NLDB (Natural Language Database) 2017


Notes:

  • Natural Language Interface to Databases (NLIDB)
  • Neural Natural Language Interface for Databases (NNLIDB)

Resources:

Wikipedia:

References:

See also:

Natural Language & SQL | Natural Language Interface


Natural Language Interface To Databases
M Kuthadi – ijtre.com
ABSTRACT: In the world of computing, information plays an important role in our lives. One of the major sources of information is database. Database and Database technology are having major impact on the growing use of computers. Almost all IT applications are storing

A natural language interface to a graph-based bibliographic information retrieval system
Y Zhu, E Yan, IY Song – Data & Knowledge Engineering, 2017 – Elsevier
… Two types of NLI can be distinguished: one is natural language interfaces to databases (NLIDB), in which a relational database is used to store structured information (eg, [29]); the other is natural language interfaces to knowledge bases (NLIKB) that use an ontology to manage …

Natural Language Data Management and Interfaces: Recent Development and Open Challenges
Y Li, D Rafiei – Proceedings of the 2017 ACM International …, 2017 – dl.acm.org
… Fur- thermore, users of a NLIDB typically have no precise knowl- edge of the underlying data. As a result, there often exists a mismatch between a user query and the underlying data … Aneesah: A conversational natural language interface to databases …

Survey on Natural Language Database Interfaces
S Kumar, A Gautam, S Mittal – International Journal of …, 2017 – search.proquest.com
Abstract This is the era of information technology and most of our data or information is stored in the form of databases on our computers. To extract information from our database we need to use a structured language such as SQL (Structured Query Language). Thus only

Leveraging Tokens in a Natural Language Query for NLIDB Systems
A Palakurthi – 2017 – pdfs.semanticscholar.org
Abstract Natural Language Interface to Database (NLIDB) systems convert a Natural Language (NL) query into a Structured Query Language (SQL) and then use the SQL query to retrieve information from a database. The main advantage with this function of an NLIDB

NLIDB converter for customer relationship index
GO Wijayasekara – 2017 – dl.lib.mrt.ac.lk
Information plays a significant role in our day to day life. Information affects how we look at things and make decisions. Therefore, accurate information must be readily available. With technology reaching new heights, in modern day systems and applications, the main source

Hybrid Deep Open-Domain Question Answering
A Aghaebrahimian – ufal.mff.cuni.cz
… 1 Related work Natural Language Interface to Database (NLIDB) and Machine Comprehension (MC) systems are two main areas of research which have largely contributed to the development of QA systems … NLIDB was the earliest instance of domain-dependent QA systems …

Knowledge Extraction from Database using Natural Language Processing
AR FALLE, SK PANHALKAR, AP JADHAV… – 2017 – irjet.net
… 2. LITERATURE SURVEY Miguel Liopis, Antonio Ferrandeza in [1] explained that NLIDB system and classify them based on the different approaches that they implement … I. Interactive query mechanism: they have design an interaction mechanism for NLIDB to enable …

QUESTION-ANSWERING SYSTEM
P Malhotra – 2017 – gmferd.com
… NLIDB approach is where the information seeker uses natural languag submitting the query and retrieve the results from data hence this save the user to master the dat language/schemas formulate the queries … NLIDB are the systems that trans sentence into a database query …

Design And Implementation Of Hindi Language Interface To Database
A Kumar – troindia.in
… NLIDB system is proposed as a solution to the problem for accessing information in a simple way, allowing ideally any type of users, mainly inexperienced ones; to retrieve information from a database (DB) using natural language (NL) …

Rule based Domain Specific Semantic Analysis for Natural Language Interface for Database
P Anand, Z Farooqui – International Journal of Computer …, 2017 – search.proquest.com
… “A novel approach. towards incorporating context processing capabilities in NLIDB. system” … 2009, Natural Language. Database Interface for Selection of Data Using Grammar and … 2001: The chinese natural. language interface to databases. In Database and Expert Systems …

Hindi Interaction Via NLP
SR Meshram, AD Urkude, NU Hedaoo, R Watkar… – ijtra.com
… NLIDB system is proposed as a solution to the problem for accessing information in a simple way, allowing … 3] Umair Shafique and Haseeb Qaiser, ” A Comprehensive Study on Natural Language Processing and Natural Language Interface to Databases”, International Journal …

Hindi Language GUI For Transport System Using Natural Language Processing
M BORKAR, L GAHANE, A RAUT, H REWATKAR… – 2017 – pdfs.semanticscholar.org
… M. Dua etal [20] had implemented the system based on NLP which gives output on the basis of NLIDB and HLIDB management system that give the proper result for only select, update and delete queries … [17] Seymour Knowles, “A Natural Language Database Interface For SQL …

Hindi Language As A Graphical User Interface To Relational Database For Transport System
R Nichante, S Giripunje, A Nikam, S Arsod – 2017 – irjet.net
… Researchers like Androutsopoulos, GD Ritchie and P.Tanisch gives different designs for NLIDB which is given underneath … interactive natural Language Interface to Databases(GINLIDB)”, International general of … Database”, Communications of the ACM, pp. 526-539, 1978 …

BioGraphBot: A Conversational Assistant for Bioinformatics Graph Databases
A Messina, A Augello, G Pilato, R Rizzo – International Conference on …, 2017 – Springer
… Natural Language Interface for Databases (NLIDB) have been proposed by many authors as the solution of retrieving data and information in a simple manner, opening the use of databases also to people who are neither expert of database nor of computer programming …

Review on conversion of natural language queries into SQL queries
S Malhotra – International Journal, 2017 – ijarcs.in
… The research creates an interface (NLIDB) which inputs the user query and then parses the query thereby generating an XML from that and then converts it into a SQL query that is finally executed to display the intended result …

Natural Language Interface for Multilingual Database
S Valiveti, K Tripathi, G Raval – International Conference on Information …, 2017 – Springer
… Many papers on the natural language database interface and natural language translation are available … 2009. IEEE. Natural Language Interfaces to Database (NLIDB): question handling and unit conversion. Reinaldha, Filbert and Widagdo, Tricya E. 2014. IEEE …

Natural language semantic model for arithmetic sentences
C Tapsai, P Meesad, C Haruechaiyasak – Proceedings of the 3rd …, 2017 – dl.acm.org
… NLP) have improved the way humans interface with computers in a variety of fields such as summarization or extract of information from text documents [1],[2], language translation [3], humans-computersinteraction[4], and Interfacing with Database systems (NLIDB)[5],[6 …

Identification and Resolution of Ambiguities using AV Mapping Algorithm for Query Transformation
R Ahmad, M Abid, R Ali – researchgate.net
… The accuracy of correct mapping is 85%. Keywords: NLIDB, query transformation, AV mapping algorithm, SQL 1. INTRODUCTION … This order numbering makes the algorithm efficient and unique in its processing from traditional NLIDB systems …

Dataset for a Neural Natural Language Interface for Databases (NNLIDB)
F Brad, R Iacob, I Hosu, T Rebedea – arXiv preprint arXiv:1707.03172, 2017 – arxiv.org
… Abstract Progress in natural language interfaces to databases (NLIDB) has been slow mainly due to linguistic is- sues (such as language ambiguity) and domain porta- bility … the performance of NLIDB systems. 2.1 Current approaches for NLIDB …

An Interactive Interface for Natural Language Query Processing to Database Using Semantic Grammar
MD Soumya, BA Patil – 2017 – ijariit.com
… Keywords: Database Management System (DBMS), Structured Query Language (SQL), Natural Language (NL), Natural Language Interface for Databases (NLIDB), Natural Language Query Processing (NLQP) I. INTRODUCTION …

Neural Semantic Parsing Natural Language into SQL
R Xu, A Singh – ccs.neu.edu
… 1 Introduction Natural interface to database (NLIDB) has been researched a lot during the past decades. In the core of NLIDB (Popescu et al., 2003) is a semantic parser from a natural language into SQL. For instance, given a database schema information …

A novel method for providing relational databases with rich semantics and natural language processing
K Hamaz, F Benchikha – Journal of Enterprise Information …, 2017 – emeraldinsight.com
… To overcome this problem, researchers are continuously developing new techniques for Natural Language Interfaces to Databases (NLIDB) … An NLIDB attempts to receive an NL query and converts it back into the corresponding SQL queries …

