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07/31/2023
Lexically-Accelerated Dense Retrieval
Retrieval approaches that score documents based on learned dense vectors...
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11/25/2022
Caching Historical Embeddings in Conversational Search
Rapid response, namely low latency, is fundamental in search application...
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09/01/2022
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax
Learning Electronic Health Records (EHRs) representation is a preeminent...
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08/29/2021
TAR on Social Media: A Framework for Online Content Moderation
Content moderation (removing or limiting the distribution of posts based...
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08/29/2021
Certifying One-Phase Technology-Assisted Reviews
Technology-assisted review (TAR) workflows based on iterative active lea...
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06/18/2021
Heuristic Stopping Rules For Technology-Assisted Review
Technology-assisted review (TAR) refers to human-in-the-loop active lear...
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06/18/2021
On Minimizing Cost in Legal Document Review Workflows
Technology-assisted review (TAR) refers to human-in-the-loop machine lea...
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05/03/2021
Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review
Technology-assisted review (TAR) refers to iterative active learning wor...
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02/04/2021
The Analysis from Nonlinear Distance Metric to Kernel-based Drug Prescription Prediction System
Distance metrics and their nonlinear variant play a crucial role in mach...
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08/04/2020
Cross-Global Attention Graph Kernel Network Prediction of Drug Prescription
We present an end-to-end, interpretable, deep-learning architecture to l...
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07/28/2020
GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection
Offensive language detection is an important and challenging task in nat...
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05/18/2020
Interaction Matching for Long-Tail Multi-Label Classification
We present an elegant and effective approach for addressing limitations ...
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04/29/2020
Training Curricula for Open Domain Answer Re-Ranking
In precision-oriented tasks like answer ranking, it is more important to...
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04/29/2020
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations
Deep pretrained transformer networks are effective at various ranking ta...
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04/29/2020
Expansion via Prediction of Importance with Contextualization
The identification of relevance with little textual context is a primary...
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01/09/2020
Topical Result Caching in Web Search Engines
Caching search results is employed in information retrieval systems to e...
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11/21/2018
Overcoming low-utility facets for complex answer retrieval
Many questions cannot be answered simply; their answers must include num...
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05/02/2018