RegEx & Chatbots – Meta-Guide.com

Notes:

Regular expressions (RegEx) can be used in dialog systems such as chatbots to match user inputs to predefined patterns. Chatbots use RegEx to understand and interpret user inputs, and match them to predefined patterns. This allows the chatbot to respond to user inputs in a way that is specific to the input received.

For example, a chatbot that is designed to assist users in booking a flight might use regular expressions to match user inputs such as “I want to book a flight” or “Can you help me book a flight?” to the predefined pattern of “book a flight.”

RegEx can also be used to extract specific information from user inputs. For example, a chatbot designed to assist users with customer service issues might use regular expressions to extract specific information such as the customer’s name, account number, or issue details from the user’s input.

Additionally, RegEx can be used to validate user inputs to ensure that they match certain criteria. For example, a chatbot that is designed to assist users in booking a hotel might use regular expressions to validate that the user’s input includes a valid date range, number of guests, and room type.

The references below discuss the use of regular expressions (regex) in dialog systems, particularly in chatbots. It mentions that regex is used to extract variables or entities, but this approach has limitations as it only allows the use of predefined phrases. The text also discusses the use of other techniques such as natural language processing, machine learning, and deep neuronal nets in chatbots. It mentions that there is a need for chatbots that can mimic human conversation as much as possible and support complex dialog flow between the user and the bot. The text also mentions that chatbot developers are using Rasa architecture for building flexible and task-oriented dialogue systems.

Wikipedia:

From process models to chatbots
A López, J Sànchez-Ferreres, J Carmona… – … Conference on Advanced …, 2019 – Springer
… Also, it includes some useful additional features, like custom tags o full RegEx support, as well … this paper, we have set up an AIML interpreter demonstrating some generated chatbots for a … In https://bpm.cs.upc.edu/chatbot we provide very simple queries for detecting processes …

Building an enterprise chatbot: Work with protected enterprise data using open source frameworks
A Singh, K Ramasubramanian, S Shivam – 2019 – books.google.com
… for Private Chatbots…..63 Workflow … and Generation…..71 Chatbot Architecture…..73 … Word Search Using Regex…..85 Word …

Knowledge Based Chatbot with Context Recognition
RA Wijaya, EM Kusumaningtyas… – 2019 International …, 2019 – ieeexplore.ieee.org
… Regex usually removes symbols such as question marks, connecting symbols, repeat symbols, points, commas and numbers … Speeding up calculations is needed in the chatbot system because quick answer is the advantage of chatbots …

Artificial Neural Network Based University Chatbot System
N Bhartiya, N Jangid, S Jannu, P Shukla… – 2019 IEEE Bombay …, 2019 – ieeexplore.ieee.org
… 4. Regex Extraction: Words such as ‘can’t’, ‘don’t’, ‘b.tech’, ‘m.tech’ can be … artificial intelligence in the field of education and counseling by means of application based chatbots as one … FUTURE WORK The current scope of our Chatbot was limited to building a prototype for guiding …

Using Web Harvested Semi-Structured Data to Build an Inspirational Chatbot
H Collins, S Aslam – researchgate.net
… In this Eliza implementation, input sentences are analyzed and transformed into responses using regular expressions (regex) [4] which is similar to the behaviour of a … In the chatbot project, the Eliza bot is used to get the user to open up about a topic or issue relevant to their …

Lecturer-Chatbot: An AI for Advising Struggling Students in Introductory Programming Extended Abstract SACLA 2019
M Ismail, A Ade-Ibijola – sacla2019.unisa.ac.za
… Advisory Tool for struggling student compared to other popular chatbots like SIRI … Keywords: Novice programmers, Introductory programming, Chatbot, Auto- mated Advisory, Artificial Intelligence … Regex Parser II: Teaching regular expression fundamentals via educational gaming …

Lecturer-Chatbot: An AI for Advising Struggling Students in Introductory Programming
M Ismail, A Ade-Ibojola – FOREWORDS: SACLA 2019 PROCEEDINGS – academia.edu
… Tool for struggling student compared to other popular chatbots like SIRI (A … Keywords: Novice Programmers, Introductory Programming, Chatbot, Automated Advisory, Artificial Intelligence in … Regex Parser II: Teaching regular expression fundamentals via educational gaming …

