Speculation Detection

3 papers with code • 0 benchmarks • 0 datasets

Identifying information in text that is speculative as opposed to factual information.


Use these libraries to find Speculation Detection models and implementations

Most implemented papers

Resolving the Scope of Speculation and Negation using Transformer-Based Architectures

adityak6798/Transformers-For-Negation-and-Speculation 9 Jan 2020

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

adityak6798/Transformers-For-Negation-and-Speculation 20 Nov 2020

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

daviddongkc/oie_spec 7 May 2023

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.