ICARUS-Search-Perspective

The search_perspective.png perspective provides the following search types:

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Index:

  1. How to set up a new search

  2. Search Parameter (Dependency-Search)

  3. Result Outline(Dependency-Search)

  4. Search Menu

  5. Graph Query Editor

  6. Result Outline

  7. Tutorial Dependency Search (passive constructions) with one grouping operator

  8. Tutorial Dependency Search (passive constructions with overt logical subjects)

  9. Tutorial Dependency Search (passive constructions with overt logical subjects and object)

How to set up a new search:

  1. Click on search_new.png to create a new search.

  2. Afterwards the search need to be configured:

  3. search_configuration.png

    • Type: Select one of the following search types described above.
    • Data-Set: The Treebank/Document used for the query.

    • Query: Clicking search_query.png opens the query editor. There may be different types of query editors depending on the search type.

    • Parameters: Search pararameters depending on the search type.

  4. Execute Search using the search_execute.png button

  5. View the Result by double-clicking the search result or use the inspect-button search_inspect.png

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Search Parameter (Dependency-Search):

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Result Outline(Dependency-Search):

attachment:search_result_1D.png

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Search Menu:

search_manager_menu.png

Search History Toolbar: search_history-tb.png . Every executed search is listed in the search history. The history is available until you close your ICARUS session. The figure shows three search history items. During the search process the icons to the left may change:

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Graph Query Editor:

search_query-editor-tab.png This tab is used to build a query. Graph Editor Toolbar: search_graph-tb.png

Note: The copy&paste nodes/edges can be used to copy graphs from/into other perspectives (e.g. Tutorial 1D,..)

Text Query Editor Toolbar: search_query-tb-text.png

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Result Outline:

search_result-tab.png Use this tab to browse the search results. The visialization may be seperated into four differnet presentation styles. We describe the different types in the following section.

Result Outline Toolbar: search_result-base-tb.png

0. No grouping operator search_grouping-operator.png is used.

The result is presented as a list of sentences. Every occurence that matches the query is colored blue. Results (0D) attachment:search_result_0D.png

1. One grouping operator search_grouping-operator.png is used.

All lemma types found are shown in the list (red) to the left. The user may select one lemma type to get all instances with matching query. Every occurence that matches the query is colored blue and the "grouped" lemma colored red. Results (1D) attachment:search_result_1D.png

2. Two grouping operators search_grouping-operator.png are used.

The result is presented as a table. Grouping operator one (red) is on the y-axis and grouping operator two (green) on the x-axis (Note: The x-/y-axis may be fliped clicking on search_flip-table.png ). Every occurence that matches the query is colored blue. Results (2D) attachment:search_result_2D-a.png attachment:search_result_2D-b.png

3. Three grouping operators search_grouping-operator.png are used.

The result is presented as a list of sentences. Every occurence that matches the query is colored blue. Results (3D) attachment:search_result_3D-a.png attachment:search_result_3D-b.png

At the lower part of the graph panel is the text outline. The list contains all search results of the selected instance. The selected sentence is shown in the graph panel.

Toolbar: text-tb.png

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1) Tutorial Dependency Search (passive constructions) with one grouping operator:

If the the user doesn't exactly know the how passive constructions are annotated in a treebank. Then he can use e.g. mate-tools or weblicht to parse a sentence contains a passice construction and copy&paste the structure to the search graph.

  1. Parsed sentence "Mary was kissed by a boy." search_example_mt.png .

  2. Select the passice construction search_example_mt_selected.png

  3. Copy the selected cells and edges search_copy.png and switch to the search_perspective.png

  4. Paste selected cells and edges into the search query editor window search_paste.png

  5. The resulting graph when using the arc-layout (recommended) search_arc-layout.png search_cp-graph-arc.png

  6. In the following step the search graph (query) will be generalized (double clicking the edge / nodes to open the edge/node editor).

