Frequently Asked Question (FAQ) retrieval is an important task where the objective is to
retrieve an appropriate Question-Answer (QA) pair from a database based on a user's query …

We focus on the task of Frequently Asked Questions (FAQ) retrieval. A given user query can
be matched against the questions and/or the answers in the FAQ. We present a fully …

Delivering prompt information and guidance to farmers is critical in agricultural decision-
making. Farmers' helpline centres are heavily reliant on the expertise and availability of call …

This paper describes an overview of RITE-2 (Recognizing Inference in TExt) task in NTCIR-
10. We evaluated systems that automatically recognize semantic relations between …

In 2011, the National Institute for Japanese Language and Linguistics (NINJAL) launched a
corpus compilation project to construct a web corpus for linguistic research comprising ten …

Community Question Answering (CQA) has become a primary means for people to acquire
knowledge, where people are free to ask questions or submit answers. To enhance the …

In this paper, we present a word embedding dataset NWJC2Vec constructed using 'NINJAL
Web Japanese Corpus (NWJC)'. NWJC is a Web-crawled text corpus that contains 25.8 …

We present a large, challenging dataset, COUGH, for COVID-19 FAQ retrieval. Similar to a
standard FAQ dataset, COUGH consists of three parts: FAQ Bank, Query Bank and …

This paper describes an overview of Recognizing Inference in TExt and Validation (RITE-
VAL) task in NTCIR-11. We evaluated systems that automatically recognize semantic …

This paper presents a simple but effective approach to unknown word processing in
Japanese morphological analysis, which handles 1) unknown words that are derived from …