SWE Toolkit. Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints. A general framework to incorporate semantic knowledge into the popular data-driven learning process of word vectors. Applications including word similarity, sentence completion, etc. ACL-2015, Beijing, China
☆53Sep 16, 2015Updated 10 years ago
Alternatives and similar repositories for SWE
Users that are interested in SWE are comparing it to the libraries listed below
Sorting:
- Word Embedding Revisted: Explicit Matrix Factorization☆33Sep 12, 2017Updated 8 years ago
- ☆34Jul 24, 2017Updated 8 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆39Aug 26, 2015Updated 10 years ago
- Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors☆57Oct 1, 2017Updated 8 years ago
- Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations (ACL2015)☆28Aug 28, 2015Updated 10 years ago
- SNBC: Structural Neighborhood Based Classification of Nodes in a Network☆16Apr 15, 2016Updated 9 years ago
- Retrofitting Word Vectors to Semantic Lexicons☆375Apr 9, 2019Updated 6 years ago
- Spectral Word Embedding Learning for Language (SWELL) toolkit☆27Jul 24, 2014Updated 11 years ago
- Word vectors☆64May 26, 2018Updated 7 years ago
- ☆30Jul 25, 2018Updated 7 years ago
- A toolkit for generating paraphrase vector representations for words in context☆23May 19, 2015Updated 10 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Jan 19, 2017Updated 9 years ago
- Learning word representation jointly using a corpus and a knowledge base (KB)☆19Oct 19, 2018Updated 7 years ago
- Non-distributional linguistic word vector representations.☆62Sep 15, 2017Updated 8 years ago
- Deep Learning with Multiple Objectives: 2021 edition☆10May 27, 2021Updated 4 years ago
- ☆87Nov 20, 2016Updated 9 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Aug 23, 2021Updated 4 years ago
- code for IJCAI2015 paper "Network Representation Learning with Rich Text Information"☆132Apr 28, 2017Updated 8 years ago
- ☆12Jun 12, 2017Updated 8 years ago
- PyTorch implmentation of LocoGAN: https://arxiv.org/abs/2002.07897☆11Feb 8, 2021Updated 5 years ago
- Spectral LDA☆13Jun 22, 2018Updated 7 years ago
- For training very deep networks☆10Jun 12, 2017Updated 8 years ago
- Implementing FastSent in theano☆12May 2, 2016Updated 9 years ago
- Intrinsic evaluation of word vectors☆76Jan 23, 2018Updated 8 years ago
- Learning word embeddings with AdaGrad and Noise Contrastive Estimation, C++ 11.☆13Sep 22, 2014Updated 11 years ago
- Neural-based Noise Filtering from Word Embeddings☆11Apr 29, 2017Updated 8 years ago
- ☆11Apr 30, 2016Updated 9 years ago
- Gibbs sampling inference to LDA☆19Apr 4, 2014Updated 11 years ago
- ☆14Jul 9, 2018Updated 7 years ago
- Tweets annotated with coarse-grained sense labels (supersenses)☆13Jun 13, 2014Updated 11 years ago
- ☆63Nov 7, 2017Updated 8 years ago
- Code for the Kaggle competition "Bag of Words Meets Bags of Popcorn"☆50Jul 1, 2015Updated 10 years ago
- Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks☆18Mar 22, 2018Updated 7 years ago
- Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty☆14Feb 10, 2018Updated 8 years ago
- Hierarchical Encoder Decoder for Dialog Modelling☆16May 20, 2015Updated 10 years ago
- implementation of "Open Domain Question Answering System Based on Knowledge Base"☆13Mar 29, 2017Updated 8 years ago
- Implementation of "STWalk: Learning Trajectory Representations in Temporal Graphs"☆17Nov 15, 2017Updated 8 years ago
- This repository contains the resources used for presentation/discussion in weekly iRE Lab meetings.☆14Sep 8, 2017Updated 8 years ago
- Implementation of Deep Dirichlet Multinomial Regression in python + cython.☆16Mar 7, 2018Updated 7 years ago