Notes:
The question answering module is a component of a dialog system that is responsible for generating answers to questions that are posed by the user. This module typically receives input from a variety of other modules, such as the natural language understanding module, the conversation control module, and the ontology extraction module. It then uses this information to generate answers to the user’s questions.
The question answering module typically includes a set of rules or algorithms that define how the system should generate answers to different types of questions. For example, the module may use rules to determine the appropriate form and content of answers to questions that are asking for specific facts or information, such as the capital of a country or the date of a historical event. It may also use algorithms to generate more complex or open-ended answers to questions that require inference or reasoning, such as questions that ask for opinions or predictions.
Once the answers have been generated, they are passed to the language generation module, which converts them into natural language text that can be output to the user. The language generation module may also apply additional processing, such as summarization or paraphrasing, to make the generated text more concise and coherent.
Overall, the function of the question answering module is to help the dialog system generate appropriate answers to the user’s questions. This can help improve the quality and accuracy of the system’s responses, and make the interaction more informative and useful for the user.
- Knowledge query
- Question analysis
- Semantic analyser
- SPARQL query generator
- UNLKB (UNL ontology)
Wikipedia:
References:
- Question Answering Systems: The Story till the Arabic Linked Data (2017)
- Interactive Multi-modal Question-answering (2011)
See also:
AutoTutor | GATE & GATECloud | GISTexter | PowerAqua 2017 | YourQA (York Question Answering System)
Compositional memory for visual question answering
A Jiang, F Wang, F Porikli, Y Li – arXiv preprint arXiv:1511.05676, 2015 – arxiv.org
… episodes. We then feed the episodes to a standard question answering module together with the con- textual visual information and linguistic information. The use of local features inevitably leads to the quest about region selection …
Neural self talk: Image understanding via continuous questioning and answering
Y Yang, Y Li, C Fermuller, Y Aloimonos – arXiv preprint arXiv:1512.03460, 2015 – arxiv.org
… asked. The key compo- nents include a Visual Question Generation (VQG) module and a Visual Question Answering module, in which Recurrent Neural Networks (RNN) and Convolutional Neural Network (CNN) are used …
Tell-and-answer: Towards explainable visual question answering using attributes and captions
Q Li, J Fu, D Yu, T Mei, J Luo – arXiv preprint arXiv:1801.09041, 2018 – arxiv.org
… can see that although the system fails to predict the correct answer, the explanations for the image are indeed relevant to the question and the system also recognize the key in- formation “cow.” This indicates that the error is caused by the question answering module rather than …
VQABQ: visual question answering by basic questions
JH Huang, M Alfadly, B Ghanem – arXiv preprint arXiv:1703.06492, 2017 – arxiv.org
… The Co-Attention mechanism inspires us to build part of our VQABQ model, illustrated by Figure 2. In the VQABQ model, there are two main modules, the basic question gen- eration module (Module 1) and co-attention visual question answering module (Module 2). We take the …
Playing with knowledge: A virtual player for “Who Wants to Be a Millionaire?” that leverages question answering techniques
P Molino, P Lops, G Semeraro, M de Gemmis… – Artificial Intelligence, 2015 – Elsevier
… most relevant passages of text useful to identify the correct answer to a question, 2) an Answer Scoring (AS) module, which assigns a score to each candidate answer according to different criteria based on the passages of text retrieved by the Question Answering module, and 3 …
CRQA: Crowd-powered real-time automatic question answering system
D Savenkov, E Agichtein – Fourth AAAI Conference on Human Computation …, 2016 – aaai.org
… of our system. Automatic question answering module When CRQA receives a question, it generates a set of search queries to retrieve a set of relevant documents and extract candidate answer passages. Search queries are …
A Chinese question answering system for specific domain
T Li, Y Hao, X Zhu, X Zhang – International Conference on Web-Age …, 2014 – Springer
… Page 8. This frame can be converted to 4 constrains: ( e, song, x) ( e, male, ?) ( e, nationality, ??) ( e, style, ??) 5.3 cQA module Our system has a cQA(Community Question Answering) module [2] to get the answer if direct answer cannot be retrieved from knowledge base …
Speech-based visual question answering
T Zhang, D Dai, T Tuytelaars, MF Moens… – arXiv preprint arXiv …, 2017 – arxiv.org
