Predicate-Argument Structure-based Preordering for Japanese-English Statistical Machine Translation of Scientific Papers

Neural Machine Translation Using Extracted Context Based on Deep Analysis for the Japanese-English Newswire Task at WAT 2020

This paper describes the system of the NHK-NES team for the WAT 2020 Japanese–English newswire task. There are two main problems in Japanese-English news translation: translation of dropped subjects and compatibility bet…

Building Japanese Predicate-argument Structure Corpus using Lexical Conceptual Structure

This paper introduces our study on creating a Japanese corpus that is annotated using semantically-motivated predicate-argument structures. We propose an annotation framework based on Lexical Conceptual Structure (LCS), …

Hierarchical Multitask Learning with Dependency Parsing for Japanese Semantic Role Labeling Improves Performance of Argument Identification

With the advent of FrameNet and PropBank, many semantic role labeling (SRL) systems have been proposed in English. Although research on Japanese predicate argument structure analysis (PASA) has been conducted, most studi…

Japanese to English Machine Translation using Preordering and Compositional Distributed Semantics

Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis

Predicate argument structure analysis is a task of identifying structured events. To improve this field, we need to identify a salient entity, which cannot be identified without performing coreference resolution and pred…