FROM LEXICAL COHESION TO TEXTUAL COHERENCE: A DATA DRIVEN PERSPECTIVE
Sanda M. Harabagiu · International Journal of Pattern Recognition and Artificial Intelligence · 1999
This paper presents research that connects the cohesion structure of a text to the derivation of its coherence structure. Two different algorithms that derive the cohesion structure in the form of lexical paths from large thesauri are illustrated. Their results are correlated with (1) cue phrases of discourse usage and (2) coherence constraints empirically derived. A novel model of coherence structure is devised, based on the data provided by lexical paths from real world texts.