A system for analyzing and generating Italian texts is under development at the IBM Rome Scientific Center. Detailed semantic knowledge on word-sense patterns is used to relate the linguistic structure of a sentence to a conceptue representation (a conceptual graph). Conceptual graphs are stored in a database and accessed by a natural-language query/answering module. The system analyzes a text ...

Semantic relations between text concepts denote the core elements of lexical semantics. This paper presents a model for the automatic detection of INTENTION semantic relation. Our approach first identifies the syntactic patterns that encode intentions, then we select syntactic and semantic features for a SVM learning classifier. In conclusion, we discuss the application of INTENTION relations t...

1. Coordination: basic concepts and terms 1.1. Coordination 1.2. Basic patterns 1.3. Semantic types of coordination 2. The position of the coordinator(s) 3. Category-sensitivity of coordinating constructions 4. Semantic distinctions in conjunction 5. From comitative to conjunctive marker 6. Semantic maps 7. Inclusory constructions 8. Disjunction 9. Extraction from coordinating constructions 10....

Identifying relevant papers from the literature is a common task in biocuration. Most current biomedical literature search systems primarily rely on matching user keywords. Semantic search, on the other hand, seeks to improve search accuracy by understanding the entities and contextual relations in user keywords. However, past research has mostly focused on semantically identifying biological e...

• Linguistic: induce semantic frame and syntactic dependency-based patterns that aim to capture the meaning of a sentence and use them as features • Extra-linguistic: improve the classification of a test post by exploiting the information in other test posts that are likely to have the same stance Aim: improve a learner’s ability to generalize by inducing patterns based on semantic frames and u...

The paper present preview of ontology of ontology design patterns and transformation patterns being developed as support tool for emerging ontology design techniques and methodologies. The Linked Data initiative was started by Tim Berners-Lee as an architectural vision for the Semantic Web. It explores the idea of Semantic Web as puting emphasis on making links so both people and machines can e...

The constant increase of moving object data imposes the need for modeling, processing, and mining trajectories, in order to find and understand the patterns behind these data. Existing works have mainly focused on the geometric properties of trajectories, while the semantics and the background geographic information has rarely been addressed. We claim that meaningful patterns can only be extrac...

Japanese has many noun phrase patterns of the type A no B consisting of two nouns A and B with an adnominal particle no. As the semantic relations between the two nouns in the noun phrase are not made explicit, the interpretation of the phrases depends mainly on the semantic characteristics of the nouns. This paper describes the semantic diversity of A no B and a method of semantic analysis for...

A semantic network or net is a graph structure for representing knowledge in patterns of interconnected nodes and arcs. Computer implementations of semantic networks were first developed for artificial intelligence and machine translation, but earlier versions have long been used in philosophy, psychology, and linguistics. The Giant Global Graph of the Semantic Web is a large semantic network (...

User-generated travelogues can generate much geographic data, containing abundant semantic and geographic information that reflects people’s movement patterns. The tourist movement patterns in travelogues can help others when planning trips, or understanding how people travel within certain regions. The trajectory data in travelogues might include tourist attractions, restaurants and other loca...