NAIST at the HOO 2012 Shared Task. - Keisuke Sakaguchi; Yuta Hayashibe; Shuhei Kondo; Lis Kanashiro; Tomoya Mizumoto; Mamoru Komachi; Yuji Matsumoto 001 (BEA@NAACL-HLT, 2012)

Automated Collocation Suggestion for Japanese Second Language Learners. - Lis Pereira; Erlyn Manguilimotan; Yuji Matsumoto 001 (ACL (Student Research Workshop), 2013)

Collocation or Free Combination? ― Applying Machine Translation Techniques to identify collocations in Japanese. - Lis Pereira; Elga Strafella; Yuji Matsumoto 001 (LREC, 2014)

Identifying collocations using cross-lingual association measures. - Lis Pereira; Elga Strafella; Kevin Duh; Yuji Matsumoto 001 (MWE@EACL, 2014)

Collocation Assistant for Learners of Japanese as a Second Language. - Lis Pereira; Yuji Matsumoto 001 (NLP-TEA@ACL/IJCNLP, 2015)

Lexical Simplification with the Deep Structured Similarity Model. - Lis Pereira; Xiaodong Liu 003; John Lee (IJCNLP(2), 2017)

Adversarial Training for Commonsense Inference. - Lis Pereira; Xiaodong Liu 003; Fei Cheng 002; Masayuki Asahara; Ichiro Kobayashi (RepL4NLP@ACL, 2020)

Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently. - Lis Kanashiro Pereira; Yuki Taya; Ichiro Kobayashi (BlackboxNLP@EMNLP, 2021)

Posterior Differential Regularization with f-divergence for Improving Model Robustness. - Hao Cheng 002; Xiaodong Liu 003; Lis Pereira; Yaoliang Yu; Jianfeng Gao 001 (NAACL-HLT, 2021)

Targeted Adversarial Training for Natural Language Understanding. - Lis Pereira; Xiaodong Liu 003; Hao Cheng 002; Hoifung Poon; Jianfeng Gao 001; Ichiro Kobayashi (NAACL-HLT, 2021)

Dependency Enhanced Contextual Representations for Japanese Temporal Relation Classification. - Chenjing Geng; Fei Cheng 002; Masayuki Asahara; Lis Kanashiro Pereira; Ichiro Kobayashi (PACLIC, 2021)

ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning. - Lis Pereira; Fei Cheng 002; Masayuki Asahara; Ichiro Kobayashi (PACLIC, 2021)

OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction. - Yuki Taya; Lis Kanashiro Pereira; Fei Cheng 002; Ichiro Kobayashi (SemEval@ACL/IJCNLP, 2021)

OCHADAI at SMM4H-2021 Task 5: Classifying self-reporting tweets on potential cases of COVID-19 by ensembling pre-trained language models. - Ying Luo; Lis Pereira; Ichiro Kobayashi (SMM4H@NAACL-HLT, 2021)

OCHADAI-KYODAI at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction. - Yuki Taya; Lis Kanashiro Pereira; Fei Cheng 002; Ichiro Kobayashi (CoRR, 2021)

Toward Building a Language Model for Understanding Temporal Commonsense. - Mayuko Kimura; Lis Kanashiro Pereira; Ichiro Kobayashi (AACL/IJCNLP 2022 (Student Research Workshop), 2022)

Attention-Focused Adversarial Training for Robust Temporal Reasoning. - Lis Kanashiro Pereira (LREC, 2022)

Effective Masked Language Modeling for Temporal Commonsense Reasoning. - Mayuko Kimura; Lis Kanashiro Pereira; Ichiro Kobayashi (SCIS/ISIS, 2022)

OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection. - Lis Pereira; Ichiro Kobayashi (SemEval@NAACL, 2022)

NTCIR-17 MedNLP-SC Social Media Adverse Drug Event Detection: Subtask Overview. - Shoko Wakamiya; Lis Kanashiro Pereira; Lisa Raithel; Hui-Syuan Yeh; Peitao Han; Seiji Shimizu; Tomohiro Nishiyama; Gabriel Herman Bernardim Andrade; Noriki Nishida; Hiroki Teranishi; Narumi Tokunaga; Philippe Thomas 001; et al. (NTCIR, 2023)

QA-based Event Start-Points Ordering for Clinical Temporal Relation Annotation. - Seiji Shimizu; Lis Pereira; Shuntaro Yada; Eiji Aramaki (LREC/COLING, 2024)

AcTED: Automatic Acquisition of Typical Event Duration for Semi-supervised Temporal Commonsense QA. - Felix Giovanni Virgo; Fei Cheng 002; Lis Kanashiro Pereira; Masayuki Asahara; Ichiro Kobayashi; Sadao Kurohashi (CoRR, 2024)

Enhancing In-Context Learning with Semantic Representations for Relation Extraction. - Peitao Han; Lis Kanashiro Pereira; Fei Cheng 002; Wan-Jou She; Eiji Aramaki (CoRR, 2024)

AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction. - Peitao Han; Lis Pereira; Fei Cheng 002; Wan-Jou She; Eiji Aramaki (NAACL (Student Research Workshop), 2025)