higgood / incremental-word2vecLinks
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
Alternatives and similar repositories for incremental-word2vec
Users that are interested in incremental-word2vec are comparing it to the libraries listed below
Sorting:
- Molding CNNs for text (http://arxiv.org/abs/1508.04112)☆85Updated 9 years ago
- NLP tools on Lasagne☆61Updated 8 years ago
- Online Interpretable Word Embeddings☆37Updated 10 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 9 years ago
- Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)☆105Updated 7 years ago
- ☆46Updated 8 years ago
- GloVe Word Embedding model's implementation in theano☆36Updated 8 years ago
- Word vectors☆64Updated 7 years ago
- BiLSTM-CRF for sequence labeling in Dynet☆81Updated 8 years ago
- ☆35Updated 8 years ago
- Question Answering Using Memory Networks (CS224D Project)☆47Updated 10 years ago
- Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations (ACL2015)☆28Updated 10 years ago
- Document context language models☆22Updated 10 years ago
- Train a CRF for syntactic chunking (CoNLL2000), and use word representations☆43Updated 15 years ago
- Decomposable Attention Model for Sentence Pair Classification (from https://arxiv.org/abs/1606.01933)☆95Updated 8 years ago
- ☆40Updated 5 years ago
- ☆20Updated 7 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
- An implementation of Mikolov's word2vec in Python using Theano and Lasagne.☆37Updated 8 years ago
- ☆30Updated 7 years ago
- paragraph vector trained by negative sampling☆37Updated 8 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
- ☆125Updated 8 years ago
- Deep Character-Level Neural Machine Translation☆71Updated 8 years ago
- Very Deep Pairwise Word Interaction Neural Networks for modeling textual similarity (He and Lin, NAACL/HLT 2016)☆18Updated 7 years ago
- ☆28Updated 9 years ago
- Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.☆61Updated 8 years ago
- Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong …☆193Updated 9 years ago