… In a sense, one can think of the ASR as a feature extractor, with text being the salient feature and an explicit intermediate standardization of data before the question answering module. Conversely, the only audio data SpeechMod learns from are the questions in the dataset …
Developing an Intelligent Question Answering System
W Ahmed, A Dasan, AP Babu – International Journal of Education …, 2017 – researchgate.net
… Repeated question is returned to verify the current question, its semantic features are used to match already answered questions from the database. The repeated question answering module will save resources(for processing the question and finding the answer) …
Integrating smart glasses with question-answering module in assistant work environment
R Nambu, T Kimoto, T Morita, T Yamaguchi – Procedia Computer Science, 2016 – Elsevier
Recently, smart glasses have been applied in field work, with which a worker goes well during work by contacting a support operator from a remote location. The worker, however, cannot go well if the support operator is not there. To solve the issues, the paper discusses …
A personal agents hybrid architecture for question answering featuring social dialog
M Coronado, CA Iglesias… – … on Innovations in …, 2015 – ieeexplore.ieee.org
… B. Question Answering The Question Answering module takes part with those user queries where he/she asks for a particular piece of information, ie as with a regular QA system. The QA Analyzer uses domain-specific grammars to extract the precise meaning of the query …
Delay Assessment Framework for Automated Question-Answering System: An Approach for eLearning Paradigm
MM Iqbal, Y Saleem – EURASIA Journal of Mathematics …, 2017 – pdfs.semanticscholar.org
… The addition of the new constraint always delayed the auto correction of student question and definitely the question-answering module … The addition of the new constraint always delayed the auto correction of students question and definitely the question-answering module …
Applying deep learning to answer selection: A study and an open task
M Feng, B Xiang, MR Glass, L Wang… – 2015 IEEE Workshop …, 2015 – ieeexplore.ieee.org
… Natural language understanding based spoken dialog system has been a popular topic in the past years of artificial intelli- gence renaissance. Many of those influential systems include a question answering module, eg Apple’s Siri, IBM’s Wat- son and Amazon’s Echo …
ARQAS: Augmented Reality based Question Answering System using Ontology in HINDI and MARATHI Language
D Amin, S Govilkar – International Journal of Computer …, 2015 – researchgate.net
… textual for Marathi language. In question answering module, input query is first tokenized into separate tokens and word grouping is performed on tokenized query considering bigrams and trigrams tokens. Tokenized input query …
Cycle-consistency for robust visual question answering
M Shah, X Chen, M Rohrbach… – Proceedings of the …, 2019 – openaccess.thecvf.com
… Previous attempts [18] at naively generating questions conditioned on the answer and using them without filtering to augment the training data have been unsuccessful. Like the visual question answering module, the visual question generation module is also not perfect …
Survey on Answer Validation for Indonesian Question Answering System (IQAS)
A Abdiansah, A Azhari, AK Sari – International Journal of Intelligent …, 2018 – mecs-press.org
… Internet, Word Frequencies and Weighting [18] 2008 Syntactic Parser, Semantic Analyzer, Question Answering Module Prolog Rules … Machine Learning (SVM) [20] 2008 Syntactic Parser, Semantic Analyzer, Question Answering Module Augmented with Axioms Prolog Rules …
Superagent: A customer service chatbot for e-commerce websites
L Cui, S Huang, F Wei, C Tan, C Duan… – Proceedings of ACL 2017 …, 2017 – aclweb.org
… To this end, we first split the review text into sentences and run opinion mining modules to extract the as- pects and corresponding opinions. We then use the text question answering module to generate re- sponses (ie review sentences) …
Blindfold baselines for embodied qa
A Anand, E Belilovsky, K Kastner, H Larochelle… – arXiv preprint arXiv …, 2018 – arxiv.org
… REINFORCE [24]. This model consists of a hierarchical navigation module: a planner and a controller, and a question answering module that acts when the navigation module has given up control. In a later work, Das et al. [6 …
Learning by asking questions
I Misra, R Girshick, R Fergus… – Proceedings of the …, 2018 – openaccess.thecvf.com
… 4. Approach We propose an LBA agent built from three modules: (1) a question proposal module that generates a set of ques- tion proposals for an input image; (2) a question answering module (or VQA model) that predicts answers from (I,q) pairs; and (3) a question selection …
T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine
Z Liu, E Peng, S Yan, G Li, T Hao – Proceedings of the 27th International …, 2018 – aclweb.org
… The overall system architecture is shown as Figure 1.The system has two major mod- ules: a question answering module and a knowledge retrieval module … The question answering module utilizes deep learning models to understand questions by analyzing question intents …
Information navigation system based on POMDP that tracks user focus
K Yoshino, T Kawahara – Proceedings of the 15th Annual Meeting of the …, 2014 – aclweb.org
… previously implemented. The baseline system is operated by a score of the question-answering module using predicate- argument structures (Yoshino et al., 2011) and reg- ular expressions for TP and GR modules. The DST …
Debate Dialog for News Question Answering System ‘NetTv’-Debate Based on Claim and Reason Estimation
R Marumoto, K Tanaka, T Takiguchi… – IWSDS, May, 2018 – me.cs.scitec.kobe-u.ac.jp
… articles are created. Using these four index tables, voice search is achieved by using keywords. In the NetTv system, to answer a wide range of questions from users, a question answering module is constructed. In the QA module …
Conversational system for information navigation based on POMDP with user focus tracking
K Yoshino, T Kawahara – Computer Speech & Language, 2015 – Elsevier
Skip to main content …
KVQA: Knowledge-aware Visual Question Answering
S Shah, A Mishra, N Yadati, PP Talukdar – 2019 – dosa.cds.iisc.ac.in
… o = ? j pijoij. 4. Question answering module: The sum of output repre- sentation o and question q are fed to a multi-layer percep- tron f? where ? is a trainable parameter … During training, we train memory and question represen- tation and question-answering module jointly …
Alquist: The alexa prize socialbot
J Pichl, P Marek, J Konrád, M Matulík… – arXiv preprint arXiv …, 2018 – arxiv.org
… samples. The rest of the samples ware used as a validation data. Question answering The question answering module is used whenever the user asks a factoid question. These questions are recognized by the module recognizer …
An architecture for telenoid robot as empathic conversational android companion for elderly people
R Sorbello, A Chella, M Giardina, S Nishio… – … Autonomous Systems 13, 2016 – Springer
… 5 Question Answering Module. In order to make the interaction between human and humanoid as naturally as possible the system has been equipped with a module called “Question Answering” which allows us to obtain answers to questions posed in natural language …
A Novel Semantic Similarity Based Technique for Computer Assisted Automatic Evaluation of Textual Answers
UK Chakraborty, S Roy, S Choudhury – Advanced Computing, Networking …, 2014 – Springer
… Abstract. We propose in this paper a unique approach for the automatic evaluation of free text answers. A question answering module has been developed for the evaluation of free text responses provided by the learner. The …
DeepPavlov: open-source library for dialogue systems
M Burtsev, A Seliverstov, R Airapetyan… – Proceedings of ACL …, 2018 – aclweb.org
… Therefore, Skills are usually associated with dialogue tasks. There are currently three Skills implemented in the library, namely, modular and sequence-to-sequence goal-oriented skills as well as question answering module. Finally, the core concept of the library is an Agent …
Building cmu magnus from user feedback
S Prabhumoye, F Botros, K Chandu… – Alexa Prize …, 2017 – m.media-amazon.com
… 2.2 Community Question Answering System The Community Question Answering module (CQA) was designed to be an open-domain question- answering system, primarily used to respond to non-factoid and abstract questions (For example, My cat is pregnant …
LELA-A natural language processing system for Romanian tourism
B Varga, AD Trambitas-Miron, A Roth… – 2014 Federated …, 2014 – ieeexplore.ieee.org
… Extractor structures information from blogs in Romanian language. The Question Answering module handles queries in natural language against the assertions in the Lela ontology. The Data Collector module identifies and imports …
Shifting the baseline: Single modality performance on visual navigation & qa
J Thomason, D Gordan, Y Bisk – arXiv preprint arXiv:1811.00613, 2018 – arxiv.org
… The model presented along with this benchmark trains a navigation and a visual question answering module separately, then ad- joins them for embodied question answering. In this paper, we evaluate only on the visual question answering portion of this task.4 …
Semantic Similarity Based Approach for Automatic Evaluation of Free Text Answers Using Link Grammar
UK Chakraborty, R Gurung… – 2014 IEEE Sixth …, 2014 – ieeexplore.ieee.org
… illustrates the proposed methodology, section IV provides the implementation details for the question answering module, section V provides the results obtained and section VI provides the conclusion. II. LINK GRAMMAR The …
The application of multimedia and modern network for college sports curriculum teaching
Y Ren – 2014 IEEE Workshop on Advanced Research and …, 2014 – ieeexplore.ieee.org
… On-line question-answering module includes BBS, online FAQ and exercise Suggestions three child module, its main function is to provide students and teachers, between students and between students and teachers and teachers of answering questions after class or …
