7 citations · 12 across the 4 of their papers we have counts for
4 papers
Answer Generation through Unified Memories over Multiple Passages
Makoto Nakatsuji, Sohei Okui
Machine reading comprehension methods that generate answers by referring to multiple passages for a question have gained much attention in AI and NLP communities. The current metho…
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions
Makoto Nakatsuji
Deep learning methods that extract answers for non-factoid questions from QA sites are seen as critical since they can assist users in reaching their next decisions through convers…
Conclusion-Supplement Answer Generation for Non-Factoid Questions
Makoto Nakatsuji, Sohei Okui
This paper tackles the goal of conclusion-supplement answer generation for non-factoid questions, which is a critical issue in the field of Natural Language Processing (NLP) and Ar…
Fast and Exact Top-k Search for Random Walk with Restart
Yasuhiro Fujiwara, Makoto Nakatsuji, Makoto Onizuka +1
Graphs are fundamental data structures and have been employed for centuries to model real-world systems and phenomena. Random walk with restart (RWR) provides a good proximity scor…