An Advanced Web-Based Bilingual Domain Independent Interface to Database Using Machine Learning Approach
Z Virk, M Dua – … of International Conference on Communication and …, 2017 – Springer
… Dua et al. [3] presented a detailed overview about the various state of the art NLIDB systems developed in the last four decades … Finally, designed NLIDB retrieves the query result from database using the query and provides the output to the user …

Logical Schema-Based Mapping Technique to Reduce Search Space in the Data Warehouse for Keyword-Based Search.
F Majeed, M Shoaib – … Arab Journal of Information Technology (IAJIT), 2017 – ccis2k.org
… semantics. The Natural Language Interface to Database (NLIDB) facilitates users to write query in natural language without having knowledge about schema and technical query language. Several NLIDB’s have been developed …

Natural Language Data Management and Interfaces
D Rafiei, Y Li – webdocs.cs.ualberta.ca
Page 1. Natural Language Data Management and Interfaces Recent Development and Open Challenges Davood Rafiei University of Alberta Yunyao Li IBM Research – Almaden Chicago 2017 Page 2. “If we are to satisfy the needs of casual users of data bases, we …

Domain Independent Keyword Identification for Question Answering
P Jwalapuram, R Mamidi – 2017 – web2py.iiit.ac.in
… economics. They achieve a best F1 score of 0.5125. [1] use the CRF algorithm [13] for concept identifica- tion in an NL query, which is an intermediary stage in a Natural Language Interface to Database (NLIDB) system. Here …

Specifics of Training of Students of Philological Department in the Professionally-Oriented Reading with the Use of Computer Technologies
DH Husnutdinov, RK Sagdieva – Indian Journal of Science and …, 2017 – indjst.org
… Muzaffar S, Behera P, NathJha G, Hellan L, Beermann D. The type craft natural language database: annotating and incorporating Urdu … Muzaffar S, Behera P, NathJha G, Hellan L, Beermann D. The type craft natural language database: annotating and incorporating Urdu …

NLCI: a natural language command interpreter
M Landhäußer, S Weigelt, WF Tichy – Automated Software Engineering, 2017 – Springer
… The system under test and the test drivers functionality could be modeled in the NLCI ontology. 2.2 Natural language interfaces to databases (NLIDB) … (1995) review the field and Martinez-Barco et al. (2013) published an overview of the applications of NLIDB …

Type-and content-driven synthesis of SQL queries from natural language
N Yaghmazadeh, Y Wang, I Dillig, T Dillig – arXiv preprint arXiv …, 2017 – arxiv.org
… ral language. While there has been considerable interest in natural language interfaces to databases (NLIDB) over the last several decades [2, 19, 30, 29, 20], existing techniques suffer from various shortcomings. For example …

Graph-based Interactive Bibliographic Information Retrieval Systems
Y Zhu – 2017 – search.proquest.com
… Two types of NLI can be distinguished: one is natural language interfaces to databases (NLIDB), in which a relational database is used to store structured information; the other is natural language interfaces to knowledge bases (NLIKB) that use an ontology to manage …

Question answering systems: the story till the Arabic linked data
A Bouziane, D Bouchiha, N Doumi… – International Journal of …, 2017 – inderscienceonline.com
… In this paper, we survey various QAS such as Natural Language Interfacing to DataBases (NLIDB), ontology-based question answering and question answering systems for unstructured data … The Natural Language Interfacing to DataBases (NLIDB) was the first subtask of QAS …

Accessing Security Incident Information on the Internet
MA Belsis, AN Godwin, L Smalov – Copyright Warning – ro.ecu.edu.au
… To provide friendly access a Natural Language Interface Database (NLIDB} system eg (Androutsopoulos et al 1995) and (Ott 1992) is used … The NLIDB server can create different views depending on the type of the user (ie manager or technical personnel) …

