GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
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Updated
Oct 31, 2019 - Python
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
An easier way to build neural search in the cloud
NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Weaviate Search Graph (GraphQL - RESTful - Semantic Search - Semantic Classification)
Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
it's all about search and its awesomeness
Top2Vec learns jointly embedded topic, document and word vectors.
Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
Examples of Solr configuration entries for Solr plugins and Conceptual Search\Semantic Search from Simon Hughes Dice.com
Fast Full Text Search based on BM25
Distributed, fault tolerant batch processing for Natural Language Applications and Search, using remote partitioning
Dice.com's relevancy feedback solr plugin created by Simon Hughes (Dice). Contains request handlers for doing MLT style recommendations, conceptual search, semantic search and personalized search
Semantic Search for Sustainable Development is experimental code for searching documents for text that "semantically" corresponds to any of the UN's Sustainable development goals/targets. For example, it can be used to mine the national development plan documents of a country and identify pieces of text that correspond to any of the SDGs in order to verify alignment of the plan with the SDGs.
Document Search Engine project with TF-IDF abd Google universal sentence encoder model
Towards an Understanding of Entity-Oriented Search Intents - ECIR'18
IntentsKB: A Knowledge Base of Entity-Oriented Search Intents - CIKM'18
Deeplearing based Reverse Image Search using Annoy library
map of russian nlp papers
The Ontology, Dataset and Knowledge Search Engine
Structural, syntax-aware search for Go code for VS Code.
[DEPRECATED] Baseline Project for Semantic Searching
Semantic Search using FAISS & ElasticSearch
Submission for HackDataKIBots 2018 - Web crawler combined with document analysis
A tool which can find your any document using semantic search
Automatic KeyPhrase Extraction and Semantic Search
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