Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Ryu Iida"'
Publikováno v:
AAAI
This paper proposes a novel method for generating compact answers to open-domain why-questions, such as the following answer, “Because deep learning technologies were introduced,” to the question, “Why did Google’s machine translation service
Autor:
Shoya, Wada, Ryu, Iida, Kentaro, Torisawa, Toshihiro, Takeda, Shiro, Manabe, Yasushi, Matsumura
Publikováno v:
Studies in health technology and informatics. 264
We propose a method to create large-scale Japanese medical dictionaries that include symptom names and information about the relationship between a disease and its symptoms using a large web archive that includes large amounts of text written by non-
Publikováno v:
ACL (1)
In this paper, we propose a method for why-question answering (why-QA) that uses an adversarial learning framework. Existing why-QA methods retrieve “answer passages” that usually consist of several sentences. These multi-sentence passages contai
Publikováno v:
EMNLP/IJCNLP (1)
We propose new BERT-based methods for recognizing event causality such as “smoke cigarettes” –> “die of lung cancer” written in web texts. In our methods, we grasp each annotator’s policy by training multiple classifiers, each of which pr
Publikováno v:
Orthopaedics & Traumatology: Surgery & Research. 101:741-744
Purpose Advances in small arthroscopy have enabled a minimally invasive surgery for thumb carpometacarpal joints. However, surgery is often difficult using standard CM-radial (CM-R) and CM-ulnar portals (CM-U). Here, we describe the clinical applicat
Autor:
Haruhiko Satonaka, Kazuya Odake, Ryu Iida, Masaya Tsujii, Akihiro Sudo, Naoki Kokubu, Yu Oshima
Publikováno v:
Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association. 25(2)
Background We reported a new technique for arthroscopic ligamentoplasty for the thumb carpometacarpal osteoarthritis (CMC-OA) along with a minimum of 2 years of results. Methods Twenty-nine thumbs with CMC-OA in stages II and III according to the Eat
Publikováno v:
The Journal of hand surgery, European volume. 43(10)
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
This paper proposes a neural network-based method for generating compact answers to open-domain why-questions (e.g., "Why was Mr. Trump elected as the president of the US?"). Unlike factoid question answering methods that provide short text spans as
Publikováno v:
HLT-NAACL
A large part of human communication involves referring to entities in the world and often these entities are objects that are visually present for the interlocutors. A system that aims to resolve such references needs to tackle a complex task: object
Publikováno v:
WSDM
Why-question answering (why-QA) is a task to retrieve answers (or answer passages) to why-questions (e.g., "why are tsunamis generated?") from a text archive. Several previously proposed methods for why-QA improved their performance by automatically