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C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval ...
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Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models ...
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3
The Multilingual TEDx Corpus for Speech Recognition and Translation ...
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4
An Information Retrieval Test Collection for English SMS Conversations
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5
Microblogging Temporal Summarization: Filtering Important Twitter Updates for Breaking News
Xu, Tan. - 2015
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6
Frontiers, Challenges, and Opportunities for Information Retrieval – Report from SWIRL 2012, The Second Strategic Workshop on Information Retrieval in Lorne
Kelly, Diane; Clarke, Charles L.A.; Moffat, Alistair. - : KTH, Teoretisk datalogi, TCS, 2012. : ACM, 2012
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7
Formative Evaluation for Multilingual Multimedia Search and Sense-Making
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8
The enduring spoken word : [comment on D. W. Oard: "Unlocking the potential of the spoken word", 26 September 2008, p.1787]
In: Science. - Washington, DC : AAAS, American Assoc. for the Advancement of Science 323 (2009) 5917, 1010-1011
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9
Advances in Multilingual and Multimodal Information Retrieval : 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers
Jijkoun, Valentin; Mandl, Thomas; Müller, Henning. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2008
UB Frankfurt Linguistik
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10
Unlocking the potential of the spoken word : advances in speech processing may soon place speech and writing on a more equal footing, with broad implications for many aspects of society
In: Science. - Washington, DC : AAAS, American Assoc. for the Advancement of Science 321 (2008) 5897, 1787-1788
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11
Combining Evidence from Unconstrained Spoken Term Frequency Estimation for Improved Speech Retrieval
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12
Classifying Attitude by Topic Aspect for English and Chinese Document Collections
Wu, Yejun. - 2008
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13
Overview of the CLEF-2006 cross-language speech retrieval track
In: Oard, Douglas W., Wang, Jianqiang, Jones, Gareth J.F. orcid:0000-0003-2923-8365 , White, Ryen W., Pecina, Pavel, Soergel, Dagobert, Huang, Xiaoli and Shafran, Izhak (2007) Overview of the CLEF-2006 cross-language speech retrieval track. In: CLEF 2006: Workshop on Cross-Language Information Retrieval and Evaluation, 20-22 Sept. 2006, Alicante, Spain. (2007)
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14
Investigating cross-language speech retrieval for a spontaneous conversational speech collection
In: Inkpen, Diana, Alzghool, Muath, Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Oard, Douglas W. (2006) Investigating cross-language speech retrieval for a spontaneous conversational speech collection. In: HLT-NAACL 2006 - The Human Language Technology Conference - North American Chapter of the Association for Computational Linguistics Annual Meeting, 8-9 June 2006, New York, USA. (2006)
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15
The Effect of Bilingual Term List Size on Dictionary-Based Cross-Language Information Retrieval
In: DTIC (2006)
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16
TREC-9 Experiments at Maryland: Interactive CLIR
In: DTIC (2006)
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17
COMPLEX QUESTION ANSWERING BASED ON A SEMANTIC DOMAIN MODEL OF CLINICAL MEDICINE
Abstract: Much research in recent years has focused on question answering. Due to significant advances in answering simple fact-seeking questions, research is moving towards resolving complex questions. An approach adopted by many researchers is to decompose a complex question into a series of fact-seeking questions and reuse techniques developed for answering simple questions. This thesis presents an alternative novel approach to domain-specific complex question answering based on consistently applying a semantic domain model to question and document understanding as well as to answer extraction and generation. This study uses a semantic domain model of clinical medicine to encode (a) a clinician's information need expressed as a question on the one hand and (b) the meaning of scientific publications on the other to yield a common representation. It is hypothesized that this approach will work well for (1) finding documents that contain answers to clinical questions and (2) extracting these answers from the documents. The domain of clinical question answering was selected primarily because of its unparalleled resources that permit providing a proof by construction for this hypothesis. In addition, a working prototype of a clinical question answering system will support research in informed clinical decision making. The proposed methodology is based on the semantic domain model developed within the paradigm of Evidence Based Medicine. Three basic components of this model - the clinical task, a framework for capturing a synopsis of a clinical scenario that generated the question, and strength of evidence presented in an answer - are identified and discussed in detail. Algorithms and methods were developed that combine knowledge-based and statistical techniques to extract the basic components of the domain model from abstracts of biomedical articles. These algorithms serve as a foundation for the prototype end-to-end clinical question answering system that was built and evaluated to test the hypotheses. Evaluation of the system on test collections developed in the course of this work and based on real life clinical questions demonstrates feasibility of complex question answering and high accuracy information retrieval using a semantic domain model.
Keyword: Computer Science
URL: http://hdl.handle.net/1903/4098
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18
Comparing User-Assisted and Automatic Query Translation
In: DTIC AND NTIS (2005)
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19
Spontaneous speech processing
Furui, Sadaoki (Hrsg.); Beckman, Mary E. (Hrsg.); Hirschberg, Julia (Hrsg.)...
In: Institute of Electrical and Electronics Engineers. IEEE transactions on speech and audio processing. - New York, NY : Inst. 12 (2004) 4, 349-445
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20
Interactive cross-language document selection
In: Information Retrieval Journal. - Dordrecht [u.a.] : Springer Science + Business Media B.V. 7 (2004) 1-2, 205-228
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