6 open source projects by cbaziotis

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

✭ 213

vue deep-learning vuejs nlp visualization natural-language-processing attention-mechanism attention

2. Datastories Semeval2017 Task4

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

✭ 184

python deep-learning nlp keras neural-network twitter deeplearning lstm sentiment-analysis attention-mechanism attention nlp-machine-learning embeddings word-embeddings glove keras-models

3. Ekphrasis

Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).

✭ 433

python nlp text-processing tokenizer nlp-library word-segmentation

4. ntua-slp-semeval2018

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

✭ 79

python deep-learning sentiment-analysis lstm attention semeval attention-mechanism emotion-recognition affect-recognition irony-detection

5. datastories-semeval2017-task6

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

6. seq3

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

✭ 121

python shell autoencoder summarization seq2seq gumbel-softmax abstractive-summarization sentence-compression seq2seq2seq

1-6 of 6 user projects