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Litton J Kurisinkel

2 accepted papers

2022

Tractable & Coherent Multi-Document Summarization: Discrete Optimization of Multiple Neural Modeling Streams via Integer Linear Programming

EMNLP 2022industry

One key challenge in multi-document summarization is the generated summary is often less coherent compared to single document summarization due to the larger heterogeneity of the input source content. In this work, we propose a generic framework to jointly consider coherence and informativeness in m…

Cited by 1SourcePDFScholar
2021

Coherent and Concise Radiology Report Generation via Context Specific Image Representations and Orthogonal Sentence States

NAACL 2021industry

Neural models for text generation are often designed in an end-to-end fashion, typically with zero control over intermediate computations, limiting their practical usability in downstream applications. In this work, we incorporate explicit means into neural models to ensure topical continuity, infor…

Cited by 2SourcePDFScholar