Artificial Intelligence and Robotics Commons^™

Automated Classification Of Argument Stance In Student Essays: A Linguistically Motivated Approach With An Application For Supporting Argument Summarization, Adam Robert Faulkner

Dissertations, Theses, and Capstone Projects

This study describes a set of document- and sentence-level classification models designed to automate the task of determining the argument stance (for or against) of a student argumentative essay and the task of identifying any arguments in the essay that provide reasons in support of that stance. A suggested application utilizing these models is presented which involves the automated extraction of a single-sentence summary of an argumentative essay. This summary sentence indicates the overall argument stance of the essay from which the sentence was extracted and provides a representative argument in support of that stance.

A novel set …

Predicting Music Genre Preferences Based On Online Comments, Andrew J. Sinclair

Master's Theses

Communication Accommodation Theory (CAT) states that individuals adapt to each other’s communicative behaviors. This adaptation is called “convergence.” In this work we explore the convergence of writing styles of users of the online music distribution plat- form SoundCloud.com. In order to evaluate our system we created a corpus of over 38,000 comments retrieved from SoundCloud in April 2014. The corpus represents comments from 8 distinct musical genres: Classical, Electronic, Hip Hop, Jazz, Country, Metal, Folk, and World. Our corpus contains: short comments, frequent misspellings, little sentence struc- ture, hashtags, emoticons, and URLs. We adapt techniques used by researchers analyzing other …

Misheard Me Oronyminator: Using Oronyms To Validate The Correctness Of Frequency Dictionaries, Jennifer G. Hughes

Master's Theses

In the field of speech recognition, an algorithm must learn to tell the difference between "a nice rock" and "a gneiss rock". These identical-sounding phrases are called oronyms. Word frequency dictionaries are often used by speech recognition systems to help resolve phonetic sequences with more than one possible orthographic phrase interpretation, by looking up which oronym of the root phonetic sequence contains the most-common words.

Our paper demonstrates a technique used to validate word frequency dictionary values. We chose to use frequency values from the UNISYN dictionary, which tallies each word on a per-occurance basis, using a proprietary text corpus, …

Csc Senior Project: Nlpstats, Michael Mease

Computer Science and Software Engineering

Natural Language Processing has recently increased in popularity. The field of authorship analysis, specifically, uses various characteristics of text quantified by markers. NLPStats serves as a tool designed to streamline marker extraction based on user needs. A flexible query system allows for custom marker requests, adjustment of result formatting, and preprocessing options. Furthermore, an efficiently designed structure ensures that users retrieve information quickly. As a whole, NLPStats enables anyone, regardless of NLP experience, to extract important information about the text of a document.

Brain Function Differences In Language Processing In Children And Adults With Autism, Diane L. Williams, Vladimir L. Cherkassky, Robert A. Mason, Timothy A. Keller, Nancy J. Minshew, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Distinctive Neural Processes During Learning In Autism, Sarah Schipul, Diane Williams, Timothy Keller, Nancy Minshew, Marcel Just

Marcel Adam Just

No abstract provided.

Brain Activation For Language Dual-Tasking: Listening To Two People Speak At The Same Time And A Change In Network Timing, Augusto Buchweitz, Timothy Keller, Ann Meyler, Marcel Just

Marcel Adam Just

No abstract provided.

Autism As A Neural Systems Disorder: A Theory Of Frontal-Posterior Underconnectivity, Marcel Just, Timothy Keller, Vicente Malave, Rajesh Kana, Sashank Varma

Marcel Adam Just

No abstract provided.

An Fmri Investigation Of Analogical Mapping In Metaphor Comprehension: The Influence Of Context And Individual Cognitive Capacities On Processing Demands., Chantel Prat, Robert Mason, Marcel Just

Marcel Adam Just

No abstract provided.

Exploring Commonalities Across Participants In The Neural Representation Of Objects, Svetlana V. Shinkareva, Vicente L. Malave, Marcel Adam Just, Tom M. Mitchell

Marcel Adam Just

No abstract provided.

Identifying Bilingual Semantic Neural Representations Across Languages, Augusto Buchweitz, Svetlana V. Shinkareva, Robert A. Mason, Tom M. Mitchell, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Differentiable Cortical Networks For Inferences Concerning People’S Intentions Versus Physical Causality, Robert Mason, Marcel Just

Marcel Adam Just

No abstract provided.

Autonomy Of Lower-Level Perception From Global Processing In Autism: Evidence From Brain Activation And Functional Connectivity, Yanni Liu, Vladimir L. Cherkassky, Nancy J. Minshew, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Inter-Regional Brain Communication And Its Disturbance In Autism, Sarah E. Schipul, Timothy A. Keller, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Computational Style Processing, Foaad Khosmood

Foaad Khosmood

Our main thesis is that computational processing of natural language styles can be accomplished using corpus analysis methods and language transformation rules. We demonstrate this first by statistically modeling natural language styles, and second by developing tools that carry out style processing, and finally by running experiments using the tools and evaluating the results. Specifically, we present a model for style in natural languages, and demonstrate style processing in three ways: Our system analyzes styles in quantifiable terms according to our model (analysis), associates documents based on stylistic similarity to known corpora (classification) and manipulates texts to match a desired …

Quantitative Modeling Of The Neural Representation Of Objects: How Semantic Feature Norms Can Account For Fmri Activation, Kai-Min Kevin Chang, Tom Mitchell, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Individual Differences In The Neural Basis Of Causal Inferencing, Chantel S. Prat, Robert A. Mason, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Commonality Of Neural Representations Of Words And Pictures, Svetlana V. Shinkareva, Vincente L. Malave, Robert A. Mason, Tom M. Mitchell, Marcel Adam Just

Marcel Adam Just

No abstract provided.

