2 citations · 3 across the 8 of their papers we have counts for
8 papers · 1 filter
ATD-Trans: A Geographically Grounded Japanese-English Travelogue Translation Dataset
Shohei Higashiyama, Hiroki Ouchi, Atsushi Fujita +1
Geographic text, or textual data rich in geographic (geo-) information is a valuable source for various geographic applications, e.g., tourism management. Making such information a…
Language-free Experience at Expo 2025 Osaka
Michael Paul, Kenji Imamura, Xiaolin Wang +2
In line with the Global Communication Plan 2025, we have pursued the development of multilingual translation technologies to realize a language-barrier-free experience at Expo 2025…
CADEL: A Corpus of Administrative Web Documents for Japanese Entity Linking
Shohei Higashiyama, Masao Ideuchi, Masao Utiyama
Entity linking is the task of associating linguistic expressions with entries in a knowledge base that represent real-world entities and concepts. Language resources for this task…
Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages
Shohei Higashiyama, Masao Utiyama
Lexical normalization research has sought to tackle the challenge of processing informal expressions in user-generated text, yet the absence of comprehensive evaluations leaves it…
Graph-Structured Trajectory Extraction from Travelogues
Aitaro Yamamoto, Hiroyuki Otomo, Hiroki Ouchi +4
Previous studies on sequence-based extraction of human movement trajectories have an issue of inadequate trajectory representation. Specifically, a pair of locations may not be lin…
Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation
Shohei Higashiyama, Hiroki Ouchi, Hiroki Teranishi +9
Geoparsing is a fundamental technique for analyzing geo-entity information in text. We focus on document-level geoparsing, which considers geographic relatedness among geo-entity m…
NAIST Academic Travelogue Dataset
Hiroki Ouchi, Hiroyuki Shindo, Shoko Wakamiya +5
We have constructed NAIST Academic Travelogue Dataset (ATD) and released it free of charge for academic research. This dataset is a Japanese text dataset with a total of over 31 mi…
User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization
Shohei Higashiyama, Masao Utiyama, Taro Watanabe +1
Morphological analysis (MA) and lexical normalization (LN) are both important tasks for Japanese user-generated text (UGT). To evaluate and compare different MA/LN systems, we have…