Alessandra Cervone — accepted AI-conference papers

2023

Unsupervised Melody-to-Lyrics Generation

Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar Sigurdsson, Chenyang Tao +5

ACL 2023long

Automatic melody-to-lyric generation is a task in which song lyrics are generated to go with a given melody. It is of significant practical interest and more challenging than unconstrained lyric generation as the music imposes additional constraints onto the lyrics. The training data is limited as m…

Cited by 17 Source ↗PDF ↗code ↗Scholar ↗

2022

ExPUNations: Augmenting Puns with Keywords and Explanations

Jiao Sun, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Tagyoung Chung, Jing Huang +2

EMNLP 2022main

The tasks of humor understanding and generation are challenging and subjective even for humans, requiring commonsense and real-world knowledge to master. Puns, in particular, add the challenge of fusing that knowledge with the ability to interpret lexical-semantic ambiguity. In this paper, we presen…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗

2022

Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems

Yi-Lin Tuan, Sajjad Beygi, Maryam Fazel-Zarandi, Qiaozi Gao, Alessandra Cervone, William Yang Wang

ACL 2022findings

Users interacting with voice assistants today need to phrase their requests in a very specific manner to elicit an appropriate response. This limits the user experience, and is partly due to the lack of reasoning capabilities of dialogue platforms and the hand-crafted rules that require extensive la…

Cited by 31 Source ↗PDF ↗code ↗Scholar ↗