ebegoli / SIGIR2022-Efficient-TransfomersLinks
☆21Updated 3 years ago
Alternatives and similar repositories for SIGIR2022-Efficient-Transfomers
Users that are interested in SIGIR2022-Efficient-Transfomers are comparing it to the libraries listed below
Sorting:
- MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, …☆127Updated 3 years ago
- SIGIR 2021: Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling☆59Updated 4 years ago
- An easy-to-use python toolkit for flexibly adapting various neural ranking models to target domain.☆59Updated 2 years ago
- WSDM2021 Tutorial: Beyond Probability Ranking Principle: Modeling the Dependencies among Documents☆24Updated 4 years ago
- Code for experiments on OpenBookQA from the EMNLP 2018 paper "Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Quest…☆128Updated 4 years ago
- MIMICS: A Large-Scale Data Collection for Search Clarification☆79Updated 5 years ago
- Companion repo for "Evaluating Verifiability in Generative Search Engines".☆83Updated 2 years ago
- A library to conduct ranking experiments with transformers.☆160Updated 2 years ago
- EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535☆146Updated 3 years ago
- ☆162Updated 5 years ago
- ☆60Updated last year
- ☆16Updated 3 years ago
- A Python framework for conversational search☆40Updated 3 years ago
- ☆54Updated 2 years ago
- Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations☆134Updated 3 weeks ago
- Code and Data for SIGIR 2020 Paper "Few-Shot Generative Conversational Query Rewriting"☆67Updated 2 years ago
- Source code for: On the Effect of Low-Frequency Terms on Neural-IR Models, SIGIR'19☆47Updated 6 years ago
- An end-to-end neural ad-hoc ranking pipeline.☆151Updated last month
- MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension and question answerin…☆221Updated 2 years ago
- ☆24Updated 4 years ago
- RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings…☆66Updated 3 years ago
- Submission archive for the MS MARCO passage ranking leaderboard☆13Updated 2 years ago
- Dense hybrid representations for text retrieval☆63Updated 2 years ago
- Evaluation tools shared across anserini, pyserini, and pygaggle☆32Updated 2 weeks ago
- Overview of venues, research themes and datasets relevant for conversational search.☆144Updated 3 years ago
- The unified platform for data-related resources.☆134Updated 2 years ago
- ☆78Updated last year
- Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".☆50Updated 3 years ago
- ☆36Updated 2 years ago
- ☆97Updated 3 years ago