Building an Enterprise Chatbot
A Singh, K Ramasubramanian, S Shivam – Springer
… Word Search Using Regex …..85 … xxii • Learn how to deploy a complete in-house-built chatbot using an open source technology stack like RASA and Botpress (such chatbots avoid sharing any PIIs with any third-party tools) …

Lecturer’s Apprentice: A Chatbot for Assisting Novice Programmers
M Ismail, A Ade-Ibijola – 2019 International Multidisciplinary …, 2019 – ieeexplore.ieee.org
… 51, no. 2, p. 77, 1996. [28] D. Zumstein and S. Hundertmark, “Chatbots–an interactive technology for … CRC Press, 2007. Page 8. [33] A. Rosenfeld, A. Ade-Ibijola, and S. Ewert, “Regex Parser II … Springer, 2017, pp. 99–112. [34] “How to build a chatbot – ibm watson.” [Online] …

Eaglebot: A Chatbot Based Multi-Tier Question Answering System For Retrieving Answers From Heterogeneous Sources Using BERT
M Rana – 2019 – digitalcommons.georgiasouthern …
… training data (Feng et al., 2006). All these aforementioned chatbots systems work for a … me a pizza”, the chatbot needs to know more details about the order like: pizza size, top … collection.find(“Title”: “$regex”: “.* course id + “.*” teacher name”: “$regex”: Page 21. 17 …

A Novel In-House Implementation of a Chatbot Framework
A Singh, K Ramasubramanian, S Shivam – Building an Enterprise Chatbot, 2019 – Springer
… A conversational chatbot should support complex dialog flow between the user and the bot, and we aim to build a chatbot that can mimic human conversation as much as possible. Usually, chatbots are limited to a request-response based flow and are not driven as dialog or …

DIUbot-A Chatbot for DIU Admission Section
M Reza, RB Kalim, M Muid, A Al – 2019 – dspace.daffodilvarsity.edu.bd
… and also manually which was pre-processed under many different packages like regex. That was employed a well-known unsupervised clustering approach namely K-means … alone account for about 4 billion users. So, the worldwide demand of chatbot … chatbots [6]. Arruda et …

Build Chatbot Interactions: Responsive, Intuitive Interfaces with Ruby
D Pritchett – 2019 – books.google.com
… Page 10. Early praise for Build Chatbot Interactions Effective teams automate their workflows, and chatbots are one of the best ways to capture and share repeated tasks. Daniel Pritchett is the perfect teacher to get you instantly productive creating chat-integrated automations …

Chatbot in English Classrooms
M Vogel, I Nussbaumer – fhnw.ch
… Nevertheless, the most useful applications of dialog systems such as digital personal assistants or bots are currently goal … Another issue was the chatbot’s inability to make use of linguistic knowledge because, unlike machine learning-based chatbots (see chapter 2.1.2 …

Implementation and evaluation of a shopping assistance chatbot in an e-commerce case
T Böger – 2019 – run.unl.pt
… This can be for example information retrieval from a knowledge base, true machine translation, or a dialogue system (Chowdhury, 2005 … At first, a definition of the term chatbot is given to then explain different types of bots. Chatbots in the literature share several different names …

ArgueBot: Enabling debates through a hybrid retrieval-generation-based chatbot
I Kulatska – 2019 – essay.utwente.nl
… 2.2 Chatbots 9 Page 15. like the chatbot is. Chatbots can also be evaluated by conducting user tests and using surveys to determine user satisfaction (Higashinaka et al., 2018). 2.3 Conclusion Concluding the literature review …

Making Chatbots More Conversational: Using Follow-Up Questions for Maximizing the Informational Value in Evaluation Responses
P Hilding – 2019 – diva-portal.org
… techniques to un- derstand and process the context of the text and grasp dialogue flow to resemble human communication [5]. These chatbots are able to … Furthermore, it is likely that the response rate of re- views is increased by using a chatbot instead of a traditional survey or …

