research
∙
05/23/2023
μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge
Cross-lingual summarization consists of generating a summary in one lang...
share
research
∙
04/28/2023
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation
While conditional generation models can now generate natural language we...
research
∙
04/17/2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
Modern deep models for summarization attains impressive benchmark perfor...
research
∙
12/20/2022
mFACE: Multilingual Summarization with Factual Consistency Evaluation
Abstractive summarization has enjoyed renewed interest in recent years, ...
research
∙
12/20/2022
Little Red Riding Hood Goes Around the Globe:Crosslingual Story Planning and Generation with Large Language Models
We consider the problem of automatically generating stories in multiple ...
research
∙
10/31/2022
Query Refinement Prompts for Closed-Book Long-Form Question Answering
Large language models (LLMs) have been shown to perform well in answerin...
research
∙
09/30/2022
Calibrating Sequence likelihood Improves Conditional Language Generation
Conditional language models are predominantly trained with maximum likel...
research
∙
08/01/2022
SMART: Sentences as Basic Units for Text Evaluation
Widely used evaluation metrics for text generation either do not work we...
research
∙
07/01/2022
Conditional Generation with a Question-Answering Blueprint
The ability to convey relevant and faithful information is critical for ...
research
∙
03/28/2022
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation
We propose Composition Sampling, a simple but effective method to genera...
research
∙
09/22/2021
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
One of the most challenging aspects of current single-document news summ...
research
∙
05/25/2021
Focus Attention: Promoting Faithfulness and Diversity in Summarization
Professional summaries are written with document-level information, such...
research
∙
04/15/2021
Planning with Entity Chains for Abstractive Summarization
Pre-trained transformer-based sequence-to-sequence models have become th...
research
∙
02/02/2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
research
∙
10/06/2020
Stepwise Extractive Summarization and Planning with Structured Transformers
We propose encoder-centric stepwise models for extractive summarization ...
research
∙
05/02/2020
On Faithfulness and Factuality in Abstractive Summarization
It is well known that the standard likelihood training and approximate d...
research
∙
04/23/2020
QURIOUS: Question Generation Pretraining for Text Generation
Recent trends in natural language processing using pretraining have shif...
research
∙
10/19/2019
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation
Neural conditional text generation systems have achieved significant pro...
research
∙
07/29/2019
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Unsupervised pre-training of large neural models has recently revolution...
research
∙
07/19/2019
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks
We introduce 'extreme summarization', a new single-document summarizatio...
research
∙
06/04/2019
HighRES: Highlight-based Reference-less Evaluation of Summarization
There has been substantial progress in summarization research enabled by...
research
∙
04/03/2019
Jointly Extracting and Compressing Documents with Summary State Representations
We present a new neural model for text summarization that first extracts...
research
∙
04/03/2019
Jointly Extracting and Compressing Documentswith Summary State Representations
We present a new neural model for text summarization that first extracts...
research
∙
08/28/2018
Privacy-preserving Neural Representations of Text
This article deals with adversarial attacks towards deep learning system...
research
∙
08/27/2018
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
We introduce extreme summarization, a new single-document summarization ...
research
∙
02/23/2018
Ranking Sentences for Extractive Summarization with Reinforcement Learning
Single document summarization is the task of producing a shorter version...
research
∙
07/21/2017
Split and Rephrase
We propose a new sentence simplification task (Split-and-Rephrase) where...
research
∙
04/14/2017
Neural Extractive Summarization with Side Information
Most extractive summarization methods focus on the main body of the docu...
research
∙
06/07/2016
Optimizing Spectral Learning for Parsing
We describe a search algorithm for optimizing the number of latent state...
research
∙
01/22/2016
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing
One of the limitations of semantic parsing approaches to open-domain que...
research
∙
09/03/2015
Encoding Prior Knowledge with Eigenword Embeddings
Canonical correlation analysis (CCA) is a method for reducing the dimens...
research
∙
07/30/2015