Natural language interface to relational database (NLI-RDB) through object relational mapping (ORM)
A Alghamdi, M Owda, K Crockett – Advances in Computational Intelligence …, 2017 – Springer
… 4. Sangeeth, N., Rejimoan, R.: An exhaustive study on NLIDB Systems and their challenges. Int. J. Comput. Adv. Eng. Res. (IJCAER) 02(02) (2015)Google Scholar. 5. Shabaz, K., O’Shea, J., Crockett, K., Latham, A.: A conversational natural language interface to databases …

A Novel Algorithm for Load Balancing in Mobile Cloud Networks: Multi-objective Optimization Approach
E Arun, A Reji, PM Shameem, RS Shaji – Wireless Personal …, 2017 – Springer
… 3. Execution speed \(\left( {f2} \right)\). $$f2 = VM_{cs} + VM_{nlidb} + VM_{scm}$$. (3). \(f2\)—Execution speed. \(VM_{cs}\)—Clock speed. \(VM_{nlidb}\)—No of lines in data bus. \(VM_{SCM}\)—Size of cache memory. These all factors are different for different virtual machines …

Posters listed by placement in display area.
C Carpenter – 2017 – earlham.edu
… Robyn: A Natural Language Interface to Database System for Medicine Ashutosh Rai Found in various platforms such as smartphones, computers, web platforms and popular commercial software, natural language interface to database (NLIDB) systems are ubiquitous in …

Natural language understanding
A Barr – AI Magazine, 2017 – vvvvw.aaai.org
… Harris, L. 1979. Experience with ROBOT in twelve commercial natural language data base query applications. IJCAI 6, pp. 365368 … San Francisco: WH Freeman. Kaplan, SJ 1979. Cooperative responses from a portable natural language data base query system …

Generating chat bots from web API specifications
M Vaziri, L Mandel, A Shinnar, J Siméon… – Proceedings of the 2017 …, 2017 – dl.acm.org
Page 1. Generating Chat Bots from Web API Specifications Mandana Vaziri IBM Research, USA mvaziri@us.ibm.com Louis Mandel IBM Research, USA lmandel@us.ibm.com Avraham Shinnar IBM Research, USA shinnar@us.ibm.com …

Generation of code from text description with syntactic parsing and Tree2Tree model
A Stehnii – 2017 – er.ucu.edu.ua
… These models also could be domain specific formal representation like a natural language database interface (Berant et al., 2013; … However, it is domain specific, since it is a natural language database interface, thus it can not be compared with general use code generation …

Artificial Intelligence And Robotics Synergy
M Sriram, RM Suresh, N Layam, PG Principal – acadpubl.eu
… Speech generation Machine Translation Natural Language databases and interface A computer or a robotic those are capable of understanding input messages or speeches in natural language require both the contextual knowledge and the process for making the interfaces …

Towards Building an Automated Fact-Checking System
D Jimenez – Proceedings of the 2017 ACM International …, 2017 – dl.acm.org
… 3. APPROACH AND UNIQUENESS The end-to-end system that I constructed consisted of three main components: the question generation system, the natural language database which would be queried using the automatically generated questions, and a method for deter …

Abductive Matching in Question Answering
K Dhamdhere, KS McCurley, M Sundararajan… – arXiv preprint arXiv …, 2017 – arxiv.org
… Gaizauskas, 2001). At the other end of the spectrum is when answers are encoded in fully structured databases, in which case the problem is cast as a natural language interface to databases (cf. (Androutsopoulos et al., 1995)). Due …

Synthesis, Analysis, and Contingent Knowledge
JS Brown – … and Understanding: Studies in Cognitive Science, 2017 – books.google.com
… The SCA model provides a framework for studying the structural similarities of a variety of superficially dissimilar high- performance understanding systems including perceptual understanding systems, natural language data base management systems and question …

Humanities, exactly!/Letteren, exact!
J Nerbonne – let.rug.nl
… ty-five years has involved CL in one way or another – in developing grammars for au- tomatic processing; software for detailed semantic analysis; applications for natural- language database query, for a language-based appointment manager, and for inter …

Ripple down rules for question answering
DQ Nguyen, DQ Nguyen, SB Pham – Semantic Web, 2017 – content.iospress.com
… A natural language interface to a database (NLIDB) is a system that allows the users to access information stored in a database by typing questions using natural language expressions [2]. In general, NLIDB systems focus on converting the input question into an expression in …

Towards portable natural language interfaces based on case-based reasoning
A Moreo, JL Castro, JM Zurita – Journal of Intelligent Information Systems, 2017 – Springer
… the mid 1980’s. Although earlier NLI focused mainly on improving the performance for specific DataBases (NLIDB), adapting the system to new domains usually entailed much effort (Grosz et al. 1987). Therefore, this tendency …

USAGE OF ARTIFICAL INTELLIGENCE FOR REAL TIME IMPLEMENTATION OF NATURAL LANGUAGE PROCESSING
C Aravind Raj, P Vignesh, M Varun Kumar – ijptonline.com
… For instance, the sentence “Do you comprehend what time it is?” ought to be translated as a demand to be told the time 5.6. Comparison of NLP system Table 1: Comparison among already developed NLIDB System S. NO SYSTEM NAME …

ASurvey OF GRAMMAR CHECKERS FOR NATURAL LANGUAGES
NS Bhirud, RP Bhavsar, BV Pawar – Computer Science & Information Technology – airccj.org
… human communication. Applications of NLP include QA (question-answering) system, Machine Translation, NL (Natural language) interface to databases, grammar checker, spell checker, chatter box, etc. Grammar checking …

The psychology of questions
AC Graesser, JB Black – 2017 – books.google.com
… W. Bean Questioning in Classrooms Teacher-Guided Questions Student Generated Questions Summary Chapter 13 Data Base Querying by Computer Steven P. Shwartz and Wendy G. Lehnert Data Base Querying: A Brief History Natural Language Data Base Access Domain …

GRAMMAR CHECKERS FOR NATURAL LANGUAGES: AReview
NS Bhirud, RP Bhavsar, BV Pawar – aircconline.com
… human communication. Applications of NLP include QA (question-answering) system, Machine Translation, NL (Natural language) interface to databases, grammar checker, spell checker, chatter box, etc. Grammar checking …

12 Ontological Structures for Higher Levels of Distributed Fusion
MM Kokar, E Brian – Distributed Data Fusion for Network-Centric …, 2017 – books.google.com
… Structured Query Language (SQL) commands and queries are then used to insert and retrieve data elements in tabular form. While it has become increasingly sophisticated over the years, SQL was initially envisioned as a natural language interface to databases …

Cognitive Program Compiler
T Kunic – 2017 – yorkspace.library.yorku.ca
… Program CPD Cognitive Program Description CPM Cognitive Program Memory FC Fixation Controller FHM Fixation History Map IDE Integrated Development Environment IE Imperative English Imp Imperative English Interpreter MM Minsky Machine NLIDB Natural Language …

Applications of Computational Linguistics to Language Studies: An Overview
S Sakthi Vel – technoarete.org
… For this problem, we are given a list of words and associated word senses. Eg form a dictionary from an online resources such as Word Net. ? Natural Language Interface to Data Bases (NLI- DB): Computers have been widely used to store and manage large amounts of data …

Exploring 4G patent and litigation informatics in the mobile telecommunications industry
CV Trappey, AJC Trappey – World Patent Information, 2017 – Elsevier
… 2.4. Patent text mining and data mining. Text mining is a reductive approach used for knowledge analysis of text documents. Text mining derives previously unknown and potentially useful information from a natural language database [28] …

Querying RDBMS using Natural Language
F Li – 2017 – deepblue.lib.umich.edu
… query builder). For example, a typical NLIDB would enable naive users to specify complex, ad-hoc query intent without training … the work presented in the rest of the dissertation. 1.1 Why NLIDB? Querying data in relational databases is often challenging …

nQuery-A Natural Language Statement to SQL Query Generator
N Sukthankar, S Maharnawar, P Deshmukh… – Proceedings of ACL …, 2017 – aclweb.org
… 223. Filbert Reinaldha and Tricya E. Widagdo. 2014. Natu- ral language interfaces to database (nlidb): Question handling and unit conversion. IEEE . F. Siasar, M. Norouzifard, SH Davarpanah, and MH Shenassa. May 2008 …

