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1
The Mystery of Early Taxonomic Development
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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The Mystery of Early Taxonomic Development ...
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The Mystery of Early Taxonomic Development ...
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An associative account of the development of word learning
Sloutsky, Vladimir M.; Yim, Hyungwook; Yao, Xin. - : Academic Press, 2017
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5
Models of semantic memory
In: The Oxford handbook of computational and mathematical psychology (Oxford, 2015), p. 232-254
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6
Associative recognition and the list strength paradigm
In: Memory & cognition. - Heidelberg [u.a.] : Springer 42 (2014) 4, 583-594
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Stimulus type and the list strength paradigm
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Associative recognition and the list strength paradigm
Osth, Adam F.; Dennis, Simon. - : Springer, 2014
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Erratum to: The role of stimulus type in list length effects in recognition memory
In: Memory & cognition. - Heidelberg [u.a.] : Springer 41 (2013) 3, 480
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10
The role of stimulus type in list length effects in recognition memory
In: Memory & cognition. - Heidelberg [u.a.] : Springer 40 (2012) 3, 311-325
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11
Adding a Capability to Extract Sentiment from Text Using HanDles
In: DTIC (2012)
Abstract: HanDles is a document visualization tool developed by Ohio State University for DRDC Toronto. One aspect of documents that might be of interest to analysts is the extent to which they express positive or negative opinion or sentiment toward some issue or group. In this report, we describe how HanDles was extended to include the ability to classify documents as containing predominantly positive or negative sentiment. The capability was added to the tool so that it could be used in Influence Operations contexts. As a test case, we trained HanDles to distinguish good and poor film reviews, and then tested it three times to see how well it classified documents. The first test was conducted on reviews of the Amazon Kindle. The second test was run on text segments of the original training set of movie reviews, and finally, it was tested on a set of movie reviews that it had not seen before. In general, HanDles did a poor job detecting the sentiment associated with the reviews of the Amazon Kindle. We attribute the poor performance to the fact that movie and product reviews discuss different issues, and as such, there is limited similarity in the two classes of document. Not surprisingly, HanDles did a good job classifying text segments of the original training set. Also, the finding demonstrated that, unlike many other sentiment analysis tools that only classify text at the whole-document level, HanDles can be used effectively to extract the issues being discussed within documents, and assign sentiment to those. For example, a review of a film might be classified as negative overall, but HanDles can determine that the acting was good, but the directing was poor. Finally, when we tested HanDles on a new set of movie reviews it had not seen before, it performed with 93.3% accuracy. The results of our trial suggest that there must be some similarity between the documents used during training and those used in the operational context for HanDles to work properly. ; Text in English; abstract and executive summary in English and French. Contract No. W7711-088147/001/TOR.
Keyword: *ATTITUDES(PSYCHOLOGY); *CLASSIFICATION; *DATA MINING; *DOCUMENT VISUALIZATION; *DOCUMENTS; *EXTRACTION; *HANDLES VISUALIZATION TOOL; *INFORMATION RETRIEVAL; *OPINION MINING; *SEMANTICS; *SENTIMENT ANALYSIS; AMAZON KINDLE REVIEW CLASSIFICATION; ARTIFICIAL INTELLIGENCE; AUGMENTATION; AUTOMATION; CANADA; Cybernetics; FILM REVIEW CLASSIFICATION; FOREIGN REPORTS; INFLUENCE OPERATIONS; INFORMATION PROCESSING; Information Science; INTERNET MOVIE DATABASE; LANGUAGE PROCESSING; LEARNING MACHINES; Linguistics; MOTION PICTURES; NEGATIVE SENTIMENT; POSITIVE SENTIMENT; Psychology; SENTIMENT EXTRACTION; SUPPORT VECTOR MACHINES; TOOL AUGMENTATION; TRAINING
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA568477
http://www.dtic.mil/docs/citations/ADA568477
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12
Comparing methods for single paragraph similarity analysis
In: Topics in cognitive science. - Hoboken, NJ [u.a.] : Wiley 3 (2011) 1, 92-122
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13
The list length effect in recognition memory: an analysis of potential confounds
In: Memory & cognition. - Heidelberg [u.a.] : Springer 39 (2011) 2, 348-363
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14
Memory strength effects in fMRI studies: a matter of confidence
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15
The inverse list length effect: a challenge for pure exemplar models of recognition memory
In: Journal of memory and language. - Amsterdam [u.a.] : Elsevier 63 (2010) 3, 416-424
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16
Global similarity accounts of embedded-category designs: tests of the global matching models
In: Journal of memory and language. - Amsterdam [u.a.] : Elsevier 63 (2010) 2, 131-148
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17
Global similarity accounts of embedded-category designs: Tests of the Global Matching models
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18
The Use of a Context-Based Information Retrieval Technique
In: DTIC (2009)
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19
Bayesian analysis of recognition memory: the case of the list-length effect
In: Journal of memory and language. - Amsterdam [u.a.] : Elsevier 59 (2008) 3, 361-376
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20
The text mapping and inference rule generation problems in text comprehension : evaluating a memory-based account
In: Higher level language processes in the brain (Mahwah, N.J, 2007), p. 105-132
MPI für Psycholinguistik
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