---
title: "Fatima T. AL-Khawaldeh — author profile and papers"
description: "Fatima T. AL-Khawaldeh: 2 papers on Elamur Research (2019) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/fatima-t-al-khawaldeh/"
---
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# Fatima T. AL-Khawaldeh

Fatima T. AL-Khawaldeh has 2 papers in our library, in 2019, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/).

2 papers in our library · 2019

No OpenAlex profile matched yet.

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/fatima-t-al-khawaldeh/#papers) · 🔗 1 citation in our library · [⭐ Paper Star rank #4563](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4563)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Fatima+T.+AL-Khawaldeh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fatima+T.+AL-Khawaldeh) · [dblp](https://dblp.org/search?q=Fatima+T.+AL-Khawaldeh) · [ACL Anthology](https://aclanthology.org/search/?q=Fatima+T.+AL-Khawaldeh)

## Topics

[Semitic languages (2)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Sentiment & emotion (1)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2010s

[**2019** 2 papers](https://md.research.elamur.ai/free/en/authors/fatima-t-al-khawaldeh/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Answer Extraction for Why Arabic Questions Answering Systems: EWAQ](https://md.research.elamur.ai/free/en/papers/al-khawaldeh-2019-answer-extraction-why-arabic-questions/)** *(2019 · 15 citations)* The paper presents EWAQ, a question answering system for Arabic that handles only why questions. Most earlier Arabic QA work skipped this type, and where it was handled (e.g., QArabPro) it performed worst. EWAQ takes passages returned by web search engines (Google, Yahoo, Ask) and does two things. First, it re-orders…
2. **[A Study of the Effect of Resolving Negation and Sentiment Analysis in Recognizing Text Entailment for Arabic](https://md.research.elamur.ai/free/en/papers/al-khawaldeh-2019-study-effect-resolving-negation-sentiment/)** *(2019 · 13 citations)* The paper addresses Arabic recognizing textual entailment (RTE). An earlier lexical system, called ATE here, accepted pairs it should have rejected for two reasons: it discarded negation particles as stop words, and it ignored whether text and hypothesis express opposite opinions.

## Cited by

Papers of our library cite their works 1 time (of the 140,884 papers whose bibliographies we read).