In order to organize the large number of products listed in e-commerce sites, each product is
usually assigned to one of the multi-level categories in the taxonomy tree. It is a time …

A self-adaptive classifier for efficient text-stream processing is proposed. The proposed
classifier adaptively speeds up its classification while processing a given text stream for …

Accurate neural models are much less efficient than non-neural models and are useless for
processing billions of social media posts or handling user queries in real time with a limited …

We present a novel approach for rapidly developing a corpus with discourse annotations
using crowdsourcing. Although discourse annotations typically require much time and cost …

Chunks (or phrases) once played a pivotal role in machine translation. By using a chunk
rather than a word as the basic translation unit, local (intra-chunk) and global (inter-chunk) …

Background Despite being a pandemic, the impact of the spread of COVID-19 extends
beyond public health, influencing areas such as the economy, education, work style, and …

We present a supervised method for verb sense disambiguation based on VerbNet. Most
previous supervised approaches to verb sense disambiguation create a classifier for each …

This paper presents a novel task of ordering given concepts (eg, London, Paris, and Rome)
on the basis of common attribute intensity expressed by a given adjective (eg, safe) and …

Because the real world evolves over time, numerous relations between entities written in
presently available texts are already obsolete or will potentially evolve in the future. This …

Since the present-day Japanese use of voiced consonant mark had established in the Meiji
Era, modern Japanese literary text written in the Meiji Era often lacks compulsory voiced …