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Found 7 papers, 3 papers with code
Towards Consistency Filtering-Free Unsupervised Learning for Dense Retrieval
In addition, consistency filtering often struggles to identify retrieval intentions and recognize query and corpus distributions in a target domain.
Learned k-NN Distance Estimation
In such analysis, the distances to k nearest neighbors are usually employed, thus its main bottleneck is derived from data retrieval.
Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan
Second, we extracted the location of the WSSCI via the smartphone application.
BanditRank: Learning to Rank Using Contextual Bandits
In the domain of learning to rank for IR, current deep learning models are trained on objective functions different from the measures they are evaluated on.
Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms
Specifically, we leverage the success of representation learning for text and images in the visual question answering (VQA) domain, and adapt the underlying concept and architecture for automated category classification and expert retrieval on image-based questions posted on Yahoo!
Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering
Embedding based approaches are shown to be effective for solving simple Question Answering (QA) problems in recent works.
A Short Note on Proximity-based Scoring of Documents with Multiple Fields
The BM25 ranking function is one of the most well known query relevance document scoring functions and many variations of it are proposed.
