Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Senja Pollak"'
Publikováno v:
Computational Linguistics, Vol 47, Iss 1, Pp 141-179 (2021)
AbstractWe present a set of novel neural supervised and unsupervised approaches for determining the readability of documents. In the unsupervised setting, we leverage neural language models, whereas in the supervised setting, three different neural c
Externí odkaz:
https://doaj.org/article/3908c0c788ef491899d7a59df24ef10f
Publikováno v:
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 9, Iss 1 (2021)
In recent years, the use of deep neural networks and dense vector embeddings for text representation have led to excellent results in the field of computational understanding of natural language. It has also been shown that word embeddings often capt
Externí odkaz:
https://doaj.org/article/9d4e22fbe85e43159fb32dc66266b2c4
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
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 pr
Externí odkaz:
https://doaj.org/article/d79d2e8745584c26957d0f88438cded0
Publikováno v:
PeerJ Computer Science, Vol 7, p e559 (2021)
Platforms that feature user-generated content (social media, online forums, newspaper comment sections etc.) have to detect and filter offensive speech within large, fast-changing datasets. While many automatic methods have been proposed and achieve
Externí odkaz:
https://doaj.org/article/28360df9214a4b4b8b2125e66e11a8e3
Publikováno v:
Slavistična Revija, Vol 66, Iss 4 (2019)
V prispevku opišemo leksikalno analizo izluščenih podatkov za določen kolokacijski okvir iz korpusov Janes in Kres ter predstavimo rezultate, ki so zanimivi za spremljanje leksikalnih novosti v slovenski leksiki in za njeno posodobitev v slovarji
Externí odkaz:
https://doaj.org/article/d63cedbe4f4743ac9f5518bf36411ae8
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 5993 (2020)
In this paper, we address the task of zero-shot cross-lingual news sentiment classification. Given the annotated dataset of positive, neutral, and negative news in Slovene, the aim is to develop a news classification system that assigns the sentiment
Externí odkaz:
https://doaj.org/article/f4a65ef29e0c412c9bcdd75a81419a18
Autor:
Senja Pollak
Publikováno v:
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 2, Iss 1 (2014)
Predstavljamo metodo za luščenje definicij iz specializiranih korpusov. Metoda je bila razvita za slovenščino in angleščino, sestavljajo pa jo trije pristopi: v prvem definicije luščimo z leksikoskladenjskimi vzorci, drugi uporablja a
Externí odkaz:
https://doaj.org/article/fe4073ffd9e74c509116540f2d876db7
Publikováno v:
Terminology. :93-120
This paper describes TermEnsembler, a bilingual term extraction and alignment system utilizing a novel ensemble learning approach to bilingual term alignment. In the proposed system, the processing starts with monolingual term extraction from a langu
Autor:
Syrielle Montariol, Matej Martinc, Andraž Pelicon, Senja Pollak, Boshko Koloski, Igor Lončarski, Aljoša Valentinčič, Katarina Sitar Šuštar, Riste Ichev, Martin Žnidaršič
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031236327
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efb1b81d20360b48e2bb77791a362e81
https://doi.org/10.1007/978-3-031-23633-4_1
https://doi.org/10.1007/978-3-031-23633-4_1
Publikováno v:
Machine Learning
Learning from texts has been widely adopted throughout industry and science. While state-of-the-art neural language models have shown very promising results for text classification, they are expensive to (pre-)train, require large amounts of data and