Story Understanding Systems

Notes:

Story understanding systems and question answering systems are both types of natural language processing (NLP) systems that are designed to understand and respond to human language input. Both types of systems use techniques from linguistics, computer science, and artificial intelligence to analyze and interpret spoken or written language and generate appropriate responses.

Story understanding systems are designed to understand and interpret stories, narratives, and other types of text that contain multiple connected events or ideas. They are often used in applications such as language translation, language learning, and content summarization.

Question answering systems, on the other hand, are designed to understand and respond to specific questions or queries. They are often used in applications such as search engines, customer service chatbots, and automated assistants.

Both story understanding systems and question answering systems rely on techniques such as natural language understanding, machine learning, and information retrieval to analyze and interpret language input. However, they differ in their specific goals and applications, with story understanding systems focusing on understanding and interpreting longer, more complex texts, and question answering systems focusing on responding to specific questions or queries.

Wikipedia:

References:

See also:

100 Best Natural Language Understanding Videos | Language Understanding Engines | Language Understanding Module | Natural Language Understanding | PowerAnswer Question Answering System | Question Analysis Module | Story Generator Algorithms | Storytelling & Natural Language Understanding 2019 | VUE (Visual Understanding Environment)

Strategies for natural language processing
WG Lehnert, MH Ringle – 2014 – books.google.com
… Points: A theory of the Structure of Stories in Memory Robert Wilensky Attempts to produce computer story understanding systems have generated a number of advances in the areas of knowledge representation and organization …

The genesis story understanding and story telling system a 21st century step toward artificial intelligence
PH Winston – 2014 – dspace.mit.edu
… In this white paper, I focus on story understanding, which I believe is the key difference between us and all other primates, living and extinct. I catalog our work on story-understanding tools, describing some of the capabilities of our Genesis story-understanding system …

Old man coyote stories: Cross-cultural story understanding in the genesis story understanding system
WVH Yarlott – 2014 – dspace.mit.edu
The original question was:” Can machines think?” Alan Turing asked:” Does there exist a digital computer that can do sufficiently well at the imitation game?” Patrick Winston asked:” What makes human intelligence different from that of other primates?” Winston’s answer …

Exploring artificial intelligence: survey talks from the National Conferences on Artificial Intelligence
HE Shrobe – 2014 – books.google.com
… mercifully allowed me to ignore a large body of work that focuses exclusively on the syntactic structures of natural lan- guage.” Indeed, much of what is discussed in this survey might be character- ized as “story understanding.” A story understanding system is typically pre …

Culturally based story understanding
H Awad – 2013 – dspace.mit.edu
… The research reported takes a step toward accounting for cultural differences computationally by extending the Genesis story understanding system so as to enable Genesis to model Chinese and American differences in human story understanding and question answering …

Constructive Similarity Assessment: Using Stored Cases to De?ne New Situations
DB Leake – Proceedings of the Fourteenth Annual Conference of …, 2014 – books.google.com
… Leake, 199?). Both SWALE and ACCEPTER are story understanding systems Elaboration composed around input case in light of retrieved case ‘II:’ Retrieved case ssrni-nt elaborates new cases based on experience. that use …

Gathering background knowledge for story understanding through crowdsourcing
CT Rodosthenous, L Michael – OASIcs-OpenAccess Series in …, 2014 – drops.dagstuhl.de
… A prerequisite, then, of building automated story understanding systems is the availability of such background knowledge … The same author also proposed the Ms. Malaprop [5] system, which answers questions about simple stories dealing with painting …

Computational narratology
I Mani – Handbook of narratology, 2014 – books.google.com
… Story understanding systems (eg Wilensky 1978) never got very far, since (i) inferring characters’ goals involves a large search space and the inferences may need to be revised during processing and (ii) humans use a great deal of knowledge to interpret even simple sto- ries …

