This paper describes the system submitted in the SemEval-2021 Statement Verification and Evidence Finding with Tables task. The system relies on candidate generation for logical forms on the table based on keyword matching and dependency parsing on the claim statements.
WNUT 2020 Shared Task-1: Conditional Random Field(CRF) based Named Entity Recognition(NER) for Wet Lab Protocols
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)
The paper describes how classifier model built using Conditional Random Field detects named entities in wet lab protocols.