Muath Alzghool


2023

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Question Generation Using Sequence-to-Sequence Model with Semantic Role Labels
Alireza Naeiji | Aijun An | Heidar Davoudi | Marjan Delpisheh | Muath Alzghool
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Automatic generation of questions from text has gained increasing attention due to its useful applications. We propose a novel question generation method that combines the benefits of rule-based and neural sequence-to-sequence (Seq2Seq) models. The proposed method can automatically generate multiple questions from an input sentence covering different views of the sentence as in rule-based methods, while more complicated “rules” can be learned via the Seq2Seq model. The method utilizes semantic role labeling to convert training examples into their semantic representations, and then trains a Seq2Seq model over the semantic representations. Our extensive experiments on three real-world data sets show that the proposed method significantly improves the state-of-the-art neural question generation approaches.

2008

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Combining Multiple Models for Speech Information Retrieval
Muath Alzghool | Diana Inkpen
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

In this article we present a method for combining different information retrieval models in order to increase the retrieval performance in a Speech Information Retrieval task. The formulas for combining the models are tuned on training data. Then the system is evaluated on test data. The task is particularly difficult because the text collection is automatically transcribed spontaneous speech, with many recognition errors. Also, the topics are real information needs, difficult to satisfy. Information Retrieval systems are not able to obtain good results on this data set, except for the case when manual summaries are included.

2006

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Investigating Cross-Language Speech Retrieval for a Spontaneous Conversational Speech Collection
Diana Inkpen | Muath Alzghool | Gareth Jones | Douglas Oard
Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers