ccsasuke

PAQ

Code and data to support the paper "PAQ 65 Million Probably-Asked Questions andWhat You Can Do With Them"

ColBERT

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

OpenMatch

An Open-Source Package for Information Retrieval.

google-research

Google Research

DensePhrases

[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

acl2020-openqa-tutorial

ACL2020 Tutorial: Open-Domain Question Answering

AirConnect

Use AirPlay to stream to UPnP/Sonos & Chromecast devices

injecting_numeracy

The accompanying code for "Injecting Numerical Reasoning Skills into Language Models" (Mor Geva*, Ankit Gupta* and Jonathan Berant, ACL 2020).

MulCQA

Constraint-Based Question Answering with Knowledge Graph

DPR

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

PyTorch-BigGraph

Generate embeddings from large-scale graph-structured data.

KnowledgeGraphEmbedding

ffhq-dataset

Flickr-Faces-HQ Dataset (FFHQ)

flickr-cropping-dataset

A dataset that includes photos downloaded from Flickr and annotations that indicates a local window representing a good composition.

BLINK

Entity Linker solution

GraftNet

EmbedKGQA

ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

StarSpace

Learning embeddings for classification, retrieval and ranking.

multi-domain-goal-oriented-dialogues-dataset

Data from the publication "Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data"

learning_to_retrieve_reasoning_paths

The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

amazonqa

Evidence-based QA system for community question answering.

DAML

Source code for the ACL 2019 paper entitled "Domain Adaptive Dialog Generation via Meta Learning" by Kun Qian and Zhou Yu

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

dstc8-meta-dialog

Baseline implementation for DSTC8 User Response Prediction Challenge

Amazon-Fresh-Whole-Foods-delivery-slot-finder

A Mac tool that finds available delivery slots for Amazon's Whole Foods delivery and Amazon Fresh services

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

DecompRC

An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"

single-hop-rc

An original implementation of ACL 2019, "Compositional Questions Do Not Necessitate Multi-hop Reasoning" (Single-hop Reading Comprehension Model based on BERT)