{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "\n", "\n", "---\n", "\n", "To get started: consult [start](start.ipynb)\n", "\n", "---\n", "\n", "# Named Entities\n", "\n", "A research group at VU University Amsterdam (Piek Vossen VU, Sophie Arnoult)\n", "has applied a NER-algorithm to this corpus (Named Entity Recognition) and \n", "delivered the results as Text-Fabric features in \n", "[cltl/voc-missives](https://github.com/cltl/voc-missives).\n", "\n", "We can use these shared features, they are in `export/tf` and we see that they have been produced\n", "against version `1.0` of the corpus data.\n", "\n", "See [entityProto](entityProto.ipynb) for an exploration of these entities.\n", "\n", "Based on that we have created `ent` nodes for entity occurrences and `entity` nodes for collections of `ent`\n", "nodes that have the same entity id and entity kind." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2018-05-24T10:06:39.818664Z", "start_time": "2018-05-24T10:06:39.796588Z" } }, "outputs": [], "source": [ "from tf.app import use" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "**Locating corpus resources ...**" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "app: ~/text-fabric-data/github/CLARIAH/wp6-missieven/app" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "Status: latest release online v1.1e versus v1.0 locally" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "downloading app, main data and requested additions ..." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ 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\n", "
General Missives Dutch East India Company 1600-1800\n", "
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\n", "
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\n", "
str
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\n", "
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str
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\n", "
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int
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int
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\n", "
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\n", "
str
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\n", "
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\n", "
int
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\n", "
str
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\n", "
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int
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\n", "
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\n", "
int
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\n", "
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int
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\n", "\n", "
\n", "
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int
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int
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str
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str
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int
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int
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str
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TF API: names N F E L T S C TF Fs Fall Es Eall Cs Call directly usable
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "A = use(\"CLARIAH/wp6-missieven\", checkout=\"latest\", hoist=globals())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following snippet shows how the `entity` and `ent` nodes hang together." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "entity 6656750 is PER pieter.both having 20 occs\n", "ent 6638994 is PER pieter.both 1 3:1\n", "ent 6639002 is PER pieter.both 1 3:1\n", "ent 6639005 is PER pieter.both 1 3:1\n", "ent 6639023 is PER pieter.both 1 7:1\n", "ent 6639045 is PER pieter.both 1 8:1\n", "ent 6639063 is PER pieter.both 1 16:1\n", "ent 6639067 is PER pieter.both 1 16:1\n", "ent 6639073 is PER pieter.both 1 17:1\n", "ent 6639084 is PER pieter.both 1 18:1\n", "ent 6639086 is PER pieter.both 1 19:1\n", "ent 6639105 is PER pieter.both 1 20:1\n", "ent 6639109 is PER pieter.both 1 20:1\n", "ent 6639115 is PER pieter.both 1 20:1\n", "ent 6639116 is PER pieter.both 1 21:1\n", "ent 6639136 is PER pieter.both 1 27:1\n", "ent 6639138 is PER pieter.both 1 27:1\n", "ent 6639141 is PER pieter.both 1 29:1\n", "ent 6639169 is PER pieter.both 1 33:1\n", "ent 6639183 is PER pieter.both 1 37:1\n", "ent 6639217 is PER pieter.both 1 39:1\n" ] } ], "source": [ "firstEntity = F.otype.s(\"entity\")[0]\n", "entityOccurrences = E.eoccs.f(firstEntity)\n", "\n", "print(f\"entity {firstEntity} is {F.kind.v(firstEntity)} {F.eid.v(firstEntity)} having {len(entityOccurrences)} occs\")\n", "\n", "for eo in entityOccurrences:\n", " print(f\"ent {eo} is {F.kind.v(eo)} {F.eid.v(eo)} {A.sectionStrFromNode(eo)}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we show the\n", "[NER API](https://annotation.github.io/text-fabric/tf/browser/ner/annotate.html)\n", "as built in into Text-Fabric." