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29th Annual Meeting
of the Association for
Computational Linguistics
Proceedings of the Conference
18-21 June 1991 University of California
Berkeley, California, USA
Published by the Association for Computational Linguistics
© 1991, Association for Computational Linguistics
Order copies of this and other ACL proceedings from:
Donald E. Walker (ACL) Bellcore, MRE 2A379 445 South Street, Box 1910 Morristown, NJ 07960-1910, USA
PREFACE
This volume contains the papers prepared for the 29th Annual Meeting of the Association for Computational Linguistics, held 18-21 June 1991 in Berkeley, California. Also, for the first time the program included a number of presentations by students describing interesting dissertation work in progress. Their papers are gathered in a separate section at the end of this Proceedings.
The program committee found its job to be quite difficult this year because of the extraordinarily high quality of the submissions we received. Because of the high overall quality, we have expanded the number of papers we accepted this year, and even so we felt that some papers were rejected that would have met the standards of past years. It gives all of us great pleasure to see the field evolve and its standards of excellence increase. The entire computational linguistics research community deserves congratulations for this encouraging development. We feel this program demonstrates excellent progress in all areas of computational linguistics, and it reflects the increasingly international character of the research community, with contributions from Europe, Asia, the Middle East, and North America. We hope that you find these papers as interesting and exciting as we did.
As Program Chair, I wish thank our invited speakers, Sue Atkins, Charles Fillmore, and Jun-ichi Tsujii for their contributions to the program. I also thank Cecile Paris for organizing the tutorial sessions, and Jaime Carbonell, Julia Hirschberg, Nancy Ide, Kathleen McCoy, Johanna Moore, and Yorick Wilks for giving the tutorials. I also wish to extend my gratitude to Peter Norvig for the local arrangements, and to Sandra Newton for organizing the exhibit program, and of course, to Don Walker and Betty Walker for their tireless efforts on behalf of the ACL.
Finally, I wish to thank my fellow 1991 program committee members for their efforts in reading the 165 submitted papers: Ken Church, AT&T Bell Labs and USC/ISI; Robin Cohen, University of Waterloo; Erhard Hinrichs, University of Tiibingen; Eduard Hovy, USC/ISI; Robert Ingria BBN Systems and Technologies; Yasuhiro Katagiri, NTT Basic Research Laboratories; Diane Litman, Columbia University; K. Vijay-Shanker, University of Delaware; Meg Withgott, XEROX Palo Alto Research Center; and Henk Zeevat, Un&ersity of Amsterdam.
Douglas E. Appelt, SRI International Chair, Program Committee
i i i
CONFERENCE PROGRAM
9:00-12:30
2:00-5:30
TUESDAY, 18 JUNE
TUTORIAL SESSIONS
Natural Language Generation Kathleen McCoy and Johanna Moore
Intonation in Spoken Language Systems Julia Hirschberg
TUTORIAL SESSIONS
Computational Linguistics Methodologies for Humanities Computing Nancy M. Ide
Machine Translation: An In-Depth Tutorial Jaime Carbonell and Yorick Wilks
8:30-8:45
8:45-9:10
9:10-9:35
9:35-10:00
10:20--10:45
10:45-11:10
11:10-11:30
I 1:30-11:50
12:00-1:30
WEDNESDAY, 19 JUNE
OPENING REMARKS AND ANOUNCEMENTS
Resolution of Collective-Distributive Ambiguity Using Model-Based Reasoning Chinatsu Aone
Inclusion, Disjointness and Choice: The Logic of Linguistic Classification Bob Carpenter & Carl Pollard
Event-Building through Role-Filling and Anaphora Resolution Greg Whittemore, Melissa Macpherson & G-reg Carlson
Toward a Plan-Based Understanding Model for Mixed-Initiative Dialogues Hiroaki Kitano & Carol Van Ess-Dykema
An Algorithm for Plan Recognition in Collaborative Discourse Karen E. Lochbaum
A Three-Level Model for Plan Exploration Lance A. Ramshaw
A Tripartite Plan-Based Model of Dialogue Lynn Lamber t & Sandra Carberry
STUDENT SESSION 1
Logical Form of Complex Sentences in Task-Oriented Dialogues Cecile T. Balkanski, Harvard University
Action Representation for NL Instructions Barbara Di Eugenio, University of Pennsylvania
Extracting Semantic Roles from a Model of Eventualities Sylvie Rattd, University of Qudbec at Montreal
