Papers by Jennifer Biggs

2 papers
Task and Sentiment Adaptation for Appraisal Tagging (2023.eacl-main)

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Challenge: Appraisal framework in linguistics defines the framework for fine-grained evaluations and opinions.
Approach: They propose to use language models to automatically identify and annotate text segments for appraisal.
Outcome: The proposed model achieves superior performance than baseline adapter-based models and other neural classification models for cross-domain and cross-language settings.
English-based acoustic models perform well in the forced alignment of two English-based Pacific Creoles (2025.acl-long)

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Challenge: Currently, European languages dominate phonetic research . forced alignment can accelerate the study of sociophonetic variation in minority languages .
Approach: They propose to use English and custom-made acoustic models to study the alignment of vowels in two Pacific Creoles, Tok Pisin and Bislama.
Outcome: The proposed models perform acceptablely well in English and humans in vowel environments described as ‘Highly Reliable’.

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