Pattern-directed inference systems
DA Waterman, F Hayes-Roth – 2014 – books.google.com
Page 1. Page 2. PATTERN-DIRECTED INFERENCE SYSTEMS Page 3. ACADEMIC PRESS RAPID MANUSCRIPT REPRODUCTION Page 4. PATTERN-DIRECTED INFERENCE SYSTEMS Edited by DA WATERMAN FREDERICK …

Development of yes/no arabic question answering system
WN Bdour, NK Gharaibeh – arXiv preprint arXiv:1302.5675, 2013 – arxiv.org
… A story understanding system (QUALM) is described by Lehnert (1981) It works through asking questions about simple, paragraph length stories .Part of the QUALM system includes a question analysis module that links each question with a question type …

On the need for imagistic modeling in story understanding
E Bigelow, D Scarafoni, L Schubert, A Wilson – Biologically Inspired …, 2015 – Elsevier
… However, we do not yet have an integrated end-to-end story understanding system, or a significantly large set of prototypes. Illustrating the process. We expect text understanding to proceed sentence-by-sentence, where the first step in sentence processing is semantic parsing …

Evaluating prerequisite qualities for learning end-to-end dialog systems
J Dodge, A Gane, X Zhang, A Bordes, S Chopra… – arXiv preprint arXiv …, 2015 – arxiv.org
… In contrast to the bAbI tasks which test basic capabilities of story understanding systems (Weston et al., 2015b), the tasks have been created using large-scale real-world sources (OMDb1, MovieLens2 and Reddit3). Overall, the dataset covers ?75k movie entities (movie, actor …

Automated indexing of Internet stories for health behavior change: weight loss attitude pilot study
R Manuvinakurike, WF Velicer… – Journal of medical …, 2014 – ncbi.nlm.nih.gov
… balance for weight loss. Related Work in Story Indexing. Story indexing has its roots in early story understanding systems in which story indexes were hand-coded for intelligent retrieval and inference [11]. Early work on story …

Who knows what?: perspective-enabled story understanding
JM Noss – 2017 – dspace.mit.edu
… Building on the Genesis story-understanding system, I developed the Perspectives Expert, which enables Genesis to form detailed men- tal models of characters in a story … 15 2 The Genesis Story-Understanding System, circa 2014 19 3 Forming Mental Models 25 …

Narratives, formalism, computational tools, and nonlinearity
E Nissan – Language, Culture, Computation. Computing of the …, 2014 – Springer
We recapitulate four decades of computational processing of narratives. Vladimir Propp’s work in the 1920s paved the way to both the structuralists’ approach to the folktale and to narratives in gener.

Goal-driven autonomy for cognitive systems
M Paisner, M Cox, M Maynord… – Proceedings of the …, 2014 – cloudfront.escholarship.org
… Burstein, 2008). XPLAIN is built on top of the Meta-AQUA introspective story understanding system (Cox and Ram 1999) and is used in MIDCA to detect and explain problems in the input perceptual representations. The system’s …

An interaction model based on Narrative Programs to improve understanding and contribution to non-linear narratives
J Colás, A Tapscott, A Moghnieh… – MMEDIA 2015, Barcelona …, 2015 – researchgate.net
… character believability (character-centric systems). Mateas and Sengers [20] define story-understanding systems as those which “seek to model the processes by which a human understands a story”. From our perspective of …

Cognitive systems: argument and cognition
A Kakas, L Michael – IEEE Intelligent Informatics Bulletin, 2016 – cognition.ouc.ac.cy
… Successfully comprehending stories involves integration of the story information with the reader’s own background knowledge. A prerequisite, then, of building automated story understanding systems is the availability of such background knowledge …

Goal-driven autonomy in dynamic environments
M Paisner, M Maynord, MT Cox… – Goal Reasoning: Papers …, 2013 – drum.lib.umd.edu
… procedures. XPLAIN is built on top of the Meta-AQUA introspective story understanding system (Cox and Ram 1999; Lee and Cox 2002) and is used in MIDCA to detect and explain problems in the input perceptual representations …

