Search Results - "Ginter, Filip"

Semantic search as extractive paraphrase span detection: Semantic search as extractive...: J. Kanerva et al.

Authors: Kanerva, Jenna Kitti, Hanna Chang, Li-Hsin et al.

Source: Language Resources & Evaluation; Mar2025, Vol. 59 Issue 1, p257-276, 20p

Author Correction: TCBLex - A lexical database of Finnish literary texts for children.

Authors: Nojonen, Tapio Korsu, Kiia Ginter, Filip et al.

Source: Behavior Research Methods. Aug2026, Vol. 58 Issue 8, p1-1. 1p.

Creating Effective Marketing Messages Through Moderately Surprising Syntax.

Authors: Atalay, A. Selin Kihal, Siham El Ellsaesser, Florian

Source: Journal of Marketing. Sep2023, Vol. 87 Issue 5, p755-775. 21p. 1 Color Photograph, 3 Diagrams, 13 Charts, 1 Graph.

Creating a Historical Migration Dataset from Finnish Church Records, 1800–1920.

Authors: Vesalainen, Ari Kanerva, Jenna Nitsch, Aïda et al.

Source: Journal of Open Humanities Data; 2025, Vol. 11 Issue 1, p1-20, 20p

Communities of Style: Artistic Transformation and Social Cohesion in Hollywood, 1930 to 1999.

Authors: Burgdorf, Katharina Wittek, Mark Lerner, Jürgen

Source: Socius: Sociological Research for a Dynamic World. 6/22/2024, p1-20. 20p.

Classifying online corporate reputation with machine learning: a study in the banking domain.

Authors: Rantanen, Anette Salminen, Joni Ginter, Filip et al.

Source: Internet Research; 2020, Vol. 30 Issue 1, p45-66, 22p

Towards diverse and contextually anchored paraphrase modeling: A dataset and baselines for Finnish.

Authors: Kanerva, Jenna Ginter, Filip Chang, Li-Hsin et al.

Source: Natural Language Engineering; Mar2024, Vol. 30 Issue 2, p319-353, 35p

Identifying gender bias in blockbuster movies through the lens of machine learning.

Authors: Haris, Muhammad Junaid Upreti, Aanchal Kurtaran, Melih et al.

Source: Humanities & Social Sciences Communications; 3/10/2023, Vol. 10 Issue 1, p1-8, 8p

Do all politicians sound the same? Comparing model explanations to human responses.

Authors: Tarkka, Otto Elo, Kimmo Ginter, Filip et al.

Source: DHQ: Digital Humanities Quarterly; 2026, Vol. 20 Issue 1, pN.PAG-N.PAG, 1p

Dependency parsing of biomedical text with BERT.

Authors: Kanerva, Jenna Ginter, Filip Pyysalo, Sampo

Source: BMC Bioinformatics. 12/29/2020 Supplement 23, Vol. 21, p1-12. 12p.

Universal Lemmatizer: A sequence-to-sequence model for lemmatizing Universal Dependencies treebanks.

Authors: Kanerva, Jenna Ginter, Filip Salakoski, Tapio

Source: Natural Language Engineering; Sep2021, Vol. 27 Issue 5, p545-574, 30p

Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods.

Authors: Moen, Hans Hakala, Kai Peltonen, Laura-Maria et al.

Source: Journal of the American Medical Informatics Association; Jan2020, Vol. 27 Issue 1, p81-88, 8p, 2 Diagrams, 3 Charts, 1 Graph

A Graph-Based Framework for Structured Prediction Tasks in Sanskrit.

Authors: Krishna, Amrith Santra, Bishal Gupta, Ashim et al.

Source: Computational Linguistics; Dec2020, Vol. 46 Issue 4, p785-845, 61p

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.

Authors: Sarker, Abeed Belousov, Maksim Friedrichs, Jasper et al.

Source: Journal of the American Medical Informatics Association; Oct2018, Vol. 25 Issue 10, p1274-1283, 10p, 5 Charts, 4 Graphs

The Finnish Proposition Bank.

Authors: Haverinen, Katri Kanerva, Jenna Kohonen, Samuel et al.

Source: Language Resources & Evaluation; Dec2015, Vol. 49 Issue 4, p907-926, 20p

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Building the essential resources for Finnish: the Turku Dependency Treebank.

Authors: Haverinen, Katri Nyblom, Jenna Viljanen, Timo et al.

Source: Language Resources & Evaluation; Sep2014, Vol. 48 Issue 3, p493-531, 39p

University of Turku in the BioNLP'11 Shared Task.

Authors: Björne, Jari Ginter, Filip Salakoski, Tapio

Source: BMC Bioinformatics. 2012, Vol. 13 Issue Suppl 11, p1-13. 13p. 2 Diagrams, 5 Charts, 2 Graphs.

Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation.

Authors: Pahikkala, Tapio Ginter, Filip Boberg, Jorma et al.

Source: BMC Bioinformatics. 2005, Vol. 6, p157-12. 12p. 3 Charts, 5 Graphs.