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ORCIDEmily Öhman
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- affiliation: Waseda University, Tokyo, Japan
- affiliation (former): University of Helsinki, Finland
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Journal Articles
- 2023
[j3]Emily Öhman
, Riikka Rossi:
Affect as a proxy for literary mood. J. Data Min. Digit. Humanit. 2023 (2023)- 2022
- [j2]Elissa Nakajima Wickham, Emily Öhman:
Hate speech, Censorship, and Freedom of Speech: The Changing Policies of Reddit. J. Data Min. Digit. Humanit. 2022 (2022) - [j1]Juha Koljonen, Emily Öhman, Pertti Ahonen, Mikko Mattila:
Strategic sentiments and emotions in post-Second World War party manifestos in Finland. J. Comput. Soc. Sci. 5(2): 1529-1554 (2022)
Conference and Workshop Papers
- 2024
- [c12]Hidetsune Takahashi, Xingru Lu, Sean Ishijima, Deokgyu Seo, Yongju Kim, Sehoon Park, Min Song, Kathylene Marante, Keitaro-luke Iso, Hirotaka Tokura, Emily Öhman:
OZemi at SemEval-2024 Task 1: A Simplistic Approach to Textual Relatedness Evaluation Using Transformers and Machine Translation. SemEval@NAACL 2024: 7-12 - 2023
- [c11]Pascale Feldkamp Moreira, Yuri Bizzoni, Emily Öhman, Kristoffer L. Nielbo:
Not just Plot(ting): A Comparison of Two Approaches for Understanding Narrative Text Dynamics. CHR 2023: 191-205 - 2022
- [c10]Emily Öhman:
SELF & FEIL: Emotion Lexicons for Finnish. DHNB 2022: 424-432 - 2020
- [c9]Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann:
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection. COLING 2020: 6542-6552 - [c8]Kaisla Kajava, Emily Öhman, Hui Piao, Jörg Tiedemann:
Emotion Preservation in Translation: Evaluating Datasets for Annotation Projection. DHN 2020: 38-50 - [c7]Emily Öhman:
Emotion Annotation: Rethinking Emotion Categorization. DHN Post-Proceedings 2020: 134-144 - [c6]Emily Öhman:
Challenges in Annotation: Annotator Experiences from a Crowdsourced Emotion Annotation Task. DHN 2020: 293-301 - [c5]Marc Pàmies, Emily Öhman, Kaisla Kajava, Jörg Tiedemann:
LT@Helsinki at SemEval-2020 Task 12: Multilingual or Language-specific BERT? SemEval@COLING 2020: 1569-1575 - 2019
- [c4]Emily Öhman:
Teaching Computational Methods to Humanities Students. DHN 2019: 479-494 - 2018
- [c3]Emily Öhman, Kaisla Kajava:
Sentimentator: Gamifying Fine-Grained Sentiment Annotation. DHN 2018: 98-110 - [c2]Emily Öhman, Kaisla Kajava, Jörg Tiedemann, Timo Honkela:
Creating a Dataset for Multilingual Fine-grained Emotion-detection Using Gamification-based Annotation. WASSA@EMNLP 2018: 24-30 - 2016
- [c1]Emily Öhman, Timo Honkela, Jörg Tiedemann:
The Challenges of Multi-dimensional Sentiment Analysis Across Languages. PEOPLES@COLING 2016: 138-142
Informal and Other Publications
- 2024
- [i6]Emily Öhman, Riikka Rossi:
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels. CoRR abs/2406.01021 (2024) - 2023
- [i5]Emily Öhman, Riikka Rossi:
Affect as a proxy for literary mood. CoRR abs/2304.02894 (2023) - 2022
- [i4]Elissa Nakajima Wickham, Emily Öhman:
Hate speech, Censorship, and Freedom of Speech: The Changing Policies of Reddit. CoRR abs/2203.09673 (2022) - 2021
- [i3]Emily Öhman:
SELF & FEIL: Emotion and Intensity Lexicons for Finnish. CoRR abs/2104.13691 (2021) - 2020
- [i2]Marc Pàmies, Emily Öhman, Kaisla Kajava, Jörg Tiedemann:
LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT? CoRR abs/2008.00805 (2020) - [i1]Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann:
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection. CoRR abs/2011.01612 (2020)
Coauthor Index
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