parse seq2seqA tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.
Stars: ✭ 26 (-23.53%)
Mutual labels: seq2seq, semantic-parsing
SRBCode for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"
Stars: ✭ 41 (+20.59%)
Mutual labels: seq2seq
springSPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).
Stars: ✭ 103 (+202.94%)
Mutual labels: semantic-parsing
NeuralCodeTranslatorNeural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations
Stars: ✭ 32 (-5.88%)
Mutual labels: seq2seq
TextSummareimplementing Neural Summarization by Extracting Sentences and Words
Stars: ✭ 16 (-52.94%)
Mutual labels: seq2seq
r2sql🌶️ R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)
Stars: ✭ 60 (+76.47%)
Mutual labels: semantic-parsing
MTA-LSTM-TensorFlowTensorFlow reimplementation of Topic-to-Essay Generation with Neural Networks.
Stars: ✭ 67 (+97.06%)
Mutual labels: seq2seq
beam searchBeam search for neural network sequence to sequence (encoder-decoder) models.
Stars: ✭ 31 (-8.82%)
Mutual labels: seq2seq
Transformer Temporal TaggerCode and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
Stars: ✭ 55 (+61.76%)
Mutual labels: seq2seq
avsr-tf1Audio-Visual Speech Recognition using Sequence to Sequence Models
Stars: ✭ 76 (+123.53%)
Mutual labels: seq2seq
chinese ancient poetryseq2seq attention tensorflow textrank context
Stars: ✭ 30 (-11.76%)
Mutual labels: seq2seq
seq2seq-autoencoderTheano implementation of Sequence-to-Sequence Autoencoder
Stars: ✭ 12 (-64.71%)
Mutual labels: seq2seq
gap-text2sqlGAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
Stars: ✭ 83 (+144.12%)
Mutual labels: semantic-parsing
Seq2Seq-chatbotTensorFlow Implementation of Twitter Chatbot
Stars: ✭ 18 (-47.06%)
Mutual labels: seq2seq
convolutional seq2seqfairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer
Stars: ✭ 63 (+85.29%)
Mutual labels: seq2seq
Naver-AI-Hackathon-Speech2019 Clova AI Hackathon : Speech - Rank 12 / Team Kai.Lib
Stars: ✭ 26 (-23.53%)
Mutual labels: seq2seq
sktSanskrit compound segmentation using seq2seq model
Stars: ✭ 21 (-38.24%)
Mutual labels: seq2seq
kospeechOpen-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
Stars: ✭ 456 (+1241.18%)
Mutual labels: seq2seq
sedeText-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data
Stars: ✭ 83 (+144.12%)
Mutual labels: semantic-parsing