Qi Yu


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Towards a More In-Depth Detection of Political Framing
Qi Yu
Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

In social sciences, recent years have witnessed a growing interest in applying NLP approaches to automatically detect framing in political discourse. However, most NLP studies by now focus heavily on framing effect arising from topic coverage, whereas framing effect arising from subtle usage of linguistic devices remains understudied. In a collaboration with political science researchers, we intend to investigate framing strategies in German newspaper articles on the “European Refugee Crisis”. With the goal of a more in-depth framing analysis, we not only incorporate lexical cues for shallow topic-related framing, but also propose and operationalize a variety of framing-relevant semantic and pragmatic devices, which are theoretically derived from linguistics and political science research. We demonstrate the influential role of these linguistic devices with a large-scale quantitative analysis, bringing novel insights into the linguistic properties of framing.

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Figurative Language Processing: A Linguistically Informed Feature Analysis of the Behavior of Language Models and Humans
Hyewon Jang | Qi Yu | Diego Frassinelli
Findings of the Association for Computational Linguistics: ACL 2023

Recent years have witnessed a growing interest in investigating what Transformer-based language models (TLMs) actually learn from the training data. This is especially relevant for complex tasks such as the understanding of non-literal meaning. In this work, we probe the performance of three black-box TLMs and two intrinsically transparent white-box models on figurative language classification of sarcasm, similes, idioms, and metaphors. We conduct two studies on the classification results to provide insights into the inner workings of such models. With our first analysis on feature importance, we identify crucial differences in model behavior. With our second analysis using an online experiment with human participants, we inspect different linguistic characteristics of the four figurative language types.


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“Again, Dozens of Refugees Drowned”: A Computational Study of Political Framing Evoked by Presuppositions
Qi Yu
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop

Earlier NLP studies on framing in political discourse have focused heavily on shallow classification of issue framing, while framing effect arising from pragmatic cues remains neglected. We put forward this latter type of framing as “pragmatic framing”. To bridge this gap, we take presupposition-triggering adverbs such as ‘again’ as a study case, and quantitatively investigate how different German newspapers use them to covertly evoke different attitudinal subtexts in their report on the event “European Refugee Crisis” (2014-2018). Our study demonstrates the crucial role of presuppositions in framing, and emphasizes the necessity of more attention on pragmatic framing in the research of automated framing detection.


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KonTra at CMCL 2021 Shared Task: Predicting Eye Movements by Combining BERT with Surface, Linguistic and Behavioral Information
Qi Yu | Aikaterini-Lida Kalouli | Diego Frassinelli
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics

This paper describes the submission of the team KonTra to the CMCL 2021 Shared Task on eye-tracking prediction. Our system combines the embeddings extracted from a fine-tuned BERT model with surface, linguistic and behavioral features, resulting in an average mean absolute error of 4.22 across all 5 eye-tracking measures. We show that word length and features representing the expectedness of a word are consistently the strongest predictors across all 5 eye-tracking measures.


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Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data
Joseph Bullard | Cecilia Ovesdotter Alm | Xumin Liu | Qi Yu | Rubén Proaño
Proceedings of the Third Workshop on Computational Linguistics and Clinical Psychology


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Towards Automatic Annotation of Clinical Decision-Making Style
Limor Hochberg | Cecilia Ovesdotter Alm | Esa M. Rantanen | Qi Yu | Caroline M. DeLong | Anne Haake
Proceedings of LAW VIII - The 8th Linguistic Annotation Workshop

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Towards multimodal modeling of physicians’ diagnostic confidence and self-awareness using medical narratives
Joseph Bullard | Cecilia Ovesdotter Alm | Qi Yu | Pengcheng Shi | Anne Haake
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers