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Automatic extraction of property norm-like data from large text corpora
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In: http://www.cl.cam.ac.uk/%7Ealk23/cog-sci-2014.pdf (2013)
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Unsupervised sentiment analysis with emotional signals
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In: http://www.public.asu.edu/~xiahu/papers/www13.pdf (2013)
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CroNER: Recognizing Named Entities in Croatian Using Conditional Random Fields
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In: http://www.informatica.si/PDF/37-2/11_Karan - CroNER Recognizing Named Entities in Croatian Using Conditional Random Fields.pdf (2013)
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Speech-Centric Information Processing: An Optimization-Oriented Approach
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In: http://research.microsoft.com/pubs/179540/ProcIEEE_He_deng_finalsub.pdf (2012)
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R.: WiSeNet: Building a Wikipedia-based semantic network with ontologized relations
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In: http://wwwusers.di.uniroma1.it/~navigli/pubs/CIKM_2012_Moro_Navigli.pdf (2012)
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Recognizing Temporal Information in Korean Clinical Narratives through Text Normalization
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In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/9c/37/Healthc_Inform_Res_2011_Sep_30_17(3)_150-155.tar.gz (2011)
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| 7 |
Ukp at crosslink: Anchor text translation for cross-lingual link discovery
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/NTCIR/07-NTCIR9-CROSSLINK-KimJ.pdf (2011)
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Improved video categorization from text metadata and user comments
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In: http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/pubs/archive/37092.pdf (2011)
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| 9 |
Folks in folksonomies: social link prediction from shared metadata
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In: http://hal.archives-ouvertes.fr/docs/00/42/98/86/PDF/wsdm141-schifanella.pdf (2010)
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| 10 |
An Information-extraction system for Urdu—a resource-poor language
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In: http://www.cedar.buffalo.edu/~rohini/Papers/ACM-TALIP.pdf (2010)
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| 11 |
Small-vocabulary speech recognition for resource-scarce languages
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In: http://www.cs.cmu.edu/~roni/papers/sigdev2010-final7.pdf (2010)
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| 12 |
The Effect of Different Context Representations on Word Sense Discrimination in Biomedical Texts
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In: http://www.d.umn.edu/~tpederse/Pubs/acm-ihi-2010-pedersen.pdf (2010)
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| 13 |
Transliteration for resource-scarce languages
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In: http://www.cse.iitb.ac.in/~damani/papers/TALIP10/transliterationTALIP10.pdf (2010)
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| 14 |
Visual Sentiment Analysis of Text Document Streams · 27
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In: http://bib.dbvis.de/uploadedFiles/authors_version.pdf (2010)
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| 15 |
Towards natural question guided search
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In: http://www.mathcs.emory.edu/~kotov/papers/kotov-www10.pdf (2010)
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Abstract:
Web search is generally motivated by an information need. Since asking well-formulated questions is the fastest and the most natural way to obtain information for human beings, almost all the queries posed to search engines correspond to some underlying questions, which represent the information need. Accurate determination of these questions may substantially improve the quality of search results and usability of search interfaces. In this paper, we propose a new framework for question-guided search, in which a retrieval system would automatically generate potentially interesting questions to the users. Since the answers to such questions are known to exist in search results, these questions can potentially guide the users directly to the answers they are looking for, eliminating the need to scan the documents in the results list. Moreover, in case of imprecise or ambiguous queries, automaticallygenerated questions can naturally engage the users into feedback cycles to refine their information need and guide them towards their search goals. Implementation of the proposed strategy raises new challenges in content indexing, question generation, ranking and feedback. We proposed new methods to address these challenges and evaluated them with a prototype system on a subset of Wikipedia. The evaluation results show the promise of this new question-guided search strategy. Categories andSubjectDescriptors
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Keyword:
Experimentation Keywords Interactive search; H.3.1 [Content Analysis and Indexing; H.3.3 [Information Search and Retrieval; Linguistic Processing; Relevance feedback; Search process GeneralTerms Algorithms
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.35
http://www.mathcs.emory.edu/~kotov/papers/kotov-www10.pdf
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| 16 |
G.: Textractor: A Framework for Extracting Relevant Domain Concepts from Irregular Corporate Textual Datasets
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In: http://odur.let.rug.nl/gosse/papers/textractor.pdf (2010)
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| 17 |
Lexical Ambiguity in Cross-Language Image Retrieval: a Preliminary Analysis. CLEF 2009 worskhop notes
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In: http://clef.isti.cnr.it/2009/working_notes/bnavarro-paperCLEF09.pdf (2009)
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| 18 |
Using semantic relatedness and word sense disambiguation for (cl)ir
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In: http://clef.isti.cnr.it/2009/working_notes/agirre-robust-paperCLEF2009.pdf (2009)
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| 19 |
IXIR: A Statistical Information Distillation System
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In: http://www.icsi.berkeley.edu/~levit/papers/CSL09_IXIR.pdf (2009)
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| 20 |
Near Real Time Information Mining in Multilingual News
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In: http://www2009.org/proceedings/pdf/p1153.pdf (2009)
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