NeSp demo

Finding negation and speculation cues and their scopes in biomedical texts.

The system accepts as input a text and it returns the text splitted into sentences, where negation and speculation cues and their scope are marked. It has been trained to process English biomedical texts.

Example sentence:
When U937 cells were infected with HIV-1, no induction of NF-KB factor was detected, whereas high level of progeny virions was produced, suggesting that this factor was not required for viral replication.

Please enter one English sentence: