H
Hiroyuki Shindo
Researcher at Nara Institute of Science and Technology
Publications - 116
Citations - 2398
Hiroyuki Shindo is an academic researcher from Nara Institute of Science and Technology. The author has contributed to research in topics: Sentence & Parsing. The author has an hindex of 20, co-authored 111 publications receiving 1675 citations. Previous affiliations of Hiroyuki Shindo include Hitachi & Nippon Telegraph and Telephone.
Papers
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Proceedings Article
Segment-Level Neural Conditional Random Fields for Named Entity Recognition
TL;DR: This work presents Segment-level Neural CRF, which combines neural networks with a linear chain CRF for segment-level sequence modeling tasks such as named entity recognition (NER) and syntactic chunking.
Proceedings ArticleDOI
A CD-gap-free contour extraction technique for OPC model calibration
Takuma Shibahara,Tsuyoshi Minakawa,Michio Oikawa,Hiroyuki Shindo,Hitoshi Sugahara,Yutaka Hojyo +5 more
TL;DR: In this paper, a mask edge is classified into shape structures and an optimized SEM contour extraction method is prepared for each shape structure to reduce the CD-gap between CD measurements directly calculated from a SEM image and CD measurements calculated from SEM contours.
Posted Content
Length-controllable Abstractive Summarization by Guiding with Summary Prototype
Saito Itsumi,Kyosuke Nishida,Kosuke Nishida,Otsuka Atsushi,Asano Hisako,Junji Tomita,Hiroyuki Shindo,Yuji Matsumoto +7 more
TL;DR: A new length-controllable abstractive summarization model that incorporates a word-level extractive module in the encoder-decoder model instead of length embeddings to generate an informative and length-controlled summary.
Proceedings ArticleDOI
Joint Case Argument Identification for Japanese Predicate Argument Structure Analysis
TL;DR: New methods for Japanese PAS analysis to jointly identify case arguments of all predicates in a sentence are proposed by modeling multiple PAS interactions with a bipartite graph and approximately searching optimal PAS combinations.
Proceedings ArticleDOI
Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text
TL;DR: Text2Quest as discussed by the authors is an interactive game-based approach for action-graph extraction from materials science papers, where procedural text is interpreted as instructions for an interactive role-playing game and a learning agent completes the game by executing the procedure correctly.