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Hits 1.761 – 1.772 of 1.772
1761
Iterative Translation Disambiguation for Cross-Language Information Retrieval ∗
In: http://www.umiacs.umd.edu/users/bonnie/Publications/sigir05.pdf
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1762
Query Expansion Techniques for the CLEF Bilingual Track
Fatiha Sadat
;
Akira Maeda
;
Masatoshi Yoshokawa
...
In: http://www.ercim.org/publication/ws-proceedings/CLEF2/sadat.pdf
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1763
Toshiba BRIDJE at NTCIR-5 CLIR: Evaluation using Geometric Means
Tetsuya Sakai
;
Toshihiko Manabe
;
Akira Kumano
...
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings5/data/CLIR/NTCIR5-CLIR-SakaiT.pdf
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1764
Japanese-Chinese Information Retrieval With an Iterative Weighting Scheme *
Chu-cheng Lin
;
Yu-chun Wang
;
Richard
...
In: http://www.iis.sinica.edu.tw/page/jise/2010/201003_22.pdf
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1765
Combining Probabilistic and Translation-Based Models for Information Retrieval based on Word Sense Annotations
Elisabeth Wolf
;
Delphine Bernhard
;
Iryna Gurevych
In: http://elara.tk.informatik.tu-darmstadt.de/publications/2009/wolf-paperCLEF2009.pdf
Abstract:
In this paper, we describe our experiments carried out for the robust word sense disambiguation (WSD) track of the CLEF 2009 campaign. This track consists of a monolingual and bilingual task and addresses information retrieval utilizing word sense annotations. We took part in the monolingual task only. Our objective was twofold. On the one hand, we intended to increase the precision of WSD by a heuristic-based combination of the annotations of the two WSD systems. For this, we provide an extrinsic evaluation on different levels of word sense accuracy. On the other hand, we aimed at combining an often used probabilistic model, namely the Divergence From Randomness BM25 model (DFR BM25), with a monolingual translation-based model. Our best performing system with and without utilizing word senses ranked 1st overall in the monolingual task. However, we could not observe any improvement by applying the sense annotations compared to the retrieval settings based on tokens or lemmas only.
Keyword:
Experimentation Keywords Information Retrieval
;
General Terms Measurement
;
Monolingual Translation-based Model
;
Performance
;
Probabilistic Retrieval Model
;
Word Sense Disambiguation
URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.5059
http://elara.tk.informatik.tu-darmstadt.de/publications/2009/wolf-paperCLEF2009.pdf
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1766
General Terms
Dong Zhou
;
Mark Truran
;
Tim Brailsford
In: http://www.clef-campaign.org/2007/working_notes/dong_zhouclef2007.pdf
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1767
sATflk An Integrated Discourse Semantic Model for Bilingual Corpora
Deepak Sharma
;
K Vikram
;
Manav Ratan Mital
...
In: http://www.cs.cornell.edu/~kvikram/papers/icukl2002.ps
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1768
Many tasks in Natural Language Processing – Word
Maciej Piasecki
;
Stanisław Szpakowicz
;
Bartosz Broda
In: http://www.plwordnet.pwr.wroc.pl/main/content/files/publications/ltc07-125-piasecki.pdf
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1769
Measuring Semantic Distance using Distributional Profiles of Concepts
Mohammad, Saif
. - NO_RESTRICTION
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1770
YATS: Yet Another Text Simplifier
Ferrés, Daniel
;
Marimon, Montserrat
;
Saggion, Horacio
. - : Springer
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1771
An adaptable lexical simplification architecture for major ibero-romance languages
Gómez Guinovart, Xavier
;
Ferrés, Daniel
;
Saggion, Horacio
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1772
Universidad Nacional de Educatión a Distancia (UNED), Madrid - Natural Language Processing and Information Retrieval Group
https://sites.google.com/view/nlp-uned/home
Topic:
Bilingualism / Multilingualism
;
Computational linguistics
;
Corpus linguistics
; ...
Language:
English
Source type:
Corpora
;
Institutes
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Software / Tools
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partial free access
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