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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 18 of 18 1 A bilingual approach to specialised adjectives through word embeddings in the karstology domain ... Simeunović, Larisa Grčić; Martinc, Matej; Vintar, Špela. - : arXiv, 2022 BASE Show details 2 A bilingual approach to specialised adjectives through word embeddings in the karstology domain ... Grčić Simeunović, Larisa; Martinc, Matej; Vintar, Špela. - : Zenodo, 2022 BASE Show details 3 A bilingual approach to specialised adjectives through word embeddings in the karstology domain ... Grčić Simeunović, Larisa; Martinc, Matej; Vintar, Špela. - : Zenodo, 2022 BASE Show details 4 EMBEDDIA tools output example corpus of Estonian, Croatian and Latvian news articles 1.0 Freienthal, Linda; Pelicon, Andraž; Martinc, Matej. - : Ekspress Meedia Group, 2022. : Styria Media Group, 2022 BASE Show details 5 Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised? ... Koloski, Boshko; Pollak, Senja; Škrlj, Blaž. - : arXiv, 2022 BASE Show details 6 Word-embedding based bilingual terminology alignment ... Repar, Andraž; Martinc, Matej; Ulčar, Matej. - : Zenodo, 2021 BASE Show details 7 Word-embedding based bilingual terminology alignment ... Repar, Andraž; Martinc, Matej; Ulčar, Matej. - : Zenodo, 2021 BASE Show details 8 Keyword extraction datasets for Croatian, Estonian, Latvian and Russian 1.0 Koloski, Boshko; Pollak, Senja; Škrlj, Blaž. - : Ekspress Meedia Group, 2021. : Styria Media Group, 2021 BASE Show details 9 24sata news article archive 1.0 Purver, Matthew; Shekhar, Ravi; Pranjić, Marko. - : Styria Media Group, 2021 BASE Show details 10 Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings not Always Better Than Static for Semantic Change Detection ... Martinc, Matej; Montariol, Syrielle; Zosa, Elaine. - : Zenodo, 2021 BASE Show details 11 Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings not Always Better Than Static for Semantic Change Detection ... Martinc, Matej; Montariol, Syrielle; Zosa, Elaine. - : Zenodo, 2021 BASE Show details 12 Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech Martinc, Matej; Haider, Fasih; Pollak, Senja... In: Front Aging Neurosci (2021) BASE Show details 13 Mining semantic relations from comparable corpora through intersections of word embeddings. ... Vintar, Špela; Grčič Simeunovič, Larisa; Martinc, Matej. - : Zenodo, 2020 BASE Show details 14 Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift ... Martinc, Matej; Kralj Novak, Petra; Pollak, Senja. - : Zenodo, 2020 BASE Show details 15 Mining semantic relations from comparable corpora through intersections of word embeddings. ... Vintar, Špela; Grčič Simeunovič, Larisa; Martinc, Matej. - : Zenodo, 2020 BASE Show details 16 Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift ... Martinc, Matej; Kralj Novak, Petra; Pollak, Senja. - : Zenodo, 2020 BASE Show details 17 Reproduction, replication, analysis and adaptation of a term alignment approach [<Journal>] Repar, Andraž [Verfasser]; Martinc, Matej [Verfasser]; Pollak, Senja [Verfasser] DNB Subject Category Language Show details 18 Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift ... Martinc, Matej; Novak, Petra Kralj; Pollak, Senja. - : arXiv, 2019 Abstract: We propose a new method that leverages contextual embeddings for the task of diachronic semantic shift detection by generating time specific word representations from BERT embeddings. The results of our experiments in the domain specific LiverpoolFC corpus suggest that the proposed method has performance comparable to the current state-of-the-art without requiring any time consuming domain adaptation on large corpora. The results on the newly created Brexit news corpus suggest that the method can be successfully used for the detection of a short-term yearly semantic shift. And lastly, the model also shows promising results in a multilingual settings, where the task was to detect differences and similarities between diachronic semantic shifts in different languages. ... : Accepted to Language Resources and Evaluation (LREC 2020) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1912.01072 https://arxiv.org/abs/1912.01072 BASE Hide details

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