microsoft / MSMARCO-Question-Answering
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension and question answering
☆212Updated last year
Alternatives and similar repositories for MSMARCO-Question-Answering:
Users that are interested in MSMARCO-Question-Answering are comparing it to the libraries listed below
- MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, …☆309Updated last year
- MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, …☆123Updated 3 years ago
- Code and data to support the paper "PAQ 65 Million Probably-Asked Questions andWhat You Can Do With Them"☆202Updated 3 years ago
- Overview of venues, research themes and datasets relevant for conversational search.☆143Updated 2 years ago
- a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini☆347Updated last year
- ☆81Updated last year
- BERTserini☆25Updated 2 years ago
- Multi-stage passage ranking: monoBERT + duoBERT☆112Updated 4 years ago
- Binary Passage Retriever (BPR) - an efficient passage retriever for open-domain question answering☆168Updated 3 years ago
- Dataset and code for EMNLP2020 paper "HybridQA: A Dataset of Multi-Hop Question Answeringover Tabular and Textual Data"☆224Updated last year
- Interpretable Evaluation for (Almost) All NLP Tasks☆195Updated 2 years ago
- Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"☆150Updated 2 years ago
- EMNLP 2021 - Pre-training architectures for dense retrieval☆244Updated 2 years ago
- Multi-hop dense retrieval for question answering☆213Updated 3 years ago
- ☆162Updated 4 years ago
- A simple toolkit to process TREC files in Python.☆167Updated 5 months ago
- Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper☆291Updated last year
- Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch☆262Updated 2 years ago
- docTTTTTquery document expansion model☆361Updated last year
- This project provides an unsupervised framework for mining and tagging quality phrases on text corpora with pretrained language models (K…☆171Updated 2 years ago
- Search Engines with Autoregressive Language models☆282Updated last year
- Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean…☆111Updated last year
- ☆165Updated last year
- We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically …☆171Updated 2 years ago
- CrossWeigh: Training Named Entity Tagger from Imperfect Annotations☆177Updated 6 months ago
- PyTorch original implementation of "Unsupervised Question Decomposition for Question Answering"☆120Updated last year
- An original implementation of EMNLP 2020, "AmbigQA: Answering Ambiguous Open-domain Questions"☆117Updated 2 years ago
- An end-to-end neural ad-hoc ranking pipeline.☆150Updated 10 months ago
- A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks☆367Updated last year
- This repository contains the code for EMNLP-2021 paper "Word-Level Coreference Resolution"☆106Updated last year