mfaruqui / non-distributionalLinks
Non-distributional linguistic word vector representations.
☆62Updated 7 years ago
Alternatives and similar repositories for non-distributional
Users that are interested in non-distributional are comparing it to the libraries listed below
Sorting:
- Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings☆53Updated 8 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- Semantic Textual Similarity in Python☆81Updated 8 years ago
- Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.☆61Updated 8 years ago
- Word vectors☆64Updated 7 years ago
- Text simplification using RNNs☆55Updated 9 years ago
- GloVe Word Embedding model's implementation in theano☆36Updated 8 years ago
- Document context language models☆22Updated 9 years ago
- ☆46Updated 7 years ago
- SUMPY: a python automatic text summarization library☆55Updated 9 years ago
- ☆44Updated 7 years ago
- OxLM: Oxford Neural Language Modelling Toolkit☆38Updated 9 years ago
- Molding CNNs for text (http://arxiv.org/abs/1508.04112)☆85Updated 9 years ago
- Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors☆55Updated 7 years ago
- Moro files for the ACL 2015 Tutorial on Matrix and Tensor Factorization Methods for Natural Language Processing☆20Updated 10 years ago
- framework for doing NER and other types of entity recognition, in Python☆68Updated 3 years ago
- ☆124Updated 8 years ago
- Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)☆59Updated 8 years ago
- In this project, we use skip-gram model to embed Wikipedia Concepts and Entities. The English version of Wikipedia contains more than fiv…☆57Updated 7 years ago
- Natural Language Inference Dataset Generation☆29Updated 9 years ago
- Code for the blog post "Making Sense of Word2vec"☆113Updated 10 years ago
- ☆30Updated 7 years ago
- A Python framework for exploring distributional semantic models.☆85Updated 9 years ago
- Graph-based Dependency Parser☆46Updated 9 years ago
- Implementation of Word Embedding-based Antonym Detection using Thesauri and Distributional Information in NAACL2015☆35Updated 3 years ago
- Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".☆124Updated 9 years ago
- Modify word2vec such that it's possible to "condition" on existing embeddings for some words, and induce embeddings for new words.☆39Updated 9 years ago
- High-order Semi-Markov Conditional Random Field☆33Updated 6 years ago
- Context Encoders (ConEc) as a simple but powerful extension of the word2vec model for learning word embeddings☆20Updated 5 years ago
- Spectral Word Embedding Learning for Language (SWELL) toolkit☆27Updated 11 years ago