Stefan Henß

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Natural Language Processing — 7 citations into it; #2,543 of 5,688 by trust here, #5,092 by citations

Whom Stefan Henß trusts overall

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

1. Chin-Yew Lin
2. Jerome H. Friedman
3. Philip Resnik
4. Günes Erkan
5. Cody Rioux
6. Dragomir R. Radev
7. Sadid A. Hasan
8. Richard S. Sutton
9. Sadaoki Furui

Who trusts Stefan Henß overall

1. Yang Gao
2. Brielen Madureira
3. Yen-Chun Chen
4. Shay B. Cohen
5. Christian M. Meyer
6. Mohit Bansal
7. Iryna Gurevych
8. Mirella Lapata
9. David Schlangen
10. Yuxiang Wu

Papers from Stefan Henß's perspective

Ordered by how strongly the researchers Stefan Henß trusts endorse each paper. Same corpus, a different order for every researcher.

1. ROUGE: A Package for Automatic Evaluation of Summaries
2. Advances in Automatic Text Summarization (Information retrieval (Boston))
3. Stochastic gradient boosting
4. A new readability yardstick.
5. LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
6. Fast gradient-descent methods for temporal-difference learning with linear function approximation
7. GloVe: Global Vectors for Word Representation
8. Looking for a Few Good Metrics: Automatic Summarization Evaluation - How Many Samples Are Enough?
9. Automatic summarization of English broadcast news speech
10. Information Theory: 1948-1998 - Guest Editorial

Their papers

• A Reinforcement Learning Approach for Adaptive Single- and Multi-Document Summarization (2015) — 23 citations