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "NE = A.makeNer()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "74 lines\n" ] } ], "source": [ "results = NE.filterContent(eVals=(\"japan\", \"LOC\"))" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
3 462:11 760 matrozen; mogelijk is de 2s.oraveland SHP 1’s Oraveland, 2met carg. van f. 244844. 13. 15 uit 1japan LOC 74Japan 1
3 462:13 f. 948809. 10. 5 uit 1japan LOC 74Japan, 1bestemd voor 1india LOC 32India 1enz.; 1perak LOC 4Perak 1leverde 738 bahar tin; het op
3 653:6 naar 1japan LOC 74Japan 1gevaren met lading van f 51070, vnl. huiden »
3 653:8 De 2 joncken, die de Coning verleden saison nae 1japan LOC 74Japan 1hadde gehad, waeren
3 653:17 gegevens 1japan LOC 74Japan, 1vgl. Beschrijvinge II, I, p. 435-437, deels letterlijk gelijk; uit het
3 653:21 luyden beyde, 1china LOC 79China 1namentlijck en 1japan LOC 74Japan, 1onderdanig sijn of immers den 1japander LOCderiv 1Japander 1
3 813:5 Te vergelijken mei Daghregisters 1672 , p. 28-33bericht uit 1japan LOC 74Japan 1over
3 813:23 Daar stonden 2 joncken uyt 1japan LOC 74Japan 1naa 1tonquin LOC 2Tonquin 1te gaan, die ’t koopergelt
3 813:24 ontrent 20 ten hondert dierder in 1japan LOC 74Japan 1hadden ingekoght als de 2comp.e ORG 5Comp. e 2en
3 834:5 Vgl. voor de inhoud Daghregisters 1672 p. 348-349gegevens 1japan LOC 74Japan , 1vgl.
3 893:7 gegevens over 1japan LOC 74Japan, 1vrijwel letterlijk gelijk afgedrukt Beschrijvinge II, II, p. 448;
3 918:15 jonk uit 1japan LOC 74Japan 1met o. a. 1800 kisten koper, één uit 1siam LOC 43Siam 1met o. a. sapanhout »
4 100:22 De 1tayoanse LOCderiv 1Tayoanse 11chinesen LOCderiv 15Chinesen - 1in dat rijck NI. 1japan LOC 74Japan. 1
4 100:26 Grotere cargasoenen voor 1japan LOC 74Japan 1overwogen »
4 238:7 vrees, dal, evenals in 1japan LOC 74Japan, 1in 1china LOC 79China 1de ivaren tegen taxatie aan de gouverneurs zullen
4 241:19 1japan LOC 74Japan 1voor 1coromandel LOC 41Coromandel 1beschikbaar zal zijn, terwijl ook 1bengalen LOC 72Bengalen 1zal kunnen toekomen;
4 309:7 uit 1japan LOC 74Japan 1aangebracht , werden opgekocht d 18 rsd. het picol; de taxatie der goederen te
4 423:17 heeft het laten kruisen van zijn vaartuigen weer gestaakt ; vgl. voor 1japan LOC 74Japan 1Beschrijvinge 11, 1, p. 467-468betreurd, dat er niet meer 1bengaalse LOCderiv 4Bengaalse 1zijde beschikbaar was; men
4 477:24 en 1rome LOC 1Rome 1bestemde 1siamese LOCderiv 2Siamese 1gezanten te 1bantam LOC 133Bantam 1zien zeer tegen de reis op; voor 1japan LOC 74Japan 1
4 782:16 waren de gewraackte ofte uytgeschooten zijde nae 1japan LOC 74Japan 1te senden, alwaar
4 782:19 1comp ORG 86Comp. 1e in hunnen handel op 1japan LOC 74Japan 1hinderlijck en nadeeligh souden konnen wesen
Showing only the first 20 lines of all 74 ones.
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "NE.showContent(results, start=20)" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "---\n", "\n", "# Contents\n", "\n", "* **[start](start.ipynb)** start computing with this corpus\n", "* **[search](search.ipynb)** turbo charge your hand-coding with search templates\n", "* **[compute](compute.ipynb)** sink down a level and compute it yourself\n", "* **[exportExcel](exportExcel.ipynb)** make tailor-made spreadsheets out of your results\n", "* **[annotate](annotate.ipynb)** export text, annotate with BRAT, import annotations\n", "* **[share](share.ipynb)** draw in other people's data and let them use yours\n", "* **entities** use results of third-party NER (named entity recognition)\n", "* **[porting](porting.ipynb)** port features made against an older version to a newer version\n", "* **[volumes](volumes.ipynb)** work with selected volumes only\n", "\n", "CC-BY Dirk Roorda" ] } ], "metadata": { "jupytext": { "encoding": "# -*- coding: utf-8 -*-" }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.2" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }