We are interested in bridging the world of natural language and the world of the semantic web in particular to support natural multilingual access to the web of data. In this paper we introduce a new type of lexical ontology called interlingual lexical ontology (ILexicOn), which uses semantic web formalisms to make each interlingual lexical unit class (ILU) support the projection of its semanti...

This poster presentation is the culmination of an extensive statistical study of Latin elegy. The notion that poetic sound represents a distinct layer of information where discrete patterns can be found is an intriguing one. In a theoretical context, sound captures a "metalanguage" that is universal to all discourse, but only exposed in poetry. This poster develops a model for metalanguage and ...

Metalanguage is an essential linguistic mechanism which allows us to communicate explicit information about language itself. However, it has been underexamined in research in language technologies, to the detriment of the performance of systems that could exploit it. This paper describes the creation of the first tagged and delineated corpus of English metalanguage, accompanied by an explicit d...

Subtyping is an important concept and used in many programming languages. One approach to give semantics to languages with subtypes is by translation to target languages without subtyping: Subtypings A ≤ B are interpreted via conversion functions A → B. This paper shows how to extend the method to languages with computational effects, using Moggi’s computational metalanguage.

One approach to give semantics to languages with subtypes is by translation to target languages without subtyping: subtypings A B are interpreted via conversion functions A→B. This paper shows how to extend the method to languages with computational effects, using Moggi’s computational metalanguage.

In this paper, an approach for understanding natural speech by means of two stochastic knowledge bases is presented: Within a given domain, the semantic model generates possible semantic structures, which are semantic representations close to the word level. Corresponding to such a semantic structure, the syntactic model generates word chains using hierarchical Hidden-MarkovModels. Integrated i...

We describe an approach to textual inference that improves alignments at both the typed dependency level and at a deeper semantic level. We present a machine learning approach to alignment scoring, a stochastic search procedure, and a new tool that finds deeper semantic alignments, allowing rapid development of semantic features over the aligned graphs. Further, we describe a complementary sema...

The aim of the present paper is to revisit some important topics regarding pedagogical issues on the teaching of concepts and techniques of programming languages and compiler construction. Essentially, a unified formal model is used in the proposed approach to explore the exposition of the students to a set of lessons with growing complexity, with a heavy practical component, all sharing the sa...

Semantic parsing involves deep semantic analysis that maps natural language sentences to their formal executable meaning representations. This is a challenging problem and is critical for developing user-friendly natural language interfaces to computing systems. Most of the research in natural language understanding, however, has mainly focused on shallow semantic analysis like case-role analys...