C4.5: programs for machine learning
C4.5: programs for machine learning
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Statistical language understanding using frame semantics
Statistical language understanding using frame semantics
| Hi-index | 0.00 |
If information extraction wants to make its results more accurate, it will have to resort increasingly to a coherent implementation of natural language semantics. In this paper, we will focus on the extraction of semantic case roles from texts. After setting the essential theoretical framework, we will argue that it is possible to detect case roles on the basis of morphosyntactic and lexical surface phenomena. We will give a concise overview of our methodology and of a preliminary test that seems to confirm our hypotheses.