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ACL
2010
13 years 1 months ago
Collocation Extraction beyond the Independence Assumption
In this paper we start to explore two-part collocation extraction association measures that do not estimate expected probabilities on the basis of the independence assumption. We ...
Gerlof Bouma
ACL
2010
13 years 1 months ago
Diversify and Combine: Improving Word Alignment for Machine Translation on Low-Resource Languages
We present a novel method to improve word alignment quality and eventually the translation performance by producing and combining complementary word alignments for low-resource la...
Bing Xiang, Yonggang Deng, Bowen Zhou
ACL
2010
13 years 1 months ago
Balancing User Effort and Translation Error in Interactive Machine Translation via Confidence Measures
This work deals with the application of confidence measures within an interactivepredictive machine translation system in order to reduce human effort. If a small loss in translat...
Jesús González-Rubio, Daniel Ortiz-M...
ACL
2010
13 years 1 months ago
Generating Entailment Rules from FrameNet
Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet is limited, especially for inference between predicates. To hel...
Roni Ben Aharon, Idan Szpektor, Ido Dagan
ACL
2010
13 years 1 months ago
Active Learning-Based Elicitation for Semi-Supervised Word Alignment
Semi-supervised word alignment aims to improve the accuracy of automatic word alignment by incorporating full or partial manual alignments. Motivated by standard active learning q...
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
ACL
2010
13 years 1 months ago
Predicate Argument Structure Analysis Using Transformation Based Learning
Maintaining high annotation consistency in large corpora is crucial for statistical learning; however, such work is hard, especially for tasks containing semantic elements. This p...
Hirotoshi Taira, Sanae Fujita, Masaaki Nagata
ACL
2010
13 years 1 months ago
Learning Better Data Representation Using Inference-Driven Metric Learning
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby...
ACL
2010
13 years 1 months ago
Exemplar-Based Models for Word Meaning in Context
This paper describes ongoing work on distributional models for word meaning in context. We abandon the usual one-vectorper-word paradigm in favor of an exemplar model that activat...
Katrin Erk, Sebastian Padó
ACL
2010
13 years 1 months ago
The Impact of Interpretation Problems on Tutorial Dialogue
Supporting natural language input may improve learning in intelligent tutoring systems. However, interpretation errors are unavoidable and require an effective recovery policy. We...
Myroslava Dzikovska, Johanna D. Moore, Natalie B. ...
ACL
2010
13 years 1 months ago
Jointly Optimizing a Two-Step Conditional Random Field Model for Machine Transliteration and Its Fast Decoding Algorithm
This paper presents a joint optimization method of a two-step conditional random field (CRF) model for machine transliteration and a fast decoding algorithm for the proposed metho...
Dong Yang, Paul R. Dixon, Sadaoki Furui