1.3k citations · 1.9k across the 3 of their papers we have counts for
4 papers
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
Andre Esteva, Anuprit Kale, Romain Paulus +4
The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related…
Improving Abstraction in Text Summarization
Wojciech Kryściński, Romain Paulus, Caiming Xiong +1
Abstractive text summarization aims to shorten long text documents into a human readable form that contains the most important facts from the original document. However, the level…
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus, Caiming Xiong, Richard Socher
Attentional, RNN-based encoder-decoder models for abstractive summarization have achieved good performance on short input and output sequences. For longer documents and summaries h…
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Ankit Kumar, Ozan Irsoy, Peter Ondruska +6
Most tasks in natural language processing can be cast into question answering (QA) problems over language input. We introduce the dynamic memory network (DMN), a neural network arc…