Accepted Papers
Below are the papers, listed in alphabetical order by title, that have been accepted for ACL 2005.
A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification
Karim Filali and Jeff Bilmes
A Hierarchical Phrase-Based Model for Statistical Machine Translation
David Chiang
A High-Performance Semi-Supervised Learning Method for Text Chunking
Rie Kubota Ando and Tong Zhang
A Localized Prediction Model for Statistical Machine Translation
Christoph Tillmann and Tong Zhang
A Nonparametric Method for Extraction of Candidate Phrasal Terms
Paul Deane
A Phonotactic Language Model for Spoken Language Identification
Haizhou LI and Bin MA
A probabilistic framework for the evaluation of text summarization
systems
Enrique Amigo and Julio Gonzalo
A Quantitative Analysis of Lexical Differences Between Genders in
Telephone Conversations
Constantinos Boulis and Mari Ostendorf
A Semantic Approach to Unsupervised IE Pattern Induction
Mark Stevenson and Mark Greenwood
Accurate Unsupervised Learning of Field Structure Models for
Information Extraction
Trond Grenager, Dan Klein, and Christopher D. Manning
Aggregation improves learning: experiments in natural language
generation for intelligent tutoring systems
Barbara Di Eugenio, Davide Fossati, Dan Yu, Susan Haller and Michael
Glass
Alignment Model Adaptation for Domain-Specific Word Alignment
Hua Wu, Haifeng Wang and Zhanyi Liu
Automatic Acquisition of Adjectival Subcategorization from Corpora
Jeremy Yallop, Anna Korhonen and Ted Briscoe
Automatic Measurement of Syntactic Development in Child Language
Kenji Sagae, Alon Lavie, and Brian MacWhinney
Boosting-based parse reranking with subtree features
Taku Kudo, Jun Suzuki and Hideki Isozaki
Clause Restructuring for Statistical Machine Translation
Michael Collins, Philipp Koehn, and Ivona Kucerova
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
Eugene Charniak and Mark Johnson
Combining Various Knowledge in Relation Extraction
Zhou GuoDong
Context-dependent SMT Model using Bilingual Verb-Noun Collocation
Young-Sook Hwang and Yutaka Sasaki
Contrastive Estimation: Training Log-Linear Models on Unlabeled Data
Noah A. Smith and Jason Eisner
Data-Defined Kernels for Parse Reranking Derived from Probabilistic
Models
James Henderson and Ivan Titov
Dependency Treelet Translation: Syntactically Informed Phrasal SMT
Chris Quirk, Arul Menezes, and Colin Cherry
Detecting Errors in Discontinuous Structural Annotation
Markus Dickinson and Detmar Meurers
Digesting Virtual "Geek" Culture: The Summarization of Technical Internet Relay Chats
Liang Zhou and Eduard Hovy
Discriminative Syntactic Language Modeling for Speech Recognition
Michael Collins, Brian Roark, and Murat Saraclar
Domain Kernels for Word Sense Disambiguation
Alfio Gliozzo and Claudio Giuliano and Carlo Strapparava
Empirically-based Control of Natural Language Generation
Daniel Paiva and Roger Evans
Error-Correcting Conditional Random Fields
Trevor Cohn and Andrew Smith and Miles Osborne
Experiments with Interactive Question-Answering
Sanda Harabagiu, Andrew Hickl, and John Lehamnn
Exploring and Exploiting the Limited Utility of Captions in
Recognizing Intention in Information Graphics
Stephanie Elzer, Sandra Carberry, Daniel Chester, Seniz Demir, Nancy
Green, Ingrid Zukerman, and Keith Trnka
Extracting Relations with Integrated Information Using Kernel Methods
Shubin Zhao and Ralph Grishman
Extracting Semantic Orientation of Words using Spin Model
Hiroya Takamura and Takashi Inui and Manabu Okumura
Finding and Fixing Fragment - Using ML to Resolve Non-Sentential Utterances in Multi-Party Dialogue
David Schlangen
High Precision Treebanking -- Blazing Useful Trees Using POS Information
Takaaki Tanaka, Francis Bond, Stephan Oepen and Sanae Fujita
Implications for Generating Clarification Requests in Task-oriented Dialogues
Verena Rieser and Johanna Moore
Improving Name Tagging by Reference Resolution and Relation Detection
Heng Ji, Ralph Grishman
Improving Pronoun Resolution Using Statistics-Based Semantic Compatibility Information