Deep Reinforcement Learning for Task-Oriented Dialogue
N Iregbulem, S Yakhmi – pdfs.semanticscholar.org
… of commercial chatbots continue to rely on relatively simplistic approaches such as regex matching and … framework Rasa (rasa.com) has popularized a new architecture for chatbots with flexible … task-oriented dialogue systems, which are of particular relevance to chatbot contexts …

LABEEB: Intelligent Conversational Agent Approach to Enhance Course Teaching and Allied Learning Outcomes Attainment.
Y ALMURTADHA – Journal of Applied Computer Science & …, 2019 – search.ebscohost.com
… A review on the Chatbots design techniques concluded with a comparison was presented in [14]. III … the contents and prepare it for displaying by removal of “\\<[ using regular expression (Regex) … Combining speech recognition with smart NLP cause a charming chatbot …

Integration of Wit API with Python Coded Terminal Bot
S Jain, S Sharma, R Tomar – Emerging Technologies in Data Mining and …, 2019 – Springer
… The input sentence is split into words using regex (Fig … This paper work results in an ideology or a cheat sheet for the future developing chatbots to add intelligent work … The aim of the paper is to apply a chatbot or intelligent online assistant with text and voice inputs integrated …

Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems
M Saffar Mehrjardi – 2019 – era.library.ualberta.ca
… engaged when they feel that they have become friends with the chatbot. Ama … chatbots, and customer-service chatbots. Deployment of task-oriented chat … bot, and better customer experience given the continuous and uninterrupted …

FASTDial: Abstracting Dialogue Policies for Fast Development of Task Oriented Agents
SS Tekiroglu, B Magnini, M Guerini – … of the 57th Annual Meeting of the …, 2019 – aclweb.org
… Please enter one of the options among : ”} , ”mandatory” : true , ”regex” : ”money to { slot }”} , { slot name ” : ”Amount” , ”slot type” : ”Currency” , ”constraint” : ” € ” dependency” : ”FromAccount … Dialog sys- tems and chatbots … Pydial: A multi- domain statistical dialogue system toolkit …

Exploring and processing text data
A Kulkarni, A Shivananda – Natural language processing recipes, 2019 – Springer
… Using the regex and replace() function, we can remove the punctuation as shown below: import re. s = “I. like … Say, for example, in the context of a search engine, if your search query is “How to develop chatbot using python,” if the search engine tries to find web pages that …

IIT Gandhinagar at SemEval-2019 Task 3: contextual emotion detection using deep learning
A Pamnani, R Goel, J Choudhari, M Singh – Proceedings of the 13th …, 2019 – aclweb.org
… detec- tion system that aims to detect the emotion of a person textually conversing with a chatbot … Applications include detecting depres- sion (Wang et al., 2013) or teaching empathy to chatbots (WILSON, 2016) … Use regex to remove repetition of letters at the end of a token …

An Architecture for Dynamic Conversational Agents for Citizen Participation and Ideation
S Ahmed – researchgate.net
… During each transaction with the Chat- bot, an utterance is sent to the Chatbot’s understanding unit to parse and interpret … task-oriented Chatbot. Processing Method Chatbots can be further classified according to the way the process input and gen- erate output …

Deployment and a Continuous Improvement Framework
A Singh, K Ramasubramanian, S Shivam – Building an Enterprise Chatbot, 2019 – Springer
… 2. Once we log in, we can then copy our Spring Boot JAR from local using the SCP command: scp -i chatbot-iris.pem /path/to/iris.jar ec2-user@ec2-instance-ip.compute-1.amazonaws.com:/ path/to … It is a regex, which means the entire utterance value is under the utteranceSlot slot …

Benchmarking natural language understanding services for building conversational agents
X Liu, A Eshghi, P Swietojanski, V Rieser – arXiv preprint arXiv …, 2019 – arxiv.org
… Again, Dialogflow, LUIS and Rasa perform well on this task. 1 Introduction Spoken Dialogue Systems (SDS), or Conversational Agents are ever more com- mon in home and work environments, and the market is only expected to grow … Can provide synonym and regex features …

