TalSchuster/CrossLingualContextualEmb

Cross-Lingual Alignment of Contextual Word Embeddings

Language: Python - Size: 44.9 KB - Last synced at: 15 days ago - Pushed at: over 5 years ago - Stars: 99 - Forks: 9

danlou/LMMS

Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

Language: Python - Size: 1.06 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 89 - Forks: 20

lunayach/visNER

In the wild extraction of entities that are found using Flair and displayed using a very elegant front-end.

Language: HTML - Size: 1.54 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 71 - Forks: 7

KRR-Oxford/BERTMap

BERTMap: A BERT-Based Ontology Alignment System

Language: Python - Size: 44.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 56 - Forks: 6

hyintell/topicx

Model zoo for topic models, neural topic models, contextual embeddings for topic models ...

Language: Python - Size: 63.5 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 3

seriousran/BERT-embedding

A simple wrapper class for extracting features(embedding) and comparing them using BERT in TensorFlow

Language: Python - Size: 45.9 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 23 - Forks: 2

JasonYao81000/ADL2019

Applied Deep Learning (2019 Spring) @ NTU

Language: Jupyter Notebook - Size: 1.95 GB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 23 - Forks: 6

iris2hu/diachronic-sense-modeling

Language: Python - Size: 6.61 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 16 - Forks: 2

anebz/eu-sim

Exploring semantic similarities between contextualized embeddings

Language: HTML - Size: 3.83 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 1

honghanhh/ner-combining-contextual-and-global-features

[ICADL] Named entity recognition architecture combining contextual and global features

Language: Jupyter Notebook - Size: 9.24 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 3

twitter-research/lmsoc

Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 0

sunipa/On-Measuring-and-Mitigating-Biased-Inferences-of-Word-Embeddings

Debiasing both contextual and context free embeddings and developing a downstream metric for bias measurement

Language: Python - Size: 104 KB - Last synced at: 6 months ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 1

adithya8/ContextualEmbeddingDR

Empirical Comparison of Dimensionality Reduction Techniques for Contextual Embeddings over Low Sample Human-Level Tasks

Language: Jupyter Notebook - Size: 63 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1

ksipos/polysemy-assessment

Code and data for the paper 'Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings'

Language: Shell - Size: 273 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

dr-irani/Quantifying-Bias-Contextualized-Embeddings

Semester project for Machine Learning: Deep Learning, Spring 2020

Language: Jupyter Notebook - Size: 3.55 MB - Last synced at: 7 months ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

DrCBeatz/vajrayana-chat

Vajrayana AI Chat Web App (Python/Django/HTMX/OpenAI API). Create and converse with your own AI experts on Vajrayana Buddhism based on teachings from prominent Tibetan Tulkus and teachers.

Language: Python - Size: 74 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 2

SiavashShams/Contextual-Embeddings-Using-HateBert-and-RNNs

We aim to clasify tweets based on three categories 0: hate, 1: offensive, 2: neutral. For this purpose we use HateBert pretrained model with RNNs as the trainable layers

Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

heydarimo/Contextual-Embedding-Using-RNNs

Contextual embeddings assign each word a representation based on its context, thereby capturing uses of words across varied contexts and encoding knowledge that transfers across languages. in this repository we tend to implement this concept using Recurrent Neural Networks.

Language: Jupyter Notebook - Size: 4.71 MB - Last synced at: 8 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

yunwoong7/text-embedding-toolkit

A powerful toolkit for text chunking and semantic search using OpenSearch. This toolkit provides various text chunking strategies and embedding capabilities for efficient document retrieval.

Language: Python - Size: 1.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

kyopark2014/contextual-embedding

It shows an analytic agent based on advanced RAG.

Language: Python - Size: 903 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

tuananhfrtk/Combining-Contextual-words-and-KG-embeddings

Contextual embeddings are able to encode word meaning and polysemy to some degree. However, richer semantic information requires using representations other than texts, like knowledge graphs (KG). The goal of this project is to design a model to combining contextual and KG embeddings.

Language: OpenEdge ABL - Size: 4.13 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0