{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "c32bf0b9-1445-4ede-ae49-7dd63ff3b08e", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:41:43.180489Z", "iopub.status.busy": "2024-01-17T01:41:43.179719Z", "iopub.status.idle": "2024-01-17T01:41:43.199483Z", "shell.execute_reply": "2024-01-17T01:41:43.194882Z", "shell.execute_reply.started": "2024-01-17T01:41:43.180434Z" } }, "outputs": [], "source": [ "# for use in tutorial and development; do not include this `sys.path` change in production:\n", "import sys ; sys.path.insert(0, \"../\")" ] }, { "cell_type": "markdown", "id": "c8ff5d81-110c-42ae-8aa7-ed4fffea40c6", "metadata": {}, "source": [ "# demo: TextGraphs + LLMs to construct a 'lemma graph'" ] }, { "cell_type": "markdown", "id": "1e847d0a-bc6c-470a-9fef-620ebbdbbbc3", "metadata": {}, "source": [ "_TextGraphs_ library is intended for iterating through a sequence of paragraphs." ] }, { "cell_type": "markdown", "id": "61d8d39a-23e4-48e7-b8f4-0dd724ccf586", "metadata": {}, "source": [ "## environment" ] }, { "cell_type": "code", "execution_count": 2, "id": "22489527-2ad5-4e3c-be23-f511e6bcf69f", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:41:43.205321Z", "iopub.status.busy": "2024-01-17T01:41:43.204828Z", "iopub.status.idle": "2024-01-17T01:41:51.202960Z", "shell.execute_reply": "2024-01-17T01:41:51.201428Z", "shell.execute_reply.started": "2024-01-17T01:41:43.205291Z" }, "scrolled": true }, "outputs": [], "source": [ "from IPython.display import display, HTML, Image, SVG\n", "import pathlib\n", "import typing\n", "\n", "from icecream import ic\n", "from pyinstrument import Profiler\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import pyvis\n", "import spacy\n", "\n", "import textgraphs" ] }, { "cell_type": "code", "execution_count": 3, "id": "438f5775-487b-493e-a172-59b652b94955", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:41:51.205309Z", "iopub.status.busy": "2024-01-17T01:41:51.204860Z", "iopub.status.idle": "2024-01-17T01:41:51.226390Z", "shell.execute_reply": "2024-01-17T01:41:51.225503Z", "shell.execute_reply.started": "2024-01-17T01:41:51.205274Z" } }, "outputs": [], "source": [ "%load_ext watermark" ] }, { "cell_type": "code", "execution_count": 4, "id": "adc052dd-5cca-4d11-b543-3f0999f4f883", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:41:51.228636Z", "iopub.status.busy": "2024-01-17T01:41:51.228357Z", "iopub.status.idle": "2024-01-17T01:41:51.282369Z", "shell.execute_reply": "2024-01-17T01:41:51.281284Z", "shell.execute_reply.started": "2024-01-17T01:41:51.228610Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Last updated: 2024-01-16T17:41:51.229985-08:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.11\n", "IPython version : 8.20.0\n", "\n", "Compiler : Clang 13.0.0 (clang-1300.0.29.30)\n", "OS : Darwin\n", "Release : 21.6.0\n", "Machine : x86_64\n", "Processor : i386\n", "CPU cores : 8\n", "Architecture: 64bit\n", "\n" ] } ], "source": [ "%watermark" ] }, { "cell_type": "code", "execution_count": 5, "id": "6e4618da-daf9-44c9-adbb-e5781dba5504", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:41:51.291126Z", "iopub.status.busy": "2024-01-17T01:41:51.287449Z", "iopub.status.idle": "2024-01-17T01:41:51.322186Z", "shell.execute_reply": "2024-01-17T01:41:51.320908Z", "shell.execute_reply.started": "2024-01-17T01:41:51.291072Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "sys : 3.10.11 (v3.10.11:7d4cc5aa85, Apr 4 2023, 19:05:19) [Clang 13.0.0 (clang-1300.0.29.30)]\n", "spacy : 3.7.2\n", "pandas : 2.1.4\n", "matplotlib: 3.8.2\n", "textgraphs: 0.5.0\n", "pyvis : 0.3.2\n", "\n" ] } ], "source": [ "%watermark --iversions" ] }, { "cell_type": "markdown", "id": "1a04e3dc-57d8-43a4-a342-cc38b86fc6a6", "metadata": {}, "source": [ "## parse a document" ] }, { "cell_type": "markdown", "id": "7c567afd-2f44-4391-899a-da6aba3d222e", "metadata": {}, "source": [ "provide the source text" ] }, { "cell_type": "code", "execution_count": 6, "id": "630430c5-21dc-4897-9a4b-3b01baf3de17", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:41:51.326474Z", "iopub.status.busy": "2024-01-17T01:41:51.325657Z", "iopub.status.idle": "2024-01-17T01:41:51.334443Z", "shell.execute_reply": "2024-01-17T01:41:51.332925Z", "shell.execute_reply.started": "2024-01-17T01:41:51.326405Z" } }, "outputs": [], "source": [ "SRC_TEXT: str = \"\"\" \n", "Werner Herzog is a remarkable filmmaker and an intellectual originally from Germany, the son of Dietrich Herzog.\n", "After the war, Werner fled to America to become famous.\n", "\"\"\"" ] }, { "cell_type": "markdown", "id": "01152885-f301-49b1-ab61-f5b19d81c036", "metadata": {}, "source": [ "set up the statistical stack profiling" ] }, { "cell_type": "code", "execution_count": 7, "id": "2a289117-301d-4027-ae1b-200201fb5f93", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:41:51.346396Z", "iopub.status.busy": "2024-01-17T01:41:51.346074Z", "iopub.status.idle": "2024-01-17T01:41:51.352763Z", "shell.execute_reply": "2024-01-17T01:41:51.350319Z", "shell.execute_reply.started": "2024-01-17T01:41:51.346368Z" } }, "outputs": [], "source": [ "profiler: Profiler = Profiler()\n", "profiler.start()" ] }, { "cell_type": "markdown", "id": "bf9d4f99-b82b-4d11-a9a4-31d0337f4aa8", "metadata": {}, "source": [ "set up the `TextGraphs` pipeline" ] }, { "cell_type": "code", "execution_count": 8, "id": "da6fcb0f-b2ac-4f74-af39-2c129c750cab", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:41:51.357183Z", "iopub.status.busy": "2024-01-17T01:41:51.354882Z", "iopub.status.idle": "2024-01-17T01:42:10.886781Z", "shell.execute_reply": "2024-01-17T01:42:10.884253Z", "shell.execute_reply.started": "2024-01-17T01:41:51.357081Z" } }, "outputs": [], "source": [ "tg: textgraphs.TextGraphs = textgraphs.TextGraphs(\n", " factory = textgraphs.PipelineFactory(\n", " spacy_model = textgraphs.SPACY_MODEL,\n", " ner = None,\n", " kg = textgraphs.KGWikiMedia(\n", " spotlight_api = textgraphs.DBPEDIA_SPOTLIGHT_API,\n", " dbpedia_search_api = textgraphs.DBPEDIA_SEARCH_API,\n", " dbpedia_sparql_api = textgraphs.DBPEDIA_SPARQL_API,\n", " \t\twikidata_api = textgraphs.WIKIDATA_API,\n", " min_alias = textgraphs.DBPEDIA_MIN_ALIAS,\n", " min_similarity = textgraphs.DBPEDIA_MIN_SIM,\n", " ),\n", " infer_rels = [\n", " \t\ttextgraphs.InferRel_OpenNRE(\n", " model = textgraphs.OPENNRE_MODEL,\n", " max_skip = textgraphs.MAX_SKIP,\n", " min_prob = textgraphs.OPENNRE_MIN_PROB,\n", " \t\t),\n", " textgraphs.InferRel_Rebel(\n", " lang = \"en_XX\",\n", " mrebel_model = textgraphs.MREBEL_MODEL,\n", " ),\n", " ],\n", " ),\n", ")\n", "\n", "pipe: textgraphs.Pipeline = tg.create_pipeline(\n", " SRC_TEXT.strip(),\n", ")" ] }, { "cell_type": "markdown", "id": "8b71b841-0cf5-4cc6-af4c-c85344b8f6c5", "metadata": {}, "source": [ "## visualize the parse results" ] }, { "cell_type": "code", "execution_count": 9, "id": "5901a49e-3f90-4061-9c3a-e9d1f05b40f3", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:10.892508Z", "iopub.status.busy": "2024-01-17T01:42:10.891377Z", "iopub.status.idle": "2024-01-17T01:42:10.925630Z", "shell.execute_reply": "2024-01-17T01:42:10.921355Z", "shell.execute_reply.started": "2024-01-17T01:42:10.892351Z" } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", " Werner Herzog\n", " PERSON\n", "\n", " is a remarkable filmmaker and an intellectual originally from \n", "\n", " Germany\n", " GPE\n", "\n", ", the son of \n", "\n", " Dietrich Herzog\n", " PERSON\n", "\n", ".
After the war, \n", "\n", " Werner\n", " PERSON\n", "\n", " fled to \n", "\n", " America\n", " GPE\n", "\n", " to become famous.
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "spacy.displacy.render(\n", " pipe.ner_doc,\n", " style = \"ent\",\n", " jupyter = True,\n", ")" ] }, { "cell_type": "code", "execution_count": 10, "id": "ffc0863d-5ed4-4857-aee1-96f26472f1ef", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:10.929432Z", "iopub.status.busy": "2024-01-17T01:42:10.928841Z", "iopub.status.idle": "2024-01-17T01:42:10.974738Z", "shell.execute_reply": "2024-01-17T01:42:10.973574Z", "shell.execute_reply.started": "2024-01-17T01:42:10.929374Z" } }, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", " Werner Herzog\n", " PROPN\n", "\n", "\n", "\n", " is\n", " AUX\n", "\n", "\n", "\n", " a\n", " DET\n", "\n", "\n", "\n", " remarkable\n", " ADJ\n", "\n", "\n", "\n", " filmmaker\n", " NOUN\n", "\n", "\n", "\n", " and\n", " CCONJ\n", "\n", "\n", "\n", " an\n", " DET\n", "\n", "\n", "\n", " intellectual\n", " NOUN\n", "\n", "\n", "\n", " originally\n", " ADV\n", "\n", "\n", "\n", " from\n", " ADP\n", "\n", "\n", "\n", " Germany,\n", " PROPN\n", "\n", "\n", "\n", " the\n", " DET\n", "\n", "\n", "\n", " son\n", " NOUN\n", "\n", "\n", "\n", " of\n", " ADP\n", "\n", "\n", "\n", " Dietrich Herzog.\n", " PUNCT\n", "\n", "\n", "\n", " \n", "\n", " SPACE\n", "\n", "\n", "\n", " After\n", " ADP\n", "\n", "\n", "\n", " the\n", " DET\n", "\n", "\n", "\n", " war,\n", " NOUN\n", "\n", "\n", "\n", " Werner\n", " PROPN\n", "\n", "\n", "\n", " fled\n", " VERB\n", "\n", "\n", "\n", " to\n", " ADP\n", "\n", "\n", "\n", " America\n", " PROPN\n", "\n", "\n", "\n", " to\n", " PART\n", "\n", "\n", "\n", " become\n", " VERB\n", "\n", "\n", "\n", " famous.\n", " ADJ\n", "\n", "\n", "\n", " \n", " \n", " nsubj\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " det\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " amod\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " attr\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " cc\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " det\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " conj\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " advmod\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " prep\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " pobj\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " det\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " appos\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " prep\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " punct\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " dep\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " prep\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " det\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " pobj\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " nsubj\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " prep\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " pobj\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " aux\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " advcl\n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " acomp\n", " \n", " \n", "\n", "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "parse_svg: str = spacy.displacy.render(\n", " pipe.ner_doc,\n", " style = \"dep\",\n", " jupyter = False,\n", ")\n", "\n", "display(SVG(parse_svg))" ] }, { "cell_type": "markdown", "id": "5e9de8e0-5a79-45f9-8c9d-6c68c560040e", "metadata": {}, "source": [ "## collect graph elements from the parse" ] }, { "cell_type": "code", "execution_count": 11, "id": "4d5abe40-d483-44f5-a747-92e0ac9c8b0d", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:10.978005Z", "iopub.status.busy": "2024-01-17T01:42:10.977288Z", "iopub.status.idle": "2024-01-17T01:42:10.985871Z", "shell.execute_reply": "2024-01-17T01:42:10.984706Z", "shell.execute_reply.started": "2024-01-17T01:42:10.977922Z" } }, "outputs": [], "source": [ "tg.collect_graph_elements(\n", " pipe,\n", " debug = False,\n", ")" ] }, { "cell_type": "code", "execution_count": 12, "id": "7c440db4-fc01-44ff-8d8d-03517cc1f1e4", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:10.989542Z", "iopub.status.busy": "2024-01-17T01:42:10.988271Z", "iopub.status.idle": "2024-01-17T01:42:11.551822Z", "shell.execute_reply": "2024-01-17T01:42:11.551011Z", "shell.execute_reply.started": "2024-01-17T01:42:10.989493Z" }, "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "ic| len(tg.nodes.values()): 36\n", "ic| len(tg.edges.values()): 42\n" ] } ], "source": [ "ic(len(tg.nodes.values()));\n", "ic(len(tg.edges.values()));" ] }, { "cell_type": "markdown", "id": "76caa0e6-351a-48e8-9e1f-94a31d612ee4", "metadata": {}, "source": [ "## perform entity linking" ] }, { "cell_type": "code", "execution_count": 13, "id": "6d23e215-9d8c-4e03-8040-fa9398fad62b", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:11.553477Z", "iopub.status.busy": "2024-01-17T01:42:11.553267Z", "iopub.status.idle": "2024-01-17T01:42:32.304619Z", "shell.execute_reply": "2024-01-17T01:42:32.302739Z", "shell.execute_reply.started": "2024-01-17T01:42:11.553444Z" } }, "outputs": [], "source": [ "tg.perform_entity_linking(\n", " pipe,\n", " debug = False,\n", ")" ] }, { "cell_type": "markdown", "id": "f7e31cf4-0f49-4fef-affa-04c9833a6236", "metadata": {}, "source": [ "## infer relations" ] }, { "cell_type": "code", "execution_count": 14, "id": "32bb75af-e806-4334-a876-127f2704ffbf", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:32.311135Z", "iopub.status.busy": "2024-01-17T01:42:32.310408Z", "iopub.status.idle": "2024-01-17T01:42:46.741855Z", "shell.execute_reply": "2024-01-17T01:42:46.740354Z", "shell.execute_reply.started": "2024-01-17T01:42:32.311083Z" } }, "outputs": [ { "data": { "text/plain": [ "[Edge(src_node=0, dst_node=10, kind=, rel='https://schema.org/nationality', prob=1.0, count=1),\n", " Edge(src_node=15, dst_node=0, kind=, rel='https://schema.org/children', prob=1.0, count=1),\n", " Edge(src_node=27, dst_node=22, kind=, rel='https://schema.org/event', prob=1.0, count=1)]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "inferred_edges: list = await tg.infer_relations_async(\n", " pipe,\n", " debug = False,\n", ")\n", "\n", "inferred_edges" ] }, { "cell_type": "markdown", "id": "76fa3fcb-6432-4ed5-80d1-569be4253e6e", "metadata": {}, "source": [ "## construct a lemma graph" ] }, { "cell_type": "code", "execution_count": 15, "id": "79efb0d1-dfc4-4f45-8c4e-b42a080832e7", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:46.744612Z", "iopub.status.busy": "2024-01-17T01:42:46.744082Z", "iopub.status.idle": "2024-01-17T01:42:46.752790Z", "shell.execute_reply": "2024-01-17T01:42:46.751990Z", "shell.execute_reply.started": "2024-01-17T01:42:46.744560Z" } }, "outputs": [], "source": [ "tg.construct_lemma_graph(\n", " debug = False,\n", ")" ] }, { "cell_type": "markdown", "id": "84a4b0c6-ebd5-4794-ac2d-ee191ab7ed0b", "metadata": {}, "source": [ "## extract ranked entities" ] }, { "cell_type": "code", "execution_count": 16, "id": "70134eb6-c1b4-474e-81cd-12b6b7f38afd", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:46.756709Z", "iopub.status.busy": "2024-01-17T01:42:46.754800Z", "iopub.status.idle": "2024-01-17T01:42:47.059654Z", "shell.execute_reply": "2024-01-17T01:42:47.058466Z", "shell.execute_reply.started": "2024-01-17T01:42:46.756630Z" }, "scrolled": true }, "outputs": [], "source": [ "tg.calc_phrase_ranks(\n", " pr_alpha = textgraphs.PAGERANK_ALPHA,\n", " debug = False,\n", ")" ] }, { "cell_type": "markdown", "id": "1ba5b734-665a-4bc0-9eca-11b2ba074fed", "metadata": {}, "source": [ "show the resulting entities extracted from the document" ] }, { "cell_type": "code", "execution_count": 17, "id": "a77a0ede-2225-47c1-8ea8-4ae2220aa086", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:47.062142Z", "iopub.status.busy": "2024-01-17T01:42:47.061624Z", "iopub.status.idle": "2024-01-17T01:42:47.098472Z", "shell.execute_reply": "2024-01-17T01:42:47.097234Z", "shell.execute_reply.started": "2024-01-17T01:42:47.062101Z" }, "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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1235the warnoun_chunkNone10.074606
\n", "
" ], "text/plain": [ " node_id text pos label count \\\n", "0 0 Werner Herzog PROPN dbr:Werner_Herzog 1 \n", "1 10 Germany PROPN dbr:Germany 1 \n", "2 15 Dietrich Herzog PROPN dbo:Person 1 \n", "3 27 America PROPN dbr:United_States 1 \n", "4 24 Werner PROPN dbo:Person 1 \n", "5 4 filmmaker NOUN owl:Thing 1 \n", "6 22 war NOUN owl:Thing 1 \n", "7 32 a remarkable filmmaker noun_chunk None 1 \n", "8 7 intellectual NOUN owl:Thing 1 \n", "9 13 son NOUN owl:Thing 1 \n", "10 33 an intellectual noun_chunk None 1 \n", "11 34 the son noun_chunk None 1 \n", "12 35 the war noun_chunk None 1 \n", "\n", " weight \n", "0 0.080547 \n", "1 0.080437 \n", "2 0.079048 \n", "3 0.079048 \n", "4 0.077633 \n", "5 0.076309 \n", "6 0.076309 \n", "7 0.076077 \n", "8 0.074725 \n", "9 0.074725 \n", "10 0.074606 \n", "11 0.074606 \n", "12 0.074606 " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df: pd.DataFrame = tg.get_phrases_as_df()\n", "df" ] }, { "cell_type": "markdown", "id": "3143955c-446a-4e6c-834c-583ab173f446", "metadata": {}, "source": [ "## visualize the lemma graph" ] }, { "cell_type": "code", "execution_count": 