tailieunhanh - Báo cáo khoa học: "A Taxonomy, Dataset, and Classifier for Automatic Noun Compound Interpretation"

The automatic interpretation of noun-noun compounds is an important subproblem within many natural language processing applications and is an area of increasing interest. The problem is difficult, with disagreement regarding the number and nature of the relations, low inter-annotator agreement, and limited annotated data. In this paper, we present a novel taxonomy of relations that integrates previous relations, the largest publicly-available annotated dataset, and a supervised classification method for automatic noun compound interpretation. lations to noun compounds, and, in the case of supervised classification, a sufficiently large dataset for training. . | A Taxonomy Dataset and Classifier for Automatic Noun Compound Interpretation Stephen Tratz and Eduard Hovy Information Sciences Institute University of Southern California Marina del Rey CA 90292 stratz hovy @ Abstract The automatic interpretation of noun-noun compounds is an important subproblem within many natural language processing applications and is an area of increasing interest. The problem is difficult with disagreement regarding the number and nature of the relations low inter-annotator agreement and limited annotated data. In this paper we present a novel taxonomy of relations that integrates previous relations the largest publicly-available annotated dataset and a supervised classification method for automatic noun compound interpretation. 1 Introduction Noun compounds . maple leaf occur very frequently in text and their interpretation determining the relationships between adjacent nouns as well as the hierarchical dependency structure of the NP in which they occur is an important problem within a wide variety of natural language processing NLP applications including machine translation Baldwin and Tanaka 2004 and question answering Ahn et al. 2005 . The interpretation of noun compounds is a difficult problem for various reasons Sparck Jones 1983 . Among them is the fact that no set of relations proposed to date has been accepted as complete and appropriate for general-purpose text. Regardless automatic noun compound interpretation is the focus of an upcoming SemEval task Butnariu et al. 2009 . Leaving aside the problem of determining the dependency structure among strings of three or more nouns a problem we do not address in this paper automatic noun compound interpretation requires a taxonomy of noun-noun relations an automatic method for accurately assigning the re lations to noun compounds and in the case of supervised classification a sufficiently large dataset for training. Earlier work has often suffered from using taxonomies with .

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• A Taxonomy
• Dataset
• and Classifier
• Automatic Noun Compound Interpretation
• Stephen Tratz and Eduard Hovy
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