Interpreting Language in Context in CommandTalk

This paper will focus on how two representations of context are used in CommandTalk to correctly interpret the user's spoken utterances: situational context represents the current state of the simulation, and linguistic context represents the history of the user's linguistic acts

The Three Exit, Three Voice and Loyalty Framework: A Test with Survey Data on Local Services

The article presents a modified Hirschman framework with three types of exit: moving location; moving from the public to a private sector provider; and moving between public sector providers; and three types of voice: private voice (complaining about private goods); voting; and collective action. Seven hypotheses are generated from this framework. The article then presents evidence from the first round of an online survey examining citizen satisfaction with public services and the relationship between exit and voice opportunities. We find dissatisfied people are more likely to complain privately, vote and engage in other forms of collective participation; but only a weak relationship exists between dissatisfaction and geographical exit. We find some evidence that the exit-voice trade-off might exist as more alert consumers are more likely to move from the public to the private sector and those 'locked in' are more likely to complain than those who have outside options. Overall the results tend to corroborate the hypotheses drawn from the modified Hirschman framework

Building a robust dialogue system with limited data

We describe robustness techniques used in the CommandTalk system at the recognition level, the parsing level, and th dia6ue level, and how these were influenced by the lack of domain data. We used interviews with subject matter experts (SME's) to develop a single grammar for recognition, understanding, and generation, thus eliminating the need for a robust parser. We broadened the coverage of the recognition grammar by allowing word insertions and deletions, and we implemented clarification and correction subdialogues to increase robustness at tte dialogue level. We discuss the applicability of these techniques to other domains

GEMINI: A Natural Language System for Spoken-Language Understanding

Gemini is a natural language understanding system developed for spoken language applications. The paper describes the architecture of Gemini, paying particular attention to resolving the tension between robustness and overgeneration. Gemini features a broad-coverage unification-based grammar of English, fully interleaved syntactic and semantic processing in an all-paths, bottom-up parser, and an utterance-level parser to find interpretations of sentences that might not be analyzable as complete sentences. Gemini also includes novel components for recognizing and correcting grammatical disfluencies, and for doing parse preferences. This paper presents a component-by-component view of Gemini, providing detailed relevant measurements of size, efficiency, and performance.Comment: 8 pages, postscrip

Battle Patrol

Battle Patrol is a two-player, turn-based strategy game that involves a cast of animated cartoon characters in King-of-the-Hill style combat. It was created using a suite of professional artistic and engineering software over the course of several terms. The objective was to create a compact, easyto-play game that would serve as an art portfolio piece while demonstrating skill in JavaScript programming and collaborative project development. Though modest in scope, the project successfully fulfilled its goals

Open Microphone Speech Understanding: Correct Discrimination Of In Domain Speech

An ideal spoken dialogue system listens continually and determines which utterances were spoken to it, understands them and responds appropriately while ignoring the rest This paper outlines a simple method for achieving this goal which involves trading a slightly higher false rejection rate of in domain utterances for a higher correct rejection rate of Out of Domain (OOD) utterances. The system recognizes semantic entities specified by a unification grammar which is specialized by Explanation Based Learning (EBL). so that it only uses rules which are seen in the training data. The resulting grammar has probabilities assigned to each construct so that overgeneralizations are not a problem. The resulting system only recognizes utterances which reduce to a valid logical form which has meaning for the system and rejects the rest. A class N-gram grammar has been trained on the same training data. This system gives good recognition performance and offers good Out of Domain discrimination when combined with the semantic analysis. The resulting systems were tested on a Space Station Robot Dialogue Speech Database and a subset of the OGI conversational speech database. Both systems run in real time on a PC laptop and the present performance allows continuous listening with an acceptably low false acceptance rate. This type of open microphone system has been used in the Clarissa procedure reading and navigation spoken dialogue system which is being tested on the International Space Station

Employment of the Fighter Command in Home Defence

In the avalanche of literature on the Battle of Britain little recognition has been given to the notable prescience of Air Chief Marshall Sir Hugh C. T. Dowding in his advance planning for it

Digital History Display: A Legacy for The Worcester Armenian Community

Many Armenian immigrants have settled in the area surrounding Worcester since the Genocide of 1915. Over the years, many members of the community requested that their deceased family members, including Genocide victims, be memorialized by their parish. As a team, we inherited a physical card library of 411 unorganized pictures. Many cards were becoming torn and brittle. We were tasked with upgrading this aging display of cards into a 21st century digital solution that would memorialize all of these past friends of the church. The parish leaders envision an intuitive, inviting, and easily navigable electronic display capable of showing any one of an index of memorialized parishioners. The software platform used to display this information must be easy to manage, update, and change

Are You Talking to Me? Dialogue Systems Supporting Mixed Teams of Humans and Robots

This position paper describes an approach to building spoken dialogue systems for environments containing multiple human speakers and hearers, and multiple robotic speakers and hearers. We address the issue, for robotic hearers, of whether the speech they hear is intended for them, or more likely to be intended for some other hearer. We will describe data collected during a series of experiments involving teams of multiple human and robots (and other software participants), and some preliminary results for distinguishing robot-directed speech from human-directed speech. The domain of these experiments is Mars-analogue planetary exploration. These Mars-analogue field studies involve two subjects in simulated planetary space suits doing geological exploration with the help of 1-2 robots, supporting software agents, a habitat communicator and links to a remote science team. The two subjects are performing a task (geological exploration) which requires them to speak with each other while also speaking with their assistants. The technique used here is to use a probabilistic context-free grammar language model in the speech recognizer that is trained on prior robot-directed speech. Intuitively, the recognizer will give higher confidence to an utterance if it is similar to utterances that have been directed to the robot in the past