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Joseph Peper

3 accepted papers

2024

PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization

NAACL 2024long

We investigate pre-training techniques for abstractive multi-document summarization (MDS), which is much less studied than summarizing single documents. Though recent work has demonstrated the effectiveness of highlighting information salience for pre-training strategy design, they struggle to gener…

2022

Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure

EMNLP 2022finding

Generative models have demonstrated impressive results on Aspect-based Sentiment Analysis (ABSA) tasks, particularly for the emerging task of extracting Aspect-Category-Opinion-Sentiment (ACOS) quadruples. However, these models struggle with implicit sentiment expressions, which are commonly observe…

2022

One Agent To Rule Them All: Towards Multi-agent Conversational AI

ACL 2022findings

The increasing volume of commercially available conversational agents (CAs) on the market has resulted in users being burdened with learning and adopting multiple agents to accomplish their tasks. Though prior work has explored supporting a multitude of domains within the design of a single agent, t…