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Common Sense Reasoning

27 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.

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Latest papers without code

Do Language Models Have Common Sense?

ICLR 2019 Trieu H. Trinh et al

It has been argued that current machine learning models do not have commonsense, and therefore must be hard-coded with prior knowledge (Marcus, 2018).

COMMON SENSE REASONING LANGUAGE MODELLING

01 May 2019

Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios

12 Apr 2019Yeping Hu et al

In this paper, we proposed an interaction-aware decision making with adaptive strategies (IDAS) approach that can let the autonomous vehicle negotiate the road with other drivers by leveraging their cooperativeness under merging scenarios.

AUTONOMOUS VEHICLES COMMON SENSE REASONING DECISION MAKING MULTI-AGENT REINFORCEMENT LEARNING

12 Apr 2019

CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense

8 Apr 2019Michael Chen et al

We create 2. 8k questions via this procedure and evaluate the performance of multiple state-of-the-art question answering systems on our dataset.

COMMON SENSE REASONING QUESTION ANSWERING

08 Apr 2019

Image Generation from Small Datasets via Batch Statistics Adaptation

3 Apr 2019Atsuhiro Noguchi et al

To reduce the amount of data required, we propose a new method for transferring prior knowledge of the pre-trained generator, which is trained with a large dataset, to a small dataset in a different domain.

COMMON SENSE REASONING IMAGE GENERATION

03 Apr 2019

Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives

2 Apr 2019Liye Fu et al

To properly infer the narrator's intention, one needs to apply a certain degree of common sense and social intuition.

COMMON SENSE REASONING

02 Apr 2019

Fake News Detection on Social Media using Geometric Deep Learning

10 Feb 2019Federico Monti et al

One of the main reasons is that often the interpretation of the news requires the knowledge of political or social context or 'common sense', which current NLP algorithms are still missing.

COMMON SENSE REASONING FAKE NEWS DETECTION

10 Feb 2019

Visual search and recognition for robot task execution and monitoring

7 Feb 2019Lorenzo Mauro et al

Visual search of relevant targets in the environment is a crucial robot skill.

COMMON SENSE REASONING

07 Feb 2019

Learning Spatial Common Sense with Geometry-Aware Recurrent Networks

31 Dec 2018Hsiao-Yu Fish Tung et al

The proposed networks learn to "lift" and integrate 2D visual features over time into latent 3D feature maps of the scene.

COMMON SENSE REASONING REPRESENTATION LEARNING SCENE UNDERSTANDING

31 Dec 2018

Visual Question Answering as Reading Comprehension

29 Nov 2018Hui Li et al

In contrast to struggling on multimodal feature fusion, in this paper, we propose to unify all the input information by natural language so as to convert VQA into a machine reading comprehension problem.

COMMON SENSE REASONING MACHINE READING COMPREHENSION QUESTION ANSWERING VISUAL QUESTION ANSWERING

29 Nov 2018