Automatic Generation of Virtual Assistants from Databases using Active Ontologies.
M Blersch, S Weigelt, WF Tichy, K Angele – SEKE, 2019 – ksiresearch.org
… I. INTRODUCTION Virtual assistants and other systems with conversational interfaces (CI) are used by an ever-growing number of people. Users ask Siri for their next meeting, talk to chatbots, or tell Alexa to turn on the lights … Gather Address RegEx ZIP Voc. City Voc. Street Voc …

Natural language processing recipes
A Kulkarni, A Shivananda – 2019 – Springer
… Advanced feature engineering techniques (word2vec and fastText) to capture context. • Information/Document Retrieval Systems, for example, search engine. • Chatbot, Q & A, and Voice-to-Text applications like Siri and Alexa. INTRODUCTION Page 23. xxv …

A Hybrid Agent System to Detect Stress Using Emotions and Social Media Data to Provide Coping Methodologies
R Maddumage, S Kitchilan… – … , SLAAI-ICAI 2018 …, 2019 – books.google.com
… using these inputs when the system identifies the student is stressed then the Chat Bot module is … The chat modules data layer is where the Chatbot holds general con- versations that can … then it will be redirected to provide default responses which uses regex mechanisms and …

Oracle Digital Assistant
L Bors, A Samajdwer, M van Oosterhout – Springer
… Assistants. This book provides you with an on-ramp to the development of enterprise-grade chatbots and digital assistants … Cloud. In the first part of the book, you will learn the basic principles of digital assistant – AKA chatbot – technology …

Spoken dialogue systems for medication management
J Zheng, R Finzel, S Pakhomov, M Gini – International Workshop on Health …, 2019 – Springer
… PyDial [9] is a multi-domain statistical spoken dialog system toolkit that provides a framework for … Additional work would be needed for the dialogue system to interface with existing patient or pharmacy … 1. Our first iteration of this project uses regex-based handcrafted rules in both …

Adviser: A dialog system framework for education & research
D Ortega, D Väth, G Weber, L Vanderlyn… – Proceedings of the 57th …, 2019 – aclweb.org
… both sides, we frame this challenge as a game – the CrossTick game – in which computer scientists try to achieve high regex coverage and … 4.2 Components of Dialog Systems … Our preliminary human study shows that with our toolkit one can easily build a useful dialog system …

From words to pixels: text and image mining methods for service research
FV Ordenes, S Zhang – Journal of Service Management, 2019 – emerald.com
… text and image data, such as natural language processing, computer vision, machine learning, deep neuronal nets and chatbots are of … mining techniques, such as part-of-speech (POS) tagging, bag of words (BOW), wildcards and regular expressions (REGEX), have developed …

Corporate IT-support Help-Desk Process Hybrid-Automation Solution with Machine Learning Approach
K Shanmugalingam, N Chandrasekara… – 2019 Digital Image …, 2019 – ieeexplore.ieee.org
… Tickets will be created for admin-groups. The issue will be solved using automated messages through a chat bot solution. If … metadata. Regular expression (regex) can be used for searching strings by defining a search pattern …

TUM Data Innovation Lab
H Agarwala, R Becker, M Fatima, L Riediger, A Belitski… – 2019 – di-lab.tum.de
… 14 4.1.3 Intent Entity Featurizer Regex … The potential is quite big as developers could improve their chatbots over time … It also provides the flexibility to modify the pipeline and deploy the entire chatbot from personal servers …

Almawave-SLU: A new dataset for SLU in Italian
V Bellomaria, G Castellucci, A Favalli… – arXiv preprint arXiv …, 2019 – arxiv.org
… and Web Application Corpus were extracted from StackEx- change and the third one, ie, Chatbot Corpus, was derived from a Telegram chatbot … This pipeline con- sists of a WhiteSpaceTokenizer, that was modi- fied to avoid the filter of punctuation tokens, a Regex Featurizer, a …

An Unsupervised Approach to Automatic Response Generation for Conversational e-Commerce Agents using Monte Carlo Tree Search
S Mukherjee – cs229.stanford.edu
… We built a map from contracted to un-contracted words and passed the extracted set of dialogues through a regex filter to cap … J. Zumer, J. Harris, E. Fine, R. Mehrotra, and K. Suleman, “Frames: a corpus for adding memory to goal- oriented dialogue systems,” in Proceedings of …

