Descriptive Analysis of Negation Cues in Biomedical Texts
نویسنده
چکیده
In this paper we present a description of negation cues and their scope in biomedical texts, based on the cues that occur in the BioScope corpus. We provide information relative to the ambiguity of the negation cue and to the type of scope, as well as examples. We show that the scope depends mostly on the part-of-speech of the cue and on the syntactic features of the clause. Although several studies have focused on processing negation in biomedical texts, we are not aware of publicly available resources that describe the scope of negation cues in detail. This paper aims at providing information for producing guidelines to annotate corpora with a negation layer, and for building resources that find the scope of negation cues automatically.
منابع مشابه
Learning the Scope of Hedge Cues in Biomedical Texts
Identifying hedged information in biomedical literature is an important subtask in information extraction because it would be misleading to extract speculative information as factual information. In this paper we present a machine learning system that finds the scope of hedge cues in biomedical texts. The system is based on a similar system that finds the scope of negation cues. We show that th...
متن کاملExtraction of Drug-Drug Interaction from Literature through Detecting Linguistic-based Negation and Clause Dependency
Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in t...
متن کاملLearning the Scope of Negation in Biomedical Texts
In this paper we present a machine learning system that finds the scope of negation in biomedical texts. The system consists of two memory-based engines, one that decides if the tokens in a sentence are negation signals, and another that finds the full scope of these negation signals. Our approach to negation detection differs in two main aspects from existing research on negation. First, we fo...
متن کاملNegation and Speculation Target Identification
Negation and speculation are common in natural language text. Many applications, such as biomedical text mining and clinical information extraction, seek to distinguish positive/factual objects from negative/speculative ones (i.e., to determine what is negated or speculated) in biomedical texts. This paper proposes a novel task, called negation and speculation target identification, to identify...
متن کاملLearning the scope of negation in biomedical texts
In this paper we present a machine learning system that finds the scope of negation in biomedical texts. The system consists of two memory-based engines, one that decides if the tokens in a sentence are negation signals, and another that finds the full scope of the negation signals. Our approach to negation detection differs in two main aspects from existing research. First, we focus on finding...
متن کامل