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Hits 7.381 – 7.400 of 7.453

7381
Deep Learning with Constraints for Answer-Agnostic Question Generation in Legal Text Understanding
Lamba, Deepti. - August
BASE
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7382
Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.
BASE
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7383
Detecting gross alignment errors in the Spoken British National Corpus
Abstract: The paper presents methods for evaluating the accuracy of alignments between transcriptions and audio recordings. The methods have been applied to the Spoken British National Corpus, which is an extensive and varied corpus of natural unscripted speech. Early results show good agreement with human ratings of alignment accuracy. The methods also provide an indication of the location of likely alignment problems; this should allow efficient manual examination of large corpora. Automatic checking of such alignments is crucial when analysing any very large corpus, since even the best current speech alignment systems will occasionally make serious errors. The methods described here use a hybrid approach based on statistics of the speech signal itself, statistics of the labels being evaluated, and statistics linking the two. ; Citation: Baghai-Ravary, L., Grau, S. & Kochanski, G. (2011). Detecting gross alignment errors in the Spoken British National Corpus. Presented at: New Tools and Methods for Very-Large-Scale Phonetics Research, University of Pennsylvania, January 28-31, 2011.
Keyword: ASR; detector; duration; hidden Markov model; HMM; HTK; linear regression; Linguistics; Natural Language Processing; Phonetics; probability; signal processing; speech recognition
URL: http://kochanski.org/gpk/papers/2010/LargeCorpora/
http://www.ling.upenn.edu/phonetics/workshop/program.html
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7384
An information extraction tool for microbial characters
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7385
Measuring Semantic Distance using Distributional Profiles of Concepts
Mohammad, Saif. - NO_RESTRICTION
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7386
Exploiting Linguistic Knowledge to Infer Properties of Neologisms
Cook, C. Paul. - NO_RESTRICTION
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7387
Exploring neural paraphrasing to improve fluency of rule-based generation
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7388
Distributed prediction of relations for entities: the Easy, the Difficult, and the impossible
Boleda, Gemma; Gupta, Abhijeet; Padó, Sebastian. - : ACL (Association for Computational Linguistics)
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7389
Twitter as a lifeline: human-annotated Twitter corpora for NLP of crisis-related messages
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7390
Task-based Evaluation of the PANACEA Production Chain
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7391
Documentation of Naive Bayes classifier Web Service
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7392
First version (v1) of the integrated platform/nand documentation
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7393
Criteria for evaluation of resources, technology and integration
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7394
Documentation of P clue/ lexical class from Weka computer Web Service
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7395
PANACEA: The Platform
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7396
Third evaluation report. Evaluation of PANACEA v3 and produced resources
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7397
Final Report on the Corpus Acquisition & Annotation subsystem and its components
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7398
Architecture and design of the platform
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7399
Analysis of Industrial User Requirements
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7400
Integrated Final Version of the Components for Lexical Acquisition
BASE
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