Case Revisited: In the Shadow of Automatic Processing of Machine-Readable Dictionaries Fuliang Weng, New Mexico State University
iv
12:00-1:30
1:40-2:05
2:05-2:30
2:30-2:55
3:15-3:40
3:40-4:05
4:05-4:30
4:50-5:15
5:15-5:40
5:40-6:05
8:30-8:55
8:55-9:20
9:20-9:45
9:45-10:10
10:30-10:55
10:55-12:00
12:00-1:30
STUDENT SESSION 2
Discovering the Lexical Features of a Language Eric Brill, University of Pennsylvania
Lexical Disambiguation: Information Sources and their Statistical Realization Ido Dagan, Technion
Non-Literal Word Sense Identification through Semantic Network Path Schemata Eric Iverson & Stephen Helmreich, New Mexico State University
Discourse Relations and Defeasible Knowledge Alex Lascarides & Nicholas Asher
Some Facts about Centers, lndexicals, and Demonstratives Rebecca J. Passonneau
Type-Raising and Directionality in Combinatory Grammar Mark Steedman
Efficient Incremental Processing with Categorial Grammar Mark Hepple
Compose-Reduce Parsing Henry S. Thompson, Mike Dixon & John Lamping
LR Recursive Transition Networks for Farley and Tomita Parsing Mark Perlin
Polynomial Time and Space Shift-Reduce Parsing of Arbitrary Context-Free Grammars Yves Schabes
Head Corner Parsing for Discontinuous Constituency Gertjan van Noord
The Acquisition and Application of Context Sensitive Grammar for English Robert F. Simmons & Yeong-Ho Yu
THURSDAY', 20 JUNE
Two Languages Are More Informative than One Ido Dagan, Alon Itai & Ulrike Schwall
Learning Perceptually-Grounded Semantics in the L o Project Terry Regier
Subject-Dependent Co-occurrence and Word Sense Disambiguation Joe A. Guthrie, Louise Guthrie, Yorick Wilks & Homa Aidinejad
A System for Translating Locative Prepositions from English into French Nathalie Japkowicz & Janyce M. Wiebe
Translation by Quasi Logical Form Transfer Hiyan Alshawi, David Carter, Manny Rayner & BjSm Gamb§ck
Linguistic Problems and Extr~i-Linguistic Problems in Machine Translation (INVITED TALK) Jun-ichi Tsujii, UMIST
STUDENT SESSION 3
Collaborating on Referring Expressions Peter A. Heeman, University of Toronto
Conceptual Revision for Natural Language Generation Ben E. Cline, Virginia Polytechnic Institute & State University
V
12:00-1:30
1:45-2:05
2:05-2:25
2:25-2:50
3:10-3:35
3:35-4:00
4:20-4:45
4:45-5:10
5:10-5:35
5:35-6:00
8:30-8:55
8:55-9:20
9:20-9:45
10:05-11:05
1:10--1:35
1:35-2:00
2:00--2:25
Modifying Beliefs in a Plan-Based Dialogue Model Lynn Lambert, University of Delaware
Resolving a Pragmatics Prepositional Phrase Attachment Ambiguity Christine H. Nakatani, University of Pennsylvania
STUDENT SESSION 4
Current Research in the Development of a Spoken Language System using PARSEC Carla B. Zoltowski, Purdue University
Syntactic Graphs and Constraint Satisfaction Jeff Martin, University of Maryland
An Incremental Connectionist Phrase Structure Parser James Henderson, University of Pennsylvania
Aligning Sentences in Parallel Corpora Peter F. Brown, Jennifer C. Lai & Robert L. Mercer
A Program for Aligning Sentences in Bilingual Corpora William A. Gale & Kenneth W, Church
Experiments and Prospects of Example-Based Machine Translation Eiichiro Sumita & Hitoshi Iida
Resolving Translation Mismatches with Information Flow Megumi Kameyama, Ryo Ochitani & Stanley Peters
Automatic Noun Classification by Using Japanese-English Word Pairs Naomi Inoue
Automatic Acquisition of Subcategorization Frames from Untagged Text Michael R. Brent
Multiple Default Inheritance in a Unification-Based Lexicon Graham Russell, John Carroll & Susan Warwick-Armstrong
Metaphoric Generalization through Sort Coercion Ellen Hays & Samuel Bayer
Structural Ambiguity and Lexical Relations Donald Hindle & Mats Rooth
FRIDAY, 21 J U N E
Strategies for Adding Control Information to Declarative Grammars Hans Uszkoreit
Finite-State Approximation of Phrase Structure Grammars Fernando C.N. Pereira & Rebecca N. Wright
Feature Logic with Weak Subsumption Constraints Joehen DSrre
Word Meaning: Starting where the MRDs Stop (INVITED TALK) Charles Fillmore and Sue Atkins
Word Sense Disambiguation using Statistical Methods Peter F. Brown, Stephen A. DeUa Pietra, Vincent J. Della Pietra & Robert L. Mercer
A Stochastic Process for Word Frequency Distributions Harald Baayen
From N-Grams to Collocations: An Evaluation of Xtract Frank A. Smadja
v!
