Papers by Imed Zitouni

3 papers
Bag of Experts Architectures for Model Reuse in Conversational Language Understanding (N18-3)

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Challenge: Slot tagging is a key component of natural language understanding systems for personal digital assistants.
Approach: They propose to use a bag of experts architecture to reuse domain data for slot tagging models.
Outcome: Experiments with 10 domains show that the proposed models outperform baseline models by 5.06% and 12.16% when training with only 25% of the training data.
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives (2023.findings-acl)

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Challenge: Dual encoders have been used for retrieval tasks and representation learning with good results.
Approach: They propose an improved contrastive learning objective by adding queries or documents from the same encoder towers to the negatives.
Outcome: The proposed model improves retrieval quality for both symmetric and asymmetric dual encoders by adding queries or documents from the same encoder towers to the negatives.
Exploring Dual Encoder Architectures for Question Answering (2022.emnlp-main)

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Challenge: Dual encoders have been used for question-answering and information retrieval tasks with good results.
Approach: They propose to use two different versions of dual encoders for QA retrieval tasks . they propose to share parameters in projection layers between two encoder towers .
Outcome: The proposed architectures outperform SDE and ADE on QA retrieval tasks.

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