Author Q&A: Iyad Hussein

Qa@l2f@qa@clef

This paper introduces L2F’s (INESC-ID) question/answering system and presents its results in the QA@CLEF07 evaluation task. QA@LF bases its performance on a high-quality deep linguistic analysis of the question, which is strongly based on named entity recognition. However, if a precise analysis is not possible or if no answer is found in previous processed data, the system is also capable of re...

Author Index

Author Index

QA@L2F, Second Steps at QA@CLEF

This paper describes the participation of QA@LF, the question-answering system from LF/INESC-ID, at the QA track of CLEF in 2008. Making intensive use of a Natural Language Processing chain (which includes, among others, a morphological analyzer, a disambiguation module, a multi-word recognizer, a chunker and a named entities recognizer), QA@LF is based on a three module approach to answer ques...

UAIC Romanian QA System for QA@CLEF

This paper briefly describes UAIC’s participation in this year's CLEF question answering competition, focusing on the main challenges and changes compared to our last year participation. An analysis of the errors introduced by each module is also discussed.