Toward natural language understanding by machine reading comprehension

被引：0

作者：

Nishida, Kyosuke ^{[1
]}

Saito, Itsumi ^{[1
]}

Otsuka, Atsushi ^{[1
]}

Nishida, Kosuke ^{[1
]}

Nomoto, Narichika ^{[1
]}

Asano, Hisako ^{[1
]}

机构：

[1] Knowledge Media Project, NTT Media Intelligence Laboratories, Japan

来源：

NTT Technical Review | 2019年 / 17卷 / 09期

关键词：

D O I：

暂无

中图分类号：

TB18 [人体工程学]; Q98 [人类学];

学科分类号：

030303 ; 1201 ;

摘要：

The ability of artificial intelligence (AI) to comprehend text is becoming a major topic of discussion. While natural language understanding by AI poses a difficult problem, a significant improvement in AI reading comprehension has been achieved in recent years through the application of deep learning techniques. This article introduces machine reading comprehension technology now under research and development at NTT with the aim of achieving an agent that can understand business knowledge written in manuals, understand the language used by customers, and provide appropriate answers to questions. © 2019 Nippon Telegraph and Telephone Corp.. All rights reserved.

引用

页码：9 / 14

共 50 条

[1] Reading Comprehension of Natural Language Instructions by Robots
Markievicz, Irena
Tamosiunaite, Minija
Vitkute-Adzgauskiene, Daiva
Kapociute-Dzikiene, Jurgita
Valteryte, Rita
Krilavicius, Tomas
BEYOND DATABASES, ARCHITECTURES AND STRUCTURES: TOWARDS EFFICIENT SOLUTIONS FOR DATA ANALYSIS AND KNOWLEDGE REPRESENTATION, 2017, 716 : 288 - 301
[2] Toward modeling reading comprehension and reading fluency in English language learners
Zadeh, Zohreh Yaghoub
Farnia, Fataneh
Geva, Esther
READING AND WRITING, 2012, 25 (01) : 163 - 187
[3] Toward modeling reading comprehension and reading fluency in English language learners
Zohreh Yaghoub Zadeh
Fataneh Farnia
Esther Geva
Reading and Writing, 2012, 25 : 163 - 187
[4] Methods and Trends of Machine Reading Comprehension in the Arabic Language
Alkhatnai, Mubarak
Amjad, Hamza Imam
Amjad, Maaz
Gelbukh, Alexander
COMPUTACION Y SISTEMAS, 2020, 24 (04): : 1607 - 1615
[5] Machine Reading Comprehension for the Tamil Language With Translated SQuAD
Sinthusha, Anton Vijeevaraj Ann
Charles, Eugene Y. A.
Weerasinghe, Ruvan
IEEE ACCESS, 2025, 13 : 13312 - 13328
[6] TOWARD AN UNDERSTANDING OF DEVELOPMENTAL LANGUAGE AND READING DISORDERS
KAMHI, AG
CATTS, HW
JOURNAL OF SPEECH AND HEARING DISORDERS, 1986, 51 (04): : 337 - 347
[7] Toward Understanding Natural Language Directions
Kollar, Thomas
Tellex, Stefanie
Roy, Deb
Roy, Nicholas
PROCEEDINGS OF THE 5TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI 2010), 2010, : 259 - 266
[8] DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension
Saha, Amrita
Aralikatte, Rahul
Khapra, Mitesh M.
Sankaranarayanan, Karthik
PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1, 2018, : 1683 - 1693
[9] An Understanding-oriented Robust Machine Reading Comprehension Model
Ren, Feiliang
Liu, Yongkang
Li, Bochao
Liu, Shilei
Wang, Bingchao
Wang, Jiaqi
Liu, Chunchao
Ma, Qi
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2023, 22 (02)
[10] Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?
Wu, Yulong
Schlegel, Viktor
Batista-Navarro, Riza
16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (EACL 2021), 2021, : 3565 - 3579

← 1 2 3 4 5 →