KitAi: Textual Entailment Recognition System for NTCIR-10 RITE2. - Kazutaka Shimada; Yasuto Seto; Mai Omura; Kohei Kurihara (NTCIR, 2013)

Cost decisions in the development of disease knowledge base : A case study. - Takashi Okumura; Hiroaki Tanaka; Mai Omura; Maori Ito; Shin-ichi Nakagawa; Yuka Tateisi (BIBM, 2014)

Discriminating between Relevant and Irrelevant Text for Fact Validation. - Mirai Miura; Hiroki Ouchi; Mai Omura; Mayo Yamasaki; Akifumi Yoshimoto (NTCIR, 2014)

Incorporating Unsupervised Features into CRF based Named Entity Recognition. - Yuki Tawara; Mai Omura; Mirai Miura (NTCIR, 2014)

Disease Similarity Calculation on Simplified Disease Knowledge Base for Clinical Decision Support Systems. - Mai Omura; Yuka Tateishi; Takashi Okumura (FLAIRS, 2015)

Practical approach for disease similarity calculation based on disease phenotype, etiology, and locational clues in disease names. - Mai Omura; Noboru Sonehara; Takashi Okumura (BIBM, 2016)

Similarity Matrix Model for the NTCIR-12 MedNLPDoc Task. - Yuichiro Sawai; Mai Omura; Hiroki Ouchi; Yuki Nagai; Masashi Yoshikawa; Ikuya Yamada (NTCIR, 2016)

Geometrical mapping of diseases with calculated similarity measure. - Yuichi Yaguchi; Mai Omura; Takashi Okumura (BIBM, 2017)

UD-Japanese BCCWJ: Universal Dependencies Annotation for the Balanced Corpus of Contemporary Written Japanese. - Mai Omura; Masayuki Asahara (UDW@EMNLP, 2018)

Universal Dependencies Version 2 for Japanese. - Masayuki Asahara; Hiroshi Kanayama; Takaaki Tanaka; Yusuke Miyao; Sumire Uematsu; Shinsuke Mori; Yuji Matsumoto 001; Mai Omura; Yugo Murawaki (LREC, 2018)

Spatial Information Annotation Based on the Double Cross Model. - Yoshiko Kawabata; Mai Omura; Masayuki Asahara; Johane Takeuchi (PACLIC, 2023)

UD_Japanese-CEJC: Dependency Relation Annotation on Corpus of Everyday Japanese Conversation. - Mai Omura; Hiroshi Matsuda; Masayuki Asahara; Aya Wakasa (SIGDIAL, 2023)