Commonsense-Paper-List

A summary of must-read papers for Commonsense

Content

1. Survey
2. Commonsense Knowledge Acquisition
2.1 Commonsense Knowledge Generation	2.2 Commonsense Knowledge Updating
3. Commonsense Making and Explanation
3.1 Direct Sense Making and Explanation
3.2 Indirect Sense Making
3.2.1 Representation
3.2.1.1 Pre-trained Language Models	3.2.1.2 Event Representation
3.2.2 Specific Tasks
3.2.2.1 Commonsense Reasoning
3.2.2.1.1 Textual Commonsense Reasoning	3.2.2.1.2 Visual Commonsense Reasoning
3.2.2.2 Commonsense Question Answering	3.2.2.3 Commonsense Reading Comprehension
3.2.2.4 Understanding of Commonsense Stories	3.2.2.5 Sentiment Analysis
3.2.2.6 Dialogue	3.2.2.7 Abstractive Summarization
3.2.2.8 Text Generation
3.2.2.9 Others
3.2.2.9.1 Textual Tasks	3.2.2.9.2 Visual Tasks

How to generate knowledge, from scratch (Commonsense Knowledge Generation) ? or based on existed ones (Commonsense Knowledge Updating) ?

ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. AAAI, 2019. paper dataset

Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi.

This is a commonsense knowledge base, which cares about the If-Then relations.

Commonsense Properties from Query Logs and Question Answering Forums. CIKM, 2019. paper dataset&code

Julien Romero, Simon Razniewski, Koninika Pal, Jeff Z. Pan, Archit Sakhadeo, Gerhard Weikum.
CA-EHN: Commonsense Word Analogy from E-HowNet. arxiv, 2019. paper dataset

Peng-Hsuan Li, Tsan-Yu Yang, Wei-Yun Ma.

Actually, I don not get the dataset. -- 2020.2.23

A Logical Model for Supporting Social Commonsense Knowledge Acquisition. arxiv, 2019. paper

Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi.
Automatic Extraction of Commonsense LocatedNear Knowledge. ACL, 2018. paper dataset&code

Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu.
Extracting Commonsense Properties from Embeddings with Limited Human Guidance. ACL, 2018.

*Yiben Yang, Larry Birnbaum, Ji-Ping Wang, Doug Downey.*

Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates. AAAI, 2018. paper dataset&code

Guillem Collell, Luc Van Gool, Marie-Francine Moens.
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge. AAAI, 2017. paper dataset code

Robyn Speer, Joshua Chin, Catherine Havasi.
The "Something Something" Video Database for Learning and Evaluating Visual Common Sense. ICCV, 2017. paper

Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzynska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fründ, Peter Yianilos, Moritz Mueller-Freitag, Florian Hoppe, Christian Thurau, Ingo Bax, Roland Memisevic.
Stating the Obvious: Extracting Visual Common Sense Knowledge. NAACL, 2016. paper

Mark Yatskar, Vicente Ordonez, Ali Farhadi.
GECKA3D: A 3D Game Engine for Commonsense Knowledge Acquisition. FLAIRS Conference, 2016. paper

Erik Cambria, Tam V. Nguyen, Brian Cheng, Kenneth Kwok, Jose Sepulveda.

Joint Reasoning for Multi-Faceted Commonsense Knowledge. arxiv, 2020. paper

Erik Cambria, Tam V. Nguyen, Brian Cheng, Kenneth Kwok, Jose Sepulveda.