A commonsense approach to story understanding
BM Williams – 2017 – pdfs.semanticscholar.org
… Understanding stories requires commonsense knowledge. Many story understanding systems rely on rules to express and manipulate common sense, but the amount of common sense is vast and expressing significant amounts of common sense this way is tedious …

Model-based story summary
PH Winston – OASIcs-OpenAccess Series in Informatics, 2015 – drops.dagstuhl.de
… Experiments with a summarizer, built on the Genesis story understanding system, demonstrate considerable compression of an 85-element précis of the plot of Shakespeare’s Macbeth, reducing it, for example, to the 14 elements that make it a concise summary about Pyrrhic …

Applying qualitative research methods to narrative knowledge engineering
B O’Neill, M Riedl – OASIcs-OpenAccess Series in Informatics, 2014 – drops.dagstuhl.de
… uses. Creative narrative intelligence systems, such as story generation and story understanding systems, are knowledge-intensive. Story … cases. Story understanding systems also frequently use case-based reasoning. When …

Reading Between the Lines: Using Plot Graphs to Draw Inferences from Stories
C Purdy, MO Riedl – International Conference on Interactive Digital …, 2016 – Springer
Past attempts at creating story understanding systems are either computationally expensive or requir … Past attempts at creating story understanding systems are either computationally expensive or require a vast amount of hand-authored information to function …

Story-enabled hypothetical reasoning
DA Holmes – 2017 – dspace.mit.edu
… Using the Genesis story understanding system as a substrate, I develop a story-enabled hypothetical reasoning system that models sev- eral high-level human abilities, including judging actions in terms of moral alternatives, contextualizing stories by considering what could …

The Genesis manifesto: Story understanding and human intelligence
PH Winston, D Holmes – 2017 – courses.csail.mit.edu
… We argue that building a story-understanding system exposes computational imperatives associated with human competences such as question answering, mental modeling, culturally biased story interpretation, story-based hypothetical reasoning, and self-aware problem …

Analogical Chaining with Natural Language Instruction for Commonsense Reasoning.
JA Blass, KD Forbus – AAAI, 2017 – aaai.org
… 2012), which do not have EA NLU’s semantic breadth. Genesis (Winston 2014) is a story understanding system that taNes commonsense inference rules expressed in tem- plated English and uses them to understand stories in simple English …

A hybrid approach to relationship extraction from stories
V Devisree, PCR Raj – Procedia Technology, 2016 – Elsevier
… 1.1. Story understanding and NLP Historically, story understanding systems have depended on a great deal of hand-crafted knowledge. A short story is a work of short, narrative prose, that is usually centered around one single event …

A comparison study of question answering systems
P Bhatia, R Madaan, AK Sharma, A Dixit – Journal of Network …, 2015 – jncet.org
… Other system also helps the system in linguistic and computational processing. C.QUALM (STORY UNDERSTANDING SYSTEM) … Other system also helps the system in linguistic and computational processing. QUALM Question Answering System Story understanding System …

Indexing Stories for Conversational Health Interventions.
RR Manuvinakurike, B Barry, TW Bickmore… – AAAI Spring Symposium …, 2013 – aaai.org
… Story indexing has its roots in early story understanding systems in which story indices were hand-coded for intelligent retrieval and inference [6,7]. More recently, researchers have employed statistical methods of text classification to collect and classify stories from large …

Schematic representation for storytelling
S Al-Fedaghi – IEEE Int. Conf. Computational Intelligence and …, 2013 – researchgate.net
… Formal models of narrative phenomena have been proposed for many applications, eg, multimedia archives [7]. Schank [8] developed conceptual representations to be applied in story understanding systems, using a so-called conceptual dependency graph (CDG) to represent …

Toward meta-level control of autonomous agents
D Dannenhauer, MT Cox, S Gupta, M Paisner… – Procedia Computer …, 2014 – Elsevier
… For example if a story understanding system explains an anomaly in a story but later discovers a different explanation in subsequent text, then the meta-level must take a trace of the prior reasoning that produced the faulty explanation, explain what caused the failure, and use …

Applying the Subsumption Architecture to the Genesis Story Understanding System
F Mai – TECHNISCHE BERICHTE – qucosa.de
Abstract. Language and particularly story understanding is a fundamental component of human-level intelligence. It enables us to predict consequences of actions without examining these actions before, making investigations according to story understanding a …

Inducing Schizophrenia in an Artificially Intelligent Story-Understanding System
P Kalluri, PH Winston – 2017 – mit.edu
Abstract The Strong Story Hypothesis posits that story-related faculties play a key role in human intelligence. We introduced the Faulty Story Mechanism Corollary: The mechanisms that enable humans to tell, understand, and recombine stories are subject to breaks; the …

The Unified Plausibility Parser: how story-understanding systems can read stories written for humans
E Ceccarelli – 2017 – pdfs.semanticscholar.org
Abstract In this thesis, I describe how the difficult task of understanding ungrammatical and complex sentences may be tackled by leveraging the power of expectation. Genesis, a state of the art story understanding system, currently struggles to read any sentences that have …

Understanding A Simple Arabic Stories Using Event Calculus
MA El-Salam, AK Hussein… – American Journal of …, 2013 – researchgate.net
… 1.22. Characteristics of the Proposed System Story understanding systems are characterized according to four dimensions (Mueller, 2004b); breadth of coverage, depth of understanding, ability to handle new stories, ability to handle real-world input …

Natural Language Understanding
D Fischer – dan.f3c.com
… 3.3 Modules needed for Understanding the Example Story To exemplify the progress made in the last quarter of the 20th century, I will briefly review two models for an in-depth story understanding system that could answer the proposed questions …

Web-STAR: Towards a Visual Web-Based IDE for a Story Comprehension System
C Rodosthenous, L Michael – arXiv preprint arXiv:1706.06954, 2017 – arxiv.org
… related information. In the following sections, we present the current state in story understanding systems and web IDEs followed by a presentation of the STAR system that is the underlying engine of the Web-STAR platform. Next …

Image Schemas and Conceptual Dependency Primitives: A Comparison
JC MACBETH, D GROMANN, MM HEDBLOM – pdfs.semanticscholar.org
… Reducing ambiguity in the meaning representation is of paramount importance to natural language understanding and story understanding systems in AI, since much of the understanding process involves infer- ence and deduction operations performed on a meaning instance …

Natural Language Instruction for Analogical Reasoning: An Initial Report.
JA Blass, KD Forbus – ICCBR Workshops, 2016 – ceur-ws.org
… The Genesis system [25] is a story understanding system that takes in stories in sim- plified English and commonsense inference rules expressed in templated English, and constructs graphs representing those stories as events and relations …

Using Near Misses to Teach Concepts to a Human Intelligence System
JA Barnwell – 2018 – groups.csail.mit.edu
… Such an achievement in human intelligence is an important stride towards the realization of Minsky’s hypothetical “baby machine.” Genesis is a story-understanding system that reads and analyzes stories in simple English, as humans do …

Conceptual Primitive Decomposition for Knowledge Sharing via Natural Language
JC MACBETH – 2017 – iiia.csic.es
… are related. Continuing the example, an ontology system such as Text2Onto [2] could be used to extract ontological concepts and relations from textual and linguistic resources to build a story understanding system. Text2Onto …

Proceedings of the Fifth Workshop on Computational Linguistics for Literature
A Feldman, A Kazantseva, S Szpakowicz – Proceedings of the Fifth …, 2016 – aclweb.org
… The morning speaker is Professor Patrick Winston, one of the central figures in Artificial Intelligence. He will talk about MIT’s Genesis story-understanding system and its many complex, varied aspects. Genesis reads Macbeth …

History of Conversational Systems
T Nishida – 2017 – ii.ist.i.kyoto-u.ac.jp
… Natural language dialogue systems Speech dialogue systems Multi?modal dialogue systems Embodied Conversational Agents / Intelligent Virtual Human Story Understanding systems Conversational Systems Transactional systems Interactional systems Affective Computing …