2:45-3:10
3:10-3:35
3:35--4:00
4:20--4:45
4:45-5:05
5:05-5:25
Predicting Intonational Phrasing from Text Michelle Q. Wang & Julia Hirschberg
A Preference-First Language Processor Integrating the Unification Grammar and Markov Language Model for Speech Recognition Applications Lee-Feng Chien, K.J. Chen& Lin-Shan Lee
Factorization of Language Constraints in Speech Recognition Roberto Pieraccini & Chin-Hui Lee
Constraint Projection: An Efficient Treatment of Disjunctive Feature Descriptions Mikio Nakano
Quasi-Destructive Graph Unification Hideto Tomabeehi
Unification with Lazy Non-Redundant Copying Martin C. Emele
vii
TUTORIALS
Natural Language Generation Kathleen McCoy, University of Delaware, and Joharma Moore, University of Pittsburgh
The ability to generate natural language utterances is an important component of many intelligent systems (expert systems, intelligent tutoring systems, advice-giving systems). This tutorial will provide an in-depth survey of the branch of computational linguistics known as natural language generation. Most of the work in natural language processing has concentrated on understanding text. Instead, we look at the problems involved in generating text. Generation brings up issues not apparent in understanding. The task of an understander is to recognize which choice has been taken. In contrast, a generator must decide why to make one choice over another. Considering generation forces the researcher to come to terms with issues concerning what kind of information must be available to the generation component, where that information may be obtained, and how information should be presented to different users in different situations. In this tutorial we concentrate on a portion of the generation process known as text planning, which is responsible for deciding what is to be said and how it is to be structured. We look at how the content of a text can be chosen (including topics in user modeling and text planning formalisms) and how texts should be structured in a coherent fashion (including topics on text structure and coherence, pragmatics, focus of attention).
Intonation in Spoken Language Sys tems Julia Hirschberg, AT&T Bell Laboratories
Current interest in spoken language systems has focused attention on potential interfaces between traditional concerns of Natural Language Processing with syntactic, semantic and diseourse/pragrnatics representation and analysis - and traditional concerns of speech scientists and engineers with speech recognition and synthesis. One area of mutual interest is intonational variation. How do intonational features such as phrasing and prominence interact with syntactic, semantic and discourse factors to shape the overall 'meaning' of an utterance? (Can parsers be designed to parse intonational features along with lexieal items? Can intonation disambiguate among possible semantic interpretations of a sentence?) How can knowledge of intonational regularities improve speech recognition techniques and provide more natural-sounding synthetic speech? (Can intonational information be incorporated into recognition hypotheses? Can likely intonational features be reliably predicted from text to approximate human intonation in synthetic speech?) This tutorial will survey (a) current empirical and theoretical research on the contribution of intonation to utterance interpretation, Co) methods of prosodic analysis from speech corpora, (c) alternative approaches to intonational description and representation, and (d) current and potential applications to speech generation systems, text-to-speech systems and speech recognition. The tutorial will be extensively illustrated with examples from natural and synthetic speech.
