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COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences

Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-lin Wu, Xuezhe Ma, and Nanyun Peng, in ACL-Findings, 2021.

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@inproceedings{sw2021com,
  title = {COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences},
  author = {Singh, Shikhar and Wen, Nuan and Hou, Yu and Alipoormolabashi, Pegah and Wu, Te-lin and Ma, Xuezhe and Peng, Nanyun},
  booktitle = {ACL-Findings},
  year = {2021}
}

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    Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-lin Wu, Xuezhe Ma, and Nanyun Peng, in ACL-Findings, 2021.
    Full Text BibTeX Details
    @inproceedings{sw2021com,
      title = {COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences},
      author = {Singh, Shikhar and Wen, Nuan and Hou, Yu and Alipoormolabashi, Pegah and Wu, Te-lin and Ma, Xuezhe and Peng, Nanyun},
      booktitle = {ACL-Findings},
      year = {2021}
    }
    
    Details
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    Full Text Code Abstract BibTeX Details
    Perspective differences exist among different cultures or languages. A lack of mutual understanding among different groups about their perspectives on specific values or events may lead to uninformed decisions or biased opinions. Automatically understanding the group perspectives can provide essential background for many downstream applications of natural language processing techniques. In this paper, we study colingual groups and use language corpora as a proxy to identify their distributional perspectives. We present a novel computational approach to learn shared understandings, and benchmark our method by building culturally-aware models for the English, Chinese, and Japanese languages. On a held out set of diverse topics including marriage, corruption, democracy, our model achieves high correlation with human judgements regarding intra-group values and inter-group differences.
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      booktitle = {NAACL 2021 Workshop of Social NLP},
      presentation_id = {https://underline.io/events/122/posters/4298/poster/20429-identifying-distributional-perspectives-from-colingual-groups},
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