oaqa / LiveQALinks
CMU-OAQA LiveQA system
☆18Updated 9 years ago
Alternatives and similar repositories for LiveQA
Users that are interested in LiveQA are comparing it to the libraries listed below
Sorting:
- Implementation of phrase2vec from modified word2vec code.☆94Updated 9 years ago
- Open Question Answering☆159Updated 8 years ago
- Demonstration code for Liang and Potts 2015☆79Updated 9 years ago
- Non-distributional linguistic word vector representations.☆62Updated 8 years ago
- Automatically exported from code.google.com/p/jacana☆37Updated 10 years ago
- End-to-end relation extraction and knowledge base population pipeline.☆49Updated 8 years ago
- Molding CNNs for text (http://arxiv.org/abs/1508.04112)☆85Updated 9 years ago
- Java Neural Network Library☆94Updated 9 years ago
- ☆20Updated 7 years ago
- SUMPY: a python automatic text summarization library☆55Updated 9 years ago
- NLP tools on Lasagne☆61Updated 8 years ago
- Document context language models☆22Updated 10 years ago
- Modify word2vec such that it's possible to "condition" on existing embeddings for some words, and induce embeddings for new words.☆40Updated 9 years ago
- Demo server for TREC LiveQA competition☆11Updated 8 years ago
- Semantic Textual Similarity in Python☆80Updated 8 years ago
- ☆88Updated 9 years ago
- Answer Sentence Selection using Deep Learning☆63Updated 9 years ago
- Online Interpretable Word Embeddings☆37Updated 10 years ago
- Question Answering Using Memory Networks (CS224D Project)☆47Updated 10 years ago
- Standalone Semanticizer☆32Updated 10 years ago
- Train a CRF for syntactic chunking (CoNLL2000), and use word representations☆43Updated 15 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.☆61Updated 8 years ago
- Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".☆124Updated 9 years ago
- This is an implementation of the Attention Sum Reader model as presented in "Text Comprehension with the Attention Sum Reader Network" av…☆98Updated 9 years ago
- Labeling and Evaluation Tool for NLP Tasks☆54Updated 10 years ago
- ☆46Updated 7 years ago
- Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.☆178Updated 15 years ago
- ☆35Updated 8 years ago
- Natural Language Inference Dataset Generation☆29Updated 9 years ago