Computational Linguistics Methodologies for Humanities Computing Nancy M. Ide, Vassar College
Recently, panels and sessions at COLING, and conferences of the Association for Computational Linguistics, the Association for Computers and the Humanities, and the Association for Literary and Linguistic Computing have addressed the increasing merging of methodologies in the fields of computational linguistics and humanities computing. On the one hand, computational linguists are devoting considerable attention to statistical and other quantitative measures traditionally used in humanities computing. Also, work with large text corpora, long the central activity in humanities computing, is becoming an important area for computational linguistics. Computational linguists are now beginning to consider texts, and even literary texts, as an object of study and a rich source of information about the phenomena of language and discourse. On the other hand, humanists are turning to methods for morphological, syntactic, and semantic analysis developed by computational linguists to enhance their strategies for literary and linguistic studies. This tutorial will describe work which falls at the intersection of the fields of computational linguistics and humanities computing, either in methodology or use of materials, and show how these methods and materials benefit both disciplines. In particular, work in the areas of computational lexicology and lexicography, corpora and corpus linguistics, statistical models and methods for language and text analysis, and content analysis will be considered.
Machine Translation: An In-Depth Tutorial Jaime Carbonell, Carnegie Mellon University, and Yorick Wilks, New Mexico State University
Machine Translation (MT) is the area of computational linguistics with the longest history and with the largest volume of dedicated R&D resources on the global scene. After reviewing the primary objectives and accomplishments of MT in its 40-year history, the major MT paradigms will be presented in some detail, including syntactic transfer, semantic transfer, and interlingua-based approaches. Then, we will discuss the appropriateness of these methods to different application areas, including technical vs nontechnical text, specialized domains vs general text, multilingual vs bilingual requirements, spontaneous discourse vs prepared text, and full-translation vs text scanning vs fact extraction. We will also touch upon evaluation of MT systems and recent developments in MT such the re-emergence of statistical approaches, making knowledge-based interlingual MT systems practical, and the integration of MT with other technologies such as document production, optical character recognition, and speech understanding.
ix
TABLE OF CONTENTS
Resolution of Collective-Distributive Ambiguity Using Model-Based Reasoning Chinatsu Aone ...................................................................................................................................................... 1
Inclusion, Disjointness and Choice: The Logic of Linguistic Classification Bob Carpenter & Carl Pollard .............................................................................................................................. 9
Event-Building through Role-Filling and Anaphora Resolution Greg Whittemore, Melissa Macpherson & Greg Carlson .................................................................................. 17
Toward a Plan-Based Understanding Model for Mixed-lnitiative Dialogues Hiroaki Kitano & Carol Van Ess-Dykema 25
An Algorithm for Plan Recognition in Collaborative Discourse Karen E. Lochbaum ............................................................................................................................................ 33
A Three-Level Model for Plan Exploration Lance A. Ramshaw ............................................................................................................................................. 39
A Tripartite Plan-Based Model of Dialogue Lynn Lambert & Sandra Carberry ...................................................................................................................... 47
Discourse Relations and Defeasible Knowledge Alex Lascarides & Nicholas Asher .................................................................................................................... 55
Some Facts about Centers, Indexicals, and Demonstratives Rebecca J. Passonneau ....................................................................................................................................... 63
Type-Raising and Directionality in Combinatory Grammar Mark Steedman ................................................................................................................................................... 71
Efficient Incremental Processing with Categorial Grammar Mark Hepple ....................................................................................................................................................... 79
Compose-Reduce Parsing Henry S. Thompson, Mike Dixon & John Lamping .......................................................................................... 87
LR Recursive Transition Networks for Earley and Tomita Parsing Mark Perlin ......................................................................................................................................................... 98
