Papers by Ieva Staliūnaitė

2 papers
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA (2020.emnlp-main)

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Challenge: Existing knowledge transfer models do not exploit compositionality of language, often relying on superficial features.
Approach: They propose to use a knowledge distillation technique to fine tune RoBERTa, BERT and DistilBERT models to improve their performance.
Outcome: The proposed models improve on the CoQA task with linguistic knowledge and are able to represent compositional and lexical information.
Getting to “Hearer-old”: Charting Referring Expressions Across Time (D18-1)

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Challenge: a study of how expressions that refer to an entity develop over time is done . we track thousands of person and organization entities over 20 years of NYT .
Approach: They track thousands of person and organization entities over 20 years of the NYT . they find that referring expressions evolve over time as entities move from hearer-new to hearer old .
Outcome: The proposed model improves on a majority-class baseline by 10-30% . it shows that the expressions evolve as the entity becomes accepted into common knowledge .

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