Add to ORKGInternational audienceSentence compression involves selecting key information present in the input and rewriting this information into a short, coherent text. Using the Gigaword corpus, we provide a detailed investigation of how syntax can help guide both extractive and abstractive sentence compression. We explore different ways of selecting subtrees from the dependency structure of the input sentence; compare the results of various models and show that preselecting information based on syntax yields promising results
The popularity of text summarization (TS) in the NLP community has been steadily increasing in recen...
Structured representations are ubiquitous in natural language processing as both the prod-uct of tex...
Sentence compression is the task of compressing a long sentence into a short one by deleting redunda...
Sentence compression is the task of producing a summary of a single sentence. The compressed sentenc...
Sentence compression is the task of producing a summary of a single sentence. The compressed sentenc...
AbstractWhen humans produce summaries of documents, they do not simply extract sentences and concate...
AbstractWhen humans produce summaries of documents, they do not simply extract sentences and concate...
Institute for Communicating and Collaborative SystemsIn this thesis we develop models for sentence c...
In this thesis we develop models for sentence compression. This text rewriting task has recently att...
International audienceThe originality of this work leads in tackling text compression using an unsup...
In this thesis we develop models for sentence compression. This text rewriting task has recently att...
Cette étude présente une nouvelle approche pour la génération automatique de résumés, un des princip...
In this talk we introduce the sentence compression task, which can be viewed as producing a summary...
The popularity of text summarization (TS) in the NLP community has been steadily increasing in recen...
Structured representations are ubiquitous in natural language processing as both the product of text...
The popularity of text summarization (TS) in the NLP community has been steadily increasing in recen...
Structured representations are ubiquitous in natural language processing as both the prod-uct of tex...
Sentence compression is the task of compressing a long sentence into a short one by deleting redunda...
Sentence compression is the task of producing a summary of a single sentence. The compressed sentenc...
Sentence compression is the task of producing a summary of a single sentence. The compressed sentenc...
AbstractWhen humans produce summaries of documents, they do not simply extract sentences and concate...
AbstractWhen humans produce summaries of documents, they do not simply extract sentences and concate...
Institute for Communicating and Collaborative SystemsIn this thesis we develop models for sentence c...
In this thesis we develop models for sentence compression. This text rewriting task has recently att...
International audienceThe originality of this work leads in tackling text compression using an unsup...
In this thesis we develop models for sentence compression. This text rewriting task has recently att...
Cette étude présente une nouvelle approche pour la génération automatique de résumés, un des princip...
In this talk we introduce the sentence compression task, which can be viewed as producing a summary...
The popularity of text summarization (TS) in the NLP community has been steadily increasing in recen...
Structured representations are ubiquitous in natural language processing as both the product of text...
The popularity of text summarization (TS) in the NLP community has been steadily increasing in recen...
Structured representations are ubiquitous in natural language processing as both the prod-uct of tex...
Sentence compression is the task of compressing a long sentence into a short one by deleting redunda...