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EMNLP
2008
13 years 6 months ago
It's a Contradiction - no, it's not: A Case Study using Functional Relations
Contradiction Detection (CD) in text is a difficult NLP task. We investigate CD over functions (e.g., BornIn(Person)=Place), and present a domain-independent algorithm that automa...
Alan Ritter, Stephen Soderland, Doug Downey, Oren ...
EMNLP
2008
13 years 6 months ago
Automatic Set Expansion for List Question Answering
This paper explores the use of set expansion (SE) to improve question answering (QA) when the expected answer is a list of entities belonging to a certain class. Given a small set...
Richard C. Wang, Nico Schlaefer, William W. Cohen,...
EMNLP
2008
13 years 6 months ago
Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation
Syntactic word reordering is essential for translations across different grammar structures between syntactically distant languagepairs. In this paper, we propose to embed local a...
Bing Zhao, Yaser Al-Onaizan
EMNLP
2008
13 years 6 months ago
A Graph-theoretic Model of Lexical Syntactic Acquisition
This paper presents a graph-theoretic model of the acquisition of lexical syntactic representations. The representations the model learns are non-categorical or graded. We propose...
Hinrich Schütze, Michael Walsh
EMNLP
2008
13 years 6 months ago
Online Methods for Multi-Domain Learning and Adaptation
NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...
Mark Dredze, Koby Crammer
EMNLP
2008
13 years 6 months ago
Integrating Multi-level Linguistic Knowledge with a Unified Framework for Mandarin Speech Recognition
To improve the Mandarin large vocabulary continuous speech recognition (LVCSR), a unified framework based approach is introduced to exploit multi-level linguistic knowledge. In th...
Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong W...
EMNLP
2008
13 years 6 months ago
Online Large-Margin Training of Syntactic and Structural Translation Features
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
David Chiang, Yuval Marton, Philip Resnik
EMNLP
2008
13 years 6 months ago
Attacking Decipherment Problems Optimally with Low-Order N-gram Models
We introduce a method for solving substitution ciphers using low-order letter n-gram models. This method enforces global constraints using integer programming, and it guarantees t...
Sujith Ravi, Kevin Knight
EMNLP
2008
13 years 6 months ago
Forest-based Translation Rule Extraction
Translation rule extraction is a fundamental problem in machine translation, especially for linguistically syntax-based systems that need parse trees from either or both sides of ...
Haitao Mi, Liang Huang