    1. Node 1 properties search_edit-node.png changed to search_edit-node-b.png

    2. Edge properties search_example-edge.png changed to search_example-edge-b.png

    3. Node 2 properties search_example-node2.png changed to (added grouping operator <*>) search_example-node2-b.png search_example-node2-c.png

    4. These changes result in a new more generalized version of the search graph (below is the textual query representation) search_example_sg+text.png This query matches passive constructions in English as annotated in the CoNLL08 Shared Task data set.

  7. Results (1D) attachment:search_result_1D.png

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2) Tutorial Dependency Search (passive constructions with overt logical subjects):

We are interested in passive constructions with overt logical subjects, grouped by lemma of the verb and the lemma of the logical subject. We may use the search graph for passive constructions or build the query completly manually (shown here).

  1. First of all clear the graph editor panel (if there is any remaining graph) using search_clear.png

  2. Add four new nodes search_add-node.png you may "automatic reorder" them by clicking search_reorder-graph.png

  3. Your graph editor should look like search_t2_4nodes.png

  4. There are two ways connecting nodes / adding edges

    1. Select two nodes search_t2_addingedge-a.png and connect them clicking on search_add-edge.png

    2. Place the cursor in the middle of the desired (source) node. A green border will show up search_hl-node.png . Hold the left mousebutton and move to the (target) node. When you reached the target node again a green border shows up. Release the left mousebutton to draw an edge between those node search_t2_addingedge-b.png

  5. Double click on the nodes/edges to specify the constraints. (Note: Adding constraints may mess up the graph layout. You may use search_reorder-graph.png to redraw the graph)

    1. Node 1: Lemma = be search_t2-n1.png

    2. Node 2: Lemma = <*> (red grouping operator); Part-Of-Speech = VBN search_t2-n2.png

    3. Node 3: Form = by search_t2-n3.png

    4. Node 4: Lemma = <*> (green grouping operator) search_t2-n4.png

    5. Edge 1: Relation = VC search_t2-e1.png

    6. Edge 2: Relation = LGS search_t2-e2.png

    7. Edge 3: Relation = PMOD search_t2-e3.png

  6. When every node, edge was linked and there was no error setting the constraints above the search graph should look like this: search_t2-sg.png

    • (Textual query: [lemma=be [relation=VC, lemma<*>1, pos=VBN [relation=LGS, form=by [relation=PMOD, lemma<*>2]]]])

  7. Results (2D) attachment:search_result_2D-a.png attachment:search_result_2D-b.png

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3) Tutorial Dependency Search (passive constructions with overt logical subjects and object):

In tutorial 1) we showed how to create a query using a copied graph from the parser. Tutorial 2) shows how to create a query from scratch. In tutorial 3) we will extend the search graph used in 2) with an additional grouping operator.

  1. We start with the following search graph search_t2-sg.png

  2. Add one new node search_add-node.png you may "automatic reorder" them by clicking search_reorder-graph.png

  3. Your graph editor should look like search_t3-n5added.png

  4. Connect the "red" node with the new node using one of the following options

    1. Select the node search_t3-addedge-c.png and connect them clicking on search_add-edge.png

    2. Place the cursor in the middle of node 2. A green border will show up search_t3-addedge-a.png . Hold the left mousebutton and move to the new node. When you reached the target node again a green border shows up search_hl-node.png . Release the left mousebutton to draw an edge between those node search_t3-addedge-b.png

  5. Double click on the new node/edge to specify the constraints. (Note: Adding constraints may mess up the graph layout. You may use search_reorder-graph.png to redraw the graph)

    1. Node 5: Lemma = <*> (browngrouping operator) search_t3-n5.png

    2. Edge 4: Relation = OBJ search_t3-e4.png

  6. When every node, edge was linked and there was no error setting the constraints above the search graph should look like this: search_t3-sg.png

    • (Textual query: [lemma=be [relation=VC, lemma<*>1, pos=VBN [relation=LGS, form=by [relation=PMOD, lemma<*>2]][relation=OBJ, lemma<*>3]]])

  7. Results (3D) attachment:search_result_3D-a.png attachment:search_result_3D-b.png

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