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A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
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A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
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A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
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Abstract:
We present an experiment in extracting adjectives which express a specific semantic relation using word embeddings. The results of the experiment are then thoroughly analysed and categorised into groups of adjectives exhibiting formal or semantic similarity. The experiment and analysis are performed for English and Croatian in the domain of karstology using data sets and methods developed in the TermFrame project. The main original contributions of the article are twofold: firstly, proposing a new and promising method of extracting semantically related words relevant for terminology, and secondly, providing a detailed evaluation of the output so that we gain a better understanding of the domain-specific semantic structures on the one hand and the types of similarities extracted by word embeddings on the other. ...
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URL: https://dx.doi.org/10.5281/zenodo.6435389 https://zenodo.org/record/6435389
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EMBEDDIA tools output example corpus of Estonian, Croatian and Latvian news articles 1.0
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Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised? ...
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Keyword extraction datasets for Croatian, Estonian, Latvian and Russian 1.0
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Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings not Always Better Than Static for Semantic Change Detection ...
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Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings not Always Better Than Static for Semantic Change Detection ...
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Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech
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In: Front Aging Neurosci (2021)
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Mining semantic relations from comparable corpora through intersections of word embeddings. ...
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Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift ...
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Mining semantic relations from comparable corpora through intersections of word embeddings. ...
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Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift ...
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Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift ...
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