ijazulhaq1

textKGCN

A text classification model based on textGCN and the WikiData knowledge graph

Belief-Revision-Score

Belief Revision based Caption Re-ranker with Visual Semantic Information. COLING 2022

chat-intents

Clustering sentence embeddings to extract message intent

ClusteringResearch

ColBERT-Using-BERT-Sentence-Embedding-for-Humor-Detection

Novel model and dataset for the task of humor detection

dviz-course

Data visualization course material

Feature-Agglomeration-Clustering

Reads CSV text files and uses a Tfidf vectoriser to semantically cluster like sentences, then uses a hierarchical clustering algorithm to assign the words to n clusters

Google-slides

🐍 Python samples for Google Workspace APIs

GPT-important

SGPT: GPT Sentence Embeddings for Semantic Search

ijazulhaq1

Config files for my GitHub profile.

LaTeX-template-for-UPC-thesis-

LaTeX UPC Phd Template. Oxford/Cambridge based LaTeX Phd template with ACL/CVPR conf template inspired modification.

novelty-detetction

Showing outliers and novelty detection in a datasets, from Scikit-learn

PaperNovelty

novelty one abstract to others of research papers

Python-Natural-Language-Processing-Cookbook

Python Natural Language Processing Cookbook, published by Packt

rdv-cnn

RDV-CNN model for document level novelty detection. Comparision of our model with baselines on three popular datasets.

Review-DL-for-Sentence-Semantic-Similarity

Review: Deep Learning for Sentence Semantic Similarity

Semantic-Relatedness-Based-Reranker-for-Text-Spotting

Semantic Relatedness Based Re-ranker for Text Spotting. EMNLP 2019

semantic-similarity

Comparison of methods based on pre-trained Word2Vec, GloVe and FastText vectors to measure the semantic similarity between sentence pairs

Semantic-Similarity-of-Sentences

Methods used: Cosine Similarity with Glove, Smooth Inverse Frequency, Word Movers Difference, Sentence Embedding Models (Infersent and Google Sentence Encoder), ESIM with pre-trained FastText embedding. Best performing method on Quora Question pair dataset was an Ensemble method with 0.27 log-loss.

Sentence-Similarity-Evalaution

Exploring the simple sentence similarity measurements using word embeddings

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

sentence_similarity

Measuring pairwise sentence similarities using embeddings and clustering

Text-Summarization

Using simple nltk methods, this model uses stanford's glove.6B.100d word embeddings file and cosine similarity to summarize text from multiple sources on the same topic.

text_clustering

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

Textual-Visual-Semantic-Dataset-for-Text-Spotting

Textual Visual Semantic Dataset for Text Spotting. CVPRW 2020

Topic-modeling-for-Arabic-Tweets-

Code for post blog

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Various-unsupervised-NLP-techniques-with-DistilBERT-sentence-embeddings

Usage of BERT models for text clustering techniques using sentence embeddings

Visual-Semantic-Relatedness-with-Word-Embedding

Visual Re-ranking with Natural Language Understanding for Text Spotting. ACCV18