Papers by Roi Blanco
Book QA: Stories of Challenges and Opportunities (D19-58)
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| Challenge: | Existing approaches to answer questions based on the full text of books are limited by their unique characteristics. |
| Approach: | They propose a system for answering questions based on the full text of books . they use a memory network to reason and predict an answer, and a novel question generator to improve generalization. |
| Outcome: | The proposed system improves on the recently published NarrativeQA corpus on Who questions . it shows that the proposed system is highly challenging and needs more research . |
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages (2023.findings-acl)
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| Challenge: | Sentiment analysis systems are used in hundreds of products and languages . Gender and racial biases are well-studied in English, but understudied elsewhere . |
| Approach: | They build a counterfactual evaluation corpus for gender and racial/migrant bias in four languages. |
| Outcome: | The evaluation corpus reveals which models have less bias and pinpoints changes in model bias behaviour, enabling more targeted mitigation strategies. |
Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks (2022.aacl-short)
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| Challenge: | Pre-trained language models (LMs) are state-of-the-art when adapted to text classification tasks. |
| Approach: | They compare fine-tuning, prompting, and knowledge distillation procedures to train pre-trained language models to downstream tasks. |
| Outcome: | The proposed training procedures perform better when trained with fine-tuning or prompting on large train sets than when trained by prompting or fine-untun. |