Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLC, IPSJ-DC |
2018-09-06 10:10 |
Tokyo |
Seikei University |
An Evaluation Method for Estimating the Degree of Difficulty to Extract Writer's Emotion based on Response Time in Annotating Emotion Sanae Yamashita, Yasushi Kami (NIT, Akashi College), Eri Kato, Takeshi Sakai, Noriyuki Okumura (Otemae Univ.) NLC2018-9 |
This research examines the degree of difficulty in estimating emotions in Japanese short sentences based on the response... [more] |
NLC2018-9 pp.1-6 |
NLC, IPSJ-DC |
2018-09-06 10:35 |
Tokyo |
Seikei University |
Target Detection for Sarcasm Identification Satoshi Hiai, Kazutaka Shimada (Kyutech) NLC2018-10 |
Sarcasm identification has been treated as a task that classifies text as sarcastic or non-sarcastic. Sarcasm identifica... [more] |
NLC2018-10 pp.7-11 |
NLC, IPSJ-DC |
2018-09-06 11:00 |
Tokyo |
Seikei University |
NLC2018-11 |
Human beings have lost their philosophy and transformed themselves into overdependence due to science and technology. Dr... [more] |
NLC2018-11 pp.13-18 |
NLC, IPSJ-DC |
2018-09-06 13:10 |
Tokyo |
Seikei University |
A Consideration on Analysis of Interaction Analysis Using Japanese Learner's Conversation Database and Analysis of Dialogue collapse
-- Toward detection of dialog crash and application to dialog system -- Hiromitsu Ota (OUJ) NLC2018-12 |
Recently, the introduction of chat bots to enterprises has become popular instead of human beings. However, although dee... [more] |
NLC2018-12 pp.19-24 |
NLC, IPSJ-DC |
2018-09-06 13:35 |
Tokyo |
Seikei University |
Text analytics, sound analytics, cognitive science and search engine Tabuchi, Ryuji (Mint PhEdIns) NLC2018-13 |
(Advance abstract in Japanese is available) [more] |
NLC2018-13 pp.25-30 |
NLC, IPSJ-DC |
2018-09-06 14:00 |
Tokyo |
Seikei University |
A Hybrid Text/Data Analytics for Insight Marketing Makoto Ichise (NTT DOCOMO) NLC2018-14 |
This research presentation is the most important content to utilize the value at voice of customer's(VoC).
We just doin... [more] |
NLC2018-14 pp.31-36 |
NLC, IPSJ-DC |
2018-09-06 14:50 |
Tokyo |
Seikei University |
[Invited Talk]
Lawyers and Language Processing Technology
-- The Future and Perspective of Corporate Legal Affairs that LegalForce Aims for -- Ruka Funaki (LegalForce) NLC2018-15 |
(Advance abstract in Japanese is available) [more] |
NLC2018-15 p.37 |
NLC, IPSJ-DC |
2018-09-06 15:40 |
Tokyo |
Seikei University |
[Invited Talk]
Analytics of analyst reports using natural language processing technology and machine learning Kenji Hiramatsu (IFIS) NLC2018-16 |
(Advance abstract in Japanese is available) [more] |
NLC2018-16 p.39 |
NLC, IPSJ-DC |
2018-09-06 16:30 |
Tokyo |
Seikei University |
Analysis of Relation Factors among Nations using News Articles Ryota Ikushima, Takeru Yokoi (TMCIT) NLC2018-17 |
(Advance abstract in Japanese is available) [more] |
NLC2018-17 pp.41-46 |
NLC, IPSJ-DC |
2018-09-06 16:55 |
Tokyo |
Seikei University |
Word Sense Disambiguation Incorporating Auxiliary Context for Short Sentences Minoru Sasaki (Ibaraki Univ.) NLC2018-18 |
In this paper, I propose a Word Sense Disambiguation (WSD) method by using supplemental context for short examples. In t... [more] |
NLC2018-18 pp.47-50 |
NLC, IPSJ-DC |
2018-09-06 17:20 |
Tokyo |
Seikei University |
Latent co-occurrence words graph extraction using sparse structure estimation
-- Comparison of word vectors between topic model and distributed representation -- Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2018-19 |
We are considering application of "structural topic model" in order to extract customer insight from member questionnai... [more] |
NLC2018-19 pp.51-56 |
NLC, IPSJ-DC |
2018-09-07 13:10 |
Tokyo |
Seikei University |
Short text categorization with fine-tuning Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto (Univ of Yamanashi) NLC2018-20 |
We propose an approach for multi-label categorization of short texts and explore the use of a hierarchical structure (HS... [more] |
NLC2018-20 pp.73-78 |
NLC, IPSJ-DC |
2018-09-07 13:35 |
Tokyo |
Seikei University |
Investigation of Features focusing on Interpretation for Metrical Analysis of Literary Text Shun Watanabe, Takeru Yokoi (TMCIT) NLC2018-21 |
Various features are used for metrical analysis of literary text, which are depending on the task. In tasks aim at inter... [more] |
NLC2018-21 pp.79-84 |
NLC, IPSJ-DC |
2018-09-07 14:00 |
Tokyo |
Seikei University |
Knowledge exploration by combining machine learning and text mining
-- Content analysis of newspaper articles on Regional Branding -- Hirofumi Omori (Meisei Univ.) NLC2018-22 |
The purpose of this research is to examine a knowledge exploration method by combining machine learning and text mining.... [more] |
NLC2018-22 pp.85-90 |
NLC, IPSJ-DC |
2018-09-07 15:00 |
Tokyo |
Seikei University |
[Invited Lecture]
Zhang Peinan (CyberAgent) NLC2018-23 |
[more] |
NLC2018-23 p.91 |
NLC, IPSJ-DC |
2018-09-07 15:30 |
Tokyo |
Seikei University |
[Invited Lecture]
Toru Shimizu (Yahoo Japan) NLC2018-24 |
In this presentation, we report highlights from 56th Annual Meeting of the Association for Computational Linguistics (AC... [more] |
NLC2018-24 p.93 |
NLC, IPSJ-DC |
2018-09-07 16:00 |
Tokyo |
Seikei University |
[Invited Lecture]
Hidetaka Kamigaito (TITECH) NLC2018-25 |
[more] |
NLC2018-25 p.95 |
NLC, IPSJ-DC |
2018-09-07 16:50 |
Tokyo |
Seikei University |
Detection of Food and Drink Expressions in Restaurant Review Services Yasutaka Shindoh (Digital Garage), Suzushi Tomori (Kyoto Univ.), Kohei Tomita (Kakaku.com), Atsunori Kanemura (Digital Garage), Shinsuke Mori (Kyoto Univ.) NLC2018-26 |
(Advance abstract in Japanese is available) [more] |
NLC2018-26 pp.97-102 |
NLC, IPSJ-DC |
2018-09-07 17:15 |
Tokyo |
Seikei University |
Method to Extend Coverage of Domain Dictionary Based on Distributed Representations of Words Ryota Takagi, Kazuhiro Kazama (Wakayama Univ), Takeshi Sakaki (Hotto Link) NLC2018-27 |
(Advance abstract in Japanese is available) [more] |
NLC2018-27 pp.103-108 |
NLC, IPSJ-DC |
2018-09-07 17:40 |
Tokyo |
Seikei University |
Extraction of causal information belong to business segments from securities reports Kaito Takano, Hiroyuki Sakai, Ryozo Kitajima (Seikei Univ.) NLC2018-28 |
In this research, we propose a method of extracting business segments from securities reports and extracting sentences i... [more] |
NLC2018-28 pp.109-112 |