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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 Page: 1 2 3 Hits 1 – 20 of 42 1 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 2 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 3 Word-embedding based bilingual terminology alignment ... Repar, Andraž; Martinc, Matej; Ulčar, Matej. - : Zenodo, 2021 BASE Show details 4 Word-embedding based bilingual terminology alignment ... Repar, Andraž; Martinc, Matej; Ulčar, Matej. - : Zenodo, 2021 BASE Show details 5 Ekspress news article archive (in Estonian and Russian) 1.0 Purver, Matthew; Pollak, Senja; Freienthal, Linda. - : Ekspress Meedia Group, 2021 BASE Show details 6 Latvian user comment dataset 1.0 Shekhar, Ravi; Purver, Matthew; Pollak, Senja. - : Ekspress Meedia Group, 2021 BASE Show details 7 Ekspress user comment dataset 1.0 Shekhar, Ravi; Pollak, Senja; Pelicon, Andraž. - : Ekspress Meedia Group, 2021 BASE Show details 8 24sata news comment dataset 1.0 Shekhar, Ravi; Pranjic, Marko; Pollak, Senja. - : Styria Media Group, 2021 BASE Show details 9 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 10 24sata news article archive 1.0 Purver, Matthew; Shekhar, Ravi; Pranjić, Marko. - : Styria Media Group, 2021 BASE Show details 11 Latvian Delfi article archive (in Latvian and Russian) 1.0 Pollak, Senja; Purver, Matthew; Shekhar, Ravi. - : Ekspress Meedia Group, 2021 BASE Show details 12 List of single-word male and female occupations in Slovenian Supej, Anka; Ulčar, Matej; Robnik-Šikonja, Marko. - : Jožef Stefan Institute, 2021. : Faculty of Computer and Information Science, University of Ljubljana, 2021 BASE Show details 13 SimLex-999 Slovenian translation SimLex-999-sl 1.0 Pollak, Senja; Vulić, Ivan; Pelicon, Andraž. - : University of Ljubljana, 2021 BASE Show details 14 Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ... Piskorski, Jakub; Babych, Bogdan; Kancheva, Zara. - : Zenodo, 2021 BASE Show details 15 Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages ... Piskorski, Jakub; Babych, Bogdan; Kancheva, Zara. - : Zenodo, 2021 BASE Show details 16 Evaluation of contextual embeddings on less-resourced languages ... Ulčar, Matej; Žagar, Aleš; Armendariz, Carlos S.. - : arXiv, 2021 BASE Show details 17 Simple Discovery of COVID IS WAR Metaphors Using Word Embeddings ... Brglez, Mojca; Pollak, Senja; Vintar, Špela. - : Zenodo, 2021 BASE Show details 18 Simple Discovery of COVID IS WAR Metaphors Using Word Embeddings ... Brglez, Mojca; Pollak, Senja; Vintar, Špela. - : Zenodo, 2021 BASE Show details 19 Investigating cross-lingual training for offensive language detection Pelicon, Andraž; Shekhar, Ravi; Škrlj, Blaž... In: PeerJ Comput Sci (2021) BASE Show details 20 Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech Martinc, Matej; Haider, Fasih; Pollak, Senja; Luz, Saturnino In: Front Aging Neurosci (2021) Abstract: Background: Advances in machine learning (ML) technology have opened new avenues for detection and monitoring of cognitive decline. In this study, a multimodal approach to Alzheimer's dementia detection based on the patient's spontaneous speech is presented. This approach was tested on a standard, publicly available Alzheimer's speech dataset for comparability. The data comprise voice samples from 156 participants (1:1 ratio of Alzheimer's to control), matched by age and gender. Materials and Methods: A recently developed Active Data Representation (ADR) technique for voice processing was employed as a framework for fusion of acoustic and textual features at sentence and word level. Temporal aspects of textual features were investigated in conjunction with acoustic features in order to shed light on the temporal interplay between paralinguistic (acoustic) and linguistic (textual) aspects of Alzheimer's speech. Combinations between several configurations of ADR features and more traditional bag-of-n-grams approaches were used in an ensemble of classifiers built and evaluated on a standardised dataset containing recorded speech of scene descriptions and textual transcripts. Results: Employing only semantic bag-of-n-grams features, an accuracy of 89.58% was achieved in distinguishing between Alzheimer's patients and healthy controls. Adding temporal and structural information by combining bag-of-n-grams features with ADR audio/textual features, the accuracy could be improved to 91.67% on the test set. An accuracy of 93.75% was achieved through late fusion of the three best feature configurations, which corresponds to a 4.7% improvement over the best result reported in the literature for this dataset. Conclusion: The proposed combination of ADR audio and textual features is capable of successfully modelling temporal aspects of the data. The machine learning approach toward dementia detection achieves best performance when ADR features are combined with strong semantic bag-of-n-grams features. This combination leads to state-of-the-art performance on the AD classification task. Keyword: Neuroscience URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236853/ https://doi.org/10.3389/fnagi.2021.642647 http://www.ncbi.nlm.nih.gov/pubmed/34194313 BASE Hide details Page: 1 2 3

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