Генерация предложений

This paper discussers general hem'istics to control computation on symbolic constraints represented in terms of first-order logic programs. These heuristics are totally independen! of specific domains and tasks. Efficient computation …...

A considerable amount of study has recently been concentrated on the use of linguistically motivated unification based grammars for sen- tence generation (see for example Appelt 1987, Calder 1989, Shieber …...

We describe a method for generating sentences from “keywords” or “headwords”. This method consists of two main parts, candidate-text con- struction and evaluation. The construction part generates text sentences in …...

This paper describes a novel instance- based sentence boundary determination method for natural language generation that optimizes a set of criteria based on examples in a corpus. Compared to exist- …...

We translate sentence generation from TAG grammars with semantic and pragmatic in- formation into a planning problem by encod- ing the contribution of each word declara- tively and explicitly. This …...

If intelligent systems are to interact with humans in a natural manner, the ability to describe daily life activities is impor- tant. To achieve this, sensing human ac- tivities by …...

AbstractThis paper studies the abstractive multi-document summarization for event-oriented news texts through event information extraction and abstract representation. Fine-grained event mentions and semantic relations between them are extracted to build …...

AbstractThis paper presents a collection to assess meaning components in German complex verbs, which frequently undergo meaning shifts. We use a novel strategy to obtain source and target domain characterisations …...

AbstractRecently, many KB-to-text generation tasks have been proposed to bridge the gap between knowledge bases and natural language by directly converting a group of knowledge base triples into human-readable sentences. …...

AbstractLearning disentangled representations of textual data is essential for many natural language tasks such as fair classification, style transfer and sentence generation, among others. The existent dominant approaches in the …...

AbstractAtomic clauses are fundamental text units for understanding complex sentences. Identifying the atomic sentences within complex sentences is important for applications such as summarization, argument mining, discourse analysis, discourse parsing, …...

There are two types of datasets for data-to- text: one uses raw data obtained in the real world, and the other is constructed artificially for a controlled task. A straightforwardly …...