tect comparision
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Updated
Oct 29, 2022 - Python
tect comparision
This work is for my thesis. This paper is published on I-IKM-2019
A little python code to show how to get similarity between word embeddings returned from the Rosette API's new /text-embedding endpoint.
Code and models used in my Bachelor’s Degree Thesis about large text similarity measures are here. The similarities have been combined with machine learning based embeddings. This repository also contains raw results obtained from tasks/experiments.
Embedding a text to a vector by pre-trained BERT word embeddings and pooling layers, for the pur[ose of text similarity measuring
Two-part information retrieval system: 1) Pre-process text files, generate TF-IDF matrix and inverted index. 2) Retrieve relevant documents ranked by cosine similarity for given queries.
End to End NLP text similarity project, using kaggle Quora Dataset , served as a REST API via Flask
Meet people just like you
Django web application for calculating text similarity using naive algorithms.
Plagiarism Detection System, designed to identify similarities between a given text and existing online content.
BERT for few_shot_learning, provided siamese net, match net, prototypical net
Sentence similarity between sentences or paragraphs: flask API + streamlit app.
Matching The Statements: A Simple and Accurate Model for Key Point Analysis (ArgMining | EMNLP 2021)
Download guarani-dominant tweets
Manage school resources and navigate past papers with ease.
Algorithm to rank text similarity between set of strings and given inputs
Python library for correcting registry and spelling errors in user input when comparing with a database of texts.
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