Computational Linguistics Commons^™

An Automated Tool For Comparing Phonetic Transcriptions, Dallin J. Bailey, Marisha Speights Atkins, Ishaan Mishra, Sicheng Li, Yaoxuan Luan, Cheryl Seals

Faculty Publications

Many computerized tools for comparing phonetic transcriptions have been proposed and shared in the past; however, previous tools are relatively difficult to access and incorporate into clinical and research practice, or require users to learn additional phonetic symbol systems. The purpose of this project was to develop and test a readily available web-based application for quantitatively comparing phonetic transcriptions that are input using International Phonetic Alphabet (IPA) symbols. A web-based computer application was developed to allow for IPA phonetic transcription comparison. A point-and-click keyboard was developed to provide support for character input of the full IPA, as well as most …

Active Learning For Part-Of-Speech Tagging: Accelerating Corpus Annotation, Deryle W. Lonsdale, Eric K. Ringger, Peter J. Mcclanahan, Robbie A. Haertel, George Busby, Marc A. Carmen, James Carroll, Kevin Seppi

Faculty Publications

In the construction of a part-of-speech annotated corpus, we are constrained by a fixed budget. A fully annotated corpus is required, but we can afford to label only a subset. We train a Maximum Entropy Markov Model tagger from a labeled subset and automatically tag the remainder. This paper addresses the question of where to focus our manual tagging efforts in order to deliver an annotation of highest quality. In this context, we find that active learning is always helpful. We focus on Query by Uncertainty (QBU) and Query by Committee (QBC) and report on experiments with several baselines and …

Xnl-Soar, Incremental Parsing, And The Minimalist Program, Deryle W. Lonsdale, Lareina Hingson, Jamison Cooper-Leavitt, David W. Casbeer, Rebecca Madsen

Faculty Publications

Minimalist Principles (Chomsky 1995)

Hierarchy of Projections (Adger 2003)

Features play a central role

NP, VP symmetry including shells

An Operator-Based Account Of Semantic Processing, Deryle W. Lonsdale, C. Anton Rytting

Faculty Publications

This paper explores issues of psychological plausibility in modeling natural language understanding within Soar, a symbolic cognitive model. It focuses on constructing syntactic and semantic representations in simulated real time, with particular emphasis on word sense disambiguation (WSD). We discuss (i) what level of WSD should be modeled and (ii) how to use resources such as WordNet to inform these models. A preliminary model of coarse-grained WSD is included to show how syntactic, semantic, and other knowledge sources interact in Soar. Finally, we explore issues of interleaving, learning, and integrating other WSD approaches with Soar's native model of learning.

Automatic Creation Of Web Services From Extraction Ontologies, Deryle W. Lonsdale, Cui Tao, Yihong Ding

Faculty Publications

The Semantic Web promises to provide timely, targeted access to user-specified information online. Though standardized services exist for performing this work, specifying these services is too complex for most people. Annotating these services is also problematic. A similar situation exists for traditional information extraction, where ontologies are increasingly used to specify information used by various extraction methods. The approach we introduce in this paper involves converting such ontologies into executable Java code. These APIs act individually or compositionally as services for Semantic Web extraction.

Resolving Automatic Prepositional Phrase Attachments By Non-Statistical Means, Deryle W. Lonsdale, Michael B. Manookin

Faculty Publications

Prepositional-phrase attachment is a topic of active research in the field of computational linguistics. Properly attaching prepositional phrases to their pertinent constituent proves straightforward for humans, but inferring these attachments in a cognitive modeling system becomes difficult. For example, in the sentence, ‘Ralph threw the frisbee to John,’ the prepositional phrase ‘to John’ will attach to the verb phrase ‘threw’. In another example, ‘Joe saw the dog with fur,’ the prepositional phrase ‘with fur’ will attach directly to the noun phrase ‘the dog.’ Humans would have little difficulty resolving these examples, but for computers this would be difficult.

Integrating Perception, Language And Problem Solving In A Cognitive Agent For A Mobile Robot., Deryle W. Lonsdale, D. Paul Benjamin, Damian M. Lyons

Faculty Publications

We are implementing a unified cognitive architecture for a mobile robot. Our goal is to endow a robot agent with the full range of cognitive abilities, including perception, use of natural language, learning and the ability to solve complex problems. The perspective of this work is that an architecture based on a unified theory of robot cognition has the best chance of attaining human-level performance.

This agent architecture is an integration of three theories: a theory of cognition embodied in the Soar system, the RS formal model of sensorimotor activity and an algebraic theory of decomposition and reformulation.

These three …

Combining Learning Approaches For Incremental On-Line Parsing, Deryle W. Lonsdale, Michael B. Manookin

Faculty Publications

This paper discusses the integration of two different machine learning approaches to modeling language, NL-Soar and analogical modeling (AM). The resulting hybrid system is capable of functionality that is not possible when using only one of the systems in isolation. After a brief introduction of each system, an explanation is given of how AM is used to provide information useful to NL-Soar for two tasks. Examples are given, and related issues are outlined.

Nl-Soar Update, Deryle W. Lonsdale

Faculty Publications

No abstract provided.

Nl-Soar And Lg-Soar: Ongoing Work, Deryle W. Lonsdale

Faculty Publications

Goals:

Expand Soar knowledge and explore possible uses on-campus

Provide and support an NL capability to the Soar research community

Toolkits, resources, knowledge repositories

Carry out research into the cognitive modeling of linguistic performance