Nedim Lipka

Natural Language Processing · with Potthast · 2019

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 — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Nedim Lipka trusts overall

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

1. Chin-Yew Lin
2. Hoa Trang Dang

Papers from Nedim Lipka's perspective

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

1. ROUGE: A Package for Automatic Evaluation of Summaries
2. Evaluating Content Selection in Summarization: The Pyramid Method
3. A Neural Attention Model for Abstractive Sentence Summarization
4. Non-Expert Evaluation of Summarization Systems is Risky
5. Overview of DUC 2005
6. Generating Abstractive Summaries with Finetuned Language Models
7. Content Selection in Deep Learning Models of Summarization
8. The limits of automatic summarisation according to ROUGE
9. GloVe: Global Vectors for Word Representation
10. Bleu: a Method for Automatic Evaluation of Machine Translation

Their papers

• Towards Summarization for Social Media - Results of the TL;DR Challenge (2019) — 7 citations