Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Semantics For A Question Answering System
Download Semantics For A Question Answering System full books in PDF, epub, and Kindle. Read online Semantics For A Question Answering System ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Semantics for a Question-answering System by : William A. Woods
Download or read book Semantics for a Question-answering System written by William A. Woods and published by Dissertations-G. This book was released on 1979 with total page 890 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Natural Language Question Answering System by : Boris Galitsky
Download or read book Natural Language Question Answering System written by Boris Galitsky and published by . This book was released on 2003 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Semantic Representations for Question-answering Systems by : Martha W. Evens
Download or read book Semantic Representations for Question-answering Systems written by Martha W. Evens and published by . This book was released on 1975 with total page 918 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Oxford Handbook of Computational Linguistics by : Ruslan Mitkov
Download or read book The Oxford Handbook of Computational Linguistics written by Ruslan Mitkov and published by Oxford University Press. This book was released on 2004 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics.
Book Synopsis Operation of a Semantic Question-answering System by : Bertram Raphael
Download or read book Operation of a Semantic Question-answering System written by Bertram Raphael and published by . This book was released on 1963 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Ontologies and Adaptivity in Dialogue for Question Answering by : D. Sonntag
Download or read book Ontologies and Adaptivity in Dialogue for Question Answering written by D. Sonntag and published by IOS Press. This book was released on 2010-01-05 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Question answering (QA) has become one of the fastest growing topics in computational linguistics and information access. To advance research in the area of dialogue-based question answering, we propose a combination of methods from different scientific fields (i.e., Information Retrieval, Dialogue Systems, Semantic Web, and Machine Learning). This book sheds light on adaptable dialogue-based question answering. We demonstrate the technical and computational feasibility of the proposed ideas, the introspective methods in particular, by beginning with an extensive introduction to the dialogical problem domain which motivates the technical implementation. The ideas have been carried out in a mature natural language processing (NLP) system, the SmartWeb dialogue system, which was developed between 2004 and 2007 by partners from academia and industry. We have attempted to make this book a self-containing text and provide an extra section on the interdisciplinary scientific background. The target audience for this book comprises of researchers and students interested in the application potential of semantic technologies for difficult AI tasks such as working dialogue and QA systems.
Book Synopsis Semantic Pattern for Question Answering System by : 郝天永
Download or read book Semantic Pattern for Question Answering System written by 郝天永 and published by . This book was released on 2010 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Semantics and Quantification in Natural Language Question Answering by : William A. Woods
Download or read book Semantics and Quantification in Natural Language Question Answering written by William A. Woods and published by . This book was released on 1977 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper is concerned with the semantic interpretation of natural English sentences by a computerized question-answering system, and specifically with the problems of interpreting and using quantification in such systems. These issues are presented and discussed from the perspective of four different natural language understanding systems with which the author has been involved. The presentation includes the process of semantic interpretation, the nature and organization of semantic interpretation rules, a notation for representing semantic interpretations (the meaning representation language), the semantics of that notation, and the generation and scoping of quantifiers. Also discussed are a variety of loose ends, open questions, and directions for future research. Particular attention is given to the interaction of syntactic, semantic (and pragmatic) information. (Author).
Book Synopsis A Semantic Approach to Question Answering by : Nico Schlaefer
Download or read book A Semantic Approach to Question Answering written by Nico Schlaefer and published by . This book was released on 2007 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: The discipline of question answering (QA) is concerned with the retrieval of accurate answers to natural language questions from a textual corpus. While early QA systems predominantly relied on lexical and syntactic techniques to find the correct answer in a document collection, semantic approaches have become increasingly popular as means of bridging the gap between questions and answers. The author Nico Schlaefer investigates how semantic resources can help to improve the accuracy of QA systems. Semantic parsing techniques are applied to transform questions into semantic structures and to find phrases in the document collection that match these structures. Ontologies are used to extract terms from questions and corpus sentences and to enrich the terms with semantically similar concepts. These resources are evaluated within the Ephyra framework, a state-of-the-art system for domain-independent QA. The book is intended for researchers and developers in the fields of natural language processing and information retrieval. It includes a brief overview of QA and introduces relevant algorithms and concepts from the fields of statistical modeling and graph theory.
Book Synopsis The Use of a Semantic Network in a Deductive Question-answering System by : James R. McSkimin
Download or read book The Use of a Semantic Network in a Deductive Question-answering System written by James R. McSkimin and published by . This book was released on 1977 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Open-domain Question Answering from Large Text Collections by : Marius Pasca
Download or read book Open-domain Question Answering from Large Text Collections written by Marius Pasca and published by Stanford Univ Center for the Study. This book was released on 2003 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many books have indexes, but most textual media have none. Newspapers, legal transcripts, conference proceedings, correspondence, video subtitles, and web pages are increasingly accessible with computers, yet are still without indexes or other sophisticated means of finding the excerpts most relevant to a reader's question. Better than an index, and much better than a keyword search, are the high-precision computerized question-answering systems explored in this book. Marius Pasca presents novel and robust methods for capturing the semantics of natural language questions and for finding the most relevant portions of texts. This research has led to a fully implemented and rigorously evaluated architecture that has produced experimental results showing great promise for the future of internet search technology.