The Neural Basis Of Deictic Shifting In Linguistic Perspective-Taking In High-Functioning Autism, Akiko Mizuno, Yanni Liu, Diane L. Williams, Timothy A. Keller, Nancy J. Minshew, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Exploring The Neural Dynamics Underpinning Individual Differences In Sentence Comprehension, Chantel S. Prat, Marcel Adam Just

Marcel Adam Just

No abstract provided.

Visual Salience And Reference Resolution In Situated Dialogues: A Corpus-Based Evaluation., Niels Schütte, John D. Kelleher, Brian Mac Namee

Conference papers

Dialogues between humans and robots are necessarily situated and so, often, a shared visual context is present. Exophoric references are very frequent in situated dialogues, and are particularly important in the presence of a shared visual context - for example when a human is verbally guiding a tele-operated mobile robot. We present an approach to automatically resolving exophoric referring expressions in a situated dialogue based on the visual salience of possible referents. We evaluate the effectiveness of this approach and a range of different salience metrics using data from the SCARE corpus which we have augmented with visual information. The …

Situating Spatial Templates For Human-Robot Interaction, John D. Kelleher, Robert J. Ross, Brian Mac Namee, Colm Sloan

Conference papers

People often refer to objects by describing the object's spatial location relative to another object. Due to their ubiquity in situated discourse, the ability to use 'locative expressions' is fundamental to human-robot dialogue systems. A key component of this ability are computational models of spatial term semantics. These models bridge the grounding gap between spatial language and sensor data. Within the Artificial Intelligence and Robotics communities, spatial template based accounts, such as the Attention Vector Sum model (Regier and Carlson, 2001), have found considerable application in mediating situated human-machine communication (Gorniak, 2004; Brenner et a., 2007; Kelleher and Costello, 2009). …

Topology In Composite Spatial Terms, John D. Kelleher, Robert J. Ross

Conference papers

People often refer to objects by describing the object's spatial location relative to another object, e.g. the book on the right of the table. This type of referring expression is called a spatial locative expression. Spatial locatives have three major components: (1) the target object that is being located (the book), (2) the landmark object relative to which the target is being located (the table), and (3) the description of the spatial relationship that exists between the target and the landmark (on the right of ). In English spatial relationships are often described using spatial prepositions. The set of English …

Proceedings Of The Sixth International Natural Language Generation Conference (Inlg 2010)., John D. Kelleher, Brian Mac Namee, Ielka Van Der Sluis

Conference papers

No abstract provided.

Toward A Theory-Based Natural Language Capability In Robots And Other Embodied Agents : Evaluating Hausser's Slim Theory And Database Semantics, Robin Kowalchuk Burk

Legacy Theses & Dissertations (2009 - 2024)

Computational natural language understanding and generation have been a goal of artificial intelligence since McCarthy, Minsky, Rochester and Shannon first proposed to spend the summer of 1956 studying this and related problems. Although statistical approaches dominate current natural language applications, two current research trends bring renewed focus on this goal. The nascent field of artificial general intelligence (AGI) seeks to evolve intelligent agents whose multi-subagent architectures are motivated by neuroscience insights into the modular functional structure of the brain and by cognitive science insights into human learning processes. Rapid advances in cognitive robotics also entail multi-agent software architectures that attempt …

Cortical Underconnectivity Coupled With Preserved Visuospatial Cognition In Autism: Evidence From An Fmri Study Of An Embedded Figures Task, Saudamini Damarla, Timothy A. Keller, Rajesh K. Kana, Vladimir L. Cherkassky, Diane L. Williams, Nancy J. Minshew, Marcel Adam Just

Marcel Adam Just

No abstract provided.

A Neurosemantic Theory Of Concrete Noun Representation Based On The Underlying Brain Codes, Marcel Adam Just, Vladimir L. Cherkassky, Sandesh Aryal, Tom M. Mitchell

Marcel Adam Just

No abstract provided.

Applying Computational Models Of Spatial Prepositions To Visually Situated Dialog, John D. Kelleher, Fintan Costello

Articles

This article describes the application of computational models of spatial prepositions to visually situated dialog systems. In these dialogs, spatial prepositions are important because people often use them to refer to entities in the visual context of a dialog. We first describe a generic architecture for a visually situated dialog system and highlight the interactions between the spatial cognition module, which provides the interface to the models of prepositional semantics, and the other components in the architecture. Following this, we present two new computational models of topological and projective spatial prepositions. The main novelty within these models is the fact …

Brain Activation For Reading And Listening Comprehension: An Fmri Study Of Modality Effects And Individual Differences In Language Comprehension., Augusto Buchweitz, Robert Mason, Tomitch Leda, Marcel Just

Marcel Adam Just

No abstract provided.

Altering Cortical Connectivity: Remediation-Induced Changes In The White Matter Of Poor Readers, Timothy Keller, Marcel Just

Marcel Adam Just

No abstract provided.