Polynomial Time and Space Shift-Reduce Parsing of Arbitrary Context-Free Grammars Yves Sehabes ..................................................................................................................................................... 106
Head Corner Parsing for Discontinuous Constituency Gertjan van Noord ............................................................................................................................................ 114
The Acquisition and Application of Context Sensitive Grammar for English Robert F. Simmons & Yeong-Ho Yu ............................................................................................................... 122
Two Languages Are More Informative than One Ido Dagan, Alon Itai & Ulrike SchwaU ............................................................................................................ 130
Learning Perceptually-Grounded Semantics in the L o Project Terry Regier ..................................................................................................................................................... 138
Subject-Dependent Co-occurrence and Word Sense Disambiguation Joe A. Guthrie, Louise Guthrie, Yorick Wilks & Homa Aidinejad ................................................................. 146
A System for Translating Locative Prepositions from English into French Nathalie Japkowicz & Janyce M. Wiebe ......................................................................................................... 153
Translation by Quasi Logical Form Transfer Hiyan Alshawi, David Carter, Manny Rayner & BjSrn Garnb/ick ................................................................... 161
Aligning Sentences in Parallel Corpora Peter F. Brown, Jennifer C. Lai & Robert L. Mercer ....................................................................................... 169
A Program for Aligning Sentences in Bilingual Corpora William A. Gale & Kenneth W. Church .......................................................................................... . ............... 177
Experiments and Prospects of Example-Based Machine Translation Eiichiro Sumita & Hitoshi Iida ............................................................................................. ............................ 185
Resolving Translation Mismatches with Information Flow Megumi Kameyama, Ryo Ochitani & Stanley Peters ...................................................................................... 193
Automatic Noun Classification by Using Japanese-English Word Pairs Naomi Inoue ..................................................................................................................................................... 201
Automatic Acquisition of Subcategorization Frames from Untagged Text Michael R. Brent ................................................................................................... . .......................................... 209
Multiple Default Inheritance in a Unification-Based Lexicon Graham Russell, John Carroll & Susan Warwick-Armstrong ......................................................................... 215
Metaphoric Generalization through Sort Coercion Ellen Hays & Samuel Bayer ............................................................................................................................. 222
Structural Ambiguity and Lexical Relations Donald Hindle & Mats Rooth ............................................................................................ . .............................. 229
Strategies for Adding Control Information to Declarative Grammars Hans Uszkoreit ................................................................................................................................................. 237
Finite-State Approximation of Phrase Structure Grammars Fernando C.N. Pereira & Rebecca N. Wright .................................................................................................. 246
Feature Logic with Weak Subsumption Constraints Jochen DSrre ......................................................... . ........................................................................................... 256
Word Sense Disambiguation using Statistical Methods Peter F. Brown, Stephen A. Della Pietra, Vincent J. Della Pietra & Robert L. Mercer ................................... 264
A Stochastic Process for Word Frequency Distributions Harald Baayen .................................................................................................................................................. 271
From N-Grams to Collocations: An Evaluation of Xtract Frank A. Smadja ............................................................................................................................................... 279
Predicting Intonational Phrasing from Text Michelle Q. Wang & Julia Hirschberg ............................................................................................................. 285
A Preference-First Language Processor Integrating the Unification Grammar and Markov Language Model for Speech Recognition Applications
Lee-Feng Chien, K.J. C h e n & LinoShan Lee ................................................................................................... 293
Factorization of Language Constraints in Speech Recognition Roberto Pieraccini & Chin-Hui Lee ................................................................................................................. 299
