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Hello.
I want to make ranking for search engine requests with this Rindow Package.
Does any tutorial could help to make search (results) classification based on this library ???
Thanks for your…
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## Introduction
This document outlines the design for implementing Reciprocal Rank Fusion, RRF, within the neural search plugin. RRF, first outlined in [a 2009 paper by Cormac, Clarke, and Büttcher…
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See issue.
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**Main Problem:**
This paper identified users' search context to improve query suggestion and document ranking. To identify the search context, they consider users' previous queries and document clic…
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Hello, I am studying the paper "Deep Reinforcement Learning for Mention-Ranking Coference Models" and follow the steps to train my own model. But in the third step(Run the NeuralCorefDataExporter clas…
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hi,
When I was pruning, I tried the parameter global-pruning, but I felt that there was a big difference in accuracy, so I was not very clear about the meaning of this parameter
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![metric_comparison](https://user-images.githubusercontent.com/24577675/60579912-b4324680-9da1-11e9-9d20-36e0974ef37f.png)
Based on the above results, the relevance between Out of domain and Out …
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[ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT](https://dl.acm.org/doi/10.1145/3397271.3401075)
## Abstract
Recent progress in Natural Language Un…
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https://arxiv.org/abs/1904.07094
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Hi all,
as I delved further into the topic of recommender systems, the question came up of what the difference is between the two-tower model used here "https://www.tensorflow.org/recommenders/exampl…