Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Sanja Štajner"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Even in highly-developed countries, as many as 15–30% of the population can only understand texts written using a basic vocabulary. Their understanding of everyday texts is limited, which prevents them from taking an active role in society and maki
Externí odkaz:
https://doaj.org/article/b0e26db22c794a65947c64f30c89e7ad
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12172-12180
According to the official adult literacy report conducted in 24 highly-developed countries, more than 50% adults, on average, can only understand basic vocabulary, short sentences, and basic syntactic constructions. Everyday information found in news
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1ff886a43c35886f5312c76731e9f2e
https://doi.org/10.1609/aaai.v36i11.21477
https://doi.org/10.1609/aaai.v36i11.21477
Publikováno v:
ACM/IMS Transactions on Data Science. 1:1-19
The detection of vague, speculative, or otherwise uncertain language has been performed in the encyclopedic, political, and scientific domains yet left relatively untouched in finance. However, the latter benefits from public sources of big financial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ce732e26d7aa1c44807dd5302b1d25f
https://doi.org/10.1145/3343039
https://doi.org/10.1145/3343039
Publikováno v:
Expert Systems with Applications. 118:80-91
The current bottleneck of all data-driven lexical simplification (LS) systems is scarcity and small size of parallel corpora (original sentences and their manually simplified versions) used for training. This is especially pronounced for languages ot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd324eeb7ee6010e6b8386a566d99290
https://doi.org/10.1016/j.eswa.2018.08.034
https://doi.org/10.1016/j.eswa.2018.08.034
Autor:
Seren Yenikent, Sanja Štajner
Publikováno v:
RANLP
Automatic detection of the Myers-Briggs Type Indicator (MBTI) from short posts attracted noticeable attention in the last few years. Recent studies showed that this is quite a difficult task, especially on commonly used Twitter data. Obtaining MBTI l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eba931cd45a14f6428d62da85db92f98
https://doi.org/10.26615/978-954-452-072-4_152
https://doi.org/10.26615/978-954-452-072-4_152
Autor:
Sanja Štajner
Publikováno v:
RANLP
Emotion detection from social media posts has attracted noticeable attention from natural language processing (NLP) community in recent years. The ways for obtaining gold labels for training and testing of the systems for automatic emotion detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6edf124d908a0a7c54515ab52703e5bb
https://doi.org/10.26615/978-954-452-072-4_151
https://doi.org/10.26615/978-954-452-072-4_151
Autor:
Seren Yenikent, Sanja Štajner
Publikováno v:
EACL
Scopus-Elsevier
Scopus-Elsevier
Automatic detection of the four MBTI personality dimensions from texts has recently attracted noticeable attention from the natural language processing and computational linguistic communities. Despite the large collections of Twitter data for traini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3ebfa1e77470b7c0acebb170198ce74
https://doi.org/10.18653/v1/2021.eacl-main.312
https://doi.org/10.18653/v1/2021.eacl-main.312
Publikováno v:
DSAI
Conceptual complexity of a written text plays an important role in maintaining reader's interest in reading it. Therefore, automatic text simplification systems should, apart from considering lexical and syntactic complexity of a text, also consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2974bd819cb6a2cbdbf73abeb5320559
https://doi.org/10.1145/3439231.3439263
https://doi.org/10.1145/3439231.3439263
Autor:
Sanja Štajner, Seren Yenikent
Publikováno v:
COLING
Personality profiling has long been used in psychology to predict life outcomes. Recently, automatic detection of personality traits from written messages has gained significant attention in computational linguistics and natural language processing c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bd8a917a89ec4d760a333b2be9c9f20
https://doi.org/10.18653/v1/2020.coling-main.553
https://doi.org/10.18653/v1/2020.coling-main.553
Autor:
Sanja Štajner, Maja Popović
Publikováno v:
RANLP
Štajner, Sanja ORCID: 0000-0002-7780-7035 and Popović, Maja ORCID: 0000-0001-8234-8745 (2019) Automated text simplification as a preprocessing step for machine translation into an under-resourced language. In: Recent Advances in Natural Language Processing (RANLP 2019), 2-4 Sept 2019, Varna, Bulgaria.
Štajner, Sanja ORCID: 0000-0002-7780-7035
In this work, we investigate the possibility of using fully automatic text simplification system on the English source in machine translation (MT) for improving its translation into an under-resourced language. We use the state-of-the-art automatic t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4387a854451aaf0a74e4179c883ea87d
https://doi.org/10.26615/978-954-452-056-4_131
https://doi.org/10.26615/978-954-452-056-4_131