Quality of Human-Computer Interaction: Self-Explanatory User Interfaces by Model-Driven Engineering
MK Coninx, MJ Vanderdonckt, MJ Crowley, ME Dubois… – hal.inria.fr
Page 1. Qualité de l’interaction homme machine : interfaces auto-explicatives par ingénierie dirigée par les mod`eles Alfonso Garcia Frey To cite this version: Alfonso Garcia Frey. Qualité de l’interaction homme machine : interfaces …

THE CONCEPTS OF EQUIVALENCE, GAIN AND LOSS (DIVERGENCE) IN ENGLISH-URDU WEB-BASED MACHINE TRANSLATION PLATFORMS
S Muzaffar, P Behera – researchgate.net
… 15. Muzaffar, S., Behera, P., Jha, GN, Hellan, L., & Beermann, D. (2015). TypeCraft Natural Language Database: Annotating and Incorporating Urdu. Indian Journal of Science and Technology (ISSN-0974-5645), 8(27). 16. Muzaffar, S., Behera, P., & Jha, GN (2016) …

Sqlizer: Query synthesis from natural language
N Yaghmazadeh, Y Wang, I Dillig, T Dillig – Proceedings of the ACM on …, 2017 – dl.acm.org
… time. We also compare Sqlizer against a state-of-the-art NLIDB tool, Nalir, and show that Sqlizer performs significantly better across all three databases, including on the data set that is used for evaluating Nalir. Contributions …

Factoid Question Answering
A Oromo – etd.aau.edu.et
Page 1. ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES SCHOOL OF INFORMATION SCIENCES Factoid Question Answering For Afaan Oromo A THESIS SUBMITED TO THE SCHOOL OF GRADUTE STUDIES OF …

A Survey of Naturalistic Programming Technologies
O Pulido-Prieto, U Juárez-Martínez – ACM Computing Surveys (CSUR), 2017 – dl.acm.org
… that in I. Androutsopoulos and Thanisch (1995), authors reviewed how natural language interfaces could enable the generation of SQL queries from a controlled natural language input that they named natural language interfaces to database (NLIDB), identifying advantages …

Learning a neural semantic parser from user feedback
S Iyer, I Konstas, A Cheung, J Krishnamurthy… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. Learning a Neural Semantic Parser from User Feedback Srinivasan Iyer†, Ioannis Konstas†, Alvin Cheung† Jayant Krishnamurthy‡ and Luke Zettlemoyer†‡ †Paul G. Allen School of Computer Science & Engineering, Univ …

Design and development of a cognitive assistant for the architecting of earth observing satellites
A Virós Martin – 2017 – upcommons.upc.edu
… plex questions in a specific domain. This is the reason why the Historian Skill is implemented as a Natural Language Interface for a Database (NLIDB), a special kind of Restricted Domain QA system in which all the questions are translated into database queries …

Keyword-based access to relational data: To reproduce, or to not reproduce?
A Badan, L Benvegnu, M Biasetton, G Bonato… – Greco et al.[39] – dei.unipd.it
Page 1. Keyword-based access to relational data: To reproduce, or to not reproduce? Alex Badan, Luca Benvegn`u, Matteo Biasetton, Giovanni Bonato, Alessandro Brighente, Stefano Marchesin, Alberto Minetto, Leonardo Pellegrina …

A comparative analysis of permutation combination based and grammatical rule based knowledge provider system
P Mukherjee, B Chakraborty – Intelligent Decision …, 2017 – content.iospress.com
… Maximum NLIDB uses the Syntax-based system. The syntax-based system de- scribed in [25] that natural languages queries from client side are parsed. In this approach the semantic in- terpreter also follow some rules to transform the parse tree to the intermediate logic query …

Syntax and Semantics Question Analysis Using User Modelling and Relevance Feedback
A Saany, I Syarilla, A Mamat, A Mustapha… – … Journal on Advanced …, 2017 – media.neliti.com
Page 1. Vol.7 (2017) No. 1 ISSN: 2088-5334 Syntax and Semantics Question Analysis Using User Modelling and Relevance Feedback Syarilla I. Ahmad Saany # , Ali Mamat * , Aida Mustapha * , Lilly S. Affendey * ,M. Nordin A. Rahman # …