A Talker Ensemble: The University of Wroclaw’s Entry to the NIPS 2017 Conversational Intelligence Challenge
J Chorowski, A Lancucki, S Malik… – The NIPS’17 …, 2018 – Springer
… 4.3.2.2 Wikipedia QA. Our primary question answering module combines our implementation of FastQA (Weissenborn et al … Our question answering module would benefit greatly from a large QA dataset where the context is not strictly necessary to find an answer …
A cognitive assistant for learning java featuring social dialogue
M Coronado, CA Iglesias, Á Carrera… – International Journal of …, 2018 – Elsevier
… 3.1.2. Question answering. The Question Answering module takes part with those user queries where he/she asks for a particular piece of information, ie as with a regular QA system. The QA Analyzer uses domain-specific grammars to extract the precise meaning of the query …
Adaptive and automated online assessment evaluation system
PAA Dumal, WKD Shanika… – 2017 11th …, 2017 – ieeexplore.ieee.org
… Figure 2 shows the architecture of the web based question answering module … A. Evaluation Of Modules 1) Answer Generation Module There are several parameters that has been used to analyze the performance of the Question Answering module …
LaSEWeb: Automating search strategies over semi-structured web data
O Polozov, S Gulwani – 2016 – microsoft.com
Page 1. LaSEWeb: Automating Search Strategies over Semi-structured Web Data Oleksandr Polozov ? University of Washington polozov@cs.washington.edu Sumit Gulwani Microsoft Research sumitg@microsoft.com ABSTRACT …
Design and implementation of knowledge sharing system based on WeChat small program
X Gu, L Yang, S Cao – 2018 IEEE 3rd Advanced Information …, 2018 – ieeexplore.ieee.org
… According to functions, the knowledge sharing system can be divided into six modules: video resource module, article resource module, question answering module, credits module, auditing module and recommendation module …
The first conversational intelligence challenge
M Burtsev, V Logacheva, V Malykh, IV Serban… – The NIPS’17 …, 2018 – Springer
… literature. An information retrieval module retrieves facts from the databases, and scores their relevance to the conversation. The selected passages are used to generate answers using a question-answering module. The QA …
DIR—A semantic information resource for healthcare datasets
J Shi, M Zheng, L Yao, Y Ge – 2017 IEEE International …, 2017 – ieeexplore.ieee.org
… Building on them, we developed methods to extract knowledge from the datasets as well as existing research articles that have analyzed these datasets. We also developed a question-answering module that answers novice questions that have been posted on the web …
Emory IrisBot: An open-domain conversational bot for personalized information access
A Ahmadvand, I Choi, H Sahijwani… – Proc. Alexa …, 2018 – m.media-amazon.com
… As a solution, we designed a general question-answering module that uses social question answering archives such as Quora.com to search for related questions to the customer’s utterance, and suggest possible answers provided for that question …
Multimedia Teaching Platform Construction Based on Flash Interaction Technology for Gymnastics.
C Xia – International Journal of Emerging Technologies in …, 2018 – search.ebscohost.com
… Fig. 4. Specific structure of distance backstage management center Online question answering module conducts online question answering in au- dio/video form after online connection of user question signal accessed to remote terminal through network …
Web-based collaborative learning system and its key techniques.
Y Xia, Z Wang, Y Li, J Hu – International Journal of …, 2015 – pdfs.semanticscholar.org
… technology. Question- answering module is an important one of the system … extraction. The automatic question answering module can be used to reduce the workload of teachers and improve the learning efficiency of students …
A Language Visualization System
E Ünal – 2014 – denizyuret.com
… generality and ambiguity of the language in order to visualize the natural language text. A question answering module is built as well to answer certain types of spa- tial inference questions after the scene generation process is completed. The system …
Study of Higher Institutes Platform Based on Cloud Computing
XC Feng – Applied Mechanics and Materials, 2014 – Trans Tech Publ
… With the network forum, online question answering module to realize the strategy of cooperative learning, personalized learning according to the teacher courseware, teaching resources, student, and to study the effect of training exercises and online testing …
Integrating Smart Glasses with Question-Answering Module in Assistant Work Environment
R Nambu, T Morita, T Yamaguchi – The Review of Socionetwork Strategies, 2017 – Springer
Recently, smart glasses have been applied in the field of maintenance, with which a worker goes well during work by contacting a support operator from a remote location. The worker, however, cannot go well if the support operator is not there. To solve the issues, this paper …
Visual Question Answering Using Various Methods
