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Common Sense Reasoning

45 papers with code · Reasoning

Common sense reasoning tasks are intended to require the model to go beyond pattern recognition. Instead, the model should use "common sense" or world knowledge to make inferences.

Benchmarks

Latest papers with code

Language Models are Few-Shot Learners

28 May 2020openai/gpt-3

By contrast, humans can generally perform a new language task from only a few examples or from simple instructions - something which current NLP systems still largely struggle to do.

 Ranked #1 on Language Modelling on Penn Treebank (Word Level) (using extra training data)

COMMON SENSE REASONING COREFERENCE RESOLUTION DOMAIN ADAPTATION FEW-SHOT LEARNING LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SENTENCE COMPLETION UNSUPERVISED MACHINE TRANSLATION WORD SENSE DISAMBIGUATION

6,604
28 May 2020

Conversational Word Embedding for Retrieval-Based Dialog System

ACL 2020 wtma/PR-Embedding

Human conversations contain many types of information, e. g., knowledge, common sense, and language habits.

COMMON SENSE REASONING MACHINE TRANSLATION WORD ALIGNMENT

18
28 Apr 2020

Predicting Subjective Features from Questions on QA Websites using BERT

ICWR 2020 tensorflow/models

Community Question-Answering websites, such as StackOverflow and Quora, expect users to follow specific guidelines in order to maintain content quality.

COMMON SENSE REASONING COMMUNITY QUESTION ANSWERING QUESTION QUALITY ASSESSMENT READING COMPREHENSION

65,334
24 Feb 2020

PIQA: Reasoning about Physical Commonsense in Natural Language

26 Nov 2019vered1986/self_talk

Questions requiring this kind of physical commonsense pose a challenge to today's natural language understanding systems.

COMMON SENSE REASONING NATURAL LANGUAGE UNDERSTANDING QUESTION ANSWERING

20
26 Nov 2019

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

9 Nov 2019INK-USC/CommonGen

In this paper, we present a constrained text generation task, CommonGen associated with a benchmark dataset, to explicitly test machines for the ability of generative commonsense reasoning.

COMMON SENSE REASONING QUESTION ANSWERING RELATIONAL REASONING TEXT GENERATION

32
09 Nov 2019

QASC: A Dataset for Question Answering via Sentence Composition

25 Oct 2019allenai/qasc

Guided by these annotations, we present a two-step approach to mitigate the retrieval challenges.

COMMON SENSE REASONING QUESTION ANSWERING

25
25 Oct 2019

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

IJCNLP 2019 INK-USC/KagNet

Commonsense reasoning aims to empower machines with the human ability to make presumptions about ordinary situations in our daily life.

Ranked #2 on Common Sense Reasoning on CommonsenseQA (using extra training data)

COMMON SENSE REASONING KNOWLEDGE BASE QUESTION ANSWERING KNOWLEDGE GRAPHS NATURAL LANGUAGE INFERENCE

163
04 Sep 2019

Improving Neural Story Generation by Targeted Common Sense Grounding

IJCNLP 2019 calclavia/story-generation

Stories generated with neural language models have shown promise in grammatical and stylistic consistency.

COMMON SENSE REASONING MULTI-TASK LEARNING

26
26 Aug 2019

Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions

ACL 2019 RiTUAL-UH/emphasis-2019

In visual communication, text emphasis is used to increase the comprehension of written text to convey the author{'}s intent.

COMMON SENSE REASONING

8
01 Jul 2019