Towards the Selection of Induced Syntactic Relations

Mapping Syntactic Dependencies onto Semantic Relations

This paper presents a corpus-based method for extracting semantic relations between words. The method is based on two sequential procedures. First, it automatically classifies syntactic dependencies according to their selection restrictions. Those dependencies that require the same selection restrictions are put together into the same semantic group. Then, interpretation rules are applied on th...

Towards Establishing an Inventory of Surface-Syntactic Relations: Valency-Controlled Surface-Syntactic Dependents of the Verb in French

برچسب‌زنی نقش معنایی جملات فارسی با رویکرد یادگیری مبتنی بر حافظه

Abstract Extracting semantic roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a semantic role labeling system for Persian, using memory-based learning model and standard features. Our proposed system implements a two-phase architecture to first identify...

Exploiting Semantic Information for HPSG Parse Selection

In this paper we present a framework for experimentation on parse selection using syntactic and semantic features. Results are given for syntactic features, dependency relations and the use of semantic classes.

Extraction et regroupement de descripteurs morpho-syntaxiques pour des processus de Fouille de Textes

Words are one of the grounds of European languages. Corpora written with these languages are normallydescribe by words. However, extracted information given by words is semantically poor. Actually, totake into account the complexity of European languages are really important. As a result, we propose inthis thesis to feature the characteristic of European languages by using synta...