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Description

TILDE (Term Independent Likelihood moDEl) serves as a framework for passage re-ranking and expansion, utilizing BERT to boost retrieval effectiveness by merging sparse term matching with advanced contextual representations. The initial version of TILDE calculates term weights across the full BERT vocabulary, which can result in significantly large index sizes. To optimize this, TILDEv2 offers a more streamlined method by determining term weights solely for words found in expanded passages, leading to indexes that are 99% smaller compared to those generated by the original TILDE. This increased efficiency is made possible by employing TILDE as a model for passage expansion, where passages are augmented with top-k terms (such as the top 200) to enhance their overall content. Additionally, it includes scripts that facilitate the indexing of collections, the re-ranking of BM25 results, and the training of models on datasets like MS MARCO, thereby providing a comprehensive toolkit for improving information retrieval tasks. Ultimately, TILDEv2 represents a significant advancement in managing and optimizing passage retrieval systems.

Description

Introducing a comprehensive solution for navigating the complexities of Digital Reinvention. This highly automated and reliable platform allows for swift deployment while minimizing both risk and costs. Transformer adeptly analyzes software applications, extracting their original coding structures and semantics to produce models that can be either tidied up by eliminating redundant code or transitioned into a new programming language, or even restructured into a sophisticated multi-tier architecture. With automation rates exceeding 80%, the platform ensures precise syntactic and semantic translations of legacy systems, effectively safeguarding business logic and significantly shortening the time-to-market compared to traditional methods. By employing cutting-edge analysis and detection algorithms, it adeptly identifies and eliminates dead and duplicate code, substantially lowering your technical debt. In addition, the platform features over 50 aesthetically pleasing widgets and layout templates that allow the modernized applications to function seamlessly across all contemporary screens and mobile devices. Enhanced with Localization and Accessibility support, these applications are designed to be inclusive, ensuring availability for all users, regardless of their location. This comprehensive approach not only streamlines the digital transformation process but also enhances the overall user experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Hugging Face
Python

Integrations

Hugging Face
Python

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

ielab

Country

United States

Website

github.com/ielab/TILDE/tree/main

Vendor Details

Company Name

Morphis Tech

Country

Portugal

Website

morphis-tech.com

Product Features

Product Features

Forms Automation

Approval Process Control
Archiving & Retention
Collaboration
Document Indexing
Drag & Drop
Full Text Search
Remote Document Access
Rules-Based Workflow
Text Editing
Version Control

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Alternatives

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