Constraint Projection: An Efficient Treatment of Disjunctive Feature Descriptions Mikio Nakano ............................................................................................................................................... .... 307
Quasi -Destructive Graph Unification Hideto Tomabechi ............................................................................................................................................ 315
Unification with Lazy Non-Redundant Copying Martin C. Emele ......................................................................................................................................... : ..... 323
xi
STUDENT SESSION TABLE OF CONTENTS
Logical Form of Complex Sentences in Task-Oriented Dialogues Cecile T. Balkanski, Harvard University .................................................................................................................. 331
Action Representation for NL Irtstructions Barbara Di Eugenio, University o f Pennsylvania ..................................................................................................... 333
Extracting Semantic Roles from a Model of Eventualities Sylvie Ratt6, University o f Qu6bec at Montreal ....................................................................................................... 335
Case Revisited: In the Shadow of Automatic Processing of Machine-Readable Dictionaries Fuliang Weng, Hew Mexico State University ............................................................... . .......................................... 337
Discovering the LeMcal Features of a Language Eric Brill, University o f Pennsylvania ......................................................................................... . ............................ 339
Lexical Disambiguation: Information Sources and their Statistical Realization Ido Dagan, Technion ............................................... . ............................................................... . ............ .. ................... 341
Non-Literal Word Sense ldentifu:ation through Semantic Network Path Schemata Eric Iverson & Stephen Helmreich, Hew Mexico State University ....................................... . ................................. 343
Collaborating on Referring Expressions Peter A. Heeman, University o f Toronto .................................................................................................................. 345
Conceptual Revision for Natural Language Generation Ben E. Cline, Virginia Polytechnic Institute & State University .............................................................................. 347
Modifying Beliefs in a Plan-Based Dialogue Model Lynn Lambert, University o f Delaware 349
Resolving a Pragmatics Prepositional Phrase Attachment Ambiguity Christine H. Hakatani, University o f Pennsylvania ......................................................... ~ ........................................ 351
Current Research in the Development of a Spoken Language System using PARSEC Carla B. Zoltowski, Purdue University ..................................................................................................................... 353
Syntactic Graphs and Constraint Satisfaction Jeff Martin, University o f M a ~ l a n d 355
An Incremental Connectionist Phrase Structure Parser James Henderson, University o f Pennsylvania ......................................................................................................... 357
xiv
PREFACE TO THE STUDENT SESSION PAPERS
At the end of this volume are the papers accepted for short presentations at the student sessions of the 29th Annual Meeting of the Association for Computational Linguistics. Uplike the main conference sessions, where the emphasis is on completed work, the student sessions emphasize work in progress, judged on the basis of creativity, insight, and promise.
These student sessions are an experiment that might, ff successful, fulfill several desirable goals: (1) allowing student members to hone their presentation skills in front of a group not intimately familiar with their work; (2) providing student members with reactions m their research from the community at large, at a point where such reactions could make a significant difference; and (3) acting as "ice breakers," giving student members an opportunity m meet and talk with one another and with more senior researchers, ff the student sessions have even partly fulfilled these goals, then our efforts have been worthwhile.
Our thanks go to all the students who submitted papers to the session and to the hard-working and responsive members of the Student Session Committee for their efforts in planning the sessions and in serving as reviewers: Dania Egedi, Duke University; Jong-Gyun Lim, Columbia University; Susan McRoy, University of Toronto; Jeff Siskind, Massachusetts Institute of Technology; David Traum, University of Rochester; and Barbara Vauthey, New York University and Fribourg University. We are also grateful to the following regular ACL members, who spent hours reviewing and commenting on the papers: Sandra Carberry, University of Delaware; Mark Liberman, University of Pennsylvania; Terry Nutter, Virginia Polytechnic Institute; Bill Rapaport, SUNY Buffalo; Tomek Strzalkowski, New York University; and Kent Wittenberg, Bellcore and MCC.
The student sessions would not have been possible without the initiative and support of the ACL Executive Committee and the invaluable assistance of Marti Hearst and Peter Norvig. We owe a special debt of thanks to Doug Appelt and Don Walker for their advice and encouragement.
