Speculation Detection
3 papers with code • 0 benchmarks • 0 datasets
Identifying information in text that is speculative as opposed to factual information.
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Resolving the Scope of Speculation and Negation using Transformer-Based Architectures
Speculation is a naturally occurring phenomena in textual data, forming an integral component of many systems, especially in the biomedical information retrieval domain.
Multitask Learning of Negation and Speculation using Transformers
Detecting negation and speculation in language has been a task of considerable interest to the biomedical community, as it is a key component of Information Extraction systems from Biomedical documents.
Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection
We formally define the research problem of tuple-level speculation detection and conduct a detailed data analysis on the LSOIE dataset which contains labels for speculative tuples.