Topic: wordembeddings Goto Github
Some thing interesting about wordembeddings
Some thing interesting about wordembeddings
wordembeddings,The repository contains code to replicate the experiments in the paper "Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs", by Haiyang Zhang, Alison Sneyd and Mark Stevenson, AACL 2020.
User: alisonsneyd
wordembeddings,A Persian Word2Vec Model trained by Wikipedia articles
User: aminmozhgani
wordembeddings,Training and exploring Word2Vec and FastText on Harry Potter books corpus
User: ammarrashed
wordembeddings,Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling
User: andras7
wordembeddings,Implementation of various Machine Learning and Deep Learning models for Sentiment Analysis on the 'Sentiment Labelled Sentences Data Set' by University of California, Irvine.
User: atharvajk98
wordembeddings,We have implemented, expanded and reviewed the paper “Sense2Vec - A Fast and Accurate Method For Word Sense Disambiguation In Neural Word Embeddings" by Andrew Trask, Phil Michalak and John Liu.
User: avivyaish
wordembeddings,Code and data related to "Efficient, Compositional, Order-Sensitive n-gram Embeddings" (EACL 2017)
User: azpoliak
Home Page: http://www.cs.jhu.edu/~apoliak1/papers/ECO--EACL-2017.pdf
wordembeddings,Diachronic Word Embedding Model based on Word2vec Skip-gram with Chebyshev approximation
User: bab2min
wordembeddings,Icelandic Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .model file are available for download.
User: blackkakapo
wordembeddings,Scripts for Cognitive Science Masters Thesis - Investigating Implicit Gender Bias and Stereotypes in Job Descriptions Using Word Embeddings – an Australian Context
User: carolinecasey17
wordembeddings,Dutch word embeddings, trained on a large collection of Dutch social media messages and news/blog/forum posts.
Organization: coosto
wordembeddings,TwitPersonality: Computing Personality Traits from Tweets using Word Embeddings and Supervised Learning
Organization: d2klab
wordembeddings,flairR: Bring Amazing Flair NLP to R
User: davidycliao
Home Page: https://davidycliao.github.io/flaiR
wordembeddings,RiverText is a framework that standardizes the Incremental Word Embeddings proposed in the state-of-art. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!
Organization: dccuchile
Home Page: https://dccuchile.github.io/rivertext/
wordembeddings,Evaluation of polish word embeddings prepared by various research groups. Evaluation is done by words analogy task
Organization: ermlab
wordembeddings,Code and specs for CS-Embed's entry for SemEval-2020 Task-9. We present code-switched embeddings, code for code-switched bilstm sentiment classifier, and code for CS tweet collection.
User: francesita
wordembeddings,This project aims to implement the Scaled-Dot-Product Attention layer and the Multi-Head Attention layer using various Positional Encoding methods.
User: gazelle93
wordembeddings,This project aims to implement the charCNN word embedding method that is leveraged in ELMo and characterBERT.
User: gazelle93
wordembeddings,This project aims to implement the Transformer Encoder blocks using various Positional Encoding methods.
User: gazelle93
wordembeddings,Source code for the project of my Master Thesis
User: giulioc
wordembeddings,Web服务:使用腾讯 800 万词向量模型和 spotify annoy 引擎得到相似关键词
User: huichen
wordembeddings,Word Embedding visualization with T-SNE (t-distributed stochastic neighbor embedding) for BERT, ALBERT, ELMO, ELECTRA, XLNET, GLOVE.
User: janmejaybhoi
wordembeddings,Opinion Extraction based on Amazon Reviews
User: jinwangjoshua
Home Page: https://www.amazon.com/
wordembeddings,Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"
User: joyebright
wordembeddings,Review classification and recommendation system based on random forest and data analysis of amazon food review dataset
User: jpnevrones
wordembeddings,Skip-Gram Model From Scratch
User: kheem-dh
wordembeddings,:book: :books: :newspaper: Workshop that demonstrates using and analyzing text in R.
User: m-clark
Home Page: https://m-clark.github.io/text-analysis-with-R/
wordembeddings,Storage and retrieval of Word Embeddings in various databases
User: martialblog
wordembeddings, Implementing Facebook's FastText with java
Organization: mayabot
wordembeddings,PyTorch implementation of the Word2Vec (Skip-Gram Model) and visualizing the trained embeddings using TSNE
User: n0obcoder
wordembeddings,Aspect-Based Sentiment Analysis
User: nomiluks
wordembeddings,Extending conceptual thinking with semantic embeddings.
User: paulbricman
Home Page: https://paulbricman.com/thoughtware/semantica
wordembeddings,Improving Word Embeddings by combining word embeddings with their POS (Part Of Speech) tag.
User: prashantranjan09
wordembeddings,Using pre trained word embeddings (Fasttext, Word2Vec)
User: prashantranjan09
wordembeddings,Twitter Text Sentiment Analysis (Preprocessing using Spacy)
User: rehanraza24
wordembeddings,Visualize word2vec in javascript
Organization: study-ml
wordembeddings,Cross-Lingual Alignment of Contextual Word Embeddings
User: talschuster
wordembeddings,
User: tamjidrahat
wordembeddings,Dict2vec is a framework to learn word embeddings using lexical dictionaries.
User: tca19
wordembeddings,This repository contains source code to binarize any real-value word embeddings into binary vectors.
User: tca19
wordembeddings,My PhD thesis with all its source files, including all .tex files and images created, as well as the slides of my defense.
User: tca19
wordembeddings,https://tchanda90.github.io/covid19-textmining/
User: tchanda90
wordembeddings,We use reinforcement learning to study how language can be used as a tool for agents to accomplish tasks in their environment, and show that structure in the evolved language emerges naturally through iterated learning, leading to the development of compositional language for describing and generalising about unseen objects.
User: tgdivy
Home Page: https://wandb.ai/tgdivy/language_evolution/runs/dltqxste?workspace=user-tgdivy
wordembeddings,Temporal analysis of legal texts via topic modelling and temporal word embeddings
User: tomfran
wordembeddings,Code for multi sense embeddings
User: wenjunoy
wordembeddings,A package for embeddings processing
User: zgornel
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