What question did this study set out to answer?

The aim is to develop an effective method for generating answer summaries in question answering tasks.

April 1, 2026Open Access

HUKB at the NTCIR-17 QA Lab-PoliInfo-4 Task

Key Points

The aim is to develop an effective method for generating answer summaries in question answering tasks.
Identified relevant sentences related to the input question from respondent’s utterances.
Utilized BERT to pinpoint sentences that seem to directly answer the input question.
Employed a T5-based summarizer to create the final answer summary.
The proposed method was evaluated using datasets provided by Task Organizers.
The approach successfully integrated information extraction and summarization techniques.

Abstract

The HUKB team participated in the Question Answering-2 subtask in the NTCIR-17 QA Lab-PoliInfo-4 task. Our proposed method is divided into three steps. First, we found the sentence on the beginning of the same topic as the input question from the respondent’s utterances and extracted the candidate sentences. Next, we found the sentences where the respondent seemed to answer the input question directly, using BERT. Finally, we entered the selected sentences with the input question into the T5 based summarizer, and generated the answer summary. We evaluated the whole method and each process with the dataset distributed by Task Organizers.

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Cite This Study

Horikawa et al. (Tue,) studied this question.

synapsesocial.com/papers/69cd7a915652765b073a7d72 https://doi.org/https://doi.org/10.20736/0002001316

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