Fatima taha Alkhawaldeh

• University of York

Consideration of multiple viewpoints on a contentious issue is critical for avoiding bias and assisting in the formulation of rational decisions. We observe that the current model imposes a constraint on diversity. This is because the conventional attention mechanism is biased toward a single semantic aspect of the claim, whereas the claim may cont...

Each argument begins with a conclusion, which is followed by one or more premises supporting the conclusion. The warrant is a critical component of Toulmin's argument model; it explains why the premises support the claim. Despite its critical role in establishing the claim's veracity, it is frequently omitted or left implicit, leaving readers to in...

The warrant element of the Toulmin model is critical for fact-checking and assessing the strength of an argument. As implicit information, warrants justify the arguments and explain why the evidence supports the claim. Despite the critical role warrants play in facilitating argument comprehension, the fact that most works aim to select the best war...

The warrant element of the Toulmin model is critical for fact-checking and assessing the strength of an argument. As implicit information, warrants justify the arguments and explain why the evidence supports the claim. Despite the critical role warrants play in facilitating argument comprehension, the fact that most works aim to select the best war...

Fact-checking is a task to capture the relation between a claim and evidence (premise) to decide this claim’s truth. Detecting the factuality of claim, as in fake news, depending only on news knowledge, e.g., evidence text, is generally inadequate since fake news is intentionally written to mislead readers. Most of the previous models on this task...

In debatable topics, people use evidence to reason towards a claim. The claim conveys a stance towards a particular aspect in the evidence. Existing studies mainly focus on identifying claim stance; which is determined by its relevant evidence; however, the task to get a factual claim if the claim is non-factual is not considered. We thus study the...

We propose a novel Hierarchical Reinforcement Learning (HRL) Model to detect the factuality of claim trying to generate a new correct claim if not. Initially, we segment each sentence into several clauses using sentence-level discourse segmentation then measuring the cosine similarity to decide whether a clause is relevant to a claim or not. All re...

Argument generation aims to produce extra information automatically given a piece of text as input to provide information helps in decision making. These arguments can reason about the available information, its conflicting or uncertain information and the newly obtained information to construct believes or goals that assert the agreement of a clai...

In recent years, the trustworthiness of information on the Internet has arisen as a critical problem of modern society, and it has incredible impact on the political and social world. Factuality checking is a challenging task to identify the reliability of information sources. Most previously applied models for factuality checking rely on the label...

Uncertainty detection plays fundamental role to separate new discovering information from those are factual information. Uncertainty texts have nonfactual information which could be useful for scientific purposes. Speculation and negation words affect the factuality degree. for example, negation reverses the factuality to non-factuality and vice ve...

Recognizing the entailment relation showed that its influence to extract the semantic inferences in wide-ranging natural language processing domains (text summarization, question answering, etc.) and enhanced the results of their output. For Arabic language, few attempts concerns with Arabic entailment problem. This paper aims to increase the entai...

With the increasing amount of web information, questions answering systems becomes very important to allow users to access to direct answers for their requests. This paper presents an Arabic Questions Answering Systems based on entailment metrics. The type of questions which this paper focuses on is why questions. There are many reasons lead us to...

There are many reasons behind research on speculation and negation: there is a lot of irrelevant (nonfactual) information, and a huge changing with new discovering information may strengthen or weaken previous knowledge. Speculation and negation values are considered as one of the main factors which play an essential role to predict the factuality...

—Text summarization is the process of creating a short description of a specified text while preserving its information context. This paper tackles Arabic text summarization problem. The semantic redundancy and insignificance will be removed from the summarized text. This can be achieved by checking the text entailment relation, and lexical cohesio...

Recognizing the entailment relation showed that its influence to extract the semantic inferences in wide-ranging natural language processing domains (text summarization, question answering, etc.) and enhanced the results of their output. For Arabic language, few attempts concerns with Arabic entailment problem. This paper aims to increase the entai...

with the increasing amount of web information, questions answering systems becomes very important to allow users to access to direct answers for their requests. This paper presents an Arabic Questions Answering Systems based on entailment metrics. The type of questions which this paper focuses on is why questions. There are many reasons lead us to...