TILDEielab
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Transformer Oracle FormsMorphis Tech
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About
TILDE (Term Independent Likelihood moDEl) is a passage re-ranking and expansion framework built on BERT, designed to enhance retrieval performance by combining sparse term matching with deep contextual representations. The original TILDE model pre-computes term weights across the entire BERT vocabulary, which can lead to large index sizes. To address this, TILDEv2 introduces a more efficient approach by computing term weights only for terms present in expanded passages, resulting in indexes that are 99% smaller than those of the original TILDE. This efficiency is achieved by leveraging TILDE as a passage expansion model, where passages are expanded using top-k terms (e.g., top 200) to enrich their content. It provides scripts for indexing collections, re-ranking BM25 results, and training models using datasets like MS MARCO.
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About
The All-in-One safe passage solution to Digital Reinvention. A highly automated and proven platform, with short time to market, reduced risk and cost. Transformer takes software application and extracts the original code structure and semantics and generates models which can be: simply cleaned up (removal of redundant code etc); or migrated into a new language; or modernized into a multi-tier architecture. Automation ratios over 80% and an accurate syntactic and semantic translation of the legacy systems guaranty the preservation of business logic on significantly reduced time-to-market when compared to other approaches. Use of advanced analysis and detection algorithms ensure that dead and duplicated code is not carried across, greatly reducing your technical debt. +50 beautiful widgets and layout templates enable the modernized applications to run on all modern screens and handheld devices. Along with Localization and Accessibility support, making them available to everyone anywhere.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Academic researchers and developers searching for a tool to implement efficient and scalable passage re-ranking and expansion techniques
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Audience
For programmers and companies seeking an app that can bring forms application to the cloud
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company Informationielab
United States
github.com/ielab/TILDE/tree/main
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Company InformationMorphis Tech
Portugal
morphis-tech.com
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Categories |
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Integrations
Hugging Face
Python
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