This experiment is similar to the previous one, but we attached word senses to the synsets, selecting only core noun senses (less than 5000).
The following image depicts the tree obtained for this graph after a longest path untangling (synsets are shown in red, while senses in blue):
| from graph_tool.all import * | |
| g = load_graph('wnen30_core_noun_tree_longest_w_senses.graphml.xml.gz') | |
| is_synset = g.vertex_properties['is_synset'] | |
| tree_link = g.edge_properties['tree_link'] | |
| # for i, layout in enumerate((sfdp_layout(g), fruchterman_reingold_layout(g), arf_layout(g), radial_tree_layout(g, g.vertex(0)), random_layout(g))): | |
| ### RADIAL TREE LAYOUT | |
| # g.set_edge_filter(tree_link) | |
| # layout = radial_tree_layout(g, g.vertex(0)) | |
| # graph_draw(g, | |
| # pos=layout, | |
| # output_size=(2000, 2000), | |
| # output='radial_max_tree_layout_tree.png', | |
| # vertex_fill_color=is_synset, | |
| # edge_pen_width=1.2 | |
| # ) | |
| # g.set_edge_filter(None) | |
| # graph_draw(g, | |
| # pos=layout, | |
| # output_size=(2000, 2000), | |
| # output='radial_max_tree_layout.png', | |
| # vertex_fill_color=is_synset, | |
| # edge_pen_width=1.2 | |
| # ) | |
| # g.set_edge_filter(tree_link, inverted=True) | |
| # graph_draw(g, | |
| # pos=layout, | |
| # output_size=(2000, 2000), | |
| # output='radial_max_tree_layout_extra.png', | |
| # vertex_fill_color=is_synset, | |
| # edge_pen_width=1.2 | |
| # ) | |
| # FRUCHT | |
| layout = arf_layout(g) | |
| graph_draw(g, | |
| pos=layout, | |
| output_size=(2000, 2000), | |
| output='arf_layout.png', | |
| vertex_fill_color=is_synset, | |
| edge_pen_width=1.2 | |
| ) | |
| g.set_edge_filter(tree_link) | |
| graph_draw(g, | |
| pos=layout, | |
| output_size=(2000, 2000), | |
| output='arf_layout_tree.png', | |
| vertex_fill_color=is_synset, | |
| edge_pen_width=1.2 | |
| ) | |
| g.set_edge_filter(None) | |
| g.set_edge_filter(tree_link, inverted=True) | |
| graph_draw(g, | |
| pos=layout, | |
| output_size=(2000, 2000), | |
| output='arf_layout_extra.png', | |
| vertex_fill_color=is_synset, | |
| edge_pen_width=1.2 | |
| ) | |
| # print vertex_hist(g, g.vertex_properties['is_synset'],float_count=False) |
| Traceback (most recent call last): | |
| File "draw_all.py", line 54, in <module> | |
| edge_pen_width=1.2 | |
| File "/usr/lib/python2.7/dist-packages/graph_tool/draw/cairo_draw.py", line 863, in graph_draw | |
| cr.translate(offset[0], offset[1]) | |
| cairo.Error: invalid matrix (not invertible) |
| print 'Reading the list of sensekeys...' | |
| sensekeys = [line.rstrip() for line in open('wnen30_core5000_nouns_sensekeys.txt')] | |
| print 'Connecting to WordNet 3.0 MySQL database...' | |
| import MySQLdb | |
| import MySQLdb.cursors | |
| def get_cursor(): | |
| return MySQLdb.connect( | |
| host='opendata', | |
| db='wordnet_en_3.0', | |
| user='read', | |
| passwd='read', | |
| cursorclass=MySQLdb.cursors.DictCursor, | |
| use_unicode=True, | |
| charset='utf8' | |
| ).cursor() | |
| print 'Loading the synset graph...' | |
| from graph_tool.all import * | |
| g = load_graph('wnen30_noun_tree_longest.graphml.xml.gz') | |
| tree_link = g.edge_properties['tree_link'] | |
| pos = g.vertex_properties['pos'] | |
