microsoft / SDR
Self-Supervised Document-to-Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
☆45Updated 2 years ago
Alternatives and similar repositories for SDR:
Users that are interested in SDR are comparing it to the libraries listed below
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆52Updated last year
- Simple Questions Generate Named Entity Recognition Datasets (EMNLP 2022)☆76Updated 2 years ago
- ACL22 paper: Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost☆41Updated last year
- A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering☆16Updated 2 years ago
- [NAACL 2021] Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering☆36Updated 4 years ago
- This project makes available the code and data from our NAACL paper: "Capturing Row and Column Semantics in Transformer Based Question An…☆55Updated 2 years ago
- AVocaDo : Strategy for Adapting Vocabulary to Downstream Domain☆23Updated 2 years ago
- exBERT on Transformers🤗☆10Updated 3 years ago
- Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks☆63Updated 3 years ago
- This repository contains the code for paper Prompting ELECTRA Few-Shot Learning with Discriminative Pre-Trained Models.☆48Updated 2 years ago
- ☆16Updated 3 years ago
- Long-context pretrained encoder-decoder models☆94Updated 2 years ago
- Using business-level retrieval system (BM25) with Python in just a few lines.☆31Updated 2 years ago
- ☆54Updated 2 years ago
- Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling☆9Updated 2 years ago
- KETOD Knowledge-Enriched Task-Oriented Dialogue☆32Updated 2 years ago
- CCQA A New Web-Scale Question Answering Dataset for Model Pre-Training☆32Updated 2 years ago
- ☆35Updated last year
- PyTorch reimplementation of the paper "SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization"☆16Updated 3 years ago
- Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021☆55Updated 3 years ago
- Research code for the paper "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models"☆26Updated 3 years ago
- Few-shot learning framework for opinion summarization published at EMNLP 2020.☆35Updated 3 years ago
- Code for text augmentation method leveraging large-scale language models☆62Updated 3 years ago
- Difference-based Contrastive Learning for Korean Sentence Embeddings☆24Updated last year
- Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)☆56Updated 2 years ago
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated 2 years ago
- [EMNLP 2021] Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning☆17Updated 2 years ago
- The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)☆52Updated 2 years ago
- Official Pytorch implementation of (Roles and Utilization of Attention Heads in Transformer-based Neural Language Models), ACL 2020☆16Updated last month
- PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)☆39Updated 2 years ago