eveliao

eveliao's Stars

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.9k363462.6k

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.2k140482937

• tensorflow/nmt

  TensorFlow Neural Machine Translation Tutorial

  Language:Python6.4k2504262k

• google/seq2seq

  A general-purpose encoder-decoder framework for Tensorflow

  Language:Python5.6k2442781.3k

• cjhutto/vaderSentiment

  VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

  Language:Python4.5k1461201k

• agermanidis/autosub

  [NO LONGER MAINTAINED] Command-line utility for auto-generating subtitles for any video file

  Language:Python4.2k1331581.6k

• jamesturk/jellyfish

  🪼 a python library for doing approximate and phonetic matching of strings.

  Language:Jupyter Notebook2.1k42141160

• artix41/awesome-transfer-learning

  Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

  1.7k949301

• commonsense/conceptnet-numberbatch

  Language:Python1.3k7134143

• roomylee/awesome-relation-extraction

  📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

  1.2k516136

• ematvey/tensorflow-seq2seq-tutorials

  Dynamic seq2seq in TensorFlow, step by step

  Language:Jupyter Notebook9964836374

• NTMC-Community/awesome-neural-models-for-semantic-match

  A curated list of papers dedicated to neural text (semantic) matching.

  Language:HTML7755322122

• thunlp/FewRel

  A Large-Scale Few-Shot Relation Extraction Dataset

  Language:Python7312282165

• HendrikStrobelt/Seq2Seq-Vis

  Visualization for Sequential Neural Networks with Attention

  Language:Python461223174

• SeoSangwoo/Attention-Based-BiLSTM-relation-extraction

  Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)

  Language:Python432922139

• INK-USC/USC-DS-RelationExtraction

  Distantly Supervised Relation Extraction

  Language:C++4193320111

• roomylee/cnn-relation-extraction

  Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

  Language:Python220151162

• thunlp/HATT-Proto

  Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

  Language:Python18881935

• Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree

  TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

  Language:Jupyter Notebook185112041

• hadyelsahar/CNN-RelationExtraction

  Convolution neural network for relation extraction between two given entities

  Language:Python1788859

• OanaMariaCamburu/e-SNLI

  Language:Python15913929

• yoavg/bert-syntax

  Assessing syntactic abilities of BERT

  Language:Python1506426

• roomylee/rcnn-relation-extraction

  Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

  Language:Python65627

• pratapbhanu/CRCNN

  Classifying Relations by Ranking with Convolutional Neural Networks

  Language:Python584819

• sahitya0000/Relation-Classification

  Relation Classification - SEMEVAL 2010 task 8 dataset

  Language:Jupyter Notebook563015

• INK-USC/StructMineDataPipeline

  Performs entity detection, distant supervision, candidate generation, and produces JSON files for typing systems (PLE, AFET, CoType)

  Language:C++435411

• uwnlp/event2mind

  Commonsense Inference on Events, Intents, and Reactions

  43736

• alvations/nltk_cli

  Language:Python20315

• shashwath94/Relation-Extraction-using-CNN

  A Chainer implementation of a Convolutional Network model for relation classification in the SemEval Task 8 dataset. This model performs Multi-Way Classification of Semantic Relations Between Pairs of Nominals in the SemEval 2010 task 8 dataset.

  Language:Python17327

• gcollell/spatial-commonsense

  Code and data for the paper: Collell G., Van Gool, L., Moens., M-F., (2018) "Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates" AAAI

  Language:Python423