Search Results - "Tahmasebi, Nina"

A Collection of Swedish Diachronic Word Embedding Models Trained on Historical Newspaper Data by Hengchen, Simon, Tahmasebi, Nina

“…This paper describes the creation of several word embedding models based on a large collection of diachronic Swedish newspaper material available through…”
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Studying word meaning evolution through incremental semantic shift detection by Periti, Francesco, Picascia, Sergio, Montanelli, Stefano, Ferrara, Alfio, Tahmasebi, Nina

“…Abstract The study of semantic shift , that is, of how words change meaning as a consequence of social practices, events and political circumstances, is…”
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Named entity evolution recognition on the Blogosphere by Holzmann, Helge, Tahmasebi, Nina, Risse, Thomas

“…Advancements in technology and culture lead to changes in our language. These changes create a gap between the language known by users and the language stored…”
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A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change by Periti, Francesco, Tahmasebi, Nina

“…https://aclanthology.org/2024.naacl-long.240/ Contextualized embeddings are the preferred tool for modeling Lexical Semantic Change (LSC). Current evaluations…”
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Towards mobile language evolution exploitation by Zenz, Gideon, Tahmasebi, Nina, Risse, Thomas

“…Knowing about the evolution of a term can significantly help when searching for relevant information, especially in case of sudden evolutions (e.g. as of…”
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Towards mobile language evolution exploitation: New Business, Design and Models to Create Semantic Ambient Media Experience by ZENZ, Gideon, TAHMASEBI, Nina, RISSE, Thomas

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On the applicability of word sense discrimination on 201 years of modern english by Tahmasebi, Nina, Niklas, Kai, Zenz, Gideon, Risse, Thomas

“…As language evolves over time, documents stored in long- term archives become inaccessible to users. Automatically, detecting and handling language evolution…”
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Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Types by Cassotti, Pierluigi, De Pascale, Stefano, Tahmasebi, Nina

“…There is abundant evidence of the fact that the way words change their meaning can be classified in different types of change, highlighting the relationship…”
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SuperSim: a test set for word similarity and relatedness in Swedish by Hengchen, Simon, Tahmasebi, Nina

“…Language models are notoriously difficult to evaluate. We release SuperSim, a large-scale similarity and relatedness test set for Swedish built with expert…”
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(Chat)GPT v BERT: Dawn of Justice for Semantic Change Detection by Periti, Francesco, Dubossarsky, Haim, Tahmasebi, Nina

“…In the universe of Natural Language Processing, Transformer-based language models like BERT and (Chat)GPT have emerged as lexical superheroes with great power…”
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Visions and open challenges for a knowledge-based culturomics by Tahmasebi, Nina, Borin, Lars, Capannini, Gabriele, Dubhashi, Devdatt, Exner, Peter, Forsberg, Markus, Gossen, Gerhard, Johansson, Fredrik D., Johansson, Richard, Kågebäck, Mikael, Mogren, Olof, Nugues, Pierre, Risse, Thomas

“…The concept of culturomics was born out of the availability of massive amounts of textual data and the interest to make sense of cultural and language…”
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Analyzing Semantic Change through Lexical Replacements by Periti, Francesco, Cassotti, Pierluigi, Dubossarsky, Haim, Tahmasebi, Nina

“…Modern language models are capable of contextualizing words based on their surrounding context. However, this capability is often compromised due to semantic…”
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Computational modeling of semantic change by Tahmasebi, Nina, Dubossarsky, Haim

“…In this chapter we provide an overview of computational modeling for semantic change using large and semi-large textual corpora. We aim to provide a key for…”
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Ambient bloom: new business, content, design and models to increase the semantic ambient media experience by Pogorelc, Bogdan, Lugmayr, Artur, Stockleben, Björn, Vatavu, Radu-Daniel, Tahmasebi, Nina, Serral, Estefanía, Stojmenova, Emilija, Imperl, Bojan, Risse, Thomas, Zenz, Gideon, Gams, Matjaž

“…Semantic ambient media are the novel trend in the world of media reaching from the pioneering subareas such as ambient advertising to the new and emerging…”
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Ambient bloom: new business, content, design and models to increase the semantic ambient media experience: New Business, Design and Models to Create Semantic Ambient Media Experience by POGORELC, Bogdan, LUGMAYR, Artur, GAMS, Matjaž, STOCKLEBEN, Björn, VATAVU, Radu-Daniel, TAHMASEBI, Nina, SERRAL, Estefanía, STOJMENOVA, Emilija, IMPERL, Bojan, RISSE, Thomas, ZENZ, Gideon

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Models and Algorithms for Automatic Detection of Language Evolution by Tahmasebi, Nina N

“…With advances in technology and culture and through high impact events, our language changes. We invent new words, add or change meanings of existing words and…”
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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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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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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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Survey of Computational Approaches to Lexical Semantic Change by Tahmasebi, Nina, Borin, Lars, Jatowt, Adam

“…Our languages are in constant flux driven by external factors such as cultural, societal and technological changes, as well as by only partially understood…”
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