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A Pattern-Based Approach to Recognizing Time Expressions

A Pattern-Based Approach to Recognizing Time Expressions

... a pattern-based approach to recognizing time expression, ...type time-related ...training time expressions, and then select an appropriate subset of them to ... See full document

8

Temporal Expression Recognition for Cell Cycle Phase Concepts in Biomedical Literature

Temporal Expression Recognition for Cell Cycle Phase Concepts in Biomedical Literature

... for recognizing temporal expressions related to cell cycle phase (CCP) concepts in biomedical ...existing time-related anno- tation guidelines for ...Our approach is a hybrid of machine ... See full document

9

Different Viewpoints of Recognizing Fleeting Facial Expressions with DWT

Different Viewpoints of Recognizing Fleeting Facial Expressions with DWT

... facial expressions can convey much information about feelings (angry or happy) and intentions (hostile or friendly) of strangers we ...facial expressions still play an essential role in human ...of ... See full document

5

A Semantic Approach to Recognizing Textual Entailment

A Semantic Approach to Recognizing Textual Entailment

... effort based on the theory of frame semantics which defines the meanings of lexi- cal units with respect to larger conceptual structures, called ...binding pattern to spe- cific elements within the ... See full document

8

Recognizing the Optimal Events by Matching their Pattern (User Based Retrieval System)

Recognizing the Optimal Events by Matching their Pattern (User Based Retrieval System)

... Our approach works by computing the “mutual information” between pairs of columns within each schema, and then using this statistical characterization of pairs of columns in one schema to propose matching pairs of ... See full document

5

Monitoring of Bioreactor using Statistical Techniques

Monitoring of Bioreactor using Statistical Techniques

... Window Based Pattern Matching: In this approach, the snapshot or template data with unknown start and end time of operating condition moves through historical data and the similarity between ... See full document

6

A Logic Based Semantic Approach to Recognizing Textual Entailment

A Logic Based Semantic Approach to Recognizing Textual Entailment

... The second layer of our logic representation adds the semantic relations, the underlying relation- ships between concepts. They provide the se- mantic background for the text, which allows for a denser connectivity ... See full document

8

Recognizing Textual Entailment based on Deep Learning Approach

Recognizing Textual Entailment based on Deep Learning Approach

... processing time of a state-of-the-art logic-based RTE system can be significantly reduced by replacing its search-based axiom injection (abduction) mechanism by that based on Knowledge Base ... See full document

6

Parsing Time: Learning to Interpret Time Expressions

Parsing Time: Learning to Interpret Time Expressions

... probabilistic approach for learn- ing to interpret temporal phrases given only a corpus of utterances and the times they ref- ...regular expressions and similar lin- ear pattern interpretation rules, ... See full document

10

A lightweight, pattern-based approach to identification and formalisation of TimeML expressions in clinical narratives

A lightweight, pattern-based approach to identification and formalisation of TimeML expressions in clinical narratives

... As shown in Table 3, incorrect Value calculation of relative dates (n = 50) and abbreviated event dates and durations (n = 38) form the bulk of the errors identified in the 20 documents sampled. Problems with relative ... See full document

11

Intervention based on training in pattern recognition in learning disability: A case study approach

Intervention based on training in pattern recognition in learning disability: A case study approach

... same time no negative feedback for wrong spellings and grammatical mistakes was ...the time of substitution the child was given an alert tone to concentrate again onto the ... See full document

8

A New Statistical Approach for Recognizing and Classifying Patterns of Control Charts (RESEARCH NOTE)

A New Statistical Approach for Recognizing and Classifying Patterns of Control Charts (RESEARCH NOTE)

... chart pattern (CCP) recognition techniques are widely used to identify the potential process problems in modern ...are time consuming and ...making approach to recognize and classify the patterns of ... See full document

9

Graph-Based Approach to Recognizing CST Relations in Polish Texts

Graph-Based Approach to Recognizing CST Relations in Polish Texts

... These features were used as a baseline model for the description of text pairs, and compared later with the graph-based representation proposed in the following subsections. Several language tools were used to ... See full document

9

The Pattern of EDTA-Blood Photo Spectrum in Ovarian Cancer Patients: A Novel Biomarker

The Pattern of EDTA-Blood Photo Spectrum in Ovarian Cancer Patients: A Novel Biomarker

... a time series [12]. Statistically, data in time series can be divided into deterministic and stochastic components, which do not correlate with each ...approaches, based on the phenomenological law ... See full document

8

Facial expression recognition by using modified convolutional neural network (mcnn) and modified gabor filter

Facial expression recognition by using modified convolutional neural network (mcnn) and modified gabor filter

... any time [Ekman, 1997]. Facial expressions play a critical role in human communication, where the emotional states for human are convey and perceived through it, besides that, facial expression is consider ... See full document

8

SUTime: A library for recognizing and normalizing time expressions

SUTime: A library for recognizing and normalizing time expressions

... vided by Georgetown University, part of the TARSQI toolkit (Verhagen and Pustejovsky, 2008) for tempo- ral processing. Although GUTime generates TIMEX3 annotations, the format is not the same as that used in TempEval-2. ... See full document

6

Recognizing semantic relations within Polish noun phrase: A rule-based approach

Recognizing semantic relations within Polish noun phrase: A rule-based approach

... Next the operator seeks for the preposition przez ‘by’ at position 1. Then it tests if the first mean- ing of the lemma wydawca ‘publisher’ does not belong to the domain ‘time’ (= Polish czas) in Polish WordNet ... See full document

8

TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter

TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter

... Temporal expressions are words or phrases that re- fer to dates, times or ...Resolving time ex- pressions is an important task in information ex- traction (IE) that enables downstream applications such as ... See full document

12

DETECTION OF MASQUERADERS USING TREE STRUCTURED SVM

DETECTION OF MASQUERADERS USING TREE STRUCTURED SVM

... and recognizing automatically the behavior profile of a user from the commands in a command line ...is based on Evolving Fuzzy Systems and it takes into account the fact that the behavior of any user is not ... See full document

10

Individual Differences in Recognizing Spontaneous Emotional Expressions: Their Implications for Positive Interpersonal Relationships

Individual Differences in Recognizing Spontaneous Emotional Expressions: Their Implications for Positive Interpersonal Relationships

... The SERT. In the first phase, an interview study was con- ducted to develop a pool of stimulus video clips. Twenty-six European American college students (18 women and 8 men) were interviewed in individual 25-minute ... See full document

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