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[1809.08370] Semi-Supervised Sequence Modeling with Cross-View Training
nlp  arxiv  machine-learning  deep-learning  study-group 
4 days ago by jseppanen
GitHub - ziyin-dl/word-embedding-dimensionality-selection: On the Dimensionality of Word Embedding, NIPS 2018
nlp  deep-learning  machine-learning 
9 days ago by jseppanen
[1811.06031] A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks
deep-learning  arxiv  machine-learning  nlp 
27 days ago by jseppanen
GitHub - huggingface/hmtl: HMTL: Hierarchical Multi-Task Learning
deep-learning  nlp  machine-learning  pytorch 
27 days ago by jseppanen
anttttti/Wordbatch: Parallel text feature extraction for machine learning
Parallel text feature extraction for machine learning - anttttti/Wordbatch
nlp  distributed-computing 
5 weeks ago by jseppanen
GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT
TensorFlow code and pre-trained models for BERT
machine-translation  google  machine-learning  nlp  deep-learning  pretrained-model 
5 weeks ago by jseppanen
GitHub - google/sentencepiece: Unsupervised text tokenizer for Neural Network-based text generation.
deep-learning  machine-learning  nlp 
6 weeks ago by jseppanen
[1810.10222] Universal Language Model Fine-Tuning with Subword Tokenization for Polish
fast-ai  nlp  machine-learning  deep-learning 
6 weeks ago by jseppanen
GitHub - artetxem/monoses: Unsupervised Statistical Machine Translation
deep-learning  nlp  machine-translation  machine-learning  unsupervised-learning 
6 weeks ago by jseppanen
💥 Training Neural Nets on Larger Batches: Practical Tips for 1-GPU, Multi-GPU & Distributed setups
pytorch  deep-learning  machine-learning  distributed-computing  nlp 
8 weeks ago by jseppanen
Cython Architecture · spaCy API Documentation
spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
python  python-cython  optimization  nlp 
8 weeks ago by jseppanen
[1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
deep-learning  arxiv  nlp  study-group  machine-learning 
9 weeks ago by jseppanen
GitHub - facebookresearch/UnsupervisedMT: Phrase-Based & Neural Unsupervised Machine Translation
nlp  machine-learning  machine-translation  deep-learning 
11 weeks ago by jseppanen
Towards Natural Language Semantic Code Search | GitHub Engineering
machine-learning  search  nlp  deep-learning 
11 weeks ago by jseppanen
AllenNLP - Tutorials
nlp  tutorial  deep-learning  machine-learning 
12 weeks ago by jseppanen
[1804.07915] A Stable and Effective Learning Strategy for Trainable Greedy Decoding
machine-translation  nlp  deep-learning  machine-learning  search  arxiv 
12 weeks ago by jseppanen
Unsupervised machine translation: A novel approach to provide fast, accurate translations for more languages – Facebook Code
nlp  facebook  unsupervised-learning  deep-learning  machine-translation  machine-learning 
september 2018 by jseppanen
[1808.09663] Wasserstein is all you need
machine-learning  nlp  arxiv  study-group  deep-learning 
august 2018 by jseppanen
rsennrich/subword-nmt: Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
machine-learning  deep-learning  machine-translation  feature-engineering  nlp 
august 2018 by jseppanen
[1808.03867] Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
machine-learning  arxiv  deep-learning  nlp  study-group 
august 2018 by jseppanen
[1807.03819] Universal Transformers
deep-learning  machine-learning  arxiv  google  study-group  deepmind  nlp 
august 2018 by jseppanen
GitHub - openai/finetune-transformer-lm: Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
machine-learning  deep-learning  open-ai  nlp 
august 2018 by jseppanen
Transfer Learning in NLP – Feedly Blog
nlp  machine-learning  tutorial  fast-ai  deep-learning 
august 2018 by jseppanen
Building new NLP solutions with spaCy and Prodigy - Speaker Deck
machine-learning  spacy  nlp  deep-learning 
august 2018 by jseppanen
Transfer Learning in Natural Language Processing | Intel® Software
machine-learning  nlp  fast-ai  deep-learning 
july 2018 by jseppanen
Latest best-practices topics - Prodigy Support
machine-learning  nlp 
july 2018 by jseppanen
CoNaLa: The Code/Natural Language Challenge
nlp  machine-learning  dataset 
june 2018 by jseppanen
GitHub - facebookresearch/translagent: Code for Emergent Translation in Multi-Agent Communication
machine-learning  machine-translation  nlp  pytorch  unsupervised-learning  deep-learning 
june 2018 by jseppanen
GitHub - jiesutd/NCRFpp: NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
deep-learning  nlp  machine-learning  pytorch 
june 2018 by jseppanen
GitHub - huggingface/pytorch-openai-transformer-lm: A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
pytorch  machine-learning  deep-learning  nlp 
june 2018 by jseppanen
Improving Language Understanding with Unsupervised Learning
open-ai  nlp  deep-learning  study-group  machine-learning 
june 2018 by jseppanen
[1805.12096] Marian: Cost-effective High-Quality Neural Machine Translation in C++
deep-learning  arxiv  machine-translation  nlp  machine-learning 
may 2018 by jseppanen
AllenNLP
AllenNLP is an open-source NLP research library, built on PyTorch.