AUTOMATED SEMANTIC QUERY FORMULATION USING MACHINE LEARNING APPROACH.
RA Kadir, A RUFAI YAURI – Journal of Theoretical & Applied …, 2017 – search.ebscohost.com
Page 1. Journal of Theoretical and Applied Information Technology 30th June 2017. Vol.95. No 12 © 2005 – ongoing JATIT & LLS ISSN: 1992-8645 www.jatit.org E-ISSN: 1817-3195 2761 AUTOMATED SEMANTIC QUERY FORMULATION USING …

Aspect and tense attrition in Russian-German bilingual speakers
O Dragoy, E Virfel, A Yurchenko… – International Journal …, 2017 – journals.sagepub.com
Purpose: The impact of second language (L2) on first language (L1), known as L2 transfer, has been suggested as a fundamental driving force of L1 attrition. The…

TiQi: a natural language interface for querying software project data
J Lin, Y Liu, J Guo, J Cleland-Huang, W Goss… – Proceedings of the …, 2017 – dl.acm.org
… Interactions, 4(6):42–61, 1997. [19] C. Thompson, R. Mooney, and L. Tang. Learning to parse natural language database queries into logical form. Proceedings of the ICML-97 Workshop on Automata Induction, Grammatical Inference, and Language Acquisision, 1997 …

A Bibliography of Publications in International Journal of Computer Processing of Oriental Languages and International Journal of Computer Processing of …
NHF Beebe – 2017 – ctan.math.utah.edu
Page 1. A Bibliography of Publications in International Journal of Computer Processing of Oriental Languages and International Journal of Computer Processing of Languages Nelson HF Beebe University of Utah Department …

Argument Invention with the Carneades Argumentation System
D Walton, TF Gordon – 2017 – dougwalton.ca
Page 1. Walton and Gordon 168 Volume 14, Issue 2, December 2017 Argument Invention with the Carneades Argumentation System Douglas Walton* and Thomas F. Gordon** © 2017 Douglas Walton and Thomas F. Gordon …

Knowledge Representation and Reasoning with Deep Neural Networks
AR Neelakantan – 2017 – scholarworks.umass.edu
Page 1. University of Massachusetts Amherst ScholarWorks@UMass Amherst Doctoral Dissertations Dissertations and Theses 2017 Knowledge Representation and Reasoning with Deep Neural Networks Arvind Ramanathan Neelakantan …

Semantic Textual Similarity for Hindi
D AGARWAL – 2017 – web2py.iiit.ac.in
Page 1. Semantic Textual Similarity for Hindi Thesis submitted in partial fulfillment of the requirements for the degree of Masters of Science in Computational Linguistics by Research by DARSHAN AGARWAL 201225189 darshan.agarwal@research.iiit.ac.in …

Sensory Computing and Object Processing Entity: Assistive Robotics for Healthcare
JVI Bachkosky, A Boukhvalova, K Chou… – 2017 – drum.lib.umd.edu
Page 1. ABSTRACT Title of Thesis: SENSORY COMPUTING AND OBJECT PROCESSING ENTITY: ASSISTIVE ROBOTICS FOR HEALTHCARE John Bachkosky VI, Alexandra Boukhvalova, Kevin Chou, William Gunnarsson, James Ledwell, Brendan McTaggart …

A Complete Bibliography of ACM Transactions on Database Systems
NHF Beebe – 2017 – tug.ctan.org
Page 1. A Complete Bibliography of ACM Transactions on Database Systems Nelson HF Beebe University of Utah Department of Mathematics, 110 LCB 155 S 1400 E RM 233 Salt Lake City, UT 84112-0090 USA Tel: +1 801 581 5254 FAX: +1 801 581 4148 …

Joint Probabilistic Reasoning About Coreference And Relations Of Universal Schema
A McCallum, N Monath – 2017 – dtic.mil
Page 1. JOINT PROBABILISTIC REASONING ABOUT COREFERENCE AND RELATIONS OF UNIVERSAL SCHEMA UNIVERSITY OF MASSACHUSETTS AMHERST OCTOBER 2017 FINAL TECHNICAL REPORT APPROVED …

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