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1
BrainPredict: a Tool for Predicting and Visualising Local Brain Activity
In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-03016059 ; Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pp.11 - 16, 2020 ; https://www.aclweb.org/anthology/2020.lrec-1.84/ (2020)
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2
'Retrodiction' experiment Western Kho-Bwa languages: data ...
Bodt, Timotheus Adrianus. - : Zenodo, 2019
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3
'Retrodiction' experiment Western Kho-Bwa languages: data ...
Bodt, Timotheus Adrianus. - : Zenodo, 2019
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4
Visual context for verb sense disambiguation and multilingual representation learning
Gella, Spandana. - : The University of Edinburgh, 2019
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5
Extracting Predictive Statements with Their Scope from News Articles
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 12 No. 1 (2018): Twelfth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2018)
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6
Syntactic predictions and asyntactic comprehension in aphasia: Evidence from scope relations
In: Journal of Neurolinguistics , 40 pp. 15-36. (2016) (2016)
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7
On the notion of salience in spoken discourse - prominence cues shaping discourse structure and comprehension
In: ISSN: 2264-7082 ; Travaux Interdisciplinaires sur la Parole et le Langage ; https://hal.archives-ouvertes.fr/hal-01486085 ; Travaux Interdisciplinaires sur la Parole et le Langage, Laboratoire Parole et Langage, 2014, non paginé (2014)
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8
BTQARAD141100_025 ; 201411_STE-029
EPK; ETP (secondary storyteller); Alice Rudge. - : Nicole Kruspe, 2014. : RWAAI, 2014
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9
SPCR2 High Risk Suicidal Behavior in Veterans-Assessment of Predictors and Efficacy of Dialectical Behavioral Therapy
In: DTIC (2014)
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10
Building on Deep Learning
In: DTIC (2013)
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11
What's Wrong With Automatic Speech Recognition (ASR) and How Can We Fix It?
In: DTIC (2013)
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12
Predicting Proficiency without Direct Assessment: Can Speaking Ratings be Inferred from Non-participatory Listening and Reading Ratings?
In: DTIC (2013)
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13
Analysis of Stopping Active Learning based on Stabilizing Predictions
Bloodgood, Michael; Grothendieck, John. - : Association for Computational Linguistics, 2013
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14
The effect of low-pass filtering on identification of nonsense syllables in quiet by school-age children with and without cochlear dead regions
Malicka, Alicja N.; Munro, Kevin J.; Baer, Thomas. - : Lippincott Williams & Wilkins, 2013
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15
A Scalable Distributed Syntactic, Semantic, and Lexical Language Model
In: DTIC (2012)
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16
Child Adjustment to Parental Combat Deployment: Risk and Resilience Models
In: DTIC (2012)
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17
Preventing Intelligence Failures in an Unpredictable 21st Century
In: DTIC (2012)
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18
Evaluating DLAB as a Predictor of Foreign Language Learning
In: DTIC (2012)
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19
Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter
In: DTIC (2012)
Abstract: Microblogging websites such as Twitter offer a wealth of insight into a population's current mood. Automated approaches to identifying general sentiment toward a particular topic often perform two steps: Topic Identification and Sentiment Analysis. Topic Identification identifies tweets that are relevant to a desired topic (e.g., a politician or event), and Sentiment Analysis extracts each tweet's attitude toward the topic. Many techniques for Topic Identification simply involve selecting tweets using a keyword search. Here we present an approach that uses distant supervision to train a classifier on the tweets returned by the search. We show that distant supervision leads to improved performance in the Topic Identification task as well as in the downstream Sentiment Analysis task. We then use a system that incorporates distant supervision into both stages to analyze sentiments toward President Obama as expressed in a dataset of tweets. That is, we apply our approach to the problem of predicting Presidential Job Approval polls from Twitter data. Our results show better correlation with Gallup's Presidential Job Approval polls than previous work. We also present a novel baseline that performs remarkably well without using Topic Identification. ; Presented at the 13th Conference of the European Chapter of the Association for Computational Linguistics held in Avignon, France, on April 23-27, 2012 (p603-612).
Keyword: *ATTITUDES(PSYCHOLOGY); *CLASSIFICATION; *DISTANT SUPERVISION; *FORECASTING; *IDENTIFICATION; *LEARNING MACHINES; *MICROBLOGS; *ONLINE COMMUNITIES; *POLITICAL FORECASTING; *SENTIMENT ANALYSIS; *TOPIC IDENTIFICATION; *TRAINING; *TWITTER; COMPUTATIONAL LINGUISTICS; Computer Systems; Cybernetics; EMOTICONS; EMOTIONS; INTERNET; KEYWORD SELECTION; Linguistics; MACHINE LEARNING; OPINION ANALYSIS; POLARITY; POLITICAL MOOD; POLITICAL SENTIMENT; POLITICAL TWEETS; PREDICTIONS; Psychology; PUBLIC OPINION; SENTIMENT CLASSIFICATION; SOCIAL MEDIA; SOCIAL NETWORKS; SYMPOSIA; TEXT PROCESSING; WORDS(LANGUAGE)
URL: http://www.dtic.mil/docs/citations/ADA589957
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA589957
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20
Trainee Characteristics and Achievement during Special Operations Forces Initial Acquisition Foreign Language Training
In: DTIC (2012)
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