Michal Shmueli-Scheuer

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 10 citations into it

Whom Michal Shmueli-Scheuer trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chin-Yew Lin (in Natural Language Processing)
2. Peter J. Liu (in Natural Language Processing)

Papers from Michal Shmueli-Scheuer's perspective

Ordered by how strongly the researchers Michal Shmueli-Scheuer trusts endorse each paper. Same corpus, a different order for every researcher.

1. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
2. ROUGE: A Package for Automatic Evaluation of Summaries
3. Get To The Point: Summarization with Pointer-Generator Networks
4. Character-level Convolutional Networks for Text Classification
5. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
6. SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents
7. Least squares quantization in PCM
8. Text Summarization with Pretrained Encoders
9. BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization
10. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise

Their papers

• Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm (2020) — 46 citations