Jai Desai

Natural Language Processing · 2021

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

Subfields

• Natural Language Processing — 20 citations into it

Whom Jai Desai trusts

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

1. Chin-Yew Lin (in Natural Language Processing)

Papers from Jai Desai's perspective

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

1. ROUGE: A Package for Automatic Evaluation of Summaries
2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
3. Faithful to the Original: Fact Aware Neural Abstractive Summarization
4. The AMI meeting corpus
5. Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
6. QuestEval: Summarization Asks for Fact-based Evaluation
7. SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
8. Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
9. QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
10. Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation

Their papers

• CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning (2021) — 72 citations