Negation detection, a crucial component of natural language processing (NLP), plays a vital
role in deciphering sentiment, context, and meaning in textual data. This study delves into …

Negation detection, a crucial component of natural language processing (NLP), plays a vital
role in deciphering sentiment, context, and meaning in textual data. This study delves into …

Negation detection, a crucial component of natural language processing (NLP), plays a vital
role in deciphering sentiment, context, and meaning in textual data. This study delves into …

Accurate negation identification is one of the most important tasks in the context of sentiment
analysis. In order to correctly interpret the sentiment value of a particular expression, we …

This paper presents an open-source toolkit for negation detection. It identifies negation cues
and their corresponding scope in either raw or parsed text using maximum-margin …

The research in detecting the negation in Arabic is limited due to the unavailability of Arabic
corpora targeting this phenomenon. The negation detection affects a set of subfields in the …

This special issue is devoted to any aspect related to processing negation from a
computational perspective. The call for papers was broad and welcomed contributions …

Negation is a complex linguistic phenomenon present in all human languages. It can be
seen as an operator that transforms an expression into another expression whose meaning …

In this work, we have developed an open source, portable toolkit for detecting negation cues
and their scope in natural language. Our tool is designed with a two-phase architecture …

FReND is a freely available corpus of French language in which negations are hand-
annotated. Negations are annotated by their cues and scopes. Comprising 590K tokens and …