Aggregation in Natural Language Generation: Another Look

نویسنده

  • John Wilkinson
چکیده

Aggregation is gaining attention as an important phenomenon in automated natural language generation. The small quantity of previous work which deals with this subject suuers from some conceptual diiculties, including inadequate deenition (i.e., as a process which eliminates redundancy), vagueness as to its locus in the generation process, and unclear relation to other phenomena. It is concluded here that aggregation is best seen as an emergent phenomenon which results from careful sentence planning. This view draws attention to the processes of semantic grouping, sentence structuring, and sentence delim-itation which together underlie aggregation eeects. Within the framework of the HealthDoc project, an attempt to develop systems for automatic patient text customization, the application of the above perspective is considered.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Efficient algorithm for Context Sensitive Aggregation in Natural Language generation

Aggregation is a sub-task of Natural Language Generation (NLG) that improves the conciseness and readability of the text outputted by NLG systems. Till date, approaches towards the aggregation task have been predominantly manual (manual analysis of domain specific corpus and development of rules). In this paper, a new algorithm for aggregation in NLG is proposed, that learns context sensitive a...

متن کامل

Aggregation in the NL-generator of the Visual and Natural language Specification Tool

In this paper we show how to use the socalled aggregation technique to remove redundancies in the fact base of the Visual and Natural language Specification Tool (VINST). The current aggregation modules of the natural language generator of VINST is described and an improvement is proposed with one new aggregation rule and a bidirectional grammar.

متن کامل

Aggregation 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 کامل

Aggregation Improves Learning: Experiments in Natural Language Generation for Intelligent Tutoring Systems

To improve the interaction between students and an intelligent tutoring system, we developed two Natural Language generators, that we systematically evaluated in a three way comparison that included the original system as well. We found that the generator which intuitively produces the best language does engender the most learning. Specifically, it appears that functional aggregation is respons...

متن کامل

Neural-based Natural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregation

Natural language generation (NLG) is an important component in spoken dialogue systems. This paper presents a model called Encoder-Aggregator-Decoder which is an extension of an Recurrent Neural Network based Encoder-Decoder architecture. The proposed Semantic Aggregator consists of two components: an Aligner and a Refiner. The Aligner is a conventional attention calculated over the encoded inp...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1995