=Paper=
{{Paper
|id=Vol-1179/CLEF2013wn-CLEFER-DaumkeEt2013
|storemode=property
|title=A Semi-Automatically Enriched Multi-Lingual Terminology in Commercial Products
|pdfUrl=https://ceur-ws.org/Vol-1179/CLEF2013wn-CLEFER-DaumkeEt2013.pdf
|volume=Vol-1179
|dblpUrl=https://dblp.org/rec/conf/clef/DaumkePML13
}}
==A Semi-Automatically Enriched Multi-Lingual Terminology in Commercial Products==
<pdf width="1500px">https://ceur-ws.org/Vol-1179/CLEF2013wn-CLEFER-DaumkeEt2013.pdf</pdf>
<pre>
  A Semi-Automatically Enriched Multi-Lingual Terminology in Commercial
                                Products
                                            1             1               2          2
                               P. Daumke , M. Poprat , D. Milward , I. Lewin


                              1
                               Averbis GmbH, Tennenbacher Straße 11, D-79106 Freiburg
                     2
                      Linguamatics Ltd, 324 Science Park, Milton Road, Cambridge CB4 0WG, U.K.



One way to exploit the CLEF-ER challenge results is to semi-automatically enrich the multi-lingual
terminology provided to the CLEF-ER participants. In the current version, English is the predominant
language (1.8 m synonyms in 531k concepts). Synonyms in other languages are clearly
underrepresented (Spanish: 643k, French: 127k, German: 119k and Dutch: 116k). Two leading text
mining companies, Averbis and Linguamatics, will show how they plan to incorporate the current
version of the terminology in their products and how an enriched and well-balanced terminology will
improve their commercial applications in the future.
                                   1
Averbis offers “Patent Analytics” , an innovative and powerful patent data and analytics software.
Within this platform, large collections of patents can be classified semi-automatically and accessed by
faceted browsing, semantic full-text search as well as navigated based on application-specific
terminologies. However, the software in its current version runs only in mono-lingual mode, which is a
clear disadvantage when dealing with patents written in various languages. Averbis will tackle this
problem by implementing the CLEF-ER multi-lingual terminology. In a first step, patents from the multi-
                2
lingual MAREC corpus will be annotated with terms from the terminology. Given the mapping from the
                                            3
terms to UMLS semantic types and groups such as “Anatomy”, “Chemicals & Drugs”, “Disorders” etc.,
we can use this information to build facets. Furthermore, the identifiers of annotated terms will be used
                                                                  4
as features for the classification of documents according to IPC across languages. Given a model that is
purely trained on term IDs from annotated English documents for instance, it can also be applied to
classify all non-English documents.
Linguamatics will demonstrate the added value of an enriched multi-lingual terminology within their
                          5
text-mining product, I2E . I2E supports highly scalable real-time document search and fact extraction,
using natural language processing as a core underpinning technology, together with plug-in domain
knowledge and terminology facilities. Real-time queries allow a generate-and-test development
strategy. For example, an initial query based simply on word occurrence will often deliver noisy results
but, given a fast enough test cycle, the query can be refined in a number of ways beyond “add more
words”. Queries can be restricted to parts of the known document structure, or by linguistic structures
(e.g. to types of phase), or by confidence thresholding. We will present some of the challenges and
some of the solutions to interactive search using a plug-in multi-lingual terminology and multi-lingual
documents.




  1
    http://www.averbis.de/en/products/patent_analytics
  2
    http://www.ir-facility.org/prototypes/marec
  3
    http://semanticnetwork.nlm.nih.gov/SemGroups/
  4
    http://www.wipo.int/classifications/ipc
  5
    http://www.linguamatics.com/welcome/software/i2e

</pre>