Sciweavers

NAACL
2010
13 years 2 months ago
Predicting Human-Targeted Translation Edit Rate via Untrained Human Annotators
In the field of machine translation, automatic metrics have proven quite valuable in system development for tracking progress and measuring the impact of incremental changes. Howe...
Omar Zaidan, Chris Callison-Burch
LREC
2008
183views Education» more  LREC 2008»
13 years 6 months ago
Active Annotation in the LUNA Italian Corpus of Spontaneous Dialogues
In this paper we present an active approach to annotate with lexical and semantic labels an Italian corpus of conversational human-human and Wizard-of-Oz dialogues. This procedure...
Christian Raymond, Kepa Joseba Rodriguez, Giuseppe...
EMNLP
2008
13 years 6 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
CICLING
2007
Springer
13 years 8 months ago
Rule-Based Protein Term Identification with Help from Automatic Species Tagging
In biomedical articles, terms often refer to different protein entities. For example, an arbitrary occurrence of term p53 might denote thousands of proteins across a number of spec...
Xinglong Wang
NLPRS
2001
Springer
13 years 9 months ago
Automatic Sense Tagging Using Parallel Corpora
This article reports the results of an analysis of translation equivalents in six languages from different language families, extracted from an on-line parallel corpus of George O...
Nancy Ide, Tomaz Erjavec, Dan Tufis