pytorch  nlp 
may 2018 by jseppanen
[1805.04908] On the Practical Computational Power of Finite Precision RNNs for Language Recognition
arxiv  lstm  deep-learning  rnn  nlp  machine-learning 
may 2018 by jseppanen
[1805.01070] What you can cram into a single vector: Probing sentence embeddings for linguistic properties
arxiv  machine-learning  deep-learning  nlp  facebook 
may 2018 by jseppanen
GitHub - XuezheMax/NeuroNLP2: Deep neural models for core NLP tasks (Pytorch version)
nlp  pytorch  machine-learning  deep-learning 
may 2018 by jseppanen
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension | OpenReview
nlp  study-group  machine-learning  deep-learning  convnet 
april 2018 by jseppanen
Spacy Visualiser
deep-learning  machine-learning  spacy  nlp 
april 2018 by jseppanen
[1804.07755] Phrase-Based & Neural Unsupervised Machine Translation
machine-translation  deep-learning  arxiv  nlp  machine-learning  facebook 
april 2018 by jseppanen
The Annotated Transformer
pytorch  deep-learning  machine-translation  attention  machine-learning  nlp 
april 2018 by jseppanen
[1804.00247] Training Tips for the Transformer Model
machine-learning  nlp  arxiv  deep-learning  sequence-to-sequence 
april 2018 by jseppanen
GitHub - artetxem/undreamt: Unsupervised Neural Machine Translation
pytorch  machine-translation  deep-learning  machine-learning  nlp 
march 2018 by jseppanen
Achieving Human Parity on Automatic Chinese to English News Translation
nlp  machine-translation  deep-learning  machine-learning  study-group 
march 2018 by jseppanen
Requests for Research
deep-learning  machine-learning  nlp 
march 2018 by jseppanen
A Comprehensive Introduction to Torchtext (Practical Torchtext part 1) | Machine Learning Explained
pytorch  nlp  machine-learning 
march 2018 by jseppanen
Deep Learning, Structure and Innate Priors | Abigail See
nlp  video  machine-learning  deep-learning 
february 2018 by jseppanen
[1802.06893] Learning Word Vectors for 157 Languages
arxiv  deep-learning  nlp  machine-learning  facebook 
february 2018 by jseppanen
[1802.07089] Attentive Tensor Product Learning for Language Generation and Grammar Parsing
deep-learning  machine-learning  study-group  arxiv  nlp 
february 2018 by jseppanen
[1710.04087] Word Translation Without Parallel Data
study-group  facebook  arxiv  machine-learning  deep-learning  adversarial-learning  nlp 
february 2018 by jseppanen
[1802.05365] Deep contextualized word representations
deep-learning  arxiv  nlp  machine-learning  study-group 
february 2018 by jseppanen
[1704.01444v2] Learning to Generate Reviews and Discovering Sentiment
nlp  study-group  machine-learning  arxiv  open-ai  deep-learning 
january 2018 by jseppanen
GitHub - NVIDIA/sentiment-discovery: Unsupervised Language Modeling at scale for robust sentiment classification
machine-learning  pytorch  deep-learning  nlp 
january 2018 by jseppanen
[1801.06146] Fine-tuned Language Models for Text Classification
machine-learning  study-group  deep-learning  nlp  arxiv 
january 2018 by jseppanen
[1710.11041] Unsupervised Neural Machine Translation
nlp  machine-translation  machine-learning  deep-learning  arxiv 
january 2018 by jseppanen
[1801.00632] Character-level Recurrent Neural Networks in Practice: Comparing Training and Sampling Schemes
deep-learning  nlp  rnn  machine-learning  arxiv 
