"Love is as Complex as Math": Metaphor Generation System for Social Chatbot
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Abstract (arXiv)
As the wide adoption of intelligent chatbot in human daily life, user demands for such systems evolve from basic task-solving conversations to more casual and friend-like communication. To meet the user needs and build emotional bond with users, it is essential for social chatbots to incorporate more human-like and advanced linguistic features. In this paper, we investigate the usage of a commonly used rhetorical device by human -- metaphor for social chatbot. Our work first designs a metaphor generation framework, which generates topic-aware and novel figurative sentences. By embedding the framework into a chatbot system, we then enables the chatbot to communicate with users using figurative language. Human annotators validate the novelty and properness of the generated metaphors. More importantly, we evaluate the effects of employing metaphors in human-chatbot conversations. Experiments indicate that our system effectively arouses user interests in communicating with our chatbot, resulting in significantly longer human-chatbot conversations.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Jan 2020.
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Citing papers per year: 2022: 5; 2023: 1; 2024: 3.
9 papers.
- 2022Can Pre-trained Language Models Interpret Similes as Smart as Human?cited by 13
- 2024CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generationcited by 11
- 2024MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Languagecited by 10
- 2022Nominal Metaphor Generation with Multitask Learningcited by 8
- 2022Probing Simile Knowledge from Pre-trained Language Modelscited by 5
- 2023HAUSER: Towards Holistic and Automatic Evaluation of Simile Generationcited by 5
- 2022Ring That Bell: A Corpus and Method for Multimodal Metaphor Detection in Videoscited by 3
- 2024Finding Challenging Metaphors that Confuse Pretrained Language Modelscited by 3
- 2022MAPS-KB: A Million-scale Probabilistic Simile Knowledge Basecited by 2
- 2024MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language19 Jun 2024
- 2024CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation20 Feb 2024
- 2024Finding Challenging Metaphors that Confuse Pretrained Language Models29 Jan 2024
- 2023HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation13 Jun 2023
- 2022Ring That Bell: A Corpus and Method for Multimodal Metaphor Detection in Videos15 Dec 2022
- 2022MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base10 Dec 2022
- 2022Nominal Metaphor Generation with Multitask Learning10 Jun 2022
- 2022Probing Simile Knowledge from Pre-trained Language Models27 Apr 2022
- 2022Can Pre-trained Language Models Interpret Similes as Smart as Human?16 Mar 2022