Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 22 for “"Question answering system"”.
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An intelligent question: answering system for natural language
… of information storage and retrieval systems are becoming more widespread, there is an increased need to be able to communicate with these systems in a natural way. Natural Language applications in the 1990s, as well as in the foreseeable future, have more demanding requirements. …
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Building a Trustworthy Question Answering System for Covid-19 Tracking
… this problem, in this Thesis, we propose a question answering system that can be interacted with using simple natural language-based sentences. While building this system, we investigate qualified public data resources and from the data content they are providing, and we collect a set of …
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The Development of The Yes-No Question-Answering System in Young Children
Made available in DSpace on 2014-12-13T18:21:49Z (GMT). No. of bitstreams: 1 7726624.pdf: 2553362 bytes, checksum: 95963c4473320dd4f01fedf45db2ded1 (MD5) Previous issue date: 1977
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Answer verification for improved precision in a Web-based question answering system
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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Building a question answering system for the introduction to statistics course using supervised learning techniques
Question Answering (QA) is the task of automatically generating an answer to a question asked by a human in natural language. Open-domain QA is still a difficult problem to solve even after 60 years of research in this field, as trying to answer questions which cover a wide range of subjects is a …
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The effect of component recognition on flexibility and speech recognition performance in a spoken question answering system
<p>A spoken question answering system that recognizes questions as full sentences performs well when users ask one of the questions defined. A system that recognizes component words and finds an equivalent defined question might be more flexible, but is likely to have decreased speech recognition …
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Prism : an answer projection system
Prism is an answer projection system that combines the best attributes of traditional and Web-based question answering systems. Traditional question answering systems retrieve answers with pinpoint accuracy but limited coverage, using a small and reliable data source, while Web-based systems …
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A data mining approach to ontology learning for automatic content-related question-answering in MOOCs.
… the short text classification module, and the question answering module. Unlike previous research, to identify relevant concepts for ontology learning a regular expression parser approach is used. Also, the relevant concepts are extracted from unstructured documents. To build the concept …
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Exploiting syntactic relations for question answering
… implementation of SMARTQA, a proof-of-concept question answering system that compares syntactic trees in a principled manner. Specifically, SMARTQA uses a tree edit-distance algorithm to calculate the similarity between unordered, unrooted syntactic trees. The general case of this problem is …
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Soft matching for question answering
… of syntactic and semantic features in current question answering (QA) systems. Such hard matching may fare poorly given variations in natural language texts. To combat such problems, I develop two soft matching schemes. I implement both soft matching schemes using statistical models and apply …
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Question Answering on Dynamic Knowledge Graph for Chemistry
… to access it efficiently. A Knowledge Graph Question Answering system is one of the solutions. However, due to the specific nature of the chemistry Knowledge Graph, off-the-shelf solutions for Knowledge Graph Question Answering might be less effective. As a result, this thesis explores …
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Data Augmentation with Seq2Seq Models
… issue that complicates the training process of question answering systems: syntactically diverse but semantically equivalent sentences can have significant disparities in predicted output probabilities. We propose a method for generating an augmented paraphrase corpus for the visual question …
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Automatic repair and recovery for Omnibase : robust extraction of data from diverse Web sources
… available on the internet, information retrieval systems need to reliably access the data on these different sites in a manner that is robust to changes in format or structure that these sites might undergo. An interface that gives a system uniform, programmatic access to the data on some web site …
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Wrapster : semi-automatic wrapper generation for semi-structured websites
… sources. This thesis presents Wrapster, a new system that semi-automatically generates wrappers for semi-structured Web sources, improves wrapper robustness, and eliminates the need for programming skills and, to a large extent, the process of script creation. Wrapster's novel component is the …
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Building cell assembly based associative memory with spiking neurons
… simulation using binary CAs. Additionally, a question-answering system with CA-based memories models the natural responses predicted by Collin’s hierarchical structure of semantic memory. These experiments underscore the pivotal role of CAs in advancing our understanding of cognitive …
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Graph-based Vector Search Algorithms for Retrieval-Augmented AI Systems
… (LMMs) greatly enhances the capabilities of AI systems such as recommendation systems and coding assistants, making them more practical for real-world deployment. However, these models cannot directly interact with large volumes of data in a knowledge corpus during inference/task time due to …
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Intelligent Industrial Maintenance: Using Natural Language Processing Technology and Domain Knowledge for Decision Support
Intelligent maintenance system (IMS) is crucial for optimizing maintenance strategies, reducing downtime, and improving overall equipment effectiveness in modern manufacturing systems. However, existing maintenance systems often struggle to effectively integrate and analyse multi-modal and …
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Enriching models of natural language with auxiliary data
… task to enhance the performance of an automatic question-answering system. We record the gaze location of hundreds of subjects as they read and answer questions about newspaper articles. We then train a state-of-the-art transformer model to predict human attention as well correct answers and find …
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Learning sentiment and semantic relatedness in user generated content using neural models
… Sentiment Analysis (ABSA) and Community Question Answering (cQA) ranking problems, for the purposes of harnessing and understanding the sentiment and semantics expressed in review platforms and discussion forums. Riding on the recent trends of deep learning, this work applies neural …
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A Knowledge Graph based Method on Language Understanding for Customer Service
… and consumers. Traditional method, which collect questionnaires in paper-format from consumers, is considered to inefficient and time-consuming. As Natural Language Processing (NLP) technologies developing, sentiment analysis and emotion detection has been demonstrated to understand customers’ …
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