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DeepIE: Deep Learning for Information Extraction
Multi-Hop Logical Reasoning in Knowledge Graphs
🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.
Hyperbolic Graph Convolutional Networks in PyTorch.
DeepCT and HDCT uses BERT to generate novel, context-aware bag-of-words term weights for documents and queries.
An unofficial implementation of Poly-encoder (Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring)
Website for the TREC Deep Learning Track 2019
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Graph Convolutional Networks for Text Classification. AAAI 2019
Implementation and experiments of graph embedding algorithms.
Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch
A library for efficient similarity search and clustering of dense vectors.
Repo of code and data for SIGIR-19 short paper "Deeper Text Understanding for IR with Contextual NeuralLanguage Modeling"
Facilitating the design, comparison and sharing of deep text matching models.
CIKM 2020: Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots