spinningbytes / deep-mlsaLinks
Code for WWW 2017 conference paper "Leveraging large amounts of weakly supervised data for multi-language sentiment classification"
☆36Updated 6 years ago
Alternatives and similar repositories for deep-mlsa
Users that are interested in deep-mlsa are comparing it to the libraries listed below
Sorting:
- ACL 2018 paper: Probabilistic FastText for Multi-Sense Word Embeddings (Athiwaratkun et al., 2018)☆149Updated 7 years ago
- ☆125Updated 8 years ago
- Deep-Learning Model Exploration and Development for NLP☆244Updated 2 years ago
- Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)☆153Updated 6 years ago
- utility class for building/evaluating document representations☆53Updated 5 years ago
- Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation☆63Updated 7 years ago
- code for our paper Baselines and Bigrams: Simple, Good Sentiment and Topic Classification☆135Updated 9 years ago
- A Dependency Parser for Tweets☆78Updated 6 years ago
- ☆182Updated 7 years ago
- Bidirectional Long-Short Term Memory tagger (bi-LSTM) (in DyNet) -- hierarchical (with word and character embeddings)☆123Updated 2 years ago
- PyTorch deep learning models for text processing☆178Updated 6 years ago
- Semantic Textual Similarity in Python☆80Updated 8 years ago
- Converting GloVe vectors into word2vec format for easy usage with Gensim☆112Updated 6 years ago
- Neural Vector Space Models☆49Updated 7 years ago
- AskUbuntu Question Dataset☆68Updated 9 years ago
- Concatenated Power Mean Embeddings as Universal Cross-Lingual Sentence Representations☆187Updated 4 years ago
- Named Entity Disambiguation for Noisy Text☆66Updated 8 years ago
- A repository for Neural Document Ranking Models.☆83Updated 7 years ago
- Keras implementation of CoVe☆50Updated 7 years ago
- ☆214Updated 7 years ago
- Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".☆124Updated 9 years ago
- Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"☆146Updated 2 years ago
- Interpretable Models for NLP using PyTorch☆105Updated 7 years ago
- Getting started with AllenNLP and PyTorch by training a tweet classifier☆66Updated 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
- Easy to use scripts for evaluating word vectors on a variety of tasks.☆119Updated 4 years ago
- A system for generating training labels via natural language explanations☆146Updated 6 years ago
- ☆144Updated 5 years ago
- Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf☆57Updated 7 years ago
- Accompanying notebook for the Entailment with Tensorflow article.☆82Updated 6 years ago