Articles

This paper proposes a practical approach employing n-gram models and error-correction rules for Thai key prediction and Thai-English language identification. The paper also proposes rule-reduction algorithm applying mutual information to reduce the error-correction rules. Our algorithm reported more than 99% accuracy in both language identification and key prediction. 1...

We describe the treatment of questions (Question-Answer Typology, question parsing, and results) in the Weblcopedia question answering system. 1....

We describe a three-tiered approach for evaluation of spoken dialogue systems. The three tiers measure user satisfaction, system support of mission success and component performance. We describe our use of this approach in numerous fielded user studies conducted with the U.S. military. Keywords Evaluation, spoken language system, spoken dialogue system …...

SynDiKA Te comprises a family of text understanding sys- tems for automatically acquiring kno wledge from real-w orld texts, viz. information tec hnology test rep orts and medical �nding rep orts. Their con ten t is transformed to formal rep- resen tation structures whic h constitute corresp onding text kno …...

Signs are everywhere in our lives. They make our lives easier when we are familiar with them. But sometimes they also pose problems. For example, a tourist might not be able to understand signs in a foreign country. In this paper, we present our efforts towards automatic sign translation. We …...

The problem of organizing information for m ultido cumen t summarization so that the generated summary is coheren t has receiv ed relativ ely little atten tion. In this pap er, w e describ e t w o naiv e ordering tec hniques and sho w that they do not …...

This paper describes SCANMail, a system that allows users to browse and search their voicemail messages by content through a GUI. Content based navigation is realized by use of automatic speech recognition, information retrieval, information extraction and human computer interaction technology. In addition to the browsing and querying functionalities, acoustics-based …...

This paper describes the scalability and portability of a Belief Network (BN)-based mixed initiative dialog model across application domains. The Belief Networks (BNs) are used to automatically govern the transitions between a system-initiative and a user-initiative dialog model, in order to produce mixed- initiative interactions. We have migrated our dialog …...

This paper gives an overview of our work on statistical ma- chine translation of spoken dialogues, in particular in the framework of the Verbmobil project. The goal of the Verbmobil project is the translation of spoken dialogues in the domains of appointment scheduling and travel plan- ning. Starting with the …...

This paper describes a system for rapidly retargetable interactive translingual retrieval. Basic functionality can be achieved for a new document language in a single day, and further improvements re- quire only a relatively modest additional investment. We applied the techniquesfirst to searchChinesecollectionsusingEnglish queries, and have successfullyaddedFrench, German, and Italian document …...

Although there has been regular improvement in speech recog- nition technology over the past decade, speech recognition is far from being a solved problem. Most recognition systems are tuned to a particular task and porting the system to a new task (or lan- guage) still requires substantial investment of time …...

In this paper, we address the problem of combining several lan- guage models (LMs). We find that simple interpolation methods, like log-linear and linear interpolation, improve the performance but fall short of the performance of an oracle. The oracle knows the reference word string and selects the word string with …...

For languages without word boundary delimiters, dictionaries are needed for segmenting running texts. This figure makes segmentation accuracy depend significantly on the quality of the dictionary used for analysis. If the dictionary is not sufficiently good, it will lead to a great number of unknown or unrecognized words. These unrecognized …...

We present and evaluate the initial version of RIPTIDES, a system that combines information extraction, extraction-based summarization, and natural language generation to support user- directed multidocument summarization. 1....

In this paper, we discuss experiments applying machine learning techniques to the task of confusion set disambiguation, using three orders of magnitude more training data than has previously been used for any disambiguation-in-string-context problem. In an attempt to determine when current learning methods will cease to benefit from additional training …...

Listen-Communicate-Show (LCS) is a new paradigm for human interaction with data sources. We integrate a spoken language understanding system with intelligent mobile agents that mediate between users and information sources. We have built and will demonstrate an application of this approach called LCS-Marine. Using LCS-Marine, tactical personnel can converse with …...

This paper describes the sixteen Duluth entries in the SENSEVAL-2 comparative exercise among word sense disambiguation systems. There were eight pairs of Duluth systems entered in the Spanish and English lexical sample tasks. These are all based on standard machine learning algo- rithms that induce classifiers from sense-tagged training text …...

We submitted four systems to the Japanese dictionary-based lexical-sample task of SENSEVAL-2. They were i) the support vector machine method ii) the simple Bayes method, iii) a method combining the two, and iv) a method combining two kinds of each. The combined methods obtained the best precision among the submitted …...

The WSD system presented at SENSEVAL-2 uses a knowledge-based method for noun dis- ambiguation and a corpus-based method for verbs and adjectives. The methods are, respec- tively, Specification Marks and Maximum En- tropy probability models. So, we can say that this is a hybrid system which joins an unsuper- vised …...

We present here the main ideas of the algo- rithm employed in the SMUls and SMU aw sys- tems. These systems have participated in the SENSEVAL-2 competition attaining the best per- formance for both English all words and En- glish lexical sample tasks1. The algorithm has two main components (1) …...