alvations / stasis
Semantic Textual Similarity in Python
☆79Updated 8 years ago
Alternatives and similar repositories for stasis:
Users that are interested in stasis are comparing it to the libraries listed below
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)☆59Updated 8 years ago
- ☆125Updated 8 years ago
- Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings☆52Updated 8 years ago
- Molding CNNs for text (http://arxiv.org/abs/1508.04112)☆85Updated 8 years ago
- Non-distributional linguistic word vector representations.☆62Updated 7 years ago
- Demonstration code for Liang and Potts 2015☆79Updated 8 years ago
- ☆28Updated 8 years ago
- Code for paper "End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights"☆65Updated 6 years ago
- Text simplification using RNNs☆55Updated 8 years ago
- Word vectors☆64Updated 6 years ago
- Intrinsic evaluation of word vectors☆75Updated 7 years ago
- ☆46Updated 7 years ago
- Huffman tree based hierarchical softmax☆51Updated 8 years ago
- Reading Comprehension Experiments repository.☆61Updated 7 years ago
- Code for the blog post "Making Sense of Word2vec"☆113Updated 10 years ago
- An attentional NMT model in Dynet☆26Updated 6 years ago
- Multilingual hierarchical attention networks toolkit☆77Updated 5 years ago
- Environment that can be used to evaluate reasoning capabilities of artificial agents☆27Updated 8 years ago
- ☆30Updated 6 years ago
- Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)☆106Updated 6 years ago
- BiCVM Code☆45Updated 6 years ago
- Decomposable Attention Model for Sentence Pair Classification (from https://arxiv.org/abs/1606.01933)☆95Updated 8 years ago
- SUMPY: a python automatic text summarization library☆55Updated 8 years ago
- Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".☆124Updated 8 years ago
- My solution for the Kaggle "Allen AI science challenge"☆48Updated 9 years ago
- Implementation of Word Embedding-based Antonym Detection using Thesauri and Distributional Information in NAACL2015☆35Updated 3 years ago
- ☆45Updated 7 years ago
- Train a CRF for syntactic chunking (CoNLL2000), and use word representations☆43Updated 15 years ago
- A convolutional neural network library for NLP.☆60Updated 7 years ago