| print 'Indexing synsets...' | |
| index = {} | |
| synsetid = g.vertex_properties['synsetid'] | |
| for synset in g.vertices(): | |
| index[synsetid[synset]] = synset | |
| print 'Adding a "is_synset" property to distinguish between senses and synsets...' | |
| is_synset = g.new_vertex_property('bool') | |
| g.vertex_properties['is_synset'] = is_synset | |
| for synset in g.vertices(): | |
| is_synset[synset] = 1 | |
| print 'Adding new properties for sense nodes...''' | |
| lemma = g.new_vertex_property('string') | |
| sensenum = g.new_vertex_property('string') | |
| senseid = g.new_vertex_property('int32_t') | |
| sensekey = g.new_vertex_property('string') | |
| is_core_sense = g.new_vertex_property('bool') | |
| # add sense properties to the graph | |
| g.vertex_properties['lemma'] = lemma | |
| g.vertex_properties['sensenum'] = sensenum | |
| g.vertex_properties['senseid'] = senseid | |
| g.vertex_properties['sensekey'] = sensekey | |
| g.vertex_properties['is_core_sense'] = is_core_sense | |
| print 'Retrieving sense records...' | |
| # for each sense found in the sensekey list with pos=n, create a vertex | |
| c = get_cursor() | |
| c.execute("SELECT * FROM wordsXsensesXsynsets WHERE pos='n' AND sensekey IN ("+','.join(map(lambda x: "'"+x+"'", sensekeys))+")") | |
| senses = {} | |
| print 'Creating core sense vertices...' | |
| for i, row in enumerate(c.fetchall()): | |
| print 'Core senses: %d\r' % (i+1), | |
| v = g.add_vertex() | |
| senses[row['senseid']] = v | |
| is_synset[v] = 0 | |
| lemma[v] = row['lemma'] | |
| pos[v] = row['pos'] | |
| sensenum[v] = row['sensenum'] | |
| senseid[v] = row['senseid'] | |
| sensekey[v] = row['sensekey'] | |
| is_core_sense[v] = 1 | |
| e = g.add_edge(index[row['synsetid']],v) | |
| tree_link[e] = 1 # links to senses have to be retained | |
| print 'Selecting core vertices (senses and synsets)...' | |
| retained = g.new_vertex_property('bool') | |
| # init retained = 0 for all vertices | |
| for v in g.vertices(): | |
| retained[v] = 0 | |
| # walk up the tangled tree | |
| def walk(v): | |
| retained[v] = 1 | |
| for parent in v.in_neighbours(): | |
| walk(parent) | |
| # starting from each sense vertex | |
| for sense in senses.values(): | |
| walk(sense) | |
| g.set_vertex_filter(retained) | |
| print '%d vertices selected.' % len(list(g.vertices())) | |
| print 'Preparing synsets list...' | |
| synsets = [v for v in g.vertices() if is_synset[v]] | |
| print 'Retrieving non-core senses for synsets...' | |
| c = get_cursor() | |
| c.execute("SELECT * FROM wordsXsensesXsynsets WHERE pos='n' AND synsetid IN ("+','.join(map(lambda x: "'"+str(synsetid[x])+"'", synsets))+")") | |
| i = 0 | |
| for row in c.fetchall(): | |
| if row['senseid'] not in senses: | |
| # this is a new sense | |
| v = g.add_vertex() | |
| senses[row['senseid']] = v | |
| is_synset[v] = 0 | |
| lemma[v] = row['lemma'] | |
| pos[v] = row['pos'] | |
| sensenum[v] = row['sensenum'] | |
| senseid[v] = row['senseid'] | |
| sensekey[v] = row['sensekey'] | |
| is_core_sense[v] = 0 | |
| e = g.add_edge(index[row['synsetid']],v) | |
| tree_link[e] = 1 # links to senses have to be retained | |
| # make sure that this vertex will be exported | |
