3 papers
cs.CL2024
Vaporetto: Efficient Japanese Tokenization Based on Improved Pointwise Linear Classification
Koichi Akabe, Shunsuke Kanda, Yusuke Oda +1
This paper proposes an approach to improve the runtime efficiency of Japanese tokenization based on the pointwise linear classification (PLC) framework, which formulates the whole…
cs.CV2024
Text-driven Affordance Learning from Egocentric Vision
Tomoya Yoshida, Shuhei Kurita, Taichi Nishimura +1
Visual affordance learning is a key component for robots to understand how to interact with objects. Conventional approaches in this field rely on pre-defined objects and actions,…
cs.CL2024
Automatic Construction of a Large-Scale Corpus for Geoparsing Using Wikipedia Hyperlinks
Keyaki Ohno, Hirotaka Kameko, Keisuke Shirai +2
Geoparsing is the task of estimating the latitude and longitude (coordinates) of location expressions in texts. Geoparsing must deal with the ambiguity of the expressions that indi…