OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization

1 code implementation • 7 Dec 2023 • Shmuel Amar, Liat Schiff, Ori Ernst, Asi Shefer, Ori Shapira, Ido Dagan

To advance research on more realistic scenarios, we introduce OpenAsp, a benchmark for multi-document \textit{open} aspect-based summarization.

Document Summarization Multi-Document Summarization

SummHelper: Collaborative Human-Computer Summarization

no code implementations • 16 Aug 2023 • Aviv Slobodkin, Niv Nachum, Shmuel Amar, Ori Shapira, Ido Dagan

Current approaches for text summarization are predominantly automatic, with rather limited space for human intervention and control over the process.

Text Summarization

Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference

1 code implementation • Joint Conference on Lexical and Computational Semantics 2021 • Ohad Rozen, Shmuel Amar, Vered Shwartz, Ido Dagan

Our approach facilitates learning generic inference patterns requiring relational knowledge (e. g. inferences related to hypernymy) during training, while injecting on-demand the relevant relational facts (e. g. pangolin is an animal) at test time.