| retained[v] = 1 | |
| i += 1 | |
| print 'Non-core senses: %d\r' % i, | |
| print 'Saving the graph...' | |
| pruned = Graph(g, prune=True) | |
| pruned.save('wnen30_core_noun_tree_longest_w_senses.graphml.xml.gz') |
| time%1:28:03:: | |
| year%1:28:01:: | |
| people%1:14:00:: | |
| way%1:04:01:: | |
| way%1:04:00:: | |
| lily%1:20:00:: | |
| man%1:05:01:: | |
| man%1:18:00:: | |
| day%1:28:00:: | |
| child%1:18:01:: | |
| government%1:14:00:: | |
| role%1:09:00:: | |
| part%1:24:00:: | |
| life%1:26:02:: | |
| case%1:11:00:: | |
| case%1:04:00:: | |
| case%1:06:01:: | |
| subject%1:18:01:: | |
| woman%1:18:00:: | |
| work%1:04:01:: | |
| work%1:06:02:: | |
| work%1:06:01:: | |
| system%1:14:00:: | |
| number%1:07:00:: | |
| number%1:10:01:: | |
| number%1:10:03:: | |
| world%1:17:00:: | |
| world%1:14:02:: | |
| world%1:09:00:: | |
| world%1:17:01:: | |
| area%1:07:00:: | |
| course%1:17:00:: | |
| course%1:04:00:: | |
| course%1:04:01:: | |
| company%1:14:02:: | |
| company%1:26:00:: | |
| problem%1:09:00:: | |
| problem%1:10:00:: | |
| service%1:04:01:: | |
| service%1:14:00:: | |
| service%1:04:05:: | |
| service%1:04:00:: | |
| hand%1:08:00:: | |
| hand%1:04:00:: | |
| hand%1:10:01:: | |
| hand%1:14:00:: | |
| hand%1:18:00:: | |
| party%1:14:01:: | |
| party%1:14:00:: | |
| school%1:14:03:: | |
| school%1:06:00:: | |
| place%1:15:00:: | |
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| point%1:25:02:: | |
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| point%1:09:01:: | |
| degree%1:07:00:: | |
| period%1:10:00:: | |
| house%1:14:05:: | |
| firm%1:14:00:: | |
| sign%1:15:00:: | |
| house%1:06:00:: | |
| house%1:14:02:: | |
| country%1:15:01:: | |
| country%1:14:00:: | |
| week%1:28:02:: | |
| member%1:18:00:: | |
| end%1:15:01:: | |
| end%1:10:00:: | |
| end%1:09:02:: | |
| word%1:10:00:: | |
| news%1:10:00:: | |
| word%1:10:01:: | |
| password%1:10:00:: | |
| bible%1:10:00:: | |
| book%1:10:00:: | |
| example%1:09:00:: | |
| example%1:09:01:: | |
| family%1:14:01:: | |
| fact%1:10:01:: | |
| state%1:15:01:: | |
| state%1:26:02:: | |
| percent%1:24:00:: | |
| home%1:06:00:: | |
| home%1:06:01:: | |
| month%1:28:01:: | |
| side%1:10:00:: | |
| side%1:17:01:: | |
| side%1:15:00:: | |
| night%1:28:00:: | |
| center%1:15:01:: | |
| eye%1:08:00:: | |
| head%1:06:04:: | |
| head%1:18:00:: | |
| head%1:08:00:: | |
| information%1:10:00:: | |
| question%1:10:00:: | |
| doubt%1:07:00:: | |
| business%1:04:00:: | |
| business%1:04:01:: | |
| power%1:14:00:: | |
| power%1:18:00:: | |
| tycoon%1:18:00:: | |
| money%1:21:02:: | |
| money%1:21:01:: | |
| change%1:21:03:: | |
| change%1:11:00:: | |
| interest%1:21:00:: | |
| interest%1:04:01:: | |
| order%1:26:02:: | |
| order%1:10:00:: | |
| order%1:10:04:: | |
| club%1:14:00:: | |
| koran%1:10:00:: | |
| book%1:06:00:: | |
| development%1:22:01:: | |
| development%1:15:00:: | |
| room%1:06:00:: | |
| water%1:27:00:: | |
| urine%1:27:00:: | |
| form%1:10:01:: | |
| form%1:14:02:: | |
| class%1:14:03:: | |
| form%1:09:00:: | |
| human_body%1:08:00:: | |
| railcar%1:06:00:: | |
| car%1:06:00:: | |
| level%1:26:01:: | |
| level%1:06:01:: | |
| level%1:09:00:: | |
| policy%1:10:02:: | |
| council%1:14:01:: | |
| line%1:06:09:: | |
| line%1:14:01:: | |
| line%1:10:02:: | |
| line%1:09:01:: | |
| line%1:25:01:: | |
| line%1:06:03:: | |
| line%1:06:07:: | |
| tune%1:10:00:: | |
| note%1:10:03:: | |
| line%1:09:00:: | |
| need%1:26:01:: | |
| need%1:26:00:: | |
| motivation%1:03:00:: | |
| effect%1:19:00:: | |
| use%1:22:00:: | |
| use%1:07:00:: | |
| use%1:04:01:: | |
| estimate%1:09:00:: | |
| theme%1:10:02:: | |
| idea%1:09:00:: | |
| study%1:10:00:: | |
| study%1:06:00:: | |
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| fortune%1:26:00:: | |
| lot%1:15:00:: | |
| lot%1:23:00:: | |
| job%1:06:00:: | |
| job%1:04:01:: | |
| name%1:10:00:: | |
| name%1:26:00:: | |
| result%1:11:00:: | |
| body%1:08:00:: | |
| body%1:08:01:: | |
| body%1:08:02:: | |
| friend%1:18:02:: | |
| ally%1:18:00:: | |
| right_wing%1:14:00:: | |
| right%1:07:01:: | |
| authority%1:18:01:: | |
| authority%1:18:00:: | |
| view%1:09:02:: | |
| view%1:09:01:: | |
| view%1:10:00:: | |
| paper%1:10:01:: | |
| report%1:10:00:: | |
| report%1:10:03:: | |
| chip%1:17:00:: | |
| morsel%1:13:00:: | |
| paper%1:27:00:: | |
| grimace%1:10:00:: | |
| cheek%1:07:00:: | |
| face%1:08:00:: | |
| market%1:06:00:: | |
| hour%1:28:01:: | |
| hour%1:28:00:: | |
| rate%1:07:00:: | |
| law%1:14:00:: | |
| law%1:09:00:: | |
| law%1:14:01:: | |
| door%1:06:00:: | |
| court%1:14:00:: | |
| court%1:14:01:: | |
| court%1:06:00:: | |
| office%1:06:00:: | |
| war%1:04:02:: | |
| reason%1:26:00:: | |
| reason%1:10:01:: | |
| minister%1:18:02:: | |
| minister%1:18:00:: | |
| subject%1:06:00:: | |
| subject%1:10:00:: | |
| person%1:03:00:: | |
| condition%1:10:02:: | |
| term%1:10:00:: | |
| period%1:28:02:: | |
| period%1:28:00:: | |
| period%1:28:05:: | |
| society%1:14:00:: | |
| process%1:04:00:: | |
| mother%1:18:00:: | |
| voice%1:07:01:: | |
| voice%1:18:00:: | |
| price%1:07:02:: | |
| price%1:07:00:: | |
| action%1:10:00:: | |
| action%1:04:03:: | |
| action%1:04:01:: | |
| issue%1:09:01:: | |
| issue%1:18:00:: | |
| exit%1:06:00:: | |
| publication%1:04:01:: | |
| position%1:04:00:: | |
| position%1:09:01:: | |
| position%1:26:00:: | |
| matter%1:03:00:: | |
| community%1:15:00:: | |
| figure%1:06:01:: | |
| figure%1:21:00:: | |
| research%1:04:00:: | |
| education%1:04:00:: | |
| education%1:09:00:: | |
| few%1:23:00:: | |
| program%1:10:02:: | |
| program%1:10:00:: | |
| program%1:09:00:: | |
| program%1:10:01:: | |
| minute%1:28:00:: | |
| moment%1:28:02:: | |
| girl%1:18:02:: | |
| daughter%1:18:00:: | |
| girl%1:18:01:: | |
| age%1:07:00:: | |
| age%1:28:01:: | |
| age%1:28:02:: | |
| center%1:15:00:: | |
| center%1:06:00:: | |
| control%1:26:00:: | |
| control%1:07:01:: | |
| command%1:09:00:: | |
| value%1:09:00:: | |
| value%1:21:00:: | |
| value%1:09:01:: | |
| health%1:26:01:: | |
| health%1:26:00:: | |
| class%1:14:01:: | |
| industry%1:07:00:: | |
| industry%1:04:00:: | |
| back%1:08:01:: | |
| back%1:06:00:: | |
| force%1:07:00:: | |
| force%1:04:01:: | |
| force%1:14:01:: | |
| condition%1:09:00:: | |
| condition%1:26:00:: | |
| condition%1:10:01:: | |
| paper%1:10:03:: | |
| paper%1:27:00:: | |
| paper%1:10:02:: | |
| century%1:28:00:: | |
| father%1:18:00:: | |
| section%1:06:00:: | |
| patient%1:18:00:: | |
| activity%1:07:00:: | |
| road%1:06:00:: | |
| shoulder%1:06:00:: | |
| table%1:14:00:: | |
| table%1:06:02:: | |
| church%1:06:00:: | |
| mind%1:09:05:: | |
| thinker%1:18:00:: | |
| team%1:14:00:: | |
| experience%1:09:01:: | |
| death%1:11:00:: | |
| act%1:03:00:: | |
| act%1:10:00:: | |
| sense%1:09:04:: | |
| sense%1:10:00:: | |
| sense%1:09:02:: | |
| staff%1:10:01:: | |
| staff%1:14:01:: | |
| student%1:18:00:: | |
| scholar%1:18:00:: | |
| language%1:10:03:: | |
| language%1:10:00:: | |
| management%1:04:00:: | |
| morning%1:28:00:: | |
| morning%1:28:01:: | |
| plan%1:09:01:: | |
| product%1:19:00:: | |
| product%1:09:00:: | |
| product%1:06:01:: | |
| city%1:15:00:: | |
| committee%1:14:00:: | |
| ground%1:17:00:: | |
| background%1:09:00:: | |
| letter%1:10:01:: | |
| letter%1:10:00:: | |
| grounds%1:09:00:: | |
| foot%1:08:01:: | |
| foot%1:23:00:: | |
| boy%1:18:00:: | |
| game%1:04:00:: | |
| game%1:04:01:: | |
| plot%1:09:00:: | |
| food%1:03:00:: | |
| role%1:04:01:: | |
| practice%1:04:02:: | |
| practice%1:04:00:: | |
| bank%1:14:00:: | |
| bank%1:17:01:: | |
| support%1:21:00:: | |
| support%1:04:02:: | |
| support%1:04:00:: | |
| support%1:06:00:: | |
| building%1:06:00:: | |
| range%1:07:00:: | |
| range%1:15:02:: | |
| range%1:17:00:: | |
| range%1:06:01:: | |
| stage%1:28:00:: | |
| stage%1:06:00:: | |
| meeting%1:04:00:: | |
| meeting%1:11:00:: | |
| town%1:15:00:: | |
| art%1:04:00:: | |
| club%1:06:04:: | |
| club%1:06:03:: | |
| club%1:06:00:: | |
| weapon%1:06:00:: | |
| arm%1:08:00:: | |
| sleeve%1:06:00:: | |
| history%1:28:00:: | |
| history%1:10:00:: | |
| history%1:09:00:: | |
| parent%1:18:00:: | |
| land%1:21:00:: | |
| land%1:26:00:: | |
| trade%1:04:02:: | |
| trade%1:04:00:: | |
| trade%1:04:03:: | |
| situation%1:26:00:: | |
| teacher%1:18:00:: | |
| record%1:10:00:: | |
| record%1:21:00:: | |
| record%1:23:00:: | |
| record%1:04:00:: | |
| manager%1:18:00:: | |
| relation%1:18:00:: | |
| field%1:15:02:: | |
| field%1:15:00:: | |
| battlefield%1:15:00:: | |
| window%1:06:05:: | |
| account%1:21:02:: | |
| account%1:10:04:: | |
| difference%1:10:00:: | |
| difference%1:23:00:: | |
| material%1:06:00:: | |
| material%1:27:00:: | |
| air%1:27:00:: | |
| breeze%1:19:00:: | |
| wife%1:18:00:: | |
| project%1:04:00:: | |
| sale%1:04:01:: | |
| sale%1:04:02:: | |
| relationship%1:26:00:: | |
| kinship%1:24:00:: | |
| light%1:06:00:: | |
| light%1:07:01:: | |
| light%1:06:01:: | |
| care%1:12:01:: | |
| care%1:09:00:: | |
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| rule%1:10:02:: | |
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| rule%1:28:00:: | |
| story%1:10:02:: | |
| story%1:10:03:: | |
| quality%1:07:02:: | |
| tax%1:21:00:: | |
| worker%1:18:00:: | |
| nature%1:18:00:: | |
| nature%1:17:00:: | |
| structure%1:06:00:: | |
| pound%1:06:00:: | |
| pound%1:23:09:: | |
| method%1:09:00:: | |
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| bed%1:06:00:: | |
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| board%1:27:00:: | |
| detail%1:24:00:: | |
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(Sorry about that, but we can’t show files that are this big right now.)
