todd-cook / ML-You-Can-UseLinks
Practical ML and NLP with examples.
☆35Updated 2 years ago
Alternatives and similar repositories for ML-You-Can-Use
Users that are interested in ML-You-Can-Use are comparing it to the libraries listed below
Sorting:
- Brown clustering in Python☆22Updated 7 years ago
- Use BERT to Fill in the Blanks☆83Updated 3 years ago
- General-Purpose Neural Networks for Sentence Boundary Detection☆73Updated 2 years ago
- Formate converter from one type of qa task datasets to another type☆39Updated 6 years ago
- Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuni…☆78Updated 3 years ago
- ☆48Updated 6 years ago
- This repo contains code and dataset for the Opinosis Summarization Framework☆51Updated 5 years ago
- Let's put all materials into this repository☆49Updated 5 years ago
- Many Natural Language Processing tasks rely on sentence boundary detection (SBD). Although amazing libraries like spacy provide state of …☆61Updated 4 years ago
- One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.☆123Updated 6 years ago
- Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging☆34Updated 5 years ago
- 🔮Deep Learning for text made easy with AllenNLP☆32Updated 6 years ago
- Preprocessing Library for Natural Language Processing☆164Updated 2 years ago
- ACL 2019: Zero-shot Word Sense Disambiguation using Sense Definition Embedding☆75Updated 11 months ago
- A command line tool for training deep network models for short text classification☆20Updated 6 years ago
- State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.☆134Updated 5 years ago
- A embed able annotation tool for end to end cross document co-reference☆42Updated 2 years ago
- Visualize BERT's self-attention layers on text classification tasks☆47Updated 6 years ago
- Exploring Neural Text Simplification☆73Updated 7 years ago
- 📄Neural Sentential Paraphrase Generation to Augment Chatbot Training Dataset☆21Updated 2 years ago
- shabeelkandi / Handling-Out-of-Vocabulary-Words-in-Natural-Language-Processing-using-Language-Modelling☆69Updated 5 years ago
- ULMFiT + Siamese Network for Sentence Vectors☆33Updated 6 years ago
- Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation☆63Updated 6 years ago
- Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in …☆128Updated 6 years ago
- Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.☆68Updated 2 years ago
- Code and data for segmentation experiments.☆20Updated 10 years ago
- A simple neural truecaser written in pytorch and allennlp.☆33Updated last year
- A multilingual, multi-style and multi-granularity dataset for cross-language textual similarity detection☆61Updated 8 years ago
- Zero-shot Transfer Learning from English to Arabic☆30Updated 3 years ago
- Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings☆95Updated 2 years ago