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05/17/2022
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning
Sentence compression reduces the length of text by removing non-essentia...
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06/15/2020
DynE: Dynamic Ensemble Decoding for Multi-Document Summarization
Sequence-to-sequence (s2s) models are the basis for extensive work in na...
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05/20/2020
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal
Multi-document summarization (MDS) aims to compress the content in large...
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07/14/2019
Task Selection Policies for Multitask Learning
One of the questions that arises when designing models that learn to sol...
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06/24/2019
Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models
We study several methods for full or partial sharing of the decoder para...
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11/06/2018
Off-the-Shelf Unsupervised NMT
We frame unsupervised machine translation (MT) in the context of multi-t...
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05/20/2018
Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models
This work presents a new state of the art in reconstruction of surface r...
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06/15/2017
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality Estimation
This work presents a novel approach to Automatic Post-Editing (APE) and ...
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04/24/2017
