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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 14: AAAI-21 Technical Tracks 14

Paragraph-level Commonsense Transformers with Recurrent Memory

February 1, 2023

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Authors

Saadia Gabriel

University of Washington Allen Institute for Artificial Intelligence


Chandra Bhagavatula

Allen Institute for Artificial Intelligence


Vered Shwartz

University of Washington Allen Institute for Artificial Intelligence


Ronan Le Bras

Allen Institute for Artificial Intelligence


Maxwell Forbes

University of Washington Allen Institute for Artificial Intelligence


Yejin Choi

University of Washington Allen Institute for Artificial Intelligence


DOI:

10.1609/aaai.v35i14.17521


Abstract:

Human understanding of narrative texts requires making commonsense inferences beyond what is stated in the text explicitly. A recent model, COMET, can generate such inferences along several dimensions such as pre- and post-conditions, motivations, and mental states of the participants. However, COMET was trained on short phrases, and is therefore discourse-agnostic. When presented with each sentence of a multi-sentence narrative, it might generate inferences that are inconsistent with the rest of the narrative. We present the task of discourse-aware commonsense inference. Given a sentence within a narrative, the goal is to generate commonsense inferences along predefined dimensions, while maintaining coherence with the rest of the narrative. Such large-scale paragraph-level annotation is hard to get and costly, so we use available sentence-level annotations to efficiently and automatically construct a distantly supervised corpus. Using this corpus, we train PARA-COMET, a discourse-aware model that incorporates paragraph-level information to generate coherent commonsense inferences from narratives. PARA-COMET captures both semantic knowledge pertaining to prior world knowledge, and episodic knowledge involving how current events relate to prior and future events in a narrative. Our results confirm that PARA-COMET outperforms the sentence-level baselines, particularly in generating inferences that are both coherent and novel.

Topics: AAAI

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HOW TO CITE:

Saadia Gabriel||Chandra Bhagavatula||Vered Shwartz||Ronan Le Bras||Maxwell Forbes||Yejin Choi Paragraph-level Commonsense Transformers with Recurrent Memory Proceedings of the AAAI Conference on Artificial Intelligence (2021) 12857-12865.

Saadia Gabriel||Chandra Bhagavatula||Vered Shwartz||Ronan Le Bras||Maxwell Forbes||Yejin Choi Paragraph-level Commonsense Transformers with Recurrent Memory AAAI 2021, 12857-12865.

Saadia Gabriel||Chandra Bhagavatula||Vered Shwartz||Ronan Le Bras||Maxwell Forbes||Yejin Choi (2021). Paragraph-level Commonsense Transformers with Recurrent Memory. Proceedings of the AAAI Conference on Artificial Intelligence, 12857-12865.

Saadia Gabriel||Chandra Bhagavatula||Vered Shwartz||Ronan Le Bras||Maxwell Forbes||Yejin Choi. Paragraph-level Commonsense Transformers with Recurrent Memory. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.12857-12865.

Saadia Gabriel||Chandra Bhagavatula||Vered Shwartz||Ronan Le Bras||Maxwell Forbes||Yejin Choi. 2021. Paragraph-level Commonsense Transformers with Recurrent Memory. "Proceedings of the AAAI Conference on Artificial Intelligence". 12857-12865.

Saadia Gabriel||Chandra Bhagavatula||Vered Shwartz||Ronan Le Bras||Maxwell Forbes||Yejin Choi. (2021) "Paragraph-level Commonsense Transformers with Recurrent Memory", Proceedings of the AAAI Conference on Artificial Intelligence, p.12857-12865

Saadia Gabriel||Chandra Bhagavatula||Vered Shwartz||Ronan Le Bras||Maxwell Forbes||Yejin Choi, "Paragraph-level Commonsense Transformers with Recurrent Memory", AAAI, p.12857-12865, 2021.

Saadia Gabriel||Chandra Bhagavatula||Vered Shwartz||Ronan Le Bras||Maxwell Forbes||Yejin Choi. "Paragraph-level Commonsense Transformers with Recurrent Memory". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.12857-12865.

Saadia Gabriel||Chandra Bhagavatula||Vered Shwartz||Ronan Le Bras||Maxwell Forbes||Yejin Choi. "Paragraph-level Commonsense Transformers with Recurrent Memory". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 12857-12865.

Saadia Gabriel||Chandra Bhagavatula||Vered Shwartz||Ronan Le Bras||Maxwell Forbes||Yejin Choi. Paragraph-level Commonsense Transformers with Recurrent Memory. AAAI[Internet]. 2021[cited 2023]; 12857-12865.


ISSN: 2374-3468


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