kavgan / phrase-at-scaleLinks
Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in languages other than English
☆129Updated 6 years ago
Alternatives and similar repositories for phrase-at-scale
Users that are interested in phrase-at-scale are comparing it to the libraries listed below
Sorting:
- Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html☆140Updated 3 years ago
- Generating labels for topics automatically using neural embeddings☆185Updated last month
- Python Framework for Extractive Text Summarization☆113Updated 3 years ago
- Clinical spelling correction with word and character n-gram embeddings.☆74Updated 3 years ago
- Named Entity Recognition based on dictionaries☆242Updated 6 years ago
- The implementation of text classification using character level convoultion neural networks using Keras☆150Updated 2 years ago
- Dict2vec is a framework to learn word embeddings using lexical dictionaries.☆115Updated 4 years ago
- One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques☆210Updated 2 years ago
- Word Embeddings for Information Retrieval☆225Updated 2 years ago
- Transfer Learning for NLP Tasks☆55Updated 6 years ago
- Easily generate document/paragraph/sentence vectors and calculate similarity.☆137Updated 4 years ago
- An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines☆110Updated 7 years ago
- A previous version of Snorkel focused on information extraction☆35Updated 6 years ago
- PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment☆107Updated 7 years ago
- Character-based word embeddings model based on RNN for handling real world texts☆174Updated 2 years ago
- A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.☆82Updated 7 years ago
- Python library for Natural Language Preprocessing (NLPre)☆191Updated 2 years ago
- A way to do annotations for NER. TALEN: Tool for Annotation of Low-resource ENtities☆118Updated 2 months ago
- This repository contains various ways to calculate sentence vector similarity using NLP models☆197Updated 5 years ago
- ☆50Updated 4 years ago
- A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)☆154Updated 5 years ago
- This is an implementation of Hearst patterns, for finding hyponyms, written in Python.☆87Updated 3 years ago
- Tensorflow 1.5 implementation of Chris Moody's Lda2vec, adapted from @meereeum☆109Updated 6 years ago
- Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)☆156Updated 6 years ago
- "Convolutional Neural Networks for Sentence Classification" (Kim 2014) - https://www.aclweb.org/anthology/D14-1181☆53Updated 5 years ago
- Fast, DB Backed pretrained word embeddings for natural language processing.☆223Updated 6 months ago
- PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents☆95Updated 2 years ago
- Keyword extraction using TextRank algorithm after pre-processing the text with lemmatization, filtering unwanted parts-of-speech and othe…☆114Updated 5 years ago
- An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the t…☆221Updated last year
- ☆123Updated 2 years ago