How to Diagram a Dramatic Story
S Al-Fedaghi – International Conference on Human-Computer …, 2013 – Springer
… Example: Formal models of narrative phenomena have been proposed in many applications, eg, multimedia archives [5]. Schank (eg, [6]) developed conceptual representations to be applied in story understanding systems, using a so-called con- ceptual dependency graph …

History of Conversational System Development
T Nishida, A Nakazawa, Y Ohmoto… – Conversational …, 2014 – Springer
… informatics. Keywords. Natural language dialogue system Speech dialogue system Multimodal interface Embodied conversational agent Story understanding system Cognitive computing. Download fulltext PDF. 3.1 A Bird’s Eye View …

From Story to Narrative Network1
E Soulier – researchgate.net
… Artificial Intelligence (AI) has provided story- generating systems as well as story-understanding systems using techniques associates with rule-based or symbolic AI, also called ‚good old-fashioned AI’ (GOFAI), during the 70′ and 80′ …

Artificial empathy: using vector space modeling and mixed scope alignment to infer emotional states of characters in stories
RC Alexander – 2016 – dspace.mit.edu
… I then combined that information with the semantic parse trees produced by the Genesis Story Understanding System to ascer- tain the emotions evoked by a single sentence … the Genesis Story Understanding System that is capable of empathizing with char- acters in stories …

Cognitive Computing
S Dresden – qucosa.de
… They are able to perform tasks that only humans used to be able to.[1]” Table of Contents Introduction 5 1 Applying the Subsumption Architecture to the Genesis Story Understanding System –A Notion and Nexus of Cognition Hypotheses Felix Mai 9 2 Benefits and Drawbacks …

On Computing Machinery and Intelligence
PH Winston – Philosophical Explorations of the Legacy of Alan Turing, 2017 – Springer
… I elaborate on story understanding, explaining how a simple substrate of English analysis, common sense inference, and concept search enable the Genesis story understanding system to demonstrate a range of competences, including culturally grounded story interpretation …

A Gardener in the Wasteland JotibaPhule’s Fight for Liberty: A Study of Caste in Contemporary Indian Graphic Narrative
P Ingole – PAPER PROCEEDINGS – uniqueca.com
… Doing the tasks required an awareness and analysis of story understanding system using the five subcategories of NI: narration, thematization, emplotment, characterization and genre-ation. Story understanding systems using …

Syncretic matching: story similarity between documents
S Kulkarni, S Srinivasa, T Dar – Proceedings of the ACM India Joint …, 2018 – dl.acm.org
… again requires human intervention. Fay [16] performs story com- parison using the methods of simultaneous matching and alignment. It also leverages the Genesis story understanding system. These works require human effort …

An Introduction to Plot Units
LL CYNTHIA – Semantic Structures (RLE Linguistics B: Grammar) …, 2014 – books.google.com
Page 150. CHAPTER 4 An Introduction to Plot Units WENDY G. LEHNERT CYNTHIA L. LOISELLE Department of Computer and Information Science University of Massachusetts UNDERSTANDING AND REPRESENTATION …

Driving story generation with learnable character models
MP Fay – 2014 – dspace.mit.edu
… In this section I provide a number of sample results that demonstrate my system’s capabilities. The development of the character models has enabled new ways for the story understanding system to understand stories … Chapter 4 – The Genesis Story Understanding System …

Evaluating explanations: A content theory
DB Leake – 2014 – books.google.com
… By examining each question in the context of a story understanding system that explains novel events in news stories, we show that the standard framework is inadequate for explanation in complex real-world domains … For example, the story understanding system FRUMP …

Hybrid part of speech tagger for Malayalam
M Francis, KNR Nair – Advances in Computing …, 2014 – ieeexplore.ieee.org
… as a pre-processing step for chunking and parsing and is used today in named entity recognition, text-based information retrieval, speech recognition, generating intonation in speech production systems, machine translation, story understanding system, question answering …

