ehsansherkat / ConVecLinks
In this project, we use skip-gram model to embed Wikipedia Concepts and Entities. The English version of Wikipedia contains more than five million pages, which suggest its capability to cover many English Entities, Phrases, and Concepts. Each Wikipedia page is considered as a concept.
☆57Updated 7 years ago
Alternatives and similar repositories for ConVec
Users that are interested in ConVec are comparing it to the libraries listed below
Sorting:
- Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings☆53Updated 8 years ago
- Non-distributional linguistic word vector representations.☆62Updated 7 years ago
- Semantic Textual Similarity in Python☆81Updated 8 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".☆124Updated 9 years ago
- GloVe Word Embedding model's implementation in theano☆36Updated 8 years ago
- Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)☆59Updated 8 years ago
- Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.☆61Updated 8 years ago
- Document context language models☆22Updated 9 years ago
- Word vectors☆64Updated 7 years ago
- TensorFlow implementation of convolutional neural network for sentence classification tasks☆81Updated 8 years ago
- Deep neural network based model for sequence to sequence classification☆76Updated 7 years ago
- ☆46Updated 7 years ago
- Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors☆55Updated 7 years ago
- Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the …☆19Updated 2 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
- Question Answering via Integer Programming (TableILP)☆28Updated 9 years ago
- Boilerplate code for quickly getting set up to run language modeling experiments☆35Updated 8 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
- utility class for building/evaluating document representations☆53Updated 5 years ago
- BiLSTM-CRF for sequence labeling in Dynet☆81Updated 8 years ago
- ☆26Updated 7 years ago
- Question Answering Using Memory Networks (CS224D Project)☆47Updated 10 years ago
- Implementation of Word Embedding-based Antonym Detection using Thesauri and Distributional Information in NAACL2015☆35Updated 3 years ago
- Molding CNNs for text (http://arxiv.org/abs/1508.04112)☆85Updated 9 years ago
- A keras implementation of our CNNs with rationales☆48Updated 6 years ago
- ☆30Updated 7 years ago
- Very Deep Pairwise Word Interaction Neural Networks for modeling textual similarity (He and Lin, NAACL/HLT 2016)☆18Updated 7 years ago
- ☆44Updated 7 years ago
- str2vec is a toolkit for computing vector-space representations for variable-length phrases using recursive autoencoders (RAE)☆50Updated 9 years ago