using feature maximisation for summarizing scientifc documents
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Updated
May 15, 2018 - HTML
using feature maximisation for summarizing scientifc documents
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This is the code for our ICCV'19 paper on cross-modal learning and retrieval.
elgoog is a search & retrieval engine that uses Inverted Index for lookup and Bayesian Inference Network for retrieval
3D shape retrieval system using QT and custom-engineered similarity metrics.
This repository contains files and information about step 4 of Kaphta Architecture: System for the retrieval and ranking of indexed information, using the R language.
The sources codes of the DR-BERT model and baselines
Simple Indexer / Documen retrieval program.
Codes for master's thesis investigating approaches for building a multilingual, knowledge-grounded dialogue system via cross-task and cross-lingual transfer learning.
Indexes and searches through text files
1401/Spring/InformationRetrieval/g5+23
SVMax : A Feature Embedding Regularizer
Author: Wenhao Yu (wyu1@nd.edu). EMNLP'20. Transfer Learning for Technical Question Answering.
Tracked Vehicle Retrieval by NL Challenge in the 2023 AI City Challenge.
Knowledge pills on Neural Search
Retrieval based TF-IDF English and Burmese bilingual chatbot for Covid-19 domain
Combine fIne-tuning and retrieval-augmented generation
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