Event mappings for comparing formal frameworks for narratives
B Fisseni, B Löwe – Logique et Analyse, 2014 – dare.uva.nl
Page 1. Event mappings for comparing formal frameworks for narratives Bernhard Fisseni1,2 and Benedikt Löwe1,3 1Fachbereich Mathematik, Universität Hamburg, Bundesstraße 55, 20146 Hamburg, Germany 2Fakultät für …

Interaction and participation in collaborative storytelling systems
J Colás Álvarez – tdx.cat
Page 1. Interaction and Participation in Collaborative Storytelling Systems Joaquim Colàs Alvarez TESI DOCTORAL UPF 2017 DIRECTOR DE LA TESI Dr. Josep Blat (Departament de Tecnologies de la Informació i les Comunicacions) Page 2. Page 3. iii …

Knowledge Interactions and Integrated Parsing tor Narrative Comprehension
MG DYER – Semantic Structures (RLE Linguistics B: Grammar) …, 2014 – books.google.com
… plan to achieve his goal. PAM was a story understanding system that used goal/plan infor- mation to handle stories dealing with character motivations and ac- tions that are nonstereotypic (Wilensky, 1978). Some of the classes …

Cognitive constraints on communication: Representations and processes
LM Vaina, J Hintikka – 2013 – books.google.com
… Wendy Lehnert’s article on question answering in the context of a story understanding system constitutes a useful base for studying the range of semantic processing problems which must be present in human conversation …

Morphology based Prototype Statistical Machine Translation for English to Tamil Language
KP Soman – nlp.amrita.edu
… systems that do deep linguistic processing like natural language interfaces, machine translation, search engines, text summarization, information extraction and story understanding system. 48 Morphological Analyzer Page 49. Tamil Morphological Analyzer …

Conversational informatics: a data-intensive approach with emphasis on nonverbal communication
T Nishida, A Nakazawa, Y Ohmoto, Y Mohammad – 2014 – books.google.com
Page 1. Toyoaki Nishida Atsushi Nakazawa Yoshimasa Ohmoto Yasser Mohammad Conversational Informatics A Data-Intensive Approach with Emphasis on Nonverbal Communication Page 2. Conversational Informatics Page 3 …

Recognizing player goals in open-ended digital games with markov logic networks
EY Ha, J Rowe, B Mott, J Lester – Plan, Activity and Intent …, 2014 – intellimedia.ncsu.edu
… Plan and goal recognition models have been devised for story understanding systems (Charniak and Goldman, 1993), productivity software (Horvitz, et al., 1998), intelligent tutoring systems (Conati, Gertner, and VanLehn, 2002), and dialogue systems (Blaylock and Allen, 2003 …

Learning knowledge to support domain-independent narrative intelligence
B Li – 2015 – aragorn.library.gatech.edu
… ties, as understanding often requires drawing connections between elements presented separately. The ISSAC story understanding system [120], for example, is capable of creating novel analogies in order to understand novel concepts in science fictions …

Automated indexing of stories for conversational health intervention
RR Manuvinakurike – 2013 – search.proquest.com
… Story indexing has its roots in early story understanding systems in which story indices were hand-coded (Mueller, 2002) for intelligent retrieval and inference … This work was based on works of Schank & Abelson. The main focus was on story understanding systems …

Modeling common sense knowledge via scripts
A Modi – 2017 – publikationen.sulb.uni-saarland.de
Page 1. Modeling Common Sense Knowledge via Scripts UNIVERSITÄT DES SAARLANDES Ashutosh Modi A dissertation submitted towards the degree Doctor of Engineering of the Faculty of Mathematics and Computer Science of Saarland University Saarbrücken, July 2017 …

Philosophical Explorations of the Legacy of Alan Turing
J Floyd, A Bokulich – 2017 – Springer
Boston Studies in the Philosophy and History of Science 324 Juliet Floyd Alisa Bokulich Editors Philosophical Explorations of the Legacy of Alan Turing Turing 100 Page 2. Boston Studies in the Philosophy and History of Science …

