Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards | 0 | 0.34 | 2022 |
Temporal Early Exiting for Streaming Speech Commands Recognition. | 0 | 0.34 | 2022 |
Integration of Text and Geospatial Search for Hydrographic Datasets Using the Lucene Search Library | 0 | 0.34 | 2022 |
Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking | 0 | 0.34 | 2022 |
Contextualized Query Embeddings for Conversational Search. | 0 | 0.34 | 2021 |
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard | 2 | 0.40 | 2021 |
Segatron: Segment-Aware Transformer For Language Modeling And Understanding | 0 | 0.34 | 2021 |
Fostering Community Engagement Through Datathon Events: The Archives Unleashed Experience | 0 | 0.34 | 2021 |
In-Batch Negatives For Knowledge Distillation With Tightly-Coupled Teachers For Dense Retrieval | 0 | 0.34 | 2021 |
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval. | 0 | 0.34 | 2021 |
The Archives Unleashed Project: Technology, Process, and Community to Improve Scholarly Access to Web Archives | 0 | 0.34 | 2020 |
Cross-Lingual Training of Neural Models for Document Ranking. | 0 | 0.34 | 2020 |
Capreolus - A Toolkit for End-to-End Neural Ad Hoc Retrieval. | 1 | 0.35 | 2020 |
TREC 2020 Notebook - CAsT Track. | 0 | 0.34 | 2020 |
Update Delivery Mechanisms for Prospective Information Needs: A Reproducibility Study | 0 | 0.34 | 2020 |
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset | 0 | 0.34 | 2020 |
An Open-Source Interface to the Canadian Surface Prediction Archive | 0 | 0.34 | 2020 |
Applying BERT to Document Retrieval with Birch | 2 | 0.36 | 2019 |
Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models. | 11 | 0.63 | 2019 |
Simple Applications of BERT for Ad Hoc Document Retrieval. | 5 | 0.39 | 2019 |
University of Waterloo Docker Images for OSIRRC at SIGIR 2019. | 0 | 0.34 | 2019 |
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering. | 1 | 0.35 | 2019 |
The Impact of Score Ties on Repeatability in Document Ranking | 1 | 0.36 | 2019 |
The SIGIR 2019 Open-Source IR Replicability Challenge (OSIRRC 2019) | 1 | 0.35 | 2019 |
Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems | 1 | 0.36 | 2019 |
Information Retrieval Meets Scalable Text Analytics: Solr Integration with Spark | 0 | 0.34 | 2019 |
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling | 2 | 0.39 | 2019 |
End-to-End Open-Domain Question Answering with BERTserini. | 8 | 0.44 | 2019 |
Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting | 0 | 0.34 | 2019 |
Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval | 2 | 0.36 | 2019 |
The Neural Hype and Comparisons Against Weak Baselines | 9 | 0.47 | 2018 |
Sapphire: Querying RDF Data Made Simple. | 0 | 0.34 | 2018 |
Adaptive Pruning of Neural Language Models for Mobile Devices. | 0 | 0.34 | 2018 |
Update Delivery Mechanisms for Prospective Information Needs: An Analysis of Attention in Mobile Users. | 1 | 0.35 | 2018 |
CNNs for NLP in the Browser: Client-Side Deployment and Visualization Opportunities. | 0 | 0.34 | 2018 |
RecService: Distributed Real-Time Graph Processing at Twitter. | 0 | 0.34 | 2018 |
Choices in Knowledge-Base Retrieval for Consumer Health Search. | 1 | 0.34 | 2018 |
Computing without Servers, V8, Rocket Ships, and Other Batsh*t Crazy Ideas in Data Systems. | 0 | 0.34 | 2018 |
H2oloo at TREC 2018 - Cross-Collection Relevance Transfer for the Common Core Track. | 0 | 0.34 | 2018 |
An Insight Extraction System on BioMedical Literature with Deep Neural Networks. | 0 | 0.34 | 2017 |
Do We Need Specialized Graph Databases?: Benchmarking Real-Time Social Networking Applications. | 6 | 0.56 | 2017 |
Quantization In Append-Only Collections | 0 | 0.34 | 2017 |
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering. | 3 | 0.37 | 2017 |
Experiments with Convolutional Neural Network Models for Answer Selection | 7 | 0.51 | 2017 |
Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering | 1 | 0.35 | 2017 |
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting. | 2 | 0.39 | 2017 |
A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation. | 13 | 0.69 | 2017 |
Searching from Mars | 2 | 0.38 | 2016 |
Sampling Strategies and Active Learning for Volume Estimation. | 1 | 0.36 | 2016 |
Evaluating Search Among Secrets. | 0 | 0.34 | 2016 |