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title: "Workshop on Commonsense Inference in Natural Language"
description: "Workshop on Commonsense Inference in Natural Language Processing 2019 — accepted papers: 2 papers in the Elamur Research library…"
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# Workshop on Commonsense Inference in Natural Language Processing 2019 — accepted papers

Workshop on Commonsense Inference in Natural Language Processing 2019 is the 2019 edition of the Workshop on Commonsense Inference in Natural Language Processing, held in Hong Kong, China, November 2019 (publisher: Association for Computational Linguistics). The ACL Anthology lists 16 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Hong Kong, [China](https://md.research.elamur.ai/free/en/countries/china/) · 🗓 November 2019

[**16** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/workshop-on-commonsense-inference-in-natural-language-processing/2019/#works) · [**117** citations of these works](https://md.research.elamur.ai/free/en/venues/workshop-on-commonsense-inference-in-natural-language-processing/2019/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering](https://md.research.elamur.ai/free/en/papers/ma-2019-generalizable-neuro-symbolic-systems-commonsense/)**Kaixin Ma, Jonathan Francis, Quanyang Lu et al.*65 citations · our summary*
2. **[When Choosing Plausible Alternatives, Clever Hans can be Clever ↗](https://aclanthology.org/D19-6004/)**Pride Kavumba, Naoya Inoue, Benjamin Heinzerling et al.*40 citations*
3. **[A Hybrid Neural Network Model for Commonsense Reasoning ↗](https://aclanthology.org/D19-6002/)**Pengcheng He, Xiaodong Liu, Weizhu Chen et al.*24 citations*
4. **[Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations ↗](https://aclanthology.org/D19-6001/)**Jeff Da, Jungo Kasai*22 citations*
5. **[Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks ↗](https://aclanthology.org/D19-6011/)**Xiepeng Li, Zhexi Zhang, Wei Zhu et al.*16 citations*
6. **[Diversity-aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction ↗](https://aclanthology.org/D19-6014/)**Hirokazu Kiyomaru, Kazumasa Omura, Yugo Murawaki et al.*9 citations*
7. **[Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text ↗](https://aclanthology.org/D19-6015/)**Ian Porada, Kaheer Suleman, Jackie Chi Kit Cheung*8 citations*
8. **[Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report ↗](https://aclanthology.org/D19-6007/)**Simon Ostermann, Sheng Zhang, Michael Roth et al.*8 citations*
9. **[How Pre-trained Word Representations Capture Commonsense Physical Comparisons](https://md.research.elamur.ai/free/en/papers/goel-2019-how-pre-trained-word-representations/)**Pranav Goel, Shi Feng, Jordan Boyd-Graber*7 citations · our summary*
10. **[Jeff Da at COIN - Shared Task: BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge ↗](https://aclanthology.org/D19-6010/)**Jeff Da*6 citations*

