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 19 of 19 for “"Commonsense reasoning."”.
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Reducing complexity of consumer electronics interfaces using commonsense reasoning
… can provide better assistance to the user using Commonsense Reasoning leading to shorter interactions with the devices. Commonsense can infer the users' likely goals from watching their actions, and anticipate what capabilities of the device can fulfill the users' needs. As devices gain …
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Semantic understanding and commonsense reasoning in an adaptive photo agent
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
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Enhancing diversity in generative commonsense reasoning for explaining relationships between concepts
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Story understanding in Genesis : exploring automatic plot construction through commonsense reasoning
Whether through anecdotes, folklore, or formal history, humans learn the lessons and expectations of life from stories. If we are to build intelligent programs that learn as humans do, such programs must understand stories as well. Casting narrative text in an information-rich representation …
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Commonsense for Zero-Shot Natural Language Video Localization
… this work, we investigate the effectiveness of commonsense reasoning in zero-shot NLVL. Specifically, we present CORONET, a zero-shot NLVL framework that utilizes commonsense information to bridge the gap between videos and generated pseudo-queries through a commonsense enhancement module. Our …
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Practical artificial commonsense
… speed and accuracy of such machines, can draw on commonsense intuitions to effortlessly improvise novel solutions to unexpected problems. The objective of artificial commonsense is to bring some measure of this powerful mental agility and understanding to robots and software systems. In this …
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MOOIDE : natural language interface for programming MOO environments
… in programming. However, those systems lacked commonsense knowledge. MOOIDE brings commonsense features to natural language programming in addition to parsing. Commonsense reasoning allows MOOIDE to automatically include typical object properties, verb affordances and affordance rules as well …
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Narratarium : real-time context-based sound and color extraction from text
… of machine learning approaches, including commonsense reasoning and natural language processing. It can be highly customized to prioritize different performance metrics, most importantly accuracy and latency, and can be used with any tagged sound corpus. The final product allows users to …
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Learning commonsense knowledge from the interpretation of individual experiences
… intelligence, we need to discover how we learn commonsense knowledge. We humans are able to infer generalizations of knowledge, make predictions about the future, and answer questions based on what we've experienced. In this thesis I present a method for performing these commonsense tasks in an …
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Storied navigation : toward media collection-based storytelling
… natural language, using parsing and Commonsense reasoning to deduce possible connections between the narrative intent of the storyteller, and descriptions of events and characters in the video. It helps users increase their familiarity with a documentary video corpus. It helps them …
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Collaborative storytelling with an embodied conversational agent
… recognition, natural language processing with commonsense reasoning, multimodal interfaces, and floor management are critical to realizing a real-time collaborative interaction between children and an embodied conversational agent.
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On the nature and origin of intuitive theories : learning, physics and psychology
… intuitive psychology, which form the basis of commonsense reasoning. The overarching formal framework is that of hierarchical Bayesian models, which see the mind as having domain-specific hypotheses about how the world works. The work first extends models of intuitive psychology to include …
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Ruminati : modeling the detection of textual cyber-bullying
… models of models involving supervised learning, commonsense reasoning and probabilistic topic modeling to tackle each sub-problem.
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Mindful documentary
… between the videographer and a camera with commonsense reasoning abilities during capture and organization of documentary video collections. Knowledge is solicited from the videographer at the point of capture; it is used to generate narrative or contextual shot suggestions, which provide …
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Unforgettable Generalization in Language Models
… task instances; in other tasks (like physical commonsense reasoning and scientific question answering) forgetting affects only the training examples, and models continue to perform the “forgotten” task accurately even for examples very similar to those that appeared in the training set. Dataset …
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Language Learning in Interactive Environments
… with a partially observable world; (2) Commonsense reasoning to endow the agent with priors on how to interact with the world around it; and (3) Scaling to effectively explore sparse-reward, combinatorially-sized natural language state-action spaces. On the other hand, creating these …
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Changing times : an Iivestigation in probabilistic temporal reasoning
… is very demanding. The complexity of temporal reasoning has prohibited its use in real-time applications. This dissertation presents an approach to uncertain temporal reasoning that is more efficient and therefore more practical. To achieve this efficiency, many basic issues in temporal …
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Discrete event calculus using Semantic Web technologies
… Web languages to implement a recently developed commonsense reasoning formalism called Discrete Event Calculus (DEC). It aims to show to what extent DEC reasoning can be applied to Semantic Web data, using the Semantic Web standards and supporting development environments available for the …
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Controllable Language Generation Using Deep Learning
… such as sentiment, topical focus, and logical reasoning. Controlling these properties influences language model generative processes in ways that enhance their emotional resonance, improve logical consistency, and maintain topical relevance.</p> <p>To accomplish this objective I develop a …