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20182022
most citedFew-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data

2 citations · 3 across the 2 of their papers we have counts for

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cs.CL20221 cited

Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization

Sanjeev Kumar Karn, Ning Liu, Hinrich Schuetze +1

The IMPRESSIONS section of a radiology report about an imaging study is a summary of the radiologist's reasoning and conclusions, and it also aids the referring physician in confir…

cs.CL20212 cited

Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data

Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen +2

Interleaved texts, where posts belonging to different threads occur in a sequence, commonly occur in online chat posts, so that it can be time-consuming to quickly obtain an overvi…

cs.CL2019

A Hierarchical Decoder with Three-level Hierarchical Attention to Generate Abstractive Summaries of Interleaved Texts

Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen +2

Interleaved texts, where posts belonging to different threads occur in one sequence, are a common occurrence, e.g., online chat conversations. To quickly obtain an overview of such…

cs.CL2018

News Article Teaser Tweets and How to Generate Them

Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger +1

In this work, we define the task of teaser generation and provide an evaluation benchmark and baseline systems for the process of generating teasers. A teaser is a short reading su…

cs.CL2018

Neural Architectures for Open-Type Relation Argument Extraction

Benjamin Roth, Costanza Conforti, Nina Poerner +2

In this work, we introduce the task of Open-Type Relation Argument Extraction (ORAE): Given a corpus, a query entity Q and a knowledge base relation (e.g.,"Q authored notable work…