Multi-turn Dialogue Technology and Its Application in Power Grid Data Query by WANG Kai, LI Zhou-jun, SHENG Wen-bo, CHEN Shu-wei, WANG Ming-xuan, LIU Jian-qing, LAN Hai-bo, ZHANG Rui

“…With the integration of information technology and traditional industries,it has become a trend to use computer-controlled machines instead of humans to perform repetitive,boring and even dangerous tasks.In order to effectively interact with computers in natural language,human-computer interaction and dialogue systems based on multi-turn dialogue technology have become a research hotspot in the field of artificial intelligence and natural language processing.In the grid control system,the dispatcher needs to do a large number of query operations manually.To reduce the complexity of existing dispatching system and improve the speed of emergency handling of dispatchers,multi-turn dialogue technology can be applied to realize intelligent voice query of power grid data.This paper first describes the basic architecture of the task-oriented multi-turn dialogue system,including functions and related algorithms of its three modules:natural language understanding,dialogue management,and natural language generation.Next,in order to meet the demand of power grid companies for specific scenarios such as intelligent data queries,this paper designs and implements a multi-module task-oriented multi-turn dialogue system which consists of natural language understanding module,dialogue management module,natural language generation module and knowledge base as core mo-dules.The grid dispatcher can ask the system questions and get answers in the form of natural language.This process does not require keyboard or mouse operations,which greatly improves the rapidity and convenience of the grid information query.…”
Get full text

Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

“…A long-term goal of Artificial Intelligence (AI) is to provide machines with the capability of understanding natural language. Understanding natural language may be referred as the system must produce a correct response to the received input order. …”
Get full text

Building a Chinese discourse topic corpus with a micro-topic scheme based on theme-rheme theory by Xue-feng Xi, Guodong Zhou

“…Abstract Background How to build a suitable discourse topic structure is an important issue in discourse topic analysis, which is the core of natural language understanding. Not only is it the key basic unit to implement automatic computing, but also the key to realize the transformation from unstructured data to structured data during the process of big data analytics. …”
Get full text

Expectation-based comprehension of linguistic input: facilitation from visual context by Pushpita, Subha Nawer

“…In naturalistic language understanding, the visual scene often provides crucial context (Ferreira et al., 2013; Huettig et al., 2011). …”
Get full text

Deep learning for reading and understanding language by Kočiský, T

“…<p>This thesis presents novel tasks and deep learning methods for machine reading comprehension and question answering with the goal of achieving natural language understanding.</p> <p>First, we consider a semantic parsing task where the model understands sentences and translates them into a logical form or instructions. …”

Enhancing Parameter Efficiency in Model Inference Using an Ultralight Inter-Transformer Linear Structure by Haoxiang Shi, Tetsuya Sakai

“…Extensive experiments were conducted to validate the performance of LayerConnect for two essential tasks with completely different learning frameworks and purposes: natural language understanding (using the general language understanding evaluation (GLUE) benchmark) and information retrieval (using the a contextualized inverted list (COIL) framework). …”
Get full text

Argumentation mining: How can a machine acquire common sense and world knowledge? by Marie-Francine Moens

“… Argumentation mining is an advanced form of human language understanding by the machine. This is a challenging task for a machine. …”
Get full text

Cinematic Polyphony in Lucrecia Martel’s Cinema: The Musicality of Narrative Film in ‘The Headless Woman’ by Jerónimo Sarmiento

“…This paper provides an overview of the concept of musicality in fiction cinema language, understanding the comparative analysis of both art forms and considering cinema as a potentially musical construction. …”
Get full text

SLRTP 2020: The Sign Language Recognition, Translation and Production Workshop by Camgöz, NC, Varol, G, Albanie, S, Fox, N, Bowden, R, Zisserman, A, Cormier, K

“…The objective of the “Sign Language Recognition, Translation & Production” (SLRTP 2020) Workshop was to bring together researchers who focus on the various aspects of sign language understanding using tools from computer vision and linguistics. …”

Grounding language in events by Fleischman, Michael Ben

Get full text

Presupposition in Lexical Analysis and Discourse by Bullwinkle, Candace L.

Get full text

Hermeneutics: From Textual Explication to Computer Understanding? by Mallery, John C., Hurwitz, Roger, Duffy, Gavan

“…Hermeneutics, a branch of continental European philosophy concerned with human understanding and the interpretation of written texts, offers insights that may contribute to the understanding of meaning, translation, architectures for natural language understanding, and even to the methods suitable for scientific inquiry in AI. …”
Get full text

Development of Dialogue Management System for Banking Services by Samir Rustamov, Aygul Bayramova, Emin Alasgarov

“…In the work, the main two components of DMS—Natural language Understanding (NLU) and Dialogue Manager—have been investigated. …”
Get full text

Bidirectional Influences of Emotion and Action in Evaluation of Emotionally-Connoted Words by Audrey Milhau, Thibaut Brouillet, Loïc Heurley, Denis Brouillet

“…After a brief definition of the embodied approach of cognition, the activity of language understanding is presented as an off-line embodied process implying sensory-motor resonance. …”
Get full text

ANALYZING THE USE OF CAPITAL LETTERS IN THE THESIS INTRODUCTION OF PGSD STUDENTS AT UNIVERSITAS RIAU by Meisy Edriana

“…The accuracy of spelling measures a person’s language understanding. Making a mistake is a natural thing, but it does not mean that a writer ignores the rules in writing, especially in the use of capital letters. …”
Get full text

Reassessing Constructions in the ARTEMIS Parser by Francisco Cortés Rodríguez, Ricardo Mairal Usón

“… The aim of this study is to reexamine the status of constructions in ARTEMIS (Automatically Representing TExt Meaning via an Interlingua-based System), a Natural Language Understanding prototype that seeks to provide the syntactic and semantic structure of a given fragment in a natural language. …”
Get full text

ANALIZA COMPARATIVĂ A PRINCIPALILOR ALGORITMI SaaS PENTRU RECUNOAȘTEREA AUTOMATĂ DE ENTITĂȚI ÎN LIMBA ROMÂNĂ by Bogdan IANCU

“…There are processes defined that allow the text written in Romanian to be translated in one of the languages supported by the algorithms provided by DBpedia (DBpedia Spotlight), Google (Google Cloud Natural Language API), Microsoft (the NER module from Azure Machine Learning Studio) and IBM (IBM Watson Natural Language Understanding), and afterwards the F1 score is computed in order to identify the optimal process. …”
Get full text

Building Kurdish Chatbot Using Free Open Source Platforms by Kanaan M. Kaka-Khan

“…Chatbot is a program that utilizes natural language understanding and processing technology to have a human-like conversation. …”
Get full text

Pronoun interpretation in Mandarin Chinese follows principles of Bayesian inference. by Meilin Zhan, Roger Levy, Andrew Kehler

“…Successful natural language understanding requires that comprehenders be able to resolve uncertainty in language. …”
Get full text

Representing the Semantics of Natural Language as Constraint Expressions by Grossman, Richard W.

Get full text