Open-Ended Commonsense Reasoning (NAACL 2021)

Related tags

Deep LearningOpenCSR
Overview

Open-Ended Commonsense Reasoning

Quick links: [Paper] | [Video] | [Slides] | [Documentation]


DrFact


This is the repository of the paper, Differentiable Open-Ended Commonsense Reasoning, by Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, and William W. Cohen, in Proc. of NAACL 2021.

Abstract

Current commonsense reasoning research focuses on developing models that use commonsense knowledge to answer multiple-choice questions. However, systems designed to answer multiple-choice questions may not be useful in applications that do not provide a small list of candidate answers to choose from. As a step towards making commonsense reasoning research more realistic, we propose to study open-ended commonsense reasoning (OpenCSR) — the task of answering a commonsense question without any pre-defined choices — using as a resource only a corpus of commonsense facts. OpenCSR is challenging due to a large decision space, and because many questions require implicit multi-hop reasoning. As an approach to OpenCSR, we propose DrFact, an efficient Differentiable model for multi-hop Reasoning over knowledge Facts. To evaluate OpenCSR methods, we adapt several popular commonsense reasoning benchmarks, and collect multiple new answers for each test question via crowd-sourcing. Experiments show that DrFact outperforms strong baseline methods by a large margin.

Content

Please check the documentation for running the code.

We show the instructions for running four retrieval approaches to the OpenCSR task — BM25 (off-the-shelf), DPR (EMNLP2020), DrKIT (ICLR 2020) and DrFact (ours, NAACL 2021), as well as a concept re-ranker to boost the performance by learning with cross-attention. Note that there is a relative dependency of these four methods:

  • training the DPR model needs the results from BM25 (to create training data);
  • DrFact needs to reuse DPR’s fact index and single-hop results (for creating distant supervision);
  • DrFact and DrKIT share many utility functions (sparse matrix operation and indexing scripts). We detailed the detailed instructions in individual pages.

Outline and Documentation

Citation

@inproceedings{lin-etal-2021-differentiable,
    title = "Differentiable Open-Ended Commonsense Reasoning",
    author = "Lin, Bill Yuchen and Sun, Haitian and Dhingra, Bhuwan and Zaheer, Manzil and Ren, Xiang and Cohen, William",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.naacl-main.366",
    pages = "4611--4625"
}

Contact

This repo is now under active development, and there may be issues caused by refactoring code. Please email [email protected] if you have any questions.

Owner
(Bill) Yuchen Lin
CS PhD student @ USC; NLP/AI/ML
(Bill) Yuchen Lin
Türkiye Canlı Mobese Görüntülerinde Profesyonel Nesne Takip Sistemi

Türkiye Mobese Görüntü Takip Türkiye Mobese görüntülerinde OPENCV ve Yolo ile takip sistemi Multiple Object Tracking System in Turkish Mobese with OPE

15 Dec 22, 2022
A benchmark for the task of translation suggestion

WeTS: A Benchmark for Translation Suggestion Translation Suggestion (TS), which provides alternatives for specific words or phrases given the entire d

zhyang 55 Dec 24, 2022
Unofficial PyTorch Implementation of "Augmenting Convolutional networks with attention-based aggregation"

Pytorch Implementation of Augmenting Convolutional networks with attention-based aggregation This is the unofficial PyTorch Implementation of "Augment

DK 20 Sep 09, 2022
Red Team tool for exfiltrating files from a target's Google Drive that you have access to, via Google's API.

GD-Thief Red Team tool for exfiltrating files from a target's Google Drive that you(the attacker) has access to, via the Google Drive API. This includ

Antonio Piazza 39 Dec 27, 2022
Discord bot for notifying on github events

Git-Observer Discord bot for notifying on github events ⚠️ This bot is meant to write messages to only one channel (implementing this for multiple pro

ilu_vatar_ 0 Apr 19, 2022
ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators

Sequence Generation with GANs trained by Gradient Estimation Requirements: PyTorch v0.3 Python 3.6 CUDA 9.1 (For GPU) Origin The idea is from paper Se

40 Nov 03, 2022
Source code for TACL paper "KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation".

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation Source code for TACL 2021 paper KEPLER: A Unified Model for Kn

THU-KEG 138 Dec 22, 2022
Solving Zero-Shot Learning in Named Entity Recognition with Common Sense Knowledge

Zero-Shot Learning in Named Entity Recognition with Common Sense Knowledge Associated code for the paper Zero-Shot Learning in Named Entity Recognitio

Søren Hougaard Mulvad 13 Dec 25, 2022
The code for the CVPR 2021 paper Neural Deformation Graphs, a novel approach for globally-consistent deformation tracking and 3D reconstruction of non-rigid objects.

Neural Deformation Graphs Project Page | Paper | Video Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction Aljaž Božič, Pablo P

Aljaz Bozic 134 Dec 16, 2022
This is Unofficial Repo. Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (CVPR 2021)

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection This is a PyTorch implementation of the LipForensics paper. This is an U

Minha Kim 2 May 11, 2022
Diverse Object-Scene Compositions For Zero-Shot Action Recognition

Diverse Object-Scene Compositions For Zero-Shot Action Recognition This repository contains the source code for the use of object-scene compositions f

7 Sep 21, 2022
Efficient face emotion recognition in photos and videos

This repository contains code of face emotion recognition that was developed in the RSF (Russian Science Foundation) project no. 20-71-10010 (Efficien

Andrey Savchenko 239 Jan 04, 2023
Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources

Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources (e.g. just the lead vocals).

Victor Basu 14 Nov 07, 2022
Official implementation for CVPR 2021 paper: Adaptive Class Suppression Loss for Long-Tail Object Detection

Adaptive Class Suppression Loss for Long-Tail Object Detection This repo is the official implementation for CVPR 2021 paper: Adaptive Class Suppressio

CASIA-IVA-Lab 67 Dec 04, 2022
PyBrain - Another Python Machine Learning Library.

PyBrain -- the Python Machine Learning Library =============================================== INSTALLATION ------------ Quick answer: make sure you

2.8k Dec 31, 2022
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning Authors: Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, and Nig

Yixuan Su 79 Nov 04, 2022
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

SuMa++: Efficient LiDAR-based Semantic SLAM This repository contains the implementation of SuMa++, which generates semantic maps only using three-dime

Photogrammetry & Robotics Bonn 701 Dec 30, 2022
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Delving into Deep Imbalanced Regression This repository contains the implementation code for paper: Delving into Deep Imbalanced Regression Yuzhe Yang

Yuzhe Yang 568 Dec 30, 2022
A benchmark dataset for emulating atmospheric radiative transfer in weather and climate models with machine learning (NeurIPS 2021 Datasets and Benchmarks Track)

ClimART - A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models Official PyTorch Implementation Using deep le

21 Dec 31, 2022
[ArXiv 2021] Data-Efficient Instance Generation from Instance Discrimination

InsGen - Data-Efficient Instance Generation from Instance Discrimination Data-Efficient Instance Generation from Instance Discrimination Ceyuan Yang,

GenForce: May Generative Force Be with You 93 Dec 25, 2022