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HKUST
- Hongkong
- https://www.cse.ust.hk/~hzhangal/
Stars
Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
WinoWhy provides human-annotated reasons for answering WSC questions.
TransOMCS is a commonsense knowledge resource transferred from ASER. It is in the format of OMCS but two orders of magnitude larger.
Dataset and Source code for EMNLP 2019 paper "What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues"
Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317
SP-10K is a large-scale human-annotated selectional preference set. Five selectional preference relations are included.
ASER (Activities, States, Events, and their Relations): a large-scale weighted eventuality knowledge graph.
TensorFlow code and pre-trained models for BERT
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"
A tiny, simple and fast heatmap plugin for Leaflet.
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to …
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Must-read papers on network representation learning (NRL) / network embedding (NE)
Tag cloud/Wordle presentation on 2D canvas or HTML
Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"
Create beautiful charts with one line of JavaScript
Create word clouds in JavaScript.
Counter-fitting Word Vectors to Linguistic Constraints
SWE Toolkit. Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints. A general framework to incorporate semantic knowledge into the popular data-driven learning process of word ve…