Introduction to Selection Driven Query Focused Abstractive Document Summarization
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Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with
ECIR2020 298 Neural Query-biased Abstractive Summarization Using Copying Mechanism
Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries
Abstractive Document Summarization with a Graph Based Attentional Neural Model | ACL 2017
Attention History based Attention for Abstractive Text Summarization-YunSeok Choi (ACM-SAC 2020)
Search, Question Mode, and Multi-document Summarisation
Paper ID 63 - Query Focused Multi Document Text Summarization using Fuzzy Inference
(AIDECK)Abstractive summarization short cut
【NAACL 2022】Improving Multi-Document Summarization through Referenced Flexible Extraction with...
Query based Abstractive Summarization with Diversity Model
Entity-level Factual Consistency of Abstractive Text Summarization (Research Paper Walkthrough)
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Last Updated: September 18, 2026
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Yllias Chali (University of Lethbridge) and Chudamani Aryal (University of Lethbridge). The current encode-attend-decode ... Bio: Diogo Pernes received his MSc. in Electrical and Computer Engineering from the University of Porto, and completed his PhD ... Stay Connected! Get the latest insights on Artificial Intelligence (AI) , Natural Language Processing (NLP) , and Large ... Md Tahmid Rahman Laskar (York University), Enamul Hoque (York University) and Jimmy Huang (York University). In the Authors: Yizhu Liu, Qi Jia, Kenny Zhu. Title : Attention History based Attention for A brief overview on the new search functionality in genei, which now includes question answering mode and multi- LKE 2021 | 8th International Symposium on Language & Knowledge Engineering. Area: Language engineering. Topic: User ... textsummarization This research proposes a set of simple metrics to quantify factual consistency at the entity-level.
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