Метод на основе правил

This paper presents a semantically oriented, rule based method for single sentence text generation and discusses its implementation in the Kafka generator. This generator is part of the XCALIBUR natural …...

. This paper presents a hybrid method for extracting Chinese noun phrase collocations that combines a statistical model with rule-based linguistic knowledge. The algorithm first extracts all the noun phrase …...

The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Sum- marisation. In this paper, we …...

Relations between entities in text have been widely researched in the natu- ral language processing and information- extraction communities. The region con- necting a pair of entities (in a parsed …...

Pairwise coreference resolution models must merge pairwise coreference decisions to gen- erate final outputs. Traditional merging meth- ods adopt different strategies such as the best- first method and enforcing the …...

AbstractIn this paper we describe an effort to create a corpus and phonetic dictionary for Tunisian Arabic Automatic Speech Recognition (ASR). The corpus, named TARIC (Tunisian Arabic Railway Interaction Corpus) …...

Identification of prepositional phrases (PP) has been an issue in the field of Natural Language Processing (NLP). In this paper, towards Chinese patent texts, we present a rule-based method and …...

AbstractIn this paper we present a rule-based method for multi-word term extraction that relies on extensive lexical resources in the form of electronic dictionaries and finite-state transducers for modelling various …...

In this paper we present a word decom- pounding method that is based on distribu- tional semantics. Our method does not re- quire any linguistic knowledge and is initial- ized …...

AbstractIn this paper we present a novel rule-based, language independent method for determining lexical entailment relations using semantic representations built from Wiktionary definitions. Combined with a simple WordNet-based method our …...

AbstractLegal texts are often difficult to interpret, and people who interpret them need to make choices about the interpretation. To improve transparency, the interpretation of a legal text can be …...

AbstractAutomatic generation of questions from text has gained increasing attention due to its useful applications. We propose a novel question generation method that combines the benefits of rule-based and neural …...