MRC 2021: The 1st International Workshop on Machine Reasoning
Co-located with WSDM 2021, Virtual Event, March 12, 2021
Homepage: https://mrc2021.github.io/
Submission: https://easychair.org/conferences/?conf=mrc2021
For queries: mrc2021@easychair.org
Submission due: Jan 15, 2021 (Abstract Due), Jan 20, 2021 (Paper Due)

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Recent years have witnessed the success of machine learning and especially deep learning in many research areas such as IR, Data Mining, Vision and Natural Language Processing. Though various learning approaches have demonstrated satisfying performance in perceptual tasks such as pattern recognition and matching by extracting useful features from data, the area still sees a large amount of research needed to advance from perceptual learning to cognitive reasoning in the coming years towards cognitive intelligence. This includes but is not limited to neural logic reasoning, probabilistic logic reasoning, neural-symbolic reasoning, causal reasoning, knowledge reasoning and commonsense reasoning.

The workshop focuses on the research and application of machine reasoning methods and applications in various tasks. It will gather researchers and practitioners in the field for discussions, idea communications, and research promotions. It will also generate insightful debates about the recent progress in machine intelligence to a broader community, including but not limited to IR, data mining, machine learning, CV, NLP, economics, legal regulations and beyond.

We welcome contributions of both long and short papers from a wide scope of topics of machine reasoning. Papers must be submitted to easychair at https://easychair.org/conferences/?conf=mrc2021 by 23:59, AoE (Anywhere on Earth) on January 15 (Abstract) and January 20th (Full paper), 2021.

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CFP

We welcome contributions of both long and short papers from a wide range of topics, including but not limited to the following topics of interest:

1. Logical Reasoning
    Neural Logic Reasoning
    Probabilistic Logic Reasoning
    Logic Reasoning on Graphs
    Logic Reasoning on Small Data
    Inductive Logic Programming
    Abductive Learning and Reasoning
    Analogy Learning and Reasoning
2. Causal Reasoning
    Counterfactual Reasoning
    Deductive Causal Reasoning
    Inductive Causal Reasoning
    Abductive Causal Reasoning
    Causal Reasoning for Unbiased AI
    Causal Reasoning for Explainable AI
3. Knowledge and Graph-based Reasoning
    Knowledge-enhanced Reasoning
    Reasoning in Heterogeneous Networks
    Reasoning on Cognitive Graphs
    Reinforcement Knowledge Reasoning
4. Commonsense Reasoning
    Commonsense Representation
    Commonsense Resources
    Social Commonsense Reasoning
    Physical Commonsense Reasoning
5. Neural Symbolic Reasoning
    Symbolic Regression over Neural Networks
    Neural Symbolic Reasoning over Graphs
    Neural Symbolic Representation Learning
    Neural Symbolic Cognitive Models
    Mechanisms for Neural-Symbolic Integration
6. Human-Machine Collaborative Reasoning
    Interactive Reasoning
    Conversational Reasoning
    Interfaces for Collaborative Reasoning
    Collaborative Reasoning in Smart Environments
    Reasoning for Collaborative Decision Making
7. Datasets and Resources
    New Datasets for Machine Reasoning
    Benchmarks for Machine Reasoning
    Small Data for Machine Reasoning
    Evaluation Methods for Machine Reasoning
8. Novel Applications of Machine Reasoning
    Reasoning in Search Systems
    Reasoning in Recommender Systems
    Reasoning in Social Networks
    Reasoning in Medical Diagnostics
    Reasoning in Legal Assistants
    Reasoning in Tabular Data
    Reasoning in Conversational Systems

**Easychair submission webpage**
https://easychair.org/conferences/?conf=mrc2021

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**Important days (All time are 23:59, AoE, Anywhere on Earth)**
Jan 15, 2021: Abstract Due
Jan 20, 2021: Paper Due
Jan 31, 2021: Paper Notification
Feb 20, 2021: Camera Ready Submission
Mar 12, 2021: Workshop Day

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**Organizing committee**
Yongfeng Zhang (Rutgers University, New Brunswick, USA)
Min Zhang (Tsinghua University, Beijing, China)
Hanxiong Chen (Rutgers University, New Brunswick, USA)
Xu Chen (University College London, London, UK)
Xianjie Chen (Facebook Research, USA)
Chuang Gan (MIT-IBM Watson AI Lab, USA)
Tong Sun (Adobe Research, USA)
Xin Luna Dong (Amazon, USA)

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Submission Guidelines:

MRC 2021 paper submissions can either be long (maximum 9 pages plus reference) or short (maximum 4 pages plus reference). Each accepted paper (no matter short or long) will have an oral presentation in a plenary session, and will also be allocated a presentation slot in a poster session to encourage discussion and follow up between authors and attendees.

MRC 2021 submissions are double-blind. All submissions and reviews will be handled electronically. MRC 2021 submissions should be prepared according to the standard double-column ACM SIG proceedings format. Additional information about formatting and style files is available on the ACM website. Papers must be submitted to easychair at https://easychair.org/conferences/?conf=mrc2021 by 23:59, AoE (Anywhere on Earth) on January 15th (Abstract) and January 20th (Full paper), 2021.

For inquires about the workshop and submissions, please feel free to email mrc2021@easychair.org