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cs.CL2020
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem
Raphael Schumann, Stefan Riezler
Car-focused navigation services are based on turns and distances of named streets, whereas navigation instructions naturally used by humans are centered around physical objects cal…
cs.CL2020
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
Raphael Schumann, Lili Mou, Yao Lu +2
Automatic sentence summarization produces a shorter version of a sentence, while preserving its most important information. A good summary is characterized by language fluency and…
cs.CL2018
Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder
Raphael Schumann
In this work we present an unsupervised approach to summarize sentences in abstractive way using Variational Autoencoder (VAE). VAE are known to learn a semantically rich latent va…