## All accepted papers (16)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. **[Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering](https://md.research.elamur.ai/free/en/papers/ma-2019-generalizable-neuro-symbolic-systems-commonsense/)**Kaixin Ma, Jonathan Francis, Quanyang Lu et al.*65 citations · our summary*
2. **[When Choosing Plausible Alternatives, Clever Hans can be Clever ↗](https://aclanthology.org/D19-6004/)**Pride Kavumba, Naoya Inoue, Benjamin Heinzerling et al.*40 citations*
3. **[A Hybrid Neural Network Model for Commonsense Reasoning ↗](https://aclanthology.org/D19-6002/)**Pengcheng He, Xiaodong Liu, Weizhu Chen et al.*24 citations*
4. **[Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations ↗](https://aclanthology.org/D19-6001/)**Jeff Da, Jungo Kasai*22 citations*
5. **[Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks ↗](https://aclanthology.org/D19-6011/)**Xiepeng Li, Zhexi Zhang, Wei Zhu et al.*16 citations*
6. **[Diversity-aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction ↗](https://aclanthology.org/D19-6014/)**Hirokazu Kiyomaru, Kazumasa Omura, Yugo Murawaki et al.*9 citations*
7. **[Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text ↗](https://aclanthology.org/D19-6015/)**Ian Porada, Kaheer Suleman, Jackie Chi Kit Cheung*8 citations*
8. **[Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report ↗](https://aclanthology.org/D19-6007/)**Simon Ostermann, Sheng Zhang, Michael Roth et al.*8 citations*
9. **[How Pre-trained Word Representations Capture Commonsense Physical Comparisons](https://md.research.elamur.ai/free/en/papers/goel-2019-how-pre-trained-word-representations/)**Pranav Goel, Shi Feng, Jordan Boyd-Graber*7 citations · our summary*
10. **[Jeff Da at COIN - Shared Task: BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge ↗](https://aclanthology.org/D19-6010/)**Jeff Da*6 citations*
11. **[KARNA at COIN Shared Task 1: Bidirectional Encoder Representations from Transformers with relational knowledge for machine comprehension with common sense ↗](https://aclanthology.org/D19-6008/)**Yash Jain, Chinmay Singh*4 citations*
12. **[BLCU-NLP at COIN-Shared Task1: Stagewise Fine-tuning BERT for Commonsense Inference in Everyday Narrations ↗](https://aclanthology.org/D19-6012/)**Chunhua Liu, Dong Yu*3 citations*
13. **[IIT-KGP at COIN 2019: Using pre-trained Language Models for modeling Machine Comprehension ↗](https://aclanthology.org/D19-6009/)**Prakhar Sharma, Sumegh Roychowdhury*3 citations*
14. **[Commonsense about Human Senses: Labeled Data Collection Processes ↗](https://aclanthology.org/D19-6005/)**Ndapa Nakashole*1 citation*
15. **[Commonsense inference in human-robot communication ↗](https://aclanthology.org/D19-6013/)**Aliaksandr Huminski, Yan Bin Ng, Kenneth Kwok et al.*1 citation*
16. **[Extracting Common Inference Patterns from Semi-Structured Explanations ↗](https://aclanthology.org/D19-6006/)**Sebastian Thiem, Peter Jansen*1 citation*

## Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. **[Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering](https://md.research.elamur.ai/free/en/papers/ma-2019-generalizable-neuro-symbolic-systems-commonsense/) [Workshop on Commonsense Inference in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-commonsense-inference-in-natural-language-processing/)**Kaixin Ma, Jonathan Francis, Quanyang Lu, et al.*2019 · 105 citations*
2. **[How Pre-trained Word Representations Capture Commonsense Physical Comparisons](https://md.research.elamur.ai/free/en/papers/goel-2019-how-pre-trained-word-representations/) [Workshop on Commonsense Inference in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-commonsense-inference-in-natural-language-processing/)**Pranav Goel, Shi Feng, Jordan Boyd-Graber*2019 · 12 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Reasoning (2)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/)

## Fields

[Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Alessandro Oltramari**1 work here · 105 citations](https://md.research.elamur.ai/free/en/authors/alessandro-oltramari/) · [🧑‍🔬**Eric Nyberg**1 work here · 105 citations](https://md.research.elamur.ai/free/en/authors/eric-nyberg/) · [🧑‍🔬**Kaixin Ma**1 work here · 105 citations](https://md.research.elamur.ai/free/en/authors/kaixin-ma/) · [🧑‍🔬**Jordan Boyd-Graber**1 work here · 12 citations](https://md.research.elamur.ai/free/en/authors/jordan-boyd-graber/) · [🧑‍🔬**Pranav Goel**1 work here · 12 citations](https://md.research.elamur.ai/free/en/authors/pranav-goel/) · [🧑‍🔬**Shi Feng**1 work here · 12 citations](https://md.research.elamur.ai/free/en/authors/shi-feng/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏢**Robert Bosch (United States)** Farmington Hills · United States 1 work here](https://md.research.elamur.ai/free/en/companies/robert-bosch/) · [🎓**University of Maryland, College Park** College Park · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 1 work here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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