Book Synopsis The Use of Semantic Information in Deductive Question-answering Systems by : James Robb McSkimin
Download or read book The Use of Semantic Information in Deductive Question-answering Systems written by James Robb McSkimin and published by . This book was released on 1976 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of International Conference on Data Science and Applications by : Mukesh Saraswat
Download or read book Proceedings of International Conference on Data Science and Applications written by Mukesh Saraswat and published by Springer Nature. This book was released on 2021-11-22 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
Book Synopsis Using Semantic Structure of the Data and Knowledge in Question Answering Systems by : Chen Zheng
Download or read book Using Semantic Structure of the Data and Knowledge in Question Answering Systems written by Chen Zheng and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding and reasoning over natural language is one of the most crucial and long-standing challenges in Artificial Intelligence (AI). Question answering (QA) is the task of automatically answering questions posed by humans in a natural language form. It is an important criterion to evaluate the language understanding and reasoning capabilities of AI systems. Though machine learning systems on Question Answering (QA) have shown tremendous success in language understanding, they still suffer from a lack of interpretability and generalizability, in particular, when complex reasoning is required to answer the questions. In this dissertation, we aim to build novel QA architectures that answer complex questions using the explicit relational structure of the raw data, that is, text and image, and exploiting external knowledge. We investigate a variety of problems, including answering natural language questions when the answer can be found in multiple modalities, including 1) Textual documents (Document-level QA), 2) Images (Cross-Modality QA), 3) Knowledge graphs (Commonsense QA) and, 4) Combination of text and knowledge graphs. First, for Document-level QA, we develop a new technique, Semantic Role Labeling Graph Reasoning Network (SRLGRN), via which the explicit semantic structure of multiple textual documents is used. In particular, based on semantic role labeling, we form a multi-relational graph that jointly learns to find cross-paragraph reasoning paths and answers multi-hop reasoning questions. Second, for the type of QA that requires causal reasoning over textual documents, we propose a new technique, Relational Gating Network (RGN), that jointly learns to extract the entities and their relations to help highlight the important entity chains and find how those affect each other. Third, for the type of questions that require complex reasoning over language and vision modalities (Cross-Modality QA), we propose a new technique, Cross-Modality Relevance (CMR). This technique considers the relevance between textual tokens and visual objects by aligning the two modalities. Fourth, for answering questions based on given Knowledge Graphs (KG), we propose a new technique, Dynamic Relevance Graph Network (DRGN). This technique is based on a graph neural network and re-scales the importance of the neighbor nodes in the graph dynamically by training a relevance matrix. The new neighborhoods trained by relevance help fill in the knowledge gaps in the KG for more effective knowledge-based reasoning. Fifth, for answering questions using a combination of textual documents and an external knowledge graph, we propose a new technique, Multi-hop Reasoning Network over Relevant Commonsense Subgraphs (MRRG). MRRG technique extracts the most relevant KG subgraph for each question and document and uses that subgraph combined with the textual content and question representations for answering complex questions. We improve the performance, interpretability, and generalizability of various challenging QA benchmarks based on different modalities. Our ideas have proven to be effective in multi-hop reasoning, causal reasoning, cross-modality reasoning, and knowledge-based reasoning for question answering.
Book Synopsis Reasoning Web. Reasoning and the Web in the Big Data Era by : Manolis Koubarakis
Download or read book Reasoning Web. Reasoning and the Web in the Big Data Era written by Manolis Koubarakis and published by Springer. This book was released on 2014-09-03 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the lecture notes of the 10th Reasoning Web Summer School 2014, held in Athens, Greece, in September 2014. In 2014, the lecture program of the Reasoning Web introduces students to recent advances in big data aspects of semantic web and linked data, and the fundamentals of reasoning techniques that can be used to tackle big data applications.
Book Synopsis Semantics. Volume 1 by : Claudia Maienborn
Download or read book Semantics. Volume 1 written by Claudia Maienborn and published by Walter de Gruyter. This book was released on 2011-07-27 with total page 989 pages. Available in PDF, EPUB and Kindle. Book excerpt: No detailed description available for "SEMANTICS (MAIENBORN ET AL.) BD. 33.1 HSK E-BOOK".
Book Synopsis Advances in Artificial Intelligence - IBERAMIA 2008 by : Hector Geffner
Download or read book Advances in Artificial Intelligence - IBERAMIA 2008 written by Hector Geffner and published by Springer. This book was released on 2008-10-01 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBERAMIA is the international conference series of the Ibero-American Art- cialIntelligencecommunitythathasbeenmeetingeverytwoyearssincethe1988 meeting in Barcelona. The conference is supported by the main Ibero-American societies of AI and provides researchers from Portugal, Spain, and Latin Am- ica the opportunity to meet with AI researchers from all over the world. Since 1998, IBERAMIA has been a widely recognized international conference, with its papers written and presented in English, and its proceedings published by Springer in the LNAI series. This volume contains the papers accepted for presentation at Iberamia 2008, held in Lisbon, Portugal in October 2008. For this conference, 147 papers were submitted for the main track, and 46 papers were accepted. Each submitted paper was reviewed by three members of the Program Committee (PC), coor- nated by an Area Chair. In certain cases, extra reviewerswererecruited to write additional reviews. The list of Area Chairs, PC members, and reviewers can be found on the pages that follow. The authors of the submitted papers represent 14 countries with topics c- ering the whole spectrum of themes in AI: robotics and multiagent systems, knowledge representation and constraints, machine learning and planning, n- ural language processing and AI applications. TheprogramforIberamia2008alsoincludedthreeinvitedspeakers:Christian Lemaitre (LANIA, M ́ exico), R. Michael Young (NCSU, USA) and Miguel Dias (Microsoft LDMC, Lisbon) as well as ?ve workshops.