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Oct 31, 2019 - Python
#
semantic-search
Here are 42 public repositories matching this topic...
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
python
nlp
search-engine
elasticsearch
distributed-systems
machine-learning
microservices
database
computer-vision
deep-learning
neural-network
tensorflow
docker-swarm
grpc
dnn
pytorch
video-processing
cloud-native
semantic-search
gnes
kandloic
commented
Aug 14, 2020
Question
Hi, I have been experimenting with the QA capabilities of Haystack and so far. I was wondering if it was possible for the model to generate paragraph-like contexts.
Additional context
So far, when a question is asked, the model outputs an answer and the context the answer can be found in. The context output by the model is oftentimes fragments of a sentence or fragments of a
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)
python
nlp
docker
kubernetes
search-engine
elasticsearch
machine-learning
cloud
microservices
deep-learning
tensorflow
proxy
helm
pytorch
semantic-search
search-api
nboost
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Jul 16, 2020 - Python
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
python
search
nlp
data-science
machine-learning
natural-language-processing
tutorial
deep-learning
tensorflow
keras
pytorch
code-search
semantic-search-engine
search-algorithm
searching-algorithms
semantic-search
fastai
machine-learning-on-source-code
ml-on-code
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May 28, 2020 - Jupyter Notebook
Weaviate Search Graph (GraphQL - RESTful - Semantic Search - Semantic Classification)
graphql
search-engine
distributed-systems
machine-learning
deep-learning
semantic-web
knowledge-graph
semantic-search-engine
classification
cloud-native
knn-search
vectors
restfull-api
semantic-search
deep-search
weaviate
vector-search
contextual-search
vector-database
vector-search-engine
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Aug 25, 2020 - Go
Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs
python
search-engine
information-retrieval
solr
synonyms
word2vec-model
semantic-search
conceptual-search
synonym-files
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Apr 26, 2019 - Jupyter Notebook
it's all about search and its awesomeness
search
search-engine
natural-language-processing
algorithms
knowledge-graph
synonyms
learning-to-rank
suggestions
spelling-correction
semantic-search
bert
relevant-search
query-understanding
autocomplete-suggestions
ecommerce-search
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Aug 25, 2020
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
python
cuda
embeddings
summarization
summarizer
semantic-search
extractive-summarization
flair
universal-sentence-encoder
token-level-summarization
semantic-summarization
contextual-summarization
debate-evidence
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Apr 14, 2020 - Python
chrome-extension
tensorflow
natural-language
question-answering
semantic-search
bert
unpacked-extension
tensorflowjs
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Aug 25, 2020 - JavaScript
Top2Vec learns jointly embedded topic, document and word vectors.
word-embeddings
topic-modeling
semantic-search
text-search
topic-search
document-embedding
topic-modelling
text-semantic-similarity
topic-vector
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Aug 24, 2020 - Python
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
search-engine
elasticsearch
information-retrieval
solr
word2vec
vector
lsh
locality-sensitive-hashing
lucene
kmeans
glove
quantization
semantic-search
bert
invertedindex
conceptual-search
vector-quantization
kmeans-quantization
elmo
inverted-indexes
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Feb 12, 2020 - Python
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!
natural-language-processing
transformers
pytorch
metric-learning
representation-learning
semantic-search
sentence-similarity
sentence-embeddings
allennlp
self-supervised-learning
contrastive-learning
semantic-text-similarity
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Aug 23, 2020 - Python
Fast Full Text Search based on BM25
nlp
natural-language-processing
full-text-search
tf-idf
tfidf
semantic-search
bm25
bm25f
in-memory-search
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Apr 5, 2019 - JavaScript
Examples of Solr configuration entries for Solr plugins and Conceptual Search\Semantic Search from Simon Hughes Dice.com
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Oct 16, 2016
Distributed, fault tolerant batch processing for Natural Language Applications and Search, using remote partitioning
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Jan 28, 2020 - Java
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
dice
search-engine
information-retrieval
solr
recommender
recommendation-engine
request-handler
semantic-search
solr-plugin
personalized-search
relevance-feedback
solr-mlt-handler
mlt-query
relevancy-feedback-plugin
rocchio-algorithm
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Feb 12, 2020 - Java
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.
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Apr 26, 2019 - Python
An easy to use framework for large-scale fact-checking and question answering
nlp
search-engine
retrieval
question-answering
semantic-search
fact-checking
sentence-embeddings
qr-bert
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Aug 21, 2020 - Python
Document Search Engine project with TF-IDF abd Google universal sentence encoder model
python
data-science
machine-learning
deep-learning
tensorflow
text-analysis
semantic-search-engine
tensorflow-tutorials
tfidf
semantic-search
tensorflow-models
text-search
document-similarity
document-search
juypter
tfidf-text-analysis
text-semantic-similarity
universal-sentence-encoder
tfidf-vectorizer
python-text-analysis
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Apr 21, 2020 - Jupyter Notebook
Towards an Understanding of Entity-Oriented Search Intents - ECIR'18
search-engine
semantic-search
search-engines
understading
test-collection
query-intent
query-understanding
user-intent
intent-classification
search-intent
entity-oriented
entity-oriented-search-intent
ecir-2018
ecir-18
ecir2018
ecir18
query-intent-classification
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Jun 28, 2019
IntentsKB: A Knowledge Base of Entity-Oriented Search Intents - CIKM'18
search-engine
knowledgebase
knowledge-base
semantic-search
search-engines
query-intent
query-understanding
user-intent
understanding
search-intent
entity-oriented
entity-oriented-search-intent
cikm2018
cikm-2018
cikm-18
cikm18
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Jun 28, 2019
Deeplearing based Reverse Image Search using Annoy library
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Mar 15, 2019 - Jupyter Notebook
map of russian nlp papers
nlp
search-engine
natural-language-processing
information-retrieval
research
web-app
russian
semantic-search
scholarly-articles
scienticometrics
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May 8, 2020 - Jupyter Notebook
Semantic Search using FAISS & ElasticSearch
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Jun 4, 2020 - Python
The Ontology, Dataset and Knowledge Search Engine
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May 25, 2020 - Java
Structural, syntax-aware search for Go code for VS Code.
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Jul 21, 2020 - TypeScript
[DEPRECATED] Baseline Project for Semantic Searching
cbir
visual-search
approximate-nearest-neighbor-search
semantic-search
content-based
product-quantization
similar-search
polysemous-codes
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Oct 15, 2018 - Python
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Feb 28, 2017 - Java
Submission for HackDataKIBots 2018 - Web crawler combined with document analysis
microsoft
crawler
machine-learning
natural-language-processing
hackathon
textract
semantic-search
natural-language-understanding
mannheim
nextiteration
rnv
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May 1, 2020 - Python
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Describe the feature
I think enforcing typing in methods parameters can be helpful for robustness, readability and stability of the code.
By using
mypystatic type checker, we can see potential improvements forjina:Usage:
Do not get overwhelmed by the errors. Let's slowly keep improving until we can eve