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--- |
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license: mit |
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widget: |
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- text: "What is or could be the subsequent event of the target? <sep> target: Oh . I just can't forget it .<sep> context: A: David , why didn't you clean the room ?, <utt> B: I'm not in the mood ., <utt> A: Why are you feeling depressed ?, <utt> B: I was told my girlfriend was speaking ill of me. That \u2019 s a real let-down ., <utt> A: I don t think she will do such a thing ., <utt> B: But she did and made me disappointed ., <utt> A: Oh , cheer up . A girlfriend is not everything ., <utt> B: But she means a lot to me ., <utt> A: Then forgive her mistake ., <utt> B: Oh . I just can't forget it " |
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example_title: "Subsequent Event" |
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- text: "What is or could be the cause of the target? <sep>target: But she did and made me disappointed . <sep> context: A: David , why didn't you clean the room ?, <utt>B: I'm not in the mood ., <utt> A: Why are you feeling depressed ?, <utt> B: I was told my girlfriend was speaking ill of me. That \u2019 s a real let-down ., <utt>A: I don t think she will do such a thing ., <utt> B: But she did and made me disappointed ., <utt> A: Oh , cheer up . A girlfriend is not everything ., <utt>B: But she means a lot to me ., <utt> A: Then forgive her mistake ., <utt> B: Oh . I just can't forget it " |
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example_title: "Cause" |
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- text: "What is the possible emotional reaction of the listener in response to target? <sep> target: Oh . I just can't forget it .<sep> context: A: David , why didn't you clean the room ?, <utt> B: I'm not in the mood ., <utt> A: Why are you feeling depressed ?, <utt>B: I was told my girlfriend was speaking ill of me. That \u2019 s a real let-down ., <utt> A: I don t think she will do such a thing ., <utt> B: But she did and made me disappointed ., <utt> A: Oh , cheer up . A girlfriend is not everything ., <utt> B: But she means a lot to me ., <utt> A: Then forgive her mistake ., <utt> B: Oh . I just can't forget it " |
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example_title: "Emotional Reaction" |
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datasets: |
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- declare-lab/cicero |
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--- |
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## Contextualized Commonsense Inference in Dialogues v2 |
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The pretrained checkpoint for the paper [Multiview Contextual Commonsense Inference: A New Dataset and Task](https://arxiv.org/abs/2210.02890). |
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The model is trained based on the [T5-large](https://huggingface.co/t5-large) checkpoint. |
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## Datasets |
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The dataset used to pretrain the model can be obtained from the [CICERO repo](https://github.com/declare-lab/CICERO) following instructions. The CICEROv2 consists of annotated commonsense inferences including cause and emotional reaction, etc. The dialogues are from multiple datasets. |
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| Dataset | #Dialogues| #Instances| |
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| -------- | ----- | --------- | |
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| DailyDialog| 1118| 3973| |
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| MuTual| 1011 | 3384| |
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| Dream| 250 | 994| |
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### Examples |
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Some examples of generated results from the pretrained model (the zero-shot setting). |
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**Subsequent Event** |
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``` |
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What is or could be the subsequent event of the target? <sep> |
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target: Oh . I just can't forget it .<sep> |
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context: A: David , why didn't you clean the room ?, <utt> |
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B: I'm not in the mood ., <utt> |
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A: Why are you feeling depressed ?, <utt> |
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B: I was told my girlfriend was speaking ill of me. That \u2019 s a real let-down ., <utt> |
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A: I don t think she will do such a thing ., <utt> |
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B: But she did and made me disappointed ., <utt> |
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A: Oh , cheer up . A girlfriend is not everything ., <utt> |
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B: But she means a lot to me ., <utt> |
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A: Then forgive her mistake ., <utt> |
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B: Oh . I just can't forget it |
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``` |
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Predicted subsequent event: |
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``` |
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David's girlfriend apologized to david for her mistake. |
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``` |
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**Cause** |
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``` |
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What is or could be the cause of the target? <sep> |
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target: But she did and made me disappointed . <sep> |
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context: A: David , why didn't you clean the room ?, <utt> |
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B: I'm not in the mood ., <utt> |
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A: Why are you feeling depressed ?, <utt> |
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B: I was told my girlfriend was speaking ill of me. That \u2019 s a real let-down ., <utt> |
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A: I don t think she will do such a thing ., <utt> |
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B: But she did and made me disappointed ., <utt> |
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A: Oh , cheer up . A girlfriend is not everything ., <utt> |
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B: But she means a lot to me ., <utt> |
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A: Then forgive her mistake ., <utt> |
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B: Oh . I just can't forget it |
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``` |
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Predicted cause: |
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``` |
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David's girlfriend was not nice to him. |
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``` |
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**Emotional Reaction** |
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``` |
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What is the possible emotional reaction of the listener in response to target? <sep> |
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target: Oh . I just can't forget it .<sep> |
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context: A: David , why didn't you clean the room ?, <utt> |
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B: I'm not in the mood ., <utt> |
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A: Why are you feeling depressed ?, <utt> |
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B: I was told my girlfriend was speaking ill of me. That \u2019 s a real let-down ., <utt> |
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A: I don t think she will do such a thing ., <utt> |
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B: But she did and made me disappointed ., <utt> |
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A: Oh , cheer up . A girlfriend is not everything ., <utt> |
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B: But she means a lot to me ., <utt> |
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A: Then forgive her mistake ., <utt> |
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B: Oh . I just can't forget it |
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``` |
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Predicted emotional reaction: |
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``` |
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The listener is hopeful that david will forgive his girlfriend for her mistake. |
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``` |
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## BibTeX entry and citation info |
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If you use the model, you can cite: |
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```bibtex |
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@article{Shen2022MultiviewCC, |
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title={Multiview Contextual Commonsense Inference: A New Dataset and Task}, |
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author={Siqi Shen and Deepanway Ghosal and Navonil Majumder and Henry Lim and Rada Mihalcea and Soujanya Poria}, |
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journal={ArXiv}, |
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year={2022}, |
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volume={abs/2210.02890} |
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} |
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``` |
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