19 citations · 24 across the 13 of their papers we have counts for
16 papers
Crude, Commercial, and Self-Referential: Chinese-Language Coordinated Activity in Japanese-Language X
Kei Ichikawa, Bruno T. Sugano, Genta Toya +5
Malicious coordination has long been regarded as a principal source of information ecosystem pollution. Here, we focus on crude, text-repetition-based coordination. As the demand f…
Attentional DoS: Repeat Reposting, Collective Attention, and Information Diffusion on X
Genta Toya, Bruno T. Sugano, Kei Ichikawa +6
Collective attention is a finite shared resource, and social media posts compete for limited opportunities to be seen. On X, users can undo a repost and repost it again. By repeati…
Uncovering Non-Normality in Information Flow: Network Structure and Dynamics of Social Media Cascades
Qianyun Wu, Bruno T. Sugano, Genta Toya +5
Information cascades on social media are conventionally conceptualized as directed, feedforward branching processes. However, real-world diffusion pathways frequently deviate from…
Rethinking Response Evaluation from Interlocutor's Eye for Open-Domain Dialogue Systems
Yuma Tsuta, Naoki Yoshinaga, Shoetsu Sato +1
Open-domain dialogue systems have started to engage in continuous conversations with humans. Those dialogue systems are required to be adjusted to the human interlocutor and evalua…
PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts
Daisuke Oba, Naoki Yoshinaga, Masashi Toyoda
The meanings of words and phrases depend not only on where they are used (contexts) but also on who use them (writers). Pretrained language models (PLMs) are powerful tools for cap…
A Unified Generative Approach to Product Attribute-Value Identification
Keiji Shinzato, Naoki Yoshinaga, Yandi Xia +1
Product attribute-value identification (PAVI) has been studied to link products on e-commerce sites with their attribute values (e.g., <Material, Cotton>) using product text as clu…
Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie
Naoki Yoshinaga
Accurate neural models are much less efficient than non-neural models and are useless for processing billions of social media posts or handling user queries in real time with a lim…
Commentary Generation from Data Records of Multiplayer Strategy Esports Game
Zihan Wang, Naoki Yoshinaga
Esports, a sports competition on video games, has become one of the most important sporting events. Although esports play logs have been accumulated, only a small portion of them a…
Early Discovery of Disappearing Entities in Microblogs
Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda
We make decisions by reacting to changes in the real world, in particular, the emergence and disappearance of impermanent entities such as events, restaurants, and services. Becaus…
Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge
Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida
Although named entity recognition (NER) helps us to extract domain-specific entities from text (e.g., artists in the music domain), it is costly to create a large amount of trainin…
Evolution of the public opinion on COVID-19 vaccination in Japan
Yuri Nakayama, Yuka Takedomi, Towa Suda +7
Vaccines are promising tools to control the spread of COVID-19. An effective vaccination campaign requires government policies and community engagement, sharing experiences for soc…
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction
Keiji Shinzato, Naoki Yoshinaga, Yandi Xia +1
A key challenge in attribute value extraction (AVE) from e-commerce sites is how to handle a large number of attributes for diverse products. Although this challenge is partially a…
Context-aware Decoder for Neural Machine Translation using a Target-side Document-Level Language Model
Amane Sugiyama, Naoki Yoshinaga
Although many context-aware neural machine translation models have been proposed to incorporate contexts in translation, most of those models are trained end-to-end on parallel doc…
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation
Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga +2
Neural network methods exhibit strong performance only in a few resource-rich domains. Practitioners, therefore, employ domain adaptation from resource-rich domains that are, in mo…
Early Discovery of Emerging Entities in Microblogs
Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda
Keeping up to date on emerging entities that appear every day is indispensable for various applications, such as social-trend analysis and marketing research. Previous studies have…
Learning to Describe Phrases with Local and Global Contexts
Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga +4
When reading a text, it is common to become stuck on unfamiliar words and phrases, such as polysemous words with novel senses, rarely used idioms, internet slang, or emerging entit…