TY  - JOUR
T1  - A Multiple Knowledge Sources Algorithm for Anaphora Resolution
AU - , Allaoua Refoufi 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 1
SP  - 48
EP  - 53
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.48.53
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.48.53
KW  - Anaphora
KW  -syntax
KW  -semantics
KW  -reference
KW  -focused entities
AB  - This study presents a new algorithm for the resolution of anaphoric expressions which uses a few ideas largely accepted by the scientific community in computational linguistics as part of the resolution process. The algorithm driven by a robust morphosyntactic parser uses a set of constraints, which the candidates must not violate, as well as a set of preferences which discriminate among them. We also incorporate the notion of focused entities, and eliminate from further consideration entities included in insertions. The algorithm, written in Prolog, uses Definite Clause Grammars (DCG) for the implementation of the parser as well as the constraints and the preferences. Finally we discuss the results and the efficiency of the algorithm in light of related work in the field.
ER  -