Sciweavers

ACL
2007
13 years 5 months ago
Minimum Bayes Risk Decoding for BLEU
We present a Minimum Bayes Risk (MBR) decoder for statistical machine translation. The approach aims to minimize the expected loss of translation errors with regard to the BLEU sc...
Nicola Ehling, Richard Zens, Hermann Ney
ACL
2008
13 years 5 months ago
Unsupervised Multilingual Learning for Morphological Segmentation
For centuries, the deep connection between languages has brought about major discoveries about human communication. In this paper we investigate how this powerful source of inform...
Benjamin Snyder, Regina Barzilay
ACL
2007
13 years 5 months ago
Pipeline Iteration
This paper presents pipeline iteration, an approach that uses output from later stages of a pipeline to constrain earlier stages of the same pipeline. We demonstrate significant ...
Kristy Hollingshead, Brian Roark
ACL
2008
13 years 5 months ago
Generalizing Word Lattice Translation
Word lattice decoding has proven useful in spoken language translation; we argue that it provides a compelling model for translation of text genres, as well. We show that prior wo...
Christopher Dyer, Smaranda Muresan, Philip Resnik
ACL
2007
13 years 5 months ago
A Unified Tagging Approach to Text Normalization
This paper addresses the issue of text normalization, an important yet often overlooked problem in natural language processing. By text normalization, we mean converting ‘inform...
Conghui Zhu, Jie Tang, Hang Li, Hwee Tou Ng, Tieju...
ACL
2008
13 years 5 months ago
Gestural Cohesion for Topic Segmentation
This paper explores the relationship between discourse structure and coverbal gesture. Using the idea of gestural cohesion, we show that coherent topic segments are characterized ...
Jacob Eisenstein, Regina Barzilay, Randall Davis
ACL
2007
13 years 5 months ago
Instance-based Evaluation of Entailment Rule Acquisition
Obtaining large volumes of inference knowledge, such as entailment rules, has become a major factor in achieving robust semantic processing. While there has been substantial resea...
Idan Szpektor, Eyal Shnarch, Ido Dagan
ACL
2008
13 years 5 months ago
Unsupervised Discovery of Generic Relationships Using Pattern Clusters and its Evaluation by Automatically Generated SAT Analogy
We present a novel framework for the discovery and representation of general semantic relationships that hold between lexical items. We propose that each such relationship can be ...
Dmitry Davidov, Ari Rappoport
ACL
2007
13 years 5 months ago
A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity
A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...
Feiyu Xu, Hans Uszkoreit, Hong Li
ACL
2008
13 years 5 months ago
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
Gideon S. Mann, Andrew McCallum