Clause Aggregation: An Approach to Generating Concise Text
نویسنده
چکیده
منابع مشابه
Clause Aggregation Using Linguistic Knowledge
By combining multiple clauses into one single sentence, a text generation system can express the same amount of information in fewer words and at the same time, produce a great variety of complex constructions. In this paper, we describe hypotactic and paratactic operators for generating complex sentences from clause-sized semantic representations. These two types of operators are portable and ...
متن کاملAggregation via Set Partitioning for Natural Language Generation
The role of aggregation in natural language generation is to combine two or more linguistic structures into a single sentence. The task is crucial for generating concise and readable texts. We present an efficient algorithm for automatically learning aggregation rules from a text and its related database. The algorithm treats aggregation as a set partitioning problem and uses a global inference...
متن کاملExtraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency
Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in t...
متن کاملA Corpus-based Analysis for the Ordering of Clause Aggregation Operators
To better understand the ordering of clause aggregation operators in a text generation application, we manually annotated a small corpus. The annotated corpus supports the preferred ordering of transformations that result in shorter surface expressions, such as adjectives over relative clauses. In addition, we were able to explain why paratactic operators are applied before and after hypotactic...
متن کاملInverting Grice's Maxims to Learn Rules from Natural Language Extractions
We consider the problem of learning rules from natural language text sources. These sources, such as news articles and web texts, are created by a writer to communicate information to a reader, where the writer and reader share substantial domain knowledge. Consequently, the texts tend to be concise and mention the minimum information necessary for the reader to draw the correct conclusions. We...
متن کامل