S Qu – pdfs.semanticscholar.org
… 3.5.2 Dynamic Memory Network(DMN) Therefore, for DMN model, I only applies weighted sum and ReLU for attention mechanism. The filtered visual feature are concatenated with the question features and input into question answering module directly. 4 Test and Discussion …
Embodied Question Answering: Supplementary Document
A Das, S Datta, G Gkioxari, S Lee, D Parikh, D Batra – openaccess.thecvf.com
… autoencoder reconstruction are shown in Figure 1. 3. Question Answering Module The question answering module predicts the agents’ beliefs over the answer given the agent’s navigation. It first encodes the question with an …
Arabic Question Answering with Dialogue Support
W Ahmed – Global Journal of Computer Science and …, 2017 – computerresearch.org
… II. Architecture of Qa System A question is submitted to the dialogue inter- face, which passes it to the QA system. The question answering module will generate a query from the ques- tion terms and pass the expanded query to a search engine and interacts with the user model …
Solving the Prerequisites: Improving Question Answering on the bAbI Dataset
V Su – cs229.stanford.edu
… model. The model takes advantage of the relevant sentence labels and can be trained in a supervised fashion. We found that joint training of the attention mechanism and the question answering module yields the best results. Let …
Machine Consciousness and Question Answering
J Kontos – 2016 – article.scirea.org
… module, the text pre-processing module, the ontology extraction module, the shallow parsing or text chunking module, the question answering module and the metagnostic processing … The question answering module finds the answer to the question from the pre-processed text …
Improve and Implement an Open Source Question Answering System
S Shenoy – 2017 – scholarworks.sjsu.edu
… to the complexity of such a system. As part of the project, we have improved the performance of an existing Question Answering Module [10] in Yioop. The work includes implementing a similar Question Answer system for Hindi which is an Indian language …
Robustness Analysis of Visual Question Answering Models by Basic Questions
JH Huang – 2017 – repository.kaust.edu.sa
… of VQA models. In the VQABQ model, there are two modules: the basic question genera- tion module (Module 1) and the visual question answering module (Module 2). We take the query question, called the main question (MQ), encoded by Skip-Thought Vectors [11], as …
Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain Adaptation
CH Lee, YN Chen, HY Lee – ICASSP 2019-2019 IEEE …, 2019 – ieeexplore.ieee.org
… Fig. 1. Flow diagram of the SQA system. ken document. SQA can be solved by the concatenation of an ASR module and a question answering module. Given the ASR hypotheses of a spoken document and a question, the question answering module can output a text answer …
AQuAA: Amazon Question Answering Assistant
SS Chavan, X Choudhury, S Dash, NN Gafoor – 2018 – researchgate.net
… They used an archi- tecture constituting of a question-answering module along with an episodic module, which proved useful for associating the query to the best answer by focussing on only a few pieces of text at any given time …
Learning from On-Line User Feedback in Neural Question Answering on the Web
B Kratzwald, S Feuerriegel – The World Wide Web Conference, 2019 – dl.acm.org
… This module also manages the datasets that are used for learning the question-answering capabilities. The question-answering module provides the actual system that takes a question as input and then suggests an answer …
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data
M Han, M Kang, H Jung, SJ Hwang – arXiv preprint arXiv:1903.06164, 2019 – arxiv.org
… question), to solve the task. For each action, the environment (question answering module) provides the reward R(t), that is given ei- ther as the F1-score or the accuracy. 3.2 Episodic Memory Reader Episodic Memory Reader (EMR …
IS2R: A System for Refining Reverse Top-k Queries
Q Liu, Y Gao, L Zhou, G Chen – 2017 IEEE 33rd International …, 2017 – ieeexplore.ieee.org
… The reverse top-k querying module is implemented by using the state-of-the-art reverse top-k query processing algorithms [5]. The users’ question answering modules, the focus of this demonstration, contain why-not question answering module, why question answering module …
Personalized Prediction of Suicide Risk for Web-based Intervention
A Alambo, M Gaur, U Kursuncu, K Thirunarayan… – 2018 – corescholar.libraries.wright.edu
… Development of a question answering module that utilizes the summaries of a user and questions from C-SSRS to fill the questionnaire. Contributions … consumed effectively by the Question-Answering module. Users’ posts come in different lengths and quantity …
Design of Network Teaching System Based on Autonomous Learning and Cooperative Learning
W Zhang, H Pan, T Li, R Qie – 2015 International Conference on …, 2016 – atlantis-press.com
