A curated list of pretrained sentence and word embedding models

AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Code for the paper "Contextualized Weak Supervision for Text Classification"

Arabic NER system with a strong performance

Code for "Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!", EMNLP 2020

Official implementation of DenoMamba: A fused state-space model for low-dose CT denoising

Code for "Contextualized Embeddings in Named-Entity Recognition", ECIR 2020

The official repo for the EACL 2023 paper "Quantifying Context Mixing in Transformers"

😷 The Fill-Mask Association Test (FMAT): Measuring Propositions in Natural Language.

Implementation of GAP: Graph Neighborhood Attentive Pooling, https://arxiv.org/abs/2001.10394. A context-sensitve graph (network) representation learning algorithm that relies only on the structure of the graph.

Jointly Learning knowledge graph Embedding, Fine Grain Entity Types and Language Modeling.

FuseMap: Integrate spatial transcripomics with universal gene, cell, and tissue embeddings.

This project explores both Transfer Learning and Feature Extraction for obtaining contextual word embeddings using BERT-family model to solve a problem related to the Fake News Detection task, i.e. Stance Detection.