january 2018 by jseppanen
[1712.07316] A Flexible Approach to Automated RNN Architecture Generation
machine-learning  arxiv  rnn  deep-learning  nlp  machine-translation 
january 2018 by jseppanen
GitHub - keon/seq2seq: Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
seq2seq - Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
pytorch  nlp  sequence-to-sequence  machine-translation  machine-learning 
december 2017 by jseppanen
Deep Learning for NLP, advancements and trends in 2017 - Tryolabs Blog
deep-learning  machine-learning  nlp 
december 2017 by jseppanen
Smerity.com: Understanding the Mixture of Softmaxes (MoS)
machine-learning  deep-learning  nlp 
november 2017 by jseppanen
[1708.00111] A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models
deep-learning  arxiv  nlp  machine-learning  machine-translation  sequence-to-sequence 
november 2017 by jseppanen
[1711.00043] Unsupervised Machine Translation Using Monolingual Corpora Only
machine-translation  machine-learning  nlp  arxiv  study-group 
november 2017 by jseppanen
GitHub - salesforce/pytorch-qrnn: PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
nlp  pytorch  machine-learning  rnn 
october 2017 by jseppanen
[1709.02349] A Deep Reinforcement Learning Chatbot
reinforcement-learning  nlp  deep-learning  arxiv 
september 2017 by jseppanen
PyTorch — Dynamic Batching – Illia Polosukhin – Medium
nlp  lstm  pytorch 
september 2017 by jseppanen
Release v2.0.0 alpha: Neural network model (23 MB), GPU, Pickle, better training
machine-learning  nlp  python 
august 2017 by jseppanen
spaCy 101 – Everything you need to know | spaCy Usage Documentation
machine-learning  python  nlp 
august 2017 by jseppanen
Notes on state of the art techniques for language modeling · fast.ai
deep-learning  nlp 
august 2017 by jseppanen
GitHub - salesforce/awd-lstm-lm
nlp  pytorch  deep-learning 
august 2017 by jseppanen
[1708.02182] Regularizing and Optimizing LSTM Language Models
arxiv  machine-learning  nlp  lstm 
august 2017 by jseppanen
ParlAI
machine-learning  nlp 
august 2017 by jseppanen
[1708.02709] Recent Trends in Deep Learning Based Natural Language Processing
machine-learning  deep-learning  arxiv  nlp 
august 2017 by jseppanen
English word vectors · fastText
pretrained-model  machine-learning  nlp 
august 2017 by jseppanen
[1708.00524] Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
arxiv  nlp  machine-learning 
august 2017 by jseppanen
[1708.00214] Natural Language Processing with Small Feed-Forward Networks
machine-learning  arxiv  nlp 
august 2017 by jseppanen
Prodigy: A new tool for radically efficient machine teaching
python  nlp  machine-learning  dataset 
august 2017 by jseppanen
GitHub - facebookresearch/DrQA: Reading Wikipedia to Answer Open-Domain Questions
pytorch  deep-learning  nlp 
july 2017 by jseppanen
Deep Learning for NLP Best Practices
deep-learning  nlp  tutorial 
july 2017 by jseppanen
Train Neural Machine Translation Models with Sockeye | AWS AI Blog
machine-learning  nlp  machine-translation  software 
july 2017 by jseppanen
[1707.05589] On the State of the Art of Evaluation in Neural Language Models
machine-learning  study-group  arxiv  nlp  lstm 
july 2017 by jseppanen
word embeddings: what, how and whither
Yoav Goldberg
deep-learning  nlp 
june 2017 by jseppanen
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