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41
Folks in folksonomies: social link prediction from shared metadata
In: http://hal.archives-ouvertes.fr/docs/00/42/98/86/PDF/wsdm141-schifanella.pdf (2010)
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42
Estimation of Statistical Translation Models Based on Mutual Information for Ad Hoc Information Retrieval
In: http://sifaka.cs.uiuc.edu/czhai/pub/sigir10-tm.pdf (2010)
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43
Transliteration for resource-scarce languages
In: http://www.cse.iitb.ac.in/~damani/papers/TALIP10/transliterationTALIP10.pdf (2010)
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44
Compositional Semantic Vector Models with a Simplified Quantum Logic
In: https://hal-lirmm.ccsd.cnrs.fr/lirmm-00479633 ; RR-10014, 2010, pp.0010026 (2010)
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45
Visual Sentiment Analysis of Text Document Streams · 27
In: http://bib.dbvis.de/uploadedFiles/authors_version.pdf (2010)
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46
Cross-language retrieval using link-based language models
In: http://www.lsv.uni-saarland.de/sigir2010-link-lm-clir.pdf (2010)
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47
Désambiguisation de sens par modèles de contextes et son application à la Recherche d’Information
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48
Decreased semantic competitive inhibition in Parkinson's disease: Evidence from an investigation of word search performance
Arnott, Wendy L.; Chenery, Helen J.; Angwin, Anthony J.. - : Informa Healthcare, 2010
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49
Learning to rank for quantity consensus queries
In: http://www.cc.gatech.edu/~zha/CSE8801/learning-to-rank/p243-banerjee.pdf (2009)
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50
Multiple retrieval models and regression models for prior art search
In: http://clef.isti.cnr.it/2009/working_notes/lopez-paperCLEF2009.pdf (2009)
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51
Multiple retrieval models and regression models for prior art search
In: http://hal.archives-ouvertes.fr/docs/00/41/18/35/PDF/technote.pdf (2009)
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52
Word Topic Models for Spoken Document Retrieval and Transcription
In: http://berlin.csie.ntnu.edu.tw/Berlin_Research/Manuscripts/2009/2009-ACM-TALIP-Word Topic Models for Spoken Document Retrieval and Transcription.pdf (2009)
Abstract: Statistical language modeling (LM), which aims to capture the regularities in human natural language and quantify the acceptability of a given word sequence, has long been an interesting yet challenging research topic in the speech and language processing community. It also has been introduced to information retrieval (IR) problems, and provided an effective and theoretically attractive probabilistic framework for building IR systems. In this article, we propose a word topic model (WTM) to explore the co-occurrence relationship between words, as well as the long-span latent topical information, for language modeling in spoken document retrieval and transcription. The document or the search history as a whole is modeled as a composite WTM model for generating a newly observed word. The underlying characteristics and different kinds of model structures are extensively investigated, while the performance of WTM is thoroughly analyzed and verified by comparison with the well-known probabilistic latent semantic analysis (PLSA) model as well as the other models. The IR experiments are performed on the TDT Chinese collections (TDT-2 and TDT-3), while the large vocabulary continuous speech recognition (LVCSR) experiments are conducted on the Mandarin broadcast news collected in Taiwan. Experimental results seem to
Keyword: adaptation; Algorithms; Categories and Subject Descriptors; H.3.3 [Information Storage and Retrieval; I.2.7 [Artificial Intelligence; information retrieval; Information Search and Retrieval—Retrieval models; Language model; Natural Language Processing— Speech recognition and synthesis General Terms; Natural Language Processing—Language models; Performance; speech recognition; Theory Additional Key Words and Phrases; word topic model
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.314.5811
http://berlin.csie.ntnu.edu.tw/Berlin_Research/Manuscripts/2009/2009-ACM-TALIP-Word Topic Models for Spoken Document Retrieval and Transcription.pdf
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53
An architecture to support intelligent user interfaces for Wikis by means
In: http://www.wikisym.org/ws2009/procfiles/p112-hoffart.pdf (2009)
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54
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
In: DTIC (2009)
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55
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
In: DTIC (2009)
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56
BIT at TREC 2009 Faceted Blog Distillation Task
In: DTIC (2009)
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57
POSTECH at TREC 2009 Blog Track: Top Stories Identification
In: DTIC (2009)
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58
Entity Retrieval by Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers
In: DTIC (2009)
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59
Topic Detection in Online Chat
In: DTIC (2009)
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60
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
In: DTIC (2009)
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