29, "id": "05b409af-14df-4158-9709-ffe2d79e864b", "metadata": { "execution": { "iopub.execute_input": "2024-01-24T17:26:10.024360Z", "iopub.status.busy": "2024-01-24T17:26:10.020502Z", "iopub.status.idle": "2024-01-24T17:26:10.321275Z", "shell.execute_reply": "2024-01-24T17:26:10.319871Z", "shell.execute_reply.started": "2024-01-24T17:26:10.024325Z" }, "scrolled": true }, "outputs": [], "source": [ "render: textgraphs.RenderPyVis = tg.create_render()\n", "\n", "pv_graph: pyvis.network.Network = render.render_lemma_graph(\n", " debug = False,\n", ")" ] }, { "cell_type": "markdown", "id": "7b5d3e88-6669-4df1-a20a-587cc6a7db12", "metadata": {}, "source": [ "initialize the layout parameters" ] }, { "cell_type": "code", "execution_count": 30, "id": "b212f5ed-03d6-439f-92ae-f2cbedb18609", "metadata": { "execution": { "iopub.execute_input": "2024-01-24T17:26:11.343717Z", "iopub.status.busy": "2024-01-24T17:26:11.343435Z", "iopub.status.idle": "2024-01-24T17:26:11.385195Z", "shell.execute_reply": "2024-01-24T17:26:11.379207Z", "shell.execute_reply.started": "2024-01-24T17:26:11.343691Z" } }, "outputs": [], "source": [ "pv_graph.force_atlas_2based(\n", " gravity = -38,\n", " central_gravity = 0.01,\n", " spring_length = 231,\n", " spring_strength = 0.7,\n", " damping = 0.8,\n", " overlap = 0,\n", ")\n", "\n", "pv_graph.show_buttons(filter_ = [ \"physics\" ])\n", "pv_graph.toggle_physics(True)" ] }, { "cell_type": "code", "execution_count": 31, "id": "2f952a7c-3130-49c9-b659-fb941e9e0bfe", "metadata": { "execution": { "iopub.execute_input": "2024-01-24T17:26:12.529172Z", "iopub.status.busy": "2024-01-24T17:26:12.528709Z", "iopub.status.idle": "2024-01-24T17:26:12.951605Z", "shell.execute_reply": "2024-01-24T17:26:12.915999Z", "shell.execute_reply.started": "2024-01-24T17:26:12.529144Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "tmp.fig01.html\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pv_graph.prep_notebook()\n", "pv_graph.show(\"tmp.fig01.html\")" ] }, { "cell_type": "markdown", "id": "dc6654c8-0a4c-4e62-8cfc-f49e33f81064", "metadata": {}, "source": [ "## generate a word cloud" ] }, { "cell_type": "code", "execution_count": 21, "id": "ba9543cd-b1e9-4f0a-930c-7a0a6ccb7f0a", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:47.192425Z", "iopub.status.busy": "2024-01-17T01:42:47.191808Z", "iopub.status.idle": "2024-01-17T01:42:47.414389Z", "shell.execute_reply": "2024-01-17T01:42:47.413720Z", "shell.execute_reply.started": "2024-01-17T01:42:47.192376Z" } }, "outputs": [ { "data": { "image/jpeg": 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", 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "wordcloud = render.generate_wordcloud()\n", "display(wordcloud.to_image())" ] }, { "cell_type": "markdown", "id": "9e55b207-16d2-488a-b89b-b6ea8aed0ad9", "metadata": {}, "source": [ "## cluster communities in the lemma graph" ] }, { "cell_type": "markdown", "id": "9bdcbe84-ae83-4fa6-91ad-3069b212dc72", "metadata": {}, "source": [ "In the tutorial\n", "\"How to Convert Any Text Into a Graph of Concepts\", \n", "Rahul Nayak uses the\n", "girvan-newman\n", "algorithm to split the graph into communities, then clusters on those communities.\n", "His approach works well for unsupervised clustering of key phrases which have been extracted from many documents.