AKBL at the NTCIR-16 QA Lab-PoliInfo-3 Task

AKBL team participated in the QA alignment, the Question Answering, and the Fact Verification subtasks. For the QA alignment subtask, our method firstly divides given question and answer texts into semantically consistent segments, then apply the Hungarian algorithm with the BM25 similarity metric to align those segments. For the Question Answering subtask, our system firstly selects a short segment relevant to a given question summary from the answer text, then converts it into the answer summary by using the abstractive summarizer based on the pre-trained BART. For the Fact Verification subtask, our best system firstly retrieves a passage relevant to a given claim from the assembly minutes, then checks if the passage entails the claim or not by using a BERT-based textual entailment classifier.