Kapil Thadani

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #25,269 of 35,345 by trust here, #28,481 by citations
• Natural Language Processing — 10 citations into it; #4,200 of 5,688 by trust here, #4,983 by citations

Whom Kapil Thadani trusts overall

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

1. Chin-Yew Lin
2. Michael Collins
3. D. Gillick
4. Jaime G. Carbonell
5. Taylor Berg-Kirkpatrick
6. Lynn Carlson
7. Kai Hong

Who trusts Kapil Thadani overall

1. Romain Paulus
2. Asli Celikyilmaz
3. Faisal Ladhak
4. Wojciech Kryscinski
5. Caiming Xiong

Papers from Kapil Thadani's perspective

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

1. ROUGE: A Package for Automatic Evaluation of Summaries
2. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
3. A Scalable Global Model for Summarization (International Conference on Inductive Logic Programming)
4. A Class of Submodular Functions for Document Summarization
5. Jointly Learning to Extract and Compress
6. Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory (SIGDIAL Workshop)
7. Toward Abstractive Summarization Using Semantic Representations
8. Automatic summarization of English broadcast news speech
9. The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries
10. Long Short-Term Memory

Their papers

• The Role of Discourse Units in Near-Extractive Summarization (2016) — 64 citations