jwieting / paragram-word
Python code for training Paragram word embeddings. These achieve human-level performance on some word similiarty tasks including SimLex-999.This code was used to obtain results in the appendix of our 2015 TACL paper "From Paraphrase Database to Compositional Paraphrase Model and Back".
☆30Updated 9 years ago
Alternatives and similar repositories for paragram-word:
Users that are interested in paragram-word are comparing it to the libraries listed below
- A collection of documents and materials for the EMNLP-2015 Semantic Similarity tutorial☆30Updated 9 years ago
- GloVe Word Embedding model's implementation in theano☆36Updated 7 years ago
- Document context language models☆22Updated 9 years ago
- Converts Quora's new NLU dataset to SNLI txt/jsonl format, plus test/dev split, tokenization.☆14Updated 8 years ago
- Dynamic Topic Model (based upon code released by David Blei at http://www.cs.princeton.edu/~blei/topicmodeling.html)☆31Updated 7 years ago
- Slides/code for the Lisbon machine learning school 2017☆28Updated 7 years ago
- Accompanying code for our EMNLP 2017 publication "GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Ex…☆28Updated last year
- ☆18Updated 8 years ago
- Environment that can be used to evaluate reasoning capabilities of artificial agents☆27Updated 7 years ago
- Topic analysis using RSM or PVDM.☆11Updated 10 years ago
- ☆26Updated 7 years ago
- Torch implementation of the Collobert's SENNA system for NER.☆13Updated 8 years ago
- Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings☆52Updated 8 years ago
- TREC Real-Time Summarization Tools☆15Updated 7 years ago
- various simple RNNs trained on synthetic grammars☆30Updated 9 years ago
- Word vectors☆64Updated 6 years ago
- Non-distributional linguistic word vector representations.☆62Updated 7 years ago
- Moro files for the ACL 2015 Tutorial on Matrix and Tensor Factorization Methods for Natural Language Processing☆20Updated 9 years ago
- ☆30Updated 6 years ago
- Induce word representations using random indexing (RI)☆29Updated 14 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- ☆23Updated 9 years ago
- Neural embeddings with negative sampling in Keras☆11Updated 7 years ago
- ☆16Updated 9 years ago
- Deep generative model for sentiment analysis☆34Updated 8 years ago
- An Information Extraction Framework with Deep Learning developed at New York University☆15Updated 8 years ago
- Modify word2vec such that it's possible to "condition" on existing embeddings for some words, and induce embeddings for new words.☆39Updated 8 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Updated 8 years ago
- Scalable inference for Correlated Topic Models☆30Updated 10 years ago
- ☆25Updated 8 years ago