronic sense-annotated data, and demonstrate its usefulness for assessing lexical…”
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More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods by Bott, Thomas, Schlechtweg, Dominik, Walde, Sabine Schulte im

“…This paper presents a comparison of unsupervised methods of hypernymy prediction (i.e., to predict which word in a pair of words such as fish-cod is the…”
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DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages by Schlechtweg, Dominik, Tahmasebi, Nina, Hengchen, Simon, Dubossarsky, Haim, McGillivray, Barbara

“…Word meaning is notoriously difficult to capture, both synchronically and diachronically. In this paper, we describe the creation of the largest resource of…”
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Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection by Kaiser, Jens, Kurtyigit, Sinan, Kotchourko, Serge, Schlechtweg, Dominik

“…Lexical semantic change detection is a new and innovative research field. The optimal fine-tuning of models including pre- and post-processing is largely…”
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Challenges for Computational Lexical Semantic Change by Hengchen, Simon, Tahmasebi, Nina, Schlechtweg, Dominik, Dubossarsky, Haim

“…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…”
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OP-IMS @ DIACR-Ita: Back to the Roots: SGNS+OP+CD still rocks Semantic Change Detection by Kaiser, Jens, Schlechtweg, Dominik, Walde, Sabine Schulte im

“…We present the results of our participation in the DIACR-Ita shared task on lexical semantic change detection for Italian. We exploit one of the earliest and…”
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IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection by Kaiser, Jens, Schlechtweg, Dominik, Papay, Sean, Walde, Sabine Schulte im

“…We present the results of our system for SemEval-2020 Task 1 that exploits a commonly used lexical semantic change detection model based on Skip-Gram with…”
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SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection by Schlechtweg, Dominik, McGillivray, Barbara, Hengchen, Simon, Dubossarsky, Haim, Tahmasebi, Nina

“…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,…”
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The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change by Schlechtweg, Dominik, Virk, Shafqat Mumtaz, Sander, Pauline, Sköldberg, Emma, Linke, Lukas Theuer, Zhang, Tuo, Tahmasebi, Nina, Kuhn, Jonas, Walde, Sabine Schulte im

“…We present the DURel tool that implements the annotation of semantic proximity between uses of words into an online, open source interface. The tool supports…”
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Shared task: Lexical semantic change detection in German (Student Project Report) by Ahmad, Adnan, Desta, Kiflom, Lang, Fabian, Schlechtweg, Dominik

“…Recent NLP architectures have illustrated in various ways how semantic change can be captured across time and domains. However, in terms of evaluation there is…”
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Distribution-based Prediction of the Degree of Grammaticalization for German Prepositions by Schlechtweg, Dominik, Walde, Sabine Schulte im

“…We test the hypothesis that the degree of grammaticalization of German prepositions correlates with their corpus-based contextual dispersion measured by word…”
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Lexical Semantic Change Discovery by Kurtyigit, Sinan, Park, Maike, Schlechtweg, Dominik, Kuhn, Jonas, Walde, Sabine Schulte im

“…While there is a large amount of research in the field of Lexical Semantic Change Detection, only few approaches go beyond a standard benchmark evaluation of…”
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