Search Results - "Laippala, Veronika"

Health crisis communication in Finnish news media: Evaluative images of the Covid-19 pandemic in digital news headlines by Saarni, Jenna, Laippala, Veronika

“…During crises, news headlines not only communicate objective information but also express attitudes and emotions towards the reported events through different…”
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Variation in the Marking of Text Organization in French Research Articles: From Short and Specific to Extended and Vague by Laippala, Veronika

“…Adopting a text linguistic, corpus-based approach, this article studies variation in the marking of text organization. Why is text organization sometimes…”
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Exploring the role of lexis and grammar for the stable identification of register in an unrestricted corpus of web documents by Laippala, Veronika, Egbert, Jesse, Biber, Douglas, Kyröläinen, Aki-Juhani

“…The Internet offers great possibilities for many scientific disciplines that utilize text data. However, the potential of online data can be limited by the…”
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Predictive keywords: Using machine learning to explain document characteristics by Kyröläinen, Aki-Juhani, Laippala, Veronika

“…When exploring the characteristics of a discourse domain associated with texts, keyword analysis is widely used in corpus linguistics. However, one of the…”
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Dependency profiles as a tool for big data analysis of linguistic constructions: a case study of emoticons by Laippala, Veronika, Kyröläinen, Aki-Juhani, Kanerva, Jenna, Luotolahti, Juhani, Ginter, Filip

“…This study presents a methodological toolbox for big data analysis of linguistic constructions by introducing dependency profiles, i.e., co-occurrences of…”
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In search of founding era registers: automatic modeling of registers from the corpus of Founding Era American English by Repo, Liina, Hashimoto, Brett, Laippala, Veronika

“…Abstract Registers are situationally defined text varieties, such as letters, essays, or news articles, that are considered to be one of the most important…”
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Register identification from the unrestricted open Web using the Corpus of Online Registers of English by Laippala, Veronika, Rönnqvist, Samuel, Oinonen, Miika, Kyröläinen, Aki-Juhani, Salmela, Anna, Biber, Douglas, Egbert, Jesse, Pyysalo, Sampo

“…This article examines the automatic identification of Web registers, that is, text varieties such as news articles and reviews. Most studies have focused on…”
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Investigating the cross-lingual translatability of VerbNet-style classification by Majewska, Olga, Vulić, Ivan, McCarthy, Diana, Huang, Yan, Murakami, Akira, Laippala, Veronika, Korhonen, Anna

“…VerbNet—the most extensive online verb lexicon currently available for English—has proved useful in supporting a variety of NLP tasks. However, its…”
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Building the essential resources for Finnish: the Turku Dependency Treebank by Haverinen, Katri, Nyblom, Jenna, Viljanen, Timo, Laippala, Veronika, Kohonen, Samuel, Missilä, Anna, Ojala, Stina, Salakoski, Tapio, Ginter, Filip

“…In this paper, we present the final version of a publicly available treebank of Finnish, the Turku Dependency Treebank. The treebank contains 204,399 tokens…”
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Opening up #jesuisCharlie anatomy of a Twitter discussion with mixed methods by Johansson, Marjut, Kyröläinen, Aki-Juhani, Ginter, Filip, Lehti, Lotta, Krizsán, Attila, Laippala, Veronika

“…•The analysis was based on a large-scale corpus of tweets in English in the Twitter discussion with the hashtag #jesuisCharlie.•The analysis was conducted…”
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The Finnish Proposition Bank by Haverinen, Katri, Kanerva, Jenna, Kohonen, Samuel, Missilä, Anna, Ojala, Stina, Viljanen, Timo, Laippala, Veronika, Ginter, Filip

“…We present the Finnish PropBank, a resource for semantic role labeling (SRL) of Finnish based on the Turku Dependency Treebank whose syntax is annotated in the…”
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Statistical parsing of varieties of clinical Finnish by Laippala, Veronika, Viljanen, Timo, Airola, Antti, Kanerva, Jenna, Salanterä, Sanna, Salakoski, Tapio, Ginter, Filip

“…Abstract Objectives In this paper, we study the development and domain-adaptation of statistical syntactic parsers for three different clinical domains in…”
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Towards automated processing of clinical Finnish: Sublanguage analysis and a rule-based parser by Laippala, Veronika, Ginter, Filip, Pyysalo, Sampo, Salakoski, Tapio

