Recent studies have shown promising results of using BERT for Information Retrieval with its
advantages in understanding the text content of documents and queries. Compared to short …

Neural text simplification has gained increasing attention in the NLP community thanksto
recent advancements in deep sequence-to-sequence learning. Most recent efforts withsuch …

Synthetic data generation is important to training and evaluating neural models for question
answering over knowledge graphs. The quality of the data and the partitioning of the …

Users expect their queries to be answered by search systems, regardless of the query's
surface form, which include keyword queries and natural questions. Natural Language …

Diverse text generation has been emerging as an important topic of natural language
generation. Traditional studies on question generation mainly investigate how to generate …

Customers interacting with product search engines are increasingly formulating information-
seeking queries. Frequently Asked Question (FAQ) retrieval aims to retrieve common …

This thesis brings together an overview of Text Readability (TR) about Text Simplification
(TS) with an application of both to Modern Standard Arabic (MSA). It will present our findings …

[Objective] This paper develops a neural network model to improve the online questioning
and answering services.[Methods] First, we retrieved and constructed our experimental …

Recognizing when we need more information and asking clarifying questions are integral to
communication in our day to day life. It helps us complete our mental model of the world and …