Multi-lingual neural title generation for e-Commerce browse pages

Autor: Mathur, Prashant, Ueffing, Nicola, Leusch, Gregor

To provide better access of the inventory to buyers and better search engine optimization, e-Commerce websites are automatically generating millions of easily searchable browse pages. A browse page consists of a set of slot name/value pairs within a

Externí odkaz: http://arxiv.org/abs/1804.01041

Word confidence measures for machine translation

Autor: Ueffing, Nicola

Aachen, Techn. Hochsch., Diss., 2006

Externí odkaz: http://nbn-resolving.de/urn:nbn:de:hbz:82-opus-14762
http://deposit.ddb.de/cgi-bin/dokserv?idn=97967669X
http://darwin.bth.rwth-aachen.de/opus/volltexte/2006/1476/index.html
http://darwin.bth.rwth-aachen.de/opus/volltexte/2006/1476/pdf/UeffingN̲icola.pdf

Structured Extraction of Terms and Conditions from German and English Online Shops

Autor: Schamel, Tobias, Braun, Daniel, Matthes, Florian, Malmasi, Shervin, Rokhlenko, Oleg, Ueffing, Nicola, Guy, Ido, Agichtein, Eugene, Kallumadi, Surya

Publikováno v: Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5), 181-190
STARTPAGE=181;ENDPAGE=190;TITLE=Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5)

The automated analysis of Terms and Conditions has gained attention in recent years, mainly due to its relevance to consumer protection. Well-structured data sets are the base for every analysis. While content extraction, in general, is a well-resear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::ec7be06d083be99c02c85f5f883d8946
https://research.utwente.nl/en/publications/bd9e2526-2df3-4e41-a3f2-86eb9fc72f0f

Semi-Supervised Model Adaptation for Statistical Machine Translation

Autor: Ueffing, Nicola, Haffari, Gholamreza, Sarkar, Anoop

Publikováno v: Machine Translation, 2007 Jun 01. 21(2), 77-94.

Externí odkaz: https://www.jstor.org/stable/30219547

Serial System Combination for Intergrating Rule-Based and Statistical Machine Translation

Autor: Kuhn, Roland, Senellart, Jean, Ma, Jeff, Rosti, Antti-Veikko, Zbib, Rabih, Chalabi, Achraf, Dugast, Loic, Foster, George, Makhoul, John, Matsoukas, Spyros, Matusov, Evgeny, Nader, Hazerm, Safadi, Rami, Schwartz, Richard, Stephan, Jens, Ueffing, Nicola, Yang, Jin

With the recent remarkable success of statistical machine translation (SMT) systems, the question arises: how can the linguistic knowledge locked up in older, rule-based machine translation (RBMT) systems most conveniently be incorporated in these sy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1674::92a5b8395251c8fb541467c25e7efc48
https://nrc-publications.canada.ca/eng/view/object/?id=f8909b42-16c9-4a51-81b5-1683c6255a26