Generating discourse inferences from unscoped episodic logical formulas
G Kim, B Kane, V Duong, M Mendiratta… – Proceedings of the First …, 2019 – aclweb.org
… These filtering patterns are written in aug- mented regex patterns. Figure 3 shows two such augmented regex patterns for plain and inverted if-then counterfactual constructions … These tags refer to regex frag- ments that are reusable and conceptually coherent to people …

Conversation Facts
C Kang, N Miller, J Marks – 2019 – vtechworks.lib.vt.edu
… We used the Argumentative Dialogue Summary Corpus: Version 1?[1] from Natural Language and Dialog Systems as our dataset for this project … Generally, we do this by selecting a regex of parts of speech that create a phrase …

Natural Language Processing, Understanding, and Generation
A Singh, K Ramasubramanian, S Shivam – Building an Enterprise Chatbot, 2019 – Springer
… Some chatbots are heavy on generative responses, and others are built for retrieving information and fitting it in a predesigned … Since this book is about building an enterprise chatbot, we will focus more on the applications of PUG in natural languages … Word Search Using Regex …

Python machine learning blueprints: put your machine learning concepts to the test by developing real-world smart projects
A Combs, M Roman – 2019 – books.google.com
… Fully-connected layers and output Building a convolutional neural network to classify images in the Zalando Research dataset, using Keras Summary Chapter 9: Building a Chatbot The Turing Test The history of chatbots The design of chatbots Building a chatbot 190 192 195 …

Environmental Advocacy Messages: Relationships between the Messages that Constituents Send to Decision Makers and Organizational Engagement
DF Choy – 2019 – drum.lib.umd.edu
… managers — in advocacy, in congressional offices, and everywhere — are hiring developers to build and add chat-bot services to their portfolio of communication tools. Form-based action campaigns on websites still exist, but chatbots reach people in …

Developing an Adaptive Language Model for Bahasa Indonesia
JT No, TB Batu – 13.233.42.234
… many applications, eg automatic speech recognition (ASR) [2], [3], spoken dialog systems [4], and … blogs, and writing forums; 2) Cleansing the mistyped text using Regex, where the … A. Potamianos, and I. Zitouni, “Adaptive language models for spoken dialogue systems,” in 2002 …

At the Lower End of Language—Exploring the Vulgar and Obscene Side of German
E Eder, U Krieg-Holz, U Hahn – Proceedings of the Third Workshop on …, 2019 – aclweb.org
… slightly more advanced means of camouflage, such as fake Web identities, including non-benevolent software agents and chatbots (McIntire et … data flow is represented by dashed blue arrows, green arrows and ‘+’ stand for lexical data harvesting (with RegEx-style expressions …

Predicting stock prices using ensemble learning and sentiment analysis
U Pasupulety, AA Anees, S Anmol… – 2019 IEEE Second …, 2019 – ieeexplore.ieee.org
… Since the proposed work will be used to develop a chat-bot application which can be used by novice traders to get started, ignoring the Volatility Index as a … For preprocessing of tweets, we do the following: • Regex: Getting rid of extra spaces, punctuations, emoti- cons, etc …

Medical and health systems
D Sonntag – The Handbook of Multimodal-Multisensor Interfaces …, 2019 – dl.acm.org
… Application domains include serious games, conversational agents, or dialogue systems for healthy behavior promotion; intelligent interactive … 11.4.1 Case Study 1: A Multimodal Dialog System In this case study, we present a dialogue system for the annotation and retrieval of …

The roles bots play in Wikipedia
L Zheng, CM Albano, NM Vora, F Mai… – Proceedings of the ACM …, 2019 – dl.acm.org
… Wikipedia bots we may gain insight into bots in other contexts that are less transparent (for example, chat bots), and, more … use structural role theory to classify chatbots in Twitch into five roles including information, moderation messages and warnings, user-engagement, mini …