… The system is composed of seven parts, which are basic information management module, course module, collaborative learning module, operation module, learning reflection module, question answering module and evaluation module …
Application Of Cloud Computing Based On E-Learning Teaching Tool
A Shereen – 2016 – pdfs.semanticscholar.org
… The complete system is sub modules into four modules. (A) Introduction module, (B) Templates module, (C) Question Answering module and (D) Download module … C. Question Answering Module: Using generic methods answer can be generated …
Reverse Top-k Query Result Analysis and Refinement System
Y Gao, Q Liu – Preference Query Analysis and Optimization, 2017 – Springer
… by employing the state-of-the-art reverse top-k query algorithm [6]. The users questions answering modules, which are the focuses of this demonstration, include causality and responsibility problem addressing module, why-not and why question answering module, and why …
Towards an Automated Contact Centers (An Implementation of Artificial Intelligence and Text Mining techniques for CRM)
MMI Sakre – pdfs.semanticscholar.org
… 4 THE QUESTION ANSWERING MODULE: If the customer query has no answer from the fourth module the query is sent to the Question Answering module to retrieve an answer as a response based on a stored data. The stored data may be in a form of a textual form …
Intent Understanding in a Virtual Agent
A Venkataraman, A Anantha – … of the 9th International Conference on …, 2017 – dl.acm.org
… For example, if the statement is recognized as asking for information the question answering module will need to be invoked to provide response … While the overall Virtual agent solution has, many modules including Question answering module, action execution module …
Development of Lecture Attendance System for Staff Performance Rating in a Tertiary Institution using Fingerprint Technology
TG Omomule, AO Akingbesote… – International Journal of …, 2019 – researchgate.net
… This paper aims at promoting staff efficiency at work by developing a secure attendance management system for use in tertiary institutions via two subsystems; Fingerprint biometrics as a method of identification and authentication and Question-Answering module for staff …
Alquist: An Open-Domain Dialogue System
J Pichl – radio.feld.cvut.cz
… 3.7. Question answering The question answering module is used whenever the user asks a factoid question. These types of questions are recognised by the module recognizer. The actual process of generating answers is delegated to YodaQA [18] …
Intelligent Assistant for People with Low Vision Abilities
F Rameau, D Yoo, IS Kweon – Image and Video Technology: 8th …, 2018 – books.google.com
… Page 468. Intelligent Assistant for People with Low Vision Abilities 455 people to orient in their surrounding environment, we have integrated a visual question answering module into our system … Fig. 5. Visual results of depth question answering module …
Intelligent Assistant for People with Low Vision Abilities
O Bogdan, O Yurchenko, O Bailo, F Rameau… – Pacific-Rim Symposium …, 2017 – Springer
… LSTM network represents the decoder. On the other hand, to help visually impaired people to orient in their surrounding environment, we have integrated a visual question answering module into our system … 5. Fig. 5. Visual results of depth question answering module …
Research and Design of Online Teaching Platform Based on Html5 and Flex RIA
GAN Hong, PAN Dan – DEStech Transactions on Environment …, 2016 – dpi-proceedings.com
… The existing online teaching platform mainly consists of the modules of the learning module, the tutor’s question answering module, and the module of the correction module, the online examination system and the communication between teachers and students …
Extracting Factual Min/Max Age Information from Clinical Trial Studies
Y Hou, D Ganguly, LA Deleris, F Bonin – arXiv preprint arXiv:1904.03262, 2019 – arxiv.org
… Page 5. tence/clause which contain the min/max age value. We believe that with the additional min/max age information, the question-answering module can locate the position of the min/max age value and learn various patterns for the target question …
Data Interpretation and Reasoning Over Scientific Plots
P Ganguly, N Methani, MM Khapra – 2018 – openreview.net
… (viii) Further, the Question Answering module which takes the question and the semi-structured table and predicts the (ix) answer. a legend name to the marker whose bounding box is closest to the bounding box of the legend name …
Enhancing DLV for Large-Scale Reasoning
N Leone, C Allocca, M Alviano, F Calimeri… – … Conference on Logic …, 2019 – Springer
… Concerning the Question Answering module, we mention that this is a new instantiation of the ASP-based framework for QA presented in [21], which also features a more powerful reasoning engine capable of answering queries in the more expressive OWL2-QL entailment …
Revisiting EmbodiedQA: A Simple Baseline and Beyond
Y Wu, L Jiang, Y Yang – arXiv preprint arXiv:1904.04166, 2019 – arxiv.org
