General Knowledge

60 papers with code • 1 benchmarks • 1 datasets

This task aims to evaluate the ability of a model to answer general-knowledge questions.

Source: BIG-bench


Use these libraries to find General Knowledge models and implementations


Most implemented papers

Joey NMT: A Minimalist NMT Toolkit for Novices

joeynmt/joeynmt IJCNLP 2019

We present Joey NMT, a minimalist neural machine translation toolkit based on PyTorch that is specifically designed for novices.

ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

commonsense/conceptnet-numberbatch 12 Dec 2016

It is designed to represent the general knowledge involved in understanding language, improving natural language applications by allowing the application to better understand the meanings behind the words people use.

Automated Phrase Mining from Massive Text Corpora

shangjingbo1226/AutoPhrase 15 Feb 2017

As one of the fundamental tasks in text analysis, phrase mining aims at extracting quality phrases from a text corpus.

Learning to Understand Phrases by Embedding the Dictionary

thunlp/MultiRD TACL 2016

Distributional models that learn rich semantic word representations are a success story of recent NLP research.

ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

commonsense/conceptnet-numberbatch SEMEVAL 2017

This paper describes Luminoso's participation in SemEval 2017 Task 2, "Multilingual and Cross-lingual Semantic Word Similarity", with a system based on ConceptNet.

Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension

intfloat/commonsense-rc SEMEVAL 2018

This paper describes our system for SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge.

Integrating Semantic Knowledge to Tackle Zero-shot Text Classification

JingqingZ/KG4ZeroShotText NAACL 2019

Insufficient or even unavailable training data of emerging classes is a big challenge of many classification tasks, including text classification.

Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks

wangyong1122/dtn 22 Nov 2019

The key challenge of multi-domain translation lies in simultaneously encoding both the general knowledge shared across domains and the particular knowledge distinctive to each domain in a unified model.

What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge

allenai/semantic_fragments 31 Dec 2019

Open-domain question answering (QA) is known to involve several underlying knowledge and reasoning challenges, but are models actually learning such knowledge when trained on benchmark tasks?

Transformers as Soft Reasoners over Language

allenai/ruletaker 14 Feb 2020

However, expressing the knowledge in a formal (logical or probabilistic) representation has been a major obstacle to this research.