Name
Title | ||
|---|---|---|
A unifying similarity measure for automated identification of national implementations of european union directives. |
Abstract | ||
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This paper presents a unifying text similarity measure (USM) for automated identification of national implementations of European Union (EU) directives. The proposed model retrieves the transposed provisions of national law at a fine-grained level for each article of the directive. USM incorporates methods for matching common words, common sequences of words and approximate string matching. It was used for identifying transpositions on a multilingual corpus of four directives and their corresponding national implementing measures (NIMs) in three different languages : English, French and Italian. We further utilized a corpus of four additional directives and their corresponding NIMs in English language for a thorough test of the USM approach. We evaluated the model by comparing our results with a gold standard consisting of official correlation tables (where available) or correspondences manually identified by domain experts. Our results indicate that USM was able to identify transpositions with average F-score values of 0.808, 0.736 and 0.708 for French, Italian and English Directive-NIM pairs respectively in the multilingual corpus. A comparison with state-of-the-art methods for text similarity illustrates that USM achieves a higher F-score and recall across both the corpora. |
Year | Venue | Field |
|---|---|---|
2017 | ICAIL | Data mining,English language,Similarity measure,Computer science,Directive,Implementation,European Union law,Approximate string matching,Legal information retrieval,European union |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
13 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rohan Nanda | 1 | 12 | 3.01 |
| Luigi Di Caro | 2 | 195 | 35.21 |
| Guido Boella | 3 | 1867 | 162.59 |
| Hristo Konstantinov | 4 | 1 | 0.36 |
| Tenyo Tyankov | 5 | 1 | 0.36 |
| Daniel Traykov | 6 | 1 | 0.36 |
| Hristo Hristov | 7 | 1 | 0.36 |
| Francesco Costamagna | 8 | 1 | 0.69 |
| Llio Humphreys | 9 | 73 | 8.76 |
| Livio Robaldo | 10 | 269 | 33.46 |
| Michele Romano | 11 | 1 | 0.36 |