Page 1. Revisiting EmbodiedQA: A Simple Baseline and Beyond Yu Wu1,2?, Lu Jiang3, Yi Yang1 1University of Technology Sydney 2Baidu Research 3Google AI yu.wu-3@student. uts.edu.au; lujiang@google.com; yi.yang@uts.edu.au Abstract …
A smart dialogue-competent monitoring framework supporting people in rehabilitation
T Mavropoulos, G Meditskos, E Kamateri… – Proceedings of the 12th …, 2019 – dl.acm.org
… The strategies will take into account a) the available responses derived either from the semantic module or the web- based question answering module, ; b) the user profile and specific requirements aligned to the profile, c) the dialogue history; and d) the current context which is …
Speech act classification in Vietnamese Utterance and its application in smart mobile voice interaction
TL Ngo, QV Duong, SB Pham, XH Phan – Proceedings of the Seventh …, 2016 – dl.acm.org
… The speech act classifier module is a core component in VAV. the question answering module to get answers for the user. Utterance (4) is a sentence expressing emotions, VAV will execute AIML matcher to chat with the user …
Application and Composition of Virtual Reality in Teaching
JG Yuan, ZG Li – Applied Mechanics and Materials, 2014 – Trans Tech Publ
… Virtual teaching platform used the modular extensible structure, its basic structure included management module, virtual teaching and learning resource module, writing and communication module, on-line question-answering module and intelligent evaluation module and so on …
Open online virtual experiment teaching platform design and implementation based on the Struts2 framework
X Yan, M Li – pdfs.semanticscholar.org
… jsp <!– 2)Configuration files code for Online Q&A <!–Online question answering module provides the communication of students and teachers–!> – package name=”question” extends=”default” namespace=”/question”> –
Using annotated discourse information of a RST Spanish-Chinese treebank for translation and language learning tasks
S Cao – 2018 – repositori.upf.edu
… Lastly, we conclude the discourse similarities and differences to make the protocol. Regarding the language learning between the two languages, we fully use the manually annotated discourse markers (DM) to develop a question-answering module …
A Smart Animatronic Human Face
J Verma, H Singh, A Kumar, S Tripathi – 2017 – basanti-theactroid.github.io
… maximum data transfer speed of 100 Gpbs. Figure 16 – Microphone Integrated Webcam Page 28. Part II Question Answering Module Page 29. 28 2 Introduction Enabling computers to understand given documents and answer questions about …
Conversational Assistant for an Accessible Smart Home: Proof-of-Concept for Portuguese
M Ketsmur, A Teixeira, N Almeida, S Silva… – Proceedings of the 8th …, 2018 – dl.acm.org
… The same result can be achieved for “this week”, “last month”, “next year”. Second step: The Question Answering module, aims to construct SPARQL queries using obtained data from the previous module (actual data) and the stored information from previous interactions …
Word Similarity Computing Based on HowNet and Synonymy Thesaurus
H Nie, J Zhou, H Wang, M Li – Proceedings of SAI Intelligent Systems …, 2019 – Springer
… the proposed method. To this purpose, we first give the definition of automatic question answering module. The automatic question answering module can query the historical database according to the user’s question. If there …
Research on Teaching Materials Management of Track and Field Web Course in College of Physical Education.
W Lin – International Journal of Emerging Technologies in …, 2016 – search.ebscohost.com
… My question answering module in- cludes problem upload, teacher answering, answer upload between teachers and students, and its technical staff. Administrators play a guiding role and keep continuous operation of the module resource management [8,25,26] …
Open source platform digital personal assistant
A Khusnutdinov, D Usachev, M Mazzara… – 2018 32nd …, 2018 – ieeexplore.ieee.org
… Developers provide specific measurements of time consumption for a Question-Answering module which spends on average 85% of the cycles on three components: stemming, regular expression pattern matching and CRF. In the paper of J. Hauswald et al …
DQueST: dynamic questionnaire for search of clinical trials
C Liu, C Yuan, AM Butler, RD Carvajal… – Journal of the …, 2019 – academic.oup.com
… applicable after previous answers. 16 In this study, we developed a system for dynamic questionnaire generation and implemented an interactive question- answering module to optimize the trial search efficiency. Our goal is …
Open source platform Digital Personal Assistant
D Usachev, A Khusnutdinov, M Mazzara… – arXiv preprint arXiv …, 2018 – arxiv.org
… Developers provide specific measurements of time consumption for a Question-Answering module which spends on average 85% of the cycles on three components: stemming, regular expression pattern matching and CRF. In the paper of J. Hauswald et al …
Developing a healthcare dataset information resource (DIR) based on Semantic Web
J Shi, M Zheng, L Yao, Y Ge – BMC medical …, 2018 – bmcmedgenomics.biomedcentral …