Xiaofeng Yang, Jian Su and Chew Lim Tan
Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
Jenny Rose Finkel, Trond Grenager, and Christopher D. Manning
Inducing Ontological Co-occurrence Vectors
Patrick Pantel
Instance-based Sentence Boundary Determination by Optimization
Shimei Pan and James C. Shaw
Joint Learning Improves Semantic Role Labeling
Kristina Toutanova, Aria Haghighi, and Chris Manning
Learning Semantic Classes for Word Sense Disambiguation
Upali Sathyajith Kohomban and Wee Sun Lee
Learning Stochastic OT Grammars: A Bayesian approach using Data Augmentation and Gibbs Sampling
Ying Lin
Lexicalization in Crosslinguistic Probabilistic Parsing: The Case of French
Abhishek Arun and Frank Keller
Logarithmic Opinion Pools for Conditional Random Fields
Andrew Smith, Trevor Cohn, and Miles Osborne
Log-linear Models for Word Alignment
Yang Liu, Qun Liu, and Shouxun Lin
Machine Learning for Coreference Resolution: From Local Classification to Global Ranking
Vincent Ng
Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars
Yuan Ding and Martha Palmer
Modeling Local Coherence: An Entity-Based Approach
Regina Barzilay and Mirella Lapata
Modelling the similarity and substitutability of discourse connectives
Ben Hutchinson
Multi-Field Information Extraction and Cross-Document Fusion
Gideon Mann and David Yarowsky
Online Large-Margin Training of Dependency Parsers
Ryan McDonald, Koby Crammer and Fernando Pereira
Paraphrasing with Bilingual Parallel Corpora
Chris Callison-Burch and Colin Bannard
Position Specific Posterior Lattices for Indexing Speech
Ciprian Chelba and Alex Acero
Probabilistic CFG with latent annotations
Takuya Matsuzaki and Yusuke Miyao and Jun'ichi Tsujii
Probabilistic disambiguation models for wide-coverage HPSG parsing
Yusuke Miyao and Jun'ichi Tsujii
Pseudo-Projective Dependency Parsing
Joakim Nivre and Jens Nilsson
Question Answering as Question-Biased Term Extraction: A New Approach toward Multilingual QA
Yutaka Sasaki
Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Clustering
Deepak Ravichandran, Patrick Pantel, and Eduard Hovy
Reading Level Assessment Using Support Vector Machines and Statistical Language Models
Sarah E. Schwarm Mari Ostendorf
Resume Information Extraction with Cascaded Hybrid Model
Kun Yu, Gang Guan, and Ming Zhou
Scaling Phrase-Based Statistical Machine Translation to Larger Corpora and Longer Phrases
Chris Callison-Burch, Colin Bannard, and Josh Schroeder
Scaling up from Dialogue to Multilogue: some principles and benchmarks
Jonathan Ginzburg and Raquel Fernandez
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
Bo Pang and Lillian Lee
Semantic Role Labeling Using Different Syntactic Views
Sameer Pradhan, Wayne Ward, Kadri Hacioglu, James H. Martin and Dan Jurafsky
Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE
Ryan McDonald, Fernando Pereira, Seth Kulick, Scott Winters, Yang Jin and Pete White
Stochastic Lexicalized Inversion Transduction Grammar for Alignment
Hao Zhang and Daniel Gildea
Supersense Tagging of Unknown Nouns using Semantic Similarity
James R. Curran
Supervised and Unsupervised Learning for Sentences Compression
Jenine Turner and Eugene Charniak
The Distributional Inclusion Hypotheses and Lexical Entailment
Maayan Geffet and Ido Dagan
The Role of Semantic Roles in Disambiguating Verb Senses
Hoa Trang Dang and Martha Palmer
Tokenization, Morphological Analysis, and Part-of-Speech Tagging for Arabic in One Fell Swoop
Nizar Habash and Owen Rambow
Towards Developing Generation Algorithms for Text-to-Text Applications
Radu Soricut and Daniel Marcu
Using Conditional Random Fields For Sentence Boundary Detection in Speech
Yang Liu, Elizabeth Shriberg, Andreas Stolcke, and Mary Harper
What to do when lexicalization fails: parsing German with suffix analysis and smoothing
Amit Dubey
Word Sense Disambiguation Using Label Propagation Based Semi-Supervised Learning
Zheng-Yu Niu, Dong-Hong Ji, and Chew-Lim Tan
Word Sense Disambiguation vs. Statistical Machine Translation
Marine Carpuat and Dekai Wu