Corpora: EMNLP 2001 Call for Participation

Mon Apr 16 20:23:14 UTC 2001

     *** PRELIMINARY CALL FOR PARTICIPATION IN EMNLP 2001 ***

2001 Conference on Empirical Methods in Natural Language Processing

Sponsored by SIGDAT and the Intelligent Information Systems Institute (IISI)

---------------------------------------------------------

SIGDAT, the Association for Computational Linguistics' special
interest group on linguistic data and corpus-based approaches to NLP,
invites participation at EMNLP 2001 at Carnegie Mellon University,
Pittsburgh, PA USA on June 3 and 4, immediately preceding the meeting
of the North American Chapter of the ACL (NAACL 2001).

We anticipate an exciting program devoted to advances in all areas of
traditional interest to the SIGDAT and related fields, as well as to
this year's theme:
   "What Works and What Doesn't: Successes and Challenges".
We'll have two days of paper presentations, panels, and invited talks,
including an invited talk by Eric Brill of Microsoft Research.

URL: http://www.cs.cornell.edu/home/llee/emnlp.html

Registration: see http://www.cs.cmu.edu/~ref/naacl/registration-forms.html
  * Early registration: by April 30
  * Late registration: May 1-26
  * On site registration also available

Talks/Panels: to be announced.  Confirmed: Eric Brill, Microsoft Research.

Papers accepted for presentation:
--------------------------------
Information Extraction using the Structured Language Model
Ciprian Chelba and Milind Mahajan

Knowledge Sources for Word-Level Translation Models
Philipp Koehn and Kevin Knight

Limitations of Co-training for Natural Language Learning from Large Datasets
David Pierce and Claire Cardie

Question Answering Using a Large Text Database: A Machine Learning Approach
Hwee Tou Ng, Jennifer Lai Pheng Kwan, and Yiyuan Xia

Stacking classifiers for anti-spam filtering of e-mail
Georgios Sakkis, Ion Androutsopoulos, Georgios Paliouras, Vangelis
Karkaletsis, Constantine D. Spyropoulos, and Panagiotis Stamatopoulos

A Sequential Model for Multi-class Classification
Yair Even-Zohar and Dan Roth

Creating Concise and Coherent Extract Summaries of Multi-Party Conversations
in Unrestricted Domains
Klaus Zechner

Feature Space Restructuring for SVMs with Application to Text Categorization
Hiroya Takamura and Yuji Matsumoto

Comparing Data-driven Learning Algorithms for PoS Tagging of Swedish
Beata Megyesi

Classifying Semantic Relations between Noun Compounds using a
Domain-Specific Lexical Hierarchy
Barbara Rosario and Marti Hearst

Automatic Corpus-based Tone Prediction using K-ToBI Representation
Jin-seok Lee, Byeongchang Kim and Gary Geunbae Lee

Event Segmentation of Consumer Photographs using Information Extraction from
Spoken Annotations
Amanda Stent and Alexander Loui

Using Bins to Empirically Estimate Term Weights for Text Categorization
Carl Sable and Ken Church

Using Shallow NLP in Adaptive Information Extraction from Web-related Texts
Fabio Ciravegna

Detecting short passages of similar text in large document collections
Caroline Lyon, Bob Dickerson and James Malcolm

Impact of quality and quantity of corpora on stochastic generation
Srinivas Bangalore, John Chen, and Owen Rambow

Improving Lexical Mapping Model of English-Korean Bitext Using Structural
Features
Seonho Kim, Juntae Yoon and Mansuk Song

Corpus Variation and Parser Performance
Daniel Gildea

The Unknown Word Problem: A Morphological Analysis of Japanese Using Maximum
Entropy Aided by a Dictionary
Kiyotaka Uchimoto, Satoshi Sekine, Hitoshi Isahara

Latent Semantic Analysis for Text Segmentation
Freddy Y. Y. Choi, Peter Wiemer-Hastings, and Johanna Moore

Hybrid text mining for finding abbreviations and their definitions
Youngja Park and Roy J. Byrd

Is Knowledge-Free Induction of Multiword Unit Dictionary Headwords a Solved
Problem?
Patrick Schone and Daniel Jurafsky

Learning Within-Sentence Semantic Coherence
Elena Eneva, Rose Hoberman, and Lucian Lita

Probabilistic Context-Free Grammars for Syllabification and
Grapheme-to-Phoneme Conversion
Karin Mueller

Program Committee
-----------------

Program Chair: Lillian Lee, Cornell University (llee at cs.cornell.edu)
Program Co-Chair: Donna Harman, NIST (donna.harman at nist.gov)
Publication Chair: David Yarowsky, Johns Hopkins University
(yarowsky at cs.jhu.edu)

Regina Barzilay, Columbia University
Thorsten Brants, Xerox
Chris Brew, Ohio State University
Eugene Charniak, Brown University
Key-Sun Choi, KAIST
Ken Church, AT&T Research
Stephen Clark, University of Edinburgh
Michael Collins, AT&T Research
Eric Gaussier, Xerox
Marti Hearst, UC Berkeley
Don Hindle, AnswerLogic
Changning Huang, Microsoft
Rebecca Hwa, University of Maryland
Hitoshi Iida, Sony
Paul Jacobs, AnswerLogic
Christian Jacquemin, LIMSI
Maghi King, University of Geneva
Wessel Kraaij, TNO-TPD
Maria Lapata, Saarland University/University of Edinburgh
Elizabeth Liddy, Syracuse University
Marc Light, MITRE
Dekang Lin, University of Alberta
Kim-Teng Lua, National University of Singapore
Lluís Màrquez, Technical University of Catalonia
Diana McCarthy, University of Sussex
Helen Meng, The Chinese University of Hong Kong
Paola Merlo,University of Geneva
Rada Mihalcea, Southern Methodist University
Guenter Neumann, DFKI
Jian-Yun Nie, University of Montreal
Franz Josef Och, RWTH Aachen
Ted Pedersen, University of Minnesota,Duluth
Roni Rosenfeld, Carnegie Mellon University
Erik Tjong Kim Sang, University of Antwerp
Anoop Sarkar, University of Pennsylvania
Paola Velardi, University of Rome "La Sapienza"
Atro Voutilainen, Conexor
Kiri Wagstaff, Cornell University
Roman Yangarber, New York University
Joe Zhou, Intel