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11/09/2022
Distribution-Aligned Fine-Tuning for Efficient Neural Retrieval
Dual-encoder-based neural retrieval models achieve appreciable performan...
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07/07/2022
Supervised Contrastive Learning Approach for Contextual Ranking
Contextual ranking models have delivered impressive performance improvem...
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10/12/2021
Fast Forward Indexes for Efficient Document Ranking
Neural approaches, specifically transformer models, for ranking document...
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06/23/2021
Learnt Sparsity for Effective and Interpretable Document Ranking
Machine learning models for the ad-hoc retrieval of documents and passag...
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06/14/2021
Exploiting Sentence-Level Representations for Passage Ranking
Recently, pre-trained contextual models, such as BERT, have shown to per...
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04/22/2020
Boilerplate Removal using a Neural Sequence Labeling Model
The extraction of main content from web pages is an important task for n...
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10/22/2018
Node Representation Learning for Directed Graphs
We propose a novel approach for learning node representations in directe...
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07/17/2018