This paper describes some operational aspects of a language comprehension model which unifies the linguistic theory and the semantic theory in respect to operations. The computational model, called Augmented Dependency Grammar (ADG), formulates not only the linguistic dependency structure of sentences but also the semantic dependency structure using the extended deep case grammar and fleld-orie...

A key challenge of designing coherent semantic ontology for spoken language understanding is to consider inter-slot relations. In practice, however, it is difficult for domain experts and professional annotators to define a coherent slot set, while considering various lexical, syntactic, and semantic dependencies. In this paper, we exploit the typed syntactic dependency theory for unsupervised ...

This thesis is an investigation of phenomena at the interface between syntax, semantics, and pragmatics, with the aim of arguing for a view of semantic interpretation as lexicallydriven yet contextually dependent. I examine regular, generative processes which operate over the lexicon to induce verbal sense shifts, and discuss the interaction of these processes with the linguistic or discourse c...

We investigate learning dependency grammar from positive data, in Gold's identification in the limit model. Examples are dependency trees. For this, we introduce reversible lexical dependency grammars which generate a significant class of languages. We have demonstrated that reversible dependency languages are learnable. We provide a-time, in the example size, algorithm. Our objective is to con...

In this paper we present Dependency State Machines, an annotation language that extends AspectJ with finite-state machines that define the order in which pieces of advice must execute to have a visible effect. Dependency State Machines facilitate the automatic verification and optimization of aspects, but also program understanding. In this work we present the syntax and semantics of Dependency...

Aim: To verify the degree of dependency on nursing care on the part of hospitalized elderly inside a clinical practice unit by using the Perrocas’ System for Patient Classification. Methods: a cross sectional study, undertaken with 112 elderly patients in a clinical practice unit at a teaching hospital at João Pessoa/PB. Results: It was observed that most elderly patients presented a high level...

Spoken language understanding (SLU) aims to map a user’s speech into a semantic frame. Since most of the previous works use the semantic structures for SLU, we verify that the structure is useful even for noisy input. We apply a structured prediction method to SLU problem and compare it to an unstructured one. In addition, we present a combined method to embed long-distance dependency between e...

In applications of spoken monologue processing such as simultaneous machine interpretation and real-time captions generation, incremental language parsing is strongly required. This paper proposes a technique for incremental dependency parsing of Japanese spoken monologue on a clause-by-clause basis. The technique identifies the clauses based on clause boundaries analysis, analyzes the dependen...