Despite the recent success of deep neural networks in natural language processing and
other spheres of artificial intelligence, their interpretability remains a challenge. We analyze …

Negation and speculation are universal linguistic phenomena that affect the performance of
Natural Language Processing (NLP) applications, such as those for opinion mining and …

This paper presents a freely available resource for research on handling negation and
speculation in review texts. The SFU Review Corpus, consisting of 400 documents of movie …

In this paper, we present SFU Review SP-NEG, the first Spanish corpus annotated with
negation with a wide coverage freely available. We describe the methodology applied in the …

Negation is a universal linguistic phenomenon with a great qualitative impact on natural
language processing applications. The availability of corpora annotated with negation is …

Background: Scientific discovery progresses by exploring new and uncharted territory. More
specifically, it advances by a process of transforming unknown unknowns first into known …

En este artículo se presentan los criterios aplicados para la anotación del corpus SFU
Review SP-NEG con negación y la tipología lingüística correspondiente. Esta tipología …

Identifying negation scopes in a text is an important subtask of information extraction that
can benefit other natural language processing tasks, like relation extraction, question …

This paper presents a review of state‐of‐the‐art approaches to automatic extraction of
biomolecular events from scientific texts. Events involving biomolecules such as genes …

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 …