\n", "In contrast, Nayak was working with entities extracted from \"chunks\" of text, not with a text graph." ] }, { "cell_type": "code", "execution_count": 22, "id": "cd2d2f21-966e-40d6-8335-20dbfd8316ed", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:47.416003Z", "iopub.status.busy": "2024-01-17T01:42:47.415758Z", "iopub.status.idle": "2024-01-17T01:42:48.383920Z", "shell.execute_reply": "2024-01-17T01:42:48.383286Z", "shell.execute_reply.started": "2024-01-17T01:42:47.415969Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "render.draw_communities();" ] }, { "cell_type": "markdown", "id": "bb59d135-5b14-4841-ba76-89712017e4d6", "metadata": {}, "source": [ "## graph of relations transform" ] }, { "cell_type": "markdown", "id": "d751fa5e-e6ca-4de6-a3f3-c9f8acb43e5e", "metadata": {}, "source": [ "Show a transformed graph, based on _graph of relations_ (see: `lee2023ingram`)" ] }, { "cell_type": "code", "execution_count": 32, "id": "5ec1352a-f281-4965-b68d-3e86c0269f09", "metadata": { "execution": { "iopub.execute_input": "2024-01-24T17:27:02.399419Z", "iopub.status.busy": "2024-01-24T17:27:02.398846Z", "iopub.status.idle": "2024-01-24T17:27:02.528662Z", "shell.execute_reply": "2024-01-24T17:27:02.527016Z", "shell.execute_reply.started": "2024-01-24T17:27:02.399365Z" } }, "outputs": [], "source": [ "graph: textgraphs.GraphOfRelations = textgraphs.GraphOfRelations(\n", " tg\n", ")\n", "\n", "graph.seeds()\n", "graph.construct_gor()" ] }, { "cell_type": "code", "execution_count": 24, "id": "a1dc17f1-eaeb-469a-8593-76950d70cc95", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:48.395746Z", "iopub.status.busy": "2024-01-17T01:42:48.395315Z", "iopub.status.idle": "2024-01-17T01:42:48.444015Z", "shell.execute_reply": "2024-01-17T01:42:48.443074Z", "shell.execute_reply.started": "2024-01-17T01:42:48.395667Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "tmp.fig02.html\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "scores: typing.Dict[ tuple, float ] = graph.get_affinity_scores()\n", "pv_graph: pyvis.network.Network = graph.render_gor_pyvis(scores)\n", "\n", "pv_graph.force_atlas_2based(\n", " gravity = -38,\n", " central_gravity = 0.01,\n", " spring_length = 231,\n", " spring_strength = 0.7,\n", " damping = 0.8,\n", " overlap = 0,\n", ")\n", "\n", "pv_graph.show_buttons(filter_ = [ \"physics\" ])\n", "pv_graph.toggle_physics(True)\n", "\n", "pv_graph.prep_notebook()\n", "pv_graph.show(\"tmp.fig02.html\")" ] }, { "cell_type": "markdown", "id": "c191fde0-1093-4cdc-a3ea-86cc2bf394b8", "metadata": {}, "source": [ "*What does this transform provide?*\n", "\n", "By using a _graph of relations_ dual representation of our graph data, first and foremost we obtain a more compact representation of the relations in the graph, and means of making inferences (e.g., _link prediction_) where there is substantially more invariance in the training data.\n", "\n", "Also recognize that for a parse graph of a paragraph in the English language, the most interesting nodes will probably be either subjects (`nsubj`) or direct objects (`pobj`). Here in the _graph of relations_ we see illustrated how the important details from _entity linking_ tend to cluster near either `nsubj` or `pobj` entities, connected through punctuation. This is not as readily observed in the earlier visualization of the _lemma graph_." ] }, { "cell_type": "markdown", "id": "68ea1b7e-bed2-453b-b210-129ddb082e2f", "metadata": {}, "source": [ "## extract as RDF