Bonnie Lynn Webber, University of Pennsylvania Chair, Student Session Program Committee
Philip Resnik, University of Pennsylvania Student Session Coordinator
J
AUTHOR INDEX
H o m a A i d i n e j a d ............................................ 146
H i y a n A l s h a w i ............................................... 161
C h i n a t s u A o n e ................................................... 1
N i c h o l a s A s b e r ................................................ 55
H a r a l d B a a y e n ............................................... 271
S a m u e l B a y e r ................................................ 222
M i c h a e l R. B r e n t ........................................... 209
P e t e r F. B r o w n ...................................... 169, 2 6 4
S a n d r a C a r b e r r y .............................................. 47
G r e g C a r l s o n ..................... . ............................. 17
B o b C a r p e n t e r ................................................... 9
J o h n Carrol l ................................................... 215
D a v i d C a r t e r .................................................. 161
K.J . Cher t ....................................................... 293
L e e - F e n g C h i e n ............................................. 293
K e n n e t h W . C h u r c h ....................................... 177
Ido D a g a n ...................................................... 130
S t e p h e n A. D e l l a P i e t r a ................................. 2 6 4
V i n c e n t J. D e l l a P i e t r a .................................. 2 6 4
M i k e D i x o n ..................... . ............................... 87
J o c h e n D o e r r e ............................. . ................. 256
M a r t i n C. E m e l e ............................................ 323
W i l l i a m A. G a l e ............................................ 1 7 7
B j o e m G a m b a e c k ......................................... . 1 6 1
J o e A. G u t h r i e ............................................... 146
L o u i s e G u t h r i e ............................................... 146
E l l en H a y s ..................................................... 222
M a r k H e p p l e ................................................... 79
D o n a l d H i n d l e ............................................... 229
Ju l i a H i r s c h b e r g ............................................ 285
Hi tosh i I ida .................................................. 185
N a o m i I n o u e ........................................... ....... 201
A l o n I ta i ........................................................ 130
N a t h a l i e J a p k o w i c z ....................................... 153
M e g u m i K a m e y a m a ...................................... 193
H i roak i K i t a n o ................................................. 25
J e n n i f e r C. La i ............................................... 1 6 9
L y n n L a m b e r t .................................................. 4 7
J o h n L a m p i n g .................................................. 87
A l e x L a s c a r i d e s • 55
L i n - S h a n L e e ................................................. 293
C h i n - H u i ~ ................................................. 2 9 9
K a r e n E. L o c h b a u m ................................ . ....... 33
M e l i s s a M a c p h e r s o n ....................................... 17
R o b e r t L. M e r c e r ................. . ................. 169, 2 6 4
M i k i o N a k a n o .............................................. 307
R y o O e h i t a n i ................................................. 193
R e b e c c a J. Pa s s o n n e a u .................................... 63
F e m a n d o C.N. P e r e i r a ................................... 2 4 6
M a r k P e r l i n ..................................................... 98
S t an l ey Pe t e r s 193
R o b e r t o P i e r a c e i n i ............. . ........................... 299
Car l Po l l a rd ....................................................... 9
l . a n e e A. R a m s h a w ......................................... 39
M a n n y R a y n e r ............................................... 161
Te r ry R e g i e r .................................................. 138
M a t s R o o t h .................................................... 229
G r a h a m Russe l l ........... . ................................. 215
Y v e s S c h a b e s ................................................ 106
U l r i k e S c h w a l l ............................................... 130
R o b e r t F. S i m m o n s ........................................ 122
F r a n k A. S m a d j a ........................... ~ ............... 279
M a r k S t e e d r n a n ............................................... 71
E i i ch i ro S u m i t a .............................................. 185
H e n r y S. T h o m p s o n ........................................ 87
H i d e t o T o m a b e c h i ..................... . ................... 315
H a n s U s z k o r e i t .............................................. 237
C a r o l V a n E s s - D y k e m a ................................... 25
G e r t j a n v a n N o o r d ......................................... 114
M i c b e l l e Q. W a n g ......................................... 285
S u s a n W a r w i c k - A r m s t r o n g ........................... 215
G r e g W h i t t e m o r e ............................................. 17
J a n y e e M. W i e b e ........................................... 153
Y o r i c k W i l k s ................................................. 146
R e b e c c a N. W r i g h t ........................................ 246
Y e o n g - H o Y u 122
STUDENT AUTHOR INDEX
Cec i l e T. B a l k a n s k i ....................................... 331
Er ic Br i l l ........................................................ 339
B e n E. C l i n e .................................................. 347
Ido D a g a n ...................................................... 341
B a r b a r a Di E u g e n i o ....................................... 333
P e t e r A. H e e m a n ........................................... 345
S t e p h e n H e l m r e i e h ........................................ 343
J a m e s H e n d e r s o n ........................................... 357
Er ic I v e r s o n ................................................... 343
L y n n L a m b e r t ................................................ 349
C h r i s t i n e H. N a k a t a n i . ............................... .... 351
J e f f M a r t i n ..................................................... 355
Sy lv i e Ra t t~ ................................................... 335
F u l i a n g W e n g 337
C a r l a B. Z o l t o w s k i ................. ~ ..... , ................ 353
I ( ¥