tticoin / AntonymDetectionLinks
Implementation of Word Embedding-based Antonym Detection using Thesauri and Distributional Information in NAACL2015
☆35Updated 3 years ago
Alternatives and similar repositories for AntonymDetection
Users that are interested in AntonymDetection are comparing it to the libraries listed below
Sorting:
- Molding CNNs for text (http://arxiv.org/abs/1508.04112)☆85Updated 9 years ago
- ☆46Updated 7 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- NLP tools on Lasagne☆61Updated 7 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆83Updated 8 years ago
- Recurrent Memory Network - Torch implementation☆35Updated 9 years ago
- Non-distributional linguistic word vector representations.☆62Updated 8 years ago
- Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"☆33Updated 10 years ago
- Semantic Textual Similarity in Python☆80Updated 8 years ago
- ☆35Updated 8 years ago
- GloVe Word Embedding model's implementation in theano☆36Updated 8 years ago
- this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"☆65Updated 8 years ago
- Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations (ACL2015)☆28Updated 10 years ago
- Python implementation of Socher et al, EMNLP2013☆36Updated 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
- TensorFlow implementation of convolutional neural network for sentence classification tasks☆81Updated 8 years ago
- ☆125Updated 8 years ago
- Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)☆59Updated 9 years ago
- Environment that can be used to evaluate reasoning capabilities of artificial agents☆28Updated 8 years ago
- Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".☆124Updated 9 years ago
- Moro files for the ACL 2015 Tutorial on Matrix and Tensor Factorization Methods for Natural Language Processing☆20Updated 10 years ago
- Document context language models☆22Updated 9 years ago
- str2vec is a toolkit for computing vector-space representations for variable-length phrases using recursive autoencoders (RAE)☆50Updated 9 years ago
- Answer Sentence Selection using Deep Learning☆63Updated 9 years ago
- ☆28Updated 9 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆39Updated 10 years ago
- ☆30Updated 7 years ago
- Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.☆61Updated 8 years ago
- Boilerplate code for quickly getting set up to run language modeling experiments☆35Updated 8 years ago
- Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings☆53Updated 8 years ago