Hacking Neural Networks: A Short Introduction
M Kissner – arXiv preprint arXiv:1911.07658, 2019 – arxiv.org
Page 1. Hacking Neural Networks: A Short Introduction Michael Kissner v1.02 (November 18, 2019) Abstract A large chunk of research on the security issues of neural net- works is focused on adversarial attacks. However, there …

Dialog Acts Classification for Question-Answer Corpora.
S Chakravarty, RVSP Chava, EA Fox – ASAIL@ ICAIL, 2019 – ceur-ws.org
… We read the content parsed by Apache Tika line by line and use regular expressions (regex) in Python to search for a pattern within each line of the text. Using regex in Python, we convert every line to a string which contains only alphabets, periods, and question marks …

Neural Networks for Modeling Source Code Edits
R Zhao, D Bieber, K Swersky, D Tarlow – arXiv preprint arXiv:1904.02818, 2019 – arxiv.org
Page 1. NEURAL NETWORKS FOR MODELING SOURCE CODE EDITS Rui Zhao? Google Brain David Bieber? Google Brain Kevin Swersky Google Brain Daniel Tarlow Google Brain ABSTRACT Programming languages …

QUORA INSINCERE QUESTIONS CLASSIFICATION
M SINGH – 2019 – dspace.dtu.ac.in
… A growing number of businesses are now adopting Chatbots and software capable of creating contents … So, the common misspellings are checked out when using American/ British vocab and replacing a few “modern” words with “social media” for this task a multi regex script …

Deep Learning for Session Aware Conversational Agents
M Morisio, MA Senese – 2019 – webthesis.biblio.polito.it
… shows how this type of technique could be an important piece in the development of future chatbots. iv … In 1972 the psychiatrist Kenneth Colby implemented PARRY a chatbot that simulates a person affected by … 1.2.3 ’95 – Jabberwacky and ALICE heuristic based chat- bots …

DeepDoc: Natural Language Processing with Deep Neural Networks for the American Board of Internal Medicine Certification Exam
J Wang, B Chau, K Chou, JH Chen – researchgate.net
… 3.2 Preprocessing We used Regex and BeautifulSoup to parse the following fields for each question (28) … [8] “This AI Just Beat Human Doctors On A Clinical Exam.” [9] Sam Finnikin, “Babylon’s ‘chatbot’ claims were no more than clever PR | Article | Pulse Today.” …

Accuracy evaluation of methods and techniques in Web-based question answering systems: a survey
AA Shah, SD Ravana, S Hamid, MA Ismail – Knowledge and Information …, 2019 – Springer
… The next generation (1980s and 1990s) was known as dialogue systems [32], where the system interacts with the user interactively by asking questions to reach a decisive answer … Sentence-matching algorithm. Keywords/Regex sentence matching. Keywords sentence matching …

An Ontology-Driven Information System based on Vladimir Propp’s Morphology of the Folktale for Southern African Folktales
F Pannach – 2019 – dbis.informatik.uni-goettingen.de
Page 1. ISSN 1612-6793 Master’s Thesis submitted in partial fulfilment of the requirements for the course “Applied Computer Science” An Ontology-Driven Information System based on Vladimir Propp’s Morphology of the Folktale for Southern African Folktales …

Semantically aligned sentence-level embeddings for agent autonomy and natural language understanding
NE Fulda – 2019 – scholarsarchive.byu.edu
… 46 3.2 Comparison between regex and regexv. Here, [taxi] is shorthand for the intent … can be found directly within linguistic embeddings, and that this knowledge can be extracted and utilized for real-world applications like robot navigation and dialog systems. We further …

Towards a Modular Framework for Human-Robot Interaction and Collaboration
AF Gavril, AS Ghita, A Sorici… – 2019 22nd International …, 2019 – ieeexplore.ieee.org
… Another drawback is that it only allows the use of regex to extract variables or entities which highly limits the expressivity since only a set of predefined phrases can be used … Last accessed November 2018. [20] RT GmbH, “Rasa nlu: Language understanding for chatbots and ai …

