The Resource Space Model RSM and Semantic Link Network SLN are models of future interconnection environment, and the combination of them forms a rich semantic layer for the next-generation web. This paper investigates the combination between RSM and SLN. The methods of the transformation between RSM and SLN are proposed. From the perspective of transformation, the correlations between the norma...

Current knowledge systems lack an effective architecture to bridge the well-acknowledged gap between flexibility and rigidity users’ preference of flexible expression and machine’s need for rigorous representation. This paper focuses on finding an adequate set of relationship types (or link types) and map flexible expressions from users to link types in propositional knowledge systems, in which...

A Semantic Link Network (SLN) consists of nodes (entities, features, concepts, schemas or communities) and semantic links between nodes. This paper proposes an autonomous Semantic Link Network formalism to support intelligent applications on large-scale network. The formalism integrates the SLN logical reasoning with the SLN analogical reasoning and the SLN inductive reasoning as well as existi...

One of the reasons for the popularity of dependency approaches in recent computational linguistics is their ability to efficiently derive the core functorargument structure of a sentence as an interface to semantic interpretation. Exploring this feature of dependency structures further, in this paper we show how basic dependency representations can be mapped to semantic representation as used i...

In this paper, a novel semantic role labeler based on dependency trees is developed. This is accomplished by formulating the semantic role labeling as a classification problem of dependency relations into one of several semantic roles. A dependency tree is created from a constituency parse of an input sentence. The dependency tree is then linearized into a sequence of dependency relations. A nu...

This paper provides a uniform semantic framework for Topic-Comment Structures in Chinese. It is assumed that the topic element relates to an anaphor occuring in the comment. The comment which contains an unresolved anaphor is semantically underspecified. The semantic interpretation of topic-comment constructions results from the resolution of the anaphoric relation between topic and comment. In...

We introduce two ways to detect entailment using distributional semantic representations of phrases. Our first experiment shows that the entailment relation between adjective-noun constructions and their head nouns (big cat |= cat), once represented as semantic vector pairs, generalizes to lexical entailment among nouns (dog |= animal). Our second experiment shows that a classifier fed semantic...

We construct a list of binary semantic relations that combines three lists recognized at different syntactic levels { multi-clause sentences, clauses, noun phrases. We identify relations that are the same at diierent levels and represent them in a level-independent way. We base our construction on the fact that many syntactic variants express the same idea, and a linguistic expression displayin...

1Universität Stuttgart, 2Columbia University, 3University of Southern California Abstract We investigate formalisms for capturing the relation between semantic graphs and English strings. Semantic graph corpora have spurred recent interest in graph transduction formalisms, but it is not yet clear whether such formalisms are a good fit for natural language data—in particular, for describing how ...

In this paper we show how a vector representation of words based on word embeddings can help to improve the results in tasks focused on the semantic similarity of texts. Thus we have experimented with two methods that rely on the vector representation of words to calculate the degree of similarity of two texts, one based on the aggregation of vectors and the other one based on the calculation o...