“…Abstract Introduction In this paper, we present steps taken towards more efficient automated processing of clinical Finnish, focusing on daily nursing notes in…”
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Statistical parsing of varieties of clinical Finnish: Text Mining and Information Analysis of Health Documents by LAIPPALA, Veronika, VILJANEN, Timo, AIROLA, Antti, KANERVA, Jenna, SALANTERÄ, Sanna, SALAKOSKI, Tapio, GINTER, Filip

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Untangling the Unrestricted Web: Automatic Identification of Multilingual Registers by Henriksson, Erik, Myntti, Amanda, Eskelinen, Anni, Erten-Johansson, Selcen, Hellström, Saara, Laippala, Veronika

“…This article explores deep learning models for the automatic identification of registers - text varieties such as news reports and discussion forums - in…”
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Explaining Classes through Word Attribution by Rönnqvist, Samuel, Myntti, Amanda, Kyröläinen, Aki-Juhani, Pyysalo, Sampo, Laippala, Veronika, Ginter, Filip

“…In recent years, several methods have been proposed for explaining individual predictions of deep learning models, yet there has been little study of how to…”
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Varia by Becker, Martin, Béguelin, Marie-José, Bertrand, Roxane, Corminboeuf, Gilles, Donazzan, Marta, Laippala, Veronika, Lenepveu, Véronique, Nieuwenhuijsen, Dorien, Priego-Valverde, Beatrice, Salles, Mathilde, Sanders, Ted, Santana, Andrea, Spooren, Wilbert

“…Coordination éditoriale du numéro : Shirley Carter-Thomas & Laure Sarda…”
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Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers by Repo, Liina, Skantsi, Valtteri, Rönnqvist, Samuel, Hellström, Saara, Oinonen, Miika, Salmela, Anna, Biber, Douglas, Egbert, Jesse, Pyysalo, Sampo, Laippala, Veronika

“…We explore cross-lingual transfer of register classification for web documents. Registers, that is, text varieties such as blogs or news are one of the primary…”
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FinGPT: Large Generative Models for a Small Language by Luukkonen, Risto, Komulainen, Ville, Luoma, Jouni, Eskelinen, Anni, Kanerva, Jenna, Kupari, Hanna-Mari, Ginter, Filip, Laippala, Veronika, Muennighoff, Niklas, Piktus, Aleksandra, Wang, Thomas, Tazi, Nouamane, Scao, Teven Le, Wolf, Thomas, Suominen, Osma, Sairanen, Samuli, Merioksa, Mikko, Heinonen, Jyrki, Vahtola, Aija, Antao, Samuel, Pyysalo, Sampo

“…Large language models (LLMs) excel in many tasks in NLP and beyond, but most open models have very limited coverage of smaller languages and LLM work tends to…”
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Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order by Nakamura, Taishi, Mishra, Mayank, Tedeschi, Simone, Chai, Yekun, Stillerman, Jason T, Friedrich, Felix, Yadav, Prateek, Laud, Tanmay, Chien, Vu Minh, Zhuo, Terry Yue, Misra, Diganta, Bogin, Ben, Vu, Xuan-Son, Karpinska, Marzena, Dantuluri, Arnav Varma, Kusa, Wojciech, Furlanello, Tommaso, Yokota, Rio, Muennighoff, Niklas, Pai, Suhas, Adewumi, Tosin, Laippala, Veronika, Yao, Xiaozhe, Junior, Adalberto, Ariyak, Alpay, Drozd, Aleksandr, Clive, Jordan, Gupta, Kshitij, Chen, Liangyu, Sun, Qi, Tsui, Ken, Persaud, Noah, Fahmy, Nour, Chen, Tianlong, Bansal, Mohit, Monti, Nicolo, Dang, Tai, Luo, Ziyang, Bui, Tien-Tung, Navigli, Roberto, Mehta, Virendra, Blumberg, Matthew, May, Victor, Nguyen, Huu, Pyysalo, Sampo

“…Pretrained language models underpin several AI applications, but their high computational cost for training limits accessibility. Initiatives such as BLOOM and…”
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