SeonjeongHwang

lm-vocab-trimmer

Vocabulary Trimming (VT) is a model compression technique, which reduces a multilingual LM vocabulary to a target language by deleting irrelevant tokens from its vocabulary. This repository contains a python-library vocabtrimmer, that remove irrelevant tokens from a multilingual LM vocabulary for the target language.

WeeklyArxivTalk

[Zoom & Facebook Live] Weekly AI Arxiv 시즌2

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-mnist-CVAE

CQG

The codes for ACL2022 paper “CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation

Fact-Reasoning-POSTECH

clrcmd

Official Repository for CLRCMD (Appear in ACL2022)

excord

Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering (Kim et al., ACL 2021)

COQAR

a corpus containing 4.5K conversations from the Conversational Question-Answering dataset CoQA, for a total of 53K follow-up question-answer pairs, in which each original question was manually annotated with at least 2 and at most 3 out-of-context rewritings

WikiHow-Dataset

A Large Scale Text Summarization Dataset

conversational-QG

[ACL 2019]: Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling

CaSE_RISE

This is the implementation of paper "Learning to Ask Conversational Questions by Optimizing Levenshtein Distance".

Question-Generation-Paper-List

A summary of must-read papers for Neural Question Generation (NQG)

ke-t5

GPT2_Summarization

Finetune GPT2 for text summarization

ChainCQG

akec

Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications.

roberta-squad

roBERTa training for SQuAD

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

models

Models and examples built with TensorFlow

bert_hae

BERT with History Answer Embedding for Conversational Question Answering

FlowQA

Implementation of conversational QA model: FlowQA (with slight improvement)

electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

GraphFlow

Code & data accompanying the IJCAI 2020 paper "GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension"

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

DistilKoBERT

Distillation of KoBERT from SKTBrain (Lightweight KoBERT)

KalBert

Korean ALBERT

ezTag

Web interface that allows users to perform computer-assisted text annotation

AwesomeMRC

IJCAI 2021 Tutorial & code for Retrospective Reader for Machine Reading Comprehension (AAAI 2021)