Jihyuk Kim's repositories
BasisCustomize
[TACL2019] Categorical Metadata Representation for Customized Text Classification
CollectiveKD
[NAACL 2022] Collective Relevance Labeling for Passage Retrieval
PQA-ColBERT
[EMNLP 2022] Pseudo-Relevance for Enhancing Document Representation
ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
ACLPUB
The official tool for creating proceedings for conferences of the Association for Computational Linguistics (ACL).
anserini
A Lucene toolkit for replicable information retrieval research
attend2u
Attend to You: Personalized Image Captioning with Context Sequence Memory Networks. In CVPR, 2017. Expanded : Towards Personalized Image Captioning via Multimodal Memory Networks. In IEEE TPAMI, 2018.
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
AutoSense
[AAAI2019] AutoSense Model for Word Sense Induction
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
cheatSheetGit
my own cheat sheet
ColBERT
ColBERT: Contextualized Late Interaction over BERT (SIGIR'20)
faiss
A library for efficient similarity search and clustering of dense vectors.
jihyukkim-nlp.github.io
Simple and Lightweight Theme for Jekyll
keyphrase-generation-rl
Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"
nip
2019년 2학기 소프트웨어 종합설계. NiP은 Namgyu is Pig
NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
OpenNMT-kpg-release
Keyphrase Generation
OpenNMT-py
Open Source Neural Machine Translation in PyTorch
RAdam
On The Variance Of The Adaptive Learning Rate And Beyond
sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
text
Data loaders and abstractions for text and NLP
unified-summarization
Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.
WikiTableQuestions
A dataset of complex questions on semi-structured Wikipedia tables