The Best Computer Jobs in America: Twenty Minutes from Home
IV RPG – cbtcampus.com
Page 1. The Best Computer Jobs in America: Twenty Minutes from Home Java and the AS/400: Practical Examples for the iSeries and AS400, Second Edition Programming in RPG IV, Third Edition Fortress Rochester: The Inside …

Deep Learning for Natural Language Processing: Solve your natural language processing problems with smart deep neural networks
KR Bokka, S Hora, T Jain, M Wambugu – 2019 – books.google.com
Page 1. Deep Learning for Natural Language Processing Solve your natural language processing problems with smart deep neural networks Karthiek Reddy Bokka, Shubhangi Hora, www.packt.com Tanuj Jain and Monicah Wanbugu Page 2 …

Medical and Health
D Sonntag – The Handbook of Multimodal-Multisensor Interfaces …, 2019 – books.google.com
… Page 453. 11.1 Introduction 427 Glossary Application domains include serious games, conversational agents, or dialogue systems for healthy behavior promotion; intelligent … Case Study 1: A Multimodal Dialog System In this case study, we present a dialogue system for the …

Of Lions and Yakshis
F Pannach, C Sporleder, W May, A Krishnan… – semantic-web-journal.net
Page 1. Semantic Web 0 (0) 1 1 IOS Press 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 …

Study of Argument Structure in Parliamentary Debates
SVK Rohit – 2019 – web2py.iiit.ac.in
Page 1. Study of Argument Structure in Parliamentary Debates Thesis submitted in partial fulfillment of the requirements for the degree of Masters of Science in Exact Humanities by Research by Sakala Venkata Krishna Rohit 201356204 rohit.sakala@research.iiit.ac.in …

Emoticon Analysis for Chinese Social Media and E-commerce: The AZEmo System
S Yu, H Zhu, S Jiang, Y Zhang, C Xing… – ACM Transactions on …, 2019 – dl.acm.org
… Emoticon Extraction Algorithm Input: Message/Sentence Output: Extracted emoticon/partial emoticon if input contains an entry in emoticon dictionary then return that entry; else find a triplet from the input based on triplet lexicon; if a triplet is found then go to RegEx module; else if …

Knowledge extraction from simplified natural language text
H Abdelaal – corpus, 2019 – aran.library.nuigalway.ie
Page 1. Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published version when available. Downloaded 2020-06-11T17:41:08Z Some rights reserved. For more information, please see the item record link above …

A Systematic Approach for Automatically Answering General-Purpose Objective and Subjective Questions
LP Acharya – 2019 – repository.lib.fit.edu
… 1960s by the MIT Artificial Intelligence Laboratory to demonstrate the communication between humans and machines. Similar to a chatbot, ELIZA uses pattern matching and substitution methodologies to simulate conversations. DOCTOR is an example of a script …

Design and Implementation of a Web-Based Software for the OPC Unified Architecture Integrated into a Semantic Ques-tion Answering in the Domain of Smart …
O Oruc – researchgate.net
Page 1. Department of Computer Science Data Management System Group Master Thesis Design and Implementation of a Web-Based Software for the OPC Unified Architecture Integrated into a Semantic Ques- tion Answering in the Domain of Smart Factory Orcun Oruc …

Folksonomy Based Question Answering System
S Ramaswamy – 2019 – utd-ir.tdl.org
Page 1. FOLKSONOMY BASED QUESTION ANSWERING SYSTEM by Swetha Ramaswamy APPROVED BY SUPERVISORY COMMITTEE: _____ Dr. Dan Moldovan, Chair …

Agent-based programming interfaces for children supporting blind children in creative computing through conversation
T Quach – 2019 – dspace.mit.edu
Page 1. Agent-based Programming Interfaces for Children Supporting Blind Children in Creative Computing through Conversation by Tina Quach Submitted to the Department of Electrical Engineering and Computer Science …

Exploring Phone Recognition in Pre-verbal and Dysarthric Speech
SS Arshad – 2019 – digital.lib.washington.edu
… This is an understudied aspect of speech recognition, which usually caters to commercial applications involving the speech of able-bodied adults. Children are not expected to call customer-service and navigate a spoken-dialog system. Adults …