Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment

no code implementations • Findings of the Association for Computational Linguistics 2020 • Masayasu Muraoka, Tetsuya Nasukawa, Bishwaranjan Bhattacharjee

We propose a new word representation method derived from visual objects in associated images to tackle the lexical entailment task.

Informativeness Lexical Entailment

Interactive Construction of User-Centric Dictionary for Text Analytics

no code implementations • ACL 2020 • Ryosuke Kohita, Issei Yoshida, Hiroshi Kanayama, Tetsuya Nasukawa

We propose a methodology to construct a term dictionary for text analytics through an interactive process between a human and a machine, which helps the creation of flexible dictionaries with precise granularity required in typical text analysis.

Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data

no code implementations • 21 Dec 2016 • Tengfei Ma, Tetsuya Nasukawa

In this paper, we try to address two challenges of applying topic models to lexicon extraction in non-parallel data: 1) hard to model the word relationship and 2) noisy seed dictionary.

Topic Models Translation

Personality Estimation from Japanese Text

no code implementations • WS 2016 • Koichi Kamijo, Tetsuya Nasukawa, Hideya Kitamura

We created a model to estimate personality trait from authors{'} text written in Japanese and measured its performance by conducting surveys and analyzing the Twitter data of 1, 630 users.