Sentic computing: a common-sense-based framework for concept-level sentiment analysis
E Cambria, A Hussain – 2015 – books.google.com
Page 1. Socio-Affective Computing 1 Erik Cambria Amir Hussain Sentic Computing A Common-Sense-Based Framework for Concept-Level Sentiment Analysis Page 2. Socio-Affective Computing Volume 1 Series Editor Amir …

Time-constrained Memory: A reader-based approach to text comprehension
JP Corriveau – 2014 – books.google.com
Page 1. TIME-CONSTRAINED * MEMORY; ” ‘- éhehsian. JEAN-PIERRE CORRIVEAU Page 2. Time-Constrained Memory A Reader-Based Approach to Text Comprehension Page 3. This page intentionally left blank Page 4. Time …

Relation Extraction using Distant Supervision, SVMs, and Probabilistic First Order Logic
MW Greaves – 2014 – reports-archive.adm.cs.cmu.edu
… 5 information processing (Schank, 1975), human memory, and computation. Lehnert im- plemented this theory in two story understanding systems. In the mid-1980s, Ander- sen et al. (1992), working for the Carnegie Group, launched a commercial information …

Audience aware computational discourse generation for instruction and persuasion
ES Sayan – 2014 – dspace.mit.edu
… be thought of as a goal-oriented and edited version of the initial “story text”, and it is passed in as input to the Genesis story understanding system for evaluation and display. 1.5 What you will find in the rest of the thesis Now …

Collective artificial intelligence: simulated role-playing from crowdsourced data
JD Orkin – 2013 – dspace.mit.edu
Page 1. Collective Artificial Intelligence: Simulated Role-Playing from Crowdsourced Data by Jeffrey David Orkin BS, Tufts University (1995) MS, University of Washington (2003) MS, Massachusetts Institute of Technology (2007) …

Knowledge representation: an approach to artificial intelligence
TJM Bench-Capon – 2014 – books.google.com
Page 1. KNOWLEDGE 1 HE REPRESENTATION API £ An Approach to 32 Artificial Intelligence TJM BENCH-CAPON Page 2. Knowledge Representation An Approach to Artificial Intelligence Page 3. This is volume 32 in the APIC …

Visual Narratives for Accounting Knowledge Integration
E Nyuppieva – 2016 – dspace.cc.tut.fi
Page 1. EKATERINA NYUPPIEVA VISUAL NARRATIVES FOR ACCOUNTING KNOWLEDGE INTE- GRATION Master of Science thesis Examiners: Prof. Petri Suomala, Assistant Prof. Teemu Laine Examiner and topic approved …

Topical Structure in Long Informal Documents
A Kazantseva – 2014 – ruor.uottawa.ca
Page 1. Topical Structure in Long Informal Documents Anna Kazantseva Thesis submitted to the Faculty of Graduate and Postdoctoral Studies in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science …

Supplementary materials for” ProppLearner: Deeply Annotating a Corpus of Russian Folktales to Enable the Machine Learning of a Russian Formalist Theory”
MA Finlayson – 2015 – dspace.mit.edu
Page 1. Learning Narrative Structure from Annotated Folktales by Mark Alan Finlayson BSE, University of Michigan (1998) SM, Massachusetts Institute of Technology (2001) Submitted to the Department of Electrical Engineering …

Language and action: A structural model of behaviour
DD Clarke – 2017 – books.google.com
Page 1. INTERNATIONAL SERIES IN EXPERIMENTAL SOCIAL PSYCHOLOGY VOLUME 7 LA/ and Action A STRUCTURAL MODEL OF BEHAWIOUR DAVID D CLARKE Pergamon Press Page 2. LANGUAGE AND ACTION ASTRUCTURAL MODEL OF BEHAVIOUR Page 3 …

Adama Science and Technology University School of Graduate Studies Department of Computing
T Gizachew – 2015 – researchgate.net
Page 1. I Adama Science and Technology University School of Graduate Studies Department of Computing Development of an Enhanced Case based Counseling System for Supporting Student’s Decision Making Process (Special reference to Higher Education in Ethiopia) …