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3,200 | This general strategy will be illustrated by a practical application , namely the << highlighting of relevant information >> in a patient discharge summary -LRB- PDS -RRB- by means of modern [[ HyperText Mark-Up Language -LRB- HTML -RRB- technology ]] . | 3,200 | 3 |
3,201 | Such an [[ application ]] can be of use for << medical administrative purposes >> in a hospital environment . | 3,201 | 3 |
3,202 | << CriterionSM Online Essay Evaluation Service >> includes a capability that labels sentences in student writing with [[ essay-based discourse elements ]] -LRB- e.g. , thesis statements -RRB- . | 3,202 | 4 |
3,203 | CriterionSM Online Essay Evaluation Service includes a capability that labels sentences in student writing with << essay-based discourse elements >> -LRB- e.g. , [[ thesis statements ]] -RRB- . | 3,203 | 2 |
3,204 | We describe a new [[ system ]] that enhances << Criterion 's capability >> , by evaluating multiple aspects of coherence in essays . | 3,204 | 3 |
3,205 | We describe a new << system >> that enhances Criterion 's capability , by evaluating multiple aspects of [[ coherence in essays ]] . | 3,205 | 6 |
3,206 | This [[ system ]] identifies << features >> of sentences based on semantic similarity measures and discourse structure . | 3,206 | 3 |
3,207 | This system identifies << features >> of sentences based on [[ semantic similarity measures ]] and discourse structure . | 3,207 | 3 |
3,208 | This system identifies << features >> of sentences based on semantic similarity measures and [[ discourse structure ]] . | 3,208 | 3 |
3,209 | This system identifies features of sentences based on << semantic similarity measures >> and [[ discourse structure ]] . | 3,209 | 0 |
3,210 | A << support vector machine >> uses these [[ features ]] to capture breakdowns in coherence due to relatedness to the essay question and relatedness between discourse elements . | 3,210 | 3 |
3,211 | A support vector machine uses these [[ features ]] to capture << breakdowns in coherence >> due to relatedness to the essay question and relatedness between discourse elements . | 3,211 | 3 |
3,212 | << Intra-sentential quality >> is evaluated with [[ rule-based heuristics ]] . | 3,212 | 6 |
3,213 | Results indicate that the [[ system ]] yields higher performance than a << baseline >> on all three aspects . | 3,213 | 5 |
3,214 | This paper presents an [[ algorithm ]] for << labeling curvilinear structure >> at multiple scales in line drawings and edge images Symbolic CURVE-ELEMENT tokens residing in a spatially-indexed and scale-indexed data structure denote circular arcs fit to image data . | 3,214 | 3 |
3,215 | This paper presents an algorithm for << labeling curvilinear structure >> at multiple scales in [[ line drawings ]] and edge images Symbolic CURVE-ELEMENT tokens residing in a spatially-indexed and scale-indexed data structure denote circular arcs fit to image data . | 3,215 | 1 |
3,216 | This paper presents an algorithm for labeling curvilinear structure at multiple scales in [[ line drawings ]] and << edge images >> Symbolic CURVE-ELEMENT tokens residing in a spatially-indexed and scale-indexed data structure denote circular arcs fit to image data . | 3,216 | 0 |
3,217 | This paper presents an algorithm for << labeling curvilinear structure >> at multiple scales in line drawings and [[ edge images ]] Symbolic CURVE-ELEMENT tokens residing in a spatially-indexed and scale-indexed data structure denote circular arcs fit to image data . | 3,217 | 1 |
3,218 | This paper presents an algorithm for labeling curvilinear structure at multiple scales in line drawings and edge images Symbolic [[ CURVE-ELEMENT tokens ]] residing in a << spatially-indexed and scale-indexed data structure >> denote circular arcs fit to image data . | 3,218 | 4 |