… Building on them, we developed methods to extract knowledge from the datasets as well as existing research articles that had analyzed these datasets. We also developed a question-answering module that answered novice questions that had been posted on the web …
A CPS-based intelligence-awareness platform for IT service management
Y Zhao, Y Rao – 2017 Chinese Automation Congress (CAC), 2017 – ieeexplore.ieee.org
… d) The community question answering module: the community service combines IT and social resources in the community better. IT maintain and service management personnel can better interact and exchange, and their network behavior constitutes a social network …
Modeling task effects in human reading with neural attention
M Hahn, F Keller – arXiv preprint arXiv:1808.00054, 2018 – arxiv.org
Page 1. Modeling Task Effects in Human Reading with Neural Attention Michael Hahn Department of Linguistics Stanford University mhahn2@stanford.edu Frank Keller School of Informatics University of Edinburgh keller@inf.ed.ac.uk …
Knadia: enterprise knowledge assisted dialogue systems using deep learning
M Singh, P Agarwal, A Chaudhary… – 2018 IEEE 34th …, 2018 – ieeexplore.ieee.org
… We address this problem using a novel approach wherein a question answering module answers users’ queries based on information stored in a knowledge graph (KG). 1424 Page 3. One of the key challenges is to create and maintain such a knowledge graph …
Smart operators in industry 4.0: A human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context
F Longo, L Nicoletti, A Padovano – Computers & industrial engineering, 2017 – Elsevier
… It is worth noticing also that the question answering module encompasses question processing functions to handle questions in natural language as well as text processing functions in order to provide answers at sentence level …
Spoken Dialogue System for Information Navigation based on Statistical Learning of Semantic and Dialogue Structure
K Yoshino – 2014 – repository.kulib.kyoto-u.ac.jp
… well-matched to the domain. The LM of the ASR module is automatically adapted to the domain. A flexible question answering module for the information navigation task is realized to handle ambiguous user queries. This module always responds with related information to …
Say Something Smart-ensinando um chatbot a responder com base em legendas de filmes
D Ameixa – 2015 – inesc-id.pt
… dialogues; Page 22. 2 CHAPTER 1. INTRODUCTION • Just.Ask, a question/answering module that answers factoid questions; • Talkpedia, a module that uses Wikipedia to show some knowledge about the user utter- ance. In …
Knowledge and Reasoning for Image Understanding
S Aditya – 2018 – search.proquest.com
Page 1. Knowledge and Reasoning for Image Understanding by Somak Aditya A Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Approved June 2018 by the Graduate Supervisory Committee …
Developing an intelligent assistant for the audit plan brainstorming session
Q Li – 2019 – rucore.libraries.rutgers.edu
… 75 – Figure 23 Question Answering Module ….. 76 … Page 30. – 13 – based Question Answering module) in the proposed cognitive assistant, and it is tested with data extracted from experimental brainstorming meetings …
QuranAnalysis: A Semantic Search and Intelligence System for the Quran
K Ouda – 2015 – researchgate.net
Page 1. QuranAnalysis: A Semantic Search and Intelligence System for the Quran Karim Ouda Submitted in accordance with the requirements for the degree of MSc Advanced Computer Science (Data Analytics) 2014/2015 I School of Computing FACULTY OF ENGINEERING …
Investigating Perceptual Features For A Natural Human Humanoid Robot Interaction Inside A Spontaneous Setting
INGME GIARDINA, S GAGLIO, R SORBELLO – iris.unipa.it
… 27 4.3.3 The Behavioural SubModule . . . . . 28 4.3.4 Knowledge Learning SubModule . . . . . 28 4.4 Question Answering Module . . . . . 29 Page 9. CONTENTS viii 4.4.1 Knowledge Base …
User Interactions for Augmented Reality Smart Glasses: A Comparative Evaluation of Visual Contexts and Interaction Gestures
M Kim, SH Choi, KB Park, JY Lee – Applied Sciences, 2019 – mdpi.com
… Some other works have attempted to combine an optical see-through display with projector-based spatial augmented reality [17], and have discussed how a working system should be developed by integrating smart glasses with a question-answering module [18] …
ERCIM News
TB Data – credential.eu
Page 1. ERCIM NEWS www.ercim.eu Number 104 January 2016 Special theme Tackling Big Data in the Life Sciences Also in this issue: Research and Society: “Women in ICT Research and Education” Page 2. ERCIM News is the magazine of ERCIM …
Exploring adoption of augmented reality smart glasses: Applications in the medical industry
NA Basoglu, M Goken, M Dabic, D Ozdemir Gungor… – 2018 – pdxscholar.library.pdx.edu
Page 1. Portland State University PDXScholar …
Text to 3D Scene Generation
AX Chang – 2015 – pdfs.semanticscholar.org
Page 1. TEXT TO 3D SCENE GENERATION A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS …