Martin Ramsl und Michael Strube - Info zur Person

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Social Data Analytics - Seite Google Books-Ergebnisseitegoogle.com

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[477] Daraksha Parveen, Hans-Martin Ramsl and Michael Strube. Topical coherence for graph-based extractive summarization. In Proceedings of the

Hybrid MemNet for Extractive SummarizationarXiv

arxiv.org

von AK Singh · · Zitiert von: 16 — on Research and Development in Information Retrieval. ACM, 573–580. [15] Daraksha Parveen, Hans-Martin Ramsl, and Michael Strube Topical. Coherence for ...

A Neural Abstractive Summarization Model Guided with ...Australian Journal of Intelligent Information Processing Systems

ajiips.com.au

von K Chen — Daraksha Parveen, Hans-Martin Ramsl, and Michael Strube Topical coherence for graph-based extractive summa- rization. In Proceedings of the

Hybrid MemNet for Extractive SummarizationIIIT Hyderabad

web2py.iiit.ac.in

von AK Singh · · Zitiert von: 16 — [15] Daraksha Parveen, Hans-Martin Ramsl, and Michael Strube Topical. Coherence for Graph-based Extractive Summarization.

Topical Sentence Embedding for Query Focused ...CEUR-WS

ceur-ws.org

von Y Gao — Daraksha Parveen, Hans-Martin Ramsl, and. Michael Strube. Topical coherence for graph- based extractive summarization. In Proceed-.

Alle Infos zum Namen "Martin Ramsl"

Daraksha Parveen's research worksResearchGate

www.researchgate.net

Daraksha Parveen · Hans-Martin Ramsl · Michael Strube · View ... Then the situational stream is put to summarization module. For rundown, they developed a ...

Unsupervised Summarization with Customized GranularitiesMicrosoft

www.microsoft.com

von M Zhong · Zitiert von: 7 — [38] Daraksha Parveen, Hans-Martin Ramsl, and Michael Strube Topical co- herence for graph-based extractive summarization.

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Martin Ramsl und Michael Strube Person-Info