triples" ] }, { "cell_type": "markdown", "id": "ae76750c-feac-414d-8362-5ab92294c858", "metadata": {}, "source": [ "Extract the nodes and edges which have IRIs, to create an \"abstraction layer\" as a semantic graph at a higher level of detail above the _lemma graph_:" ] }, { "cell_type": "code", "execution_count": 25, "id": "d9036aec-7c38-4fd7-b2f5-4615bf95c643", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:48.446174Z", "iopub.status.busy": "2024-01-17T01:42:48.445378Z", "iopub.status.idle": "2024-01-17T01:42:48.478519Z", "shell.execute_reply": "2024-01-17T01:42:48.476893Z", "shell.execute_reply.started": "2024-01-17T01:42:48.446112Z" }, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "@base .\n", "@prefix dbo: .\n", "@prefix dbr: .\n", "@prefix schema: .\n", "@prefix skos: .\n", "@prefix wd_ent: .\n", "\n", "dbr:Germany skos:definition \"Germany (German: Deutschland, German pronunciation: [ˈdɔʏtʃlant]), constitutionally the Federal\"@en ;\n", " skos:prefLabel \"Germany\"@en .\n", "\n", "dbr:United_States skos:definition \"The United States of America (USA), commonly known as the United States (U.S. or US) or America\"@en ;\n", " skos:prefLabel \"United States\"@en .\n", "\n", "dbr:Werner_Herzog skos:definition \"Werner Herzog (German: [ˈvɛɐ̯nɐ ˈhɛɐ̯tsoːk]; born 5 September 1942) is a German film director\"@en ;\n", " skos:prefLabel \"Werner Herzog\"@en .\n", "\n", "wd_ent:Q183 skos:definition \"country in Central Europe\"@en ;\n", " skos:prefLabel \"Germany\"@en .\n", "\n", "wd_ent:Q44131 skos:definition \"German film director, producer, screenwriter, actor and opera director\"@en ;\n", " skos:prefLabel \"Werner Herzog\"@en .\n", "\n", " a dbo:Country ;\n", " skos:prefLabel \"America\"@en ;\n", " schema:event .\n", "\n", " a dbo:Person ;\n", " skos:prefLabel \"Dietrich Herzog\"@en ;\n", " schema:children .\n", "\n", " skos:prefLabel \"filmmaker\"@en .\n", "\n", " skos:prefLabel \"intellectual\"@en .\n", "\n", " skos:prefLabel \"son\"@en .\n", "\n", " a dbo:Person ;\n", " skos:prefLabel \"Werner\"@en .\n", "\n", " a dbo:Country ;\n", " skos:prefLabel \"Germany\"@en .\n", "\n", " skos:prefLabel \"war\"@en .\n", "\n", " a dbo:Person ;\n", " skos:prefLabel \"Werner Herzog\"@en ;\n", " schema:nationality .\n", "\n", "dbo:Country skos:definition \"Countries, cities, states\"@en ;\n", " skos:prefLabel \"country\"@en .\n", "\n", "dbo:Person skos:definition \"People, including fictional\"@en ;\n", " skos:prefLabel \"person\"@en .\n", "\n", "\n" ] } ], "source": [ "triples: str = tg.export_rdf()\n", "print(triples)" ] }, { "cell_type": "markdown", "id": "ff49fe28-e75f-4590-8b87-0d8962928cba", "metadata": {}, "source": [ "## statistical stack profile instrumentation" ] }, { "cell_type": "code", "execution_count": 26, "id": "af4ecb06-370f-4077-9899-29a1673e4768", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:48.482588Z", "iopub.status.busy": "2024-01-17T01:42:48.481127Z", "iopub.status.idle": "2024-01-17T01:42:48.493047Z", "shell.execute_reply": "2024-01-17T01:42:48.492253Z", "shell.execute_reply.started": "2024-01-17T01:42:48.482444Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "profiler.stop()" ] }, { "cell_type": "code", "execution_count": 27, "id": "d5ac2ce6-15b1-41ad-8215-8a5f76036cf1", "metadata": { "execution": { "iopub.execute_input": "2024-01-17T01:42:48.495272Z", "iopub.status.busy": "2024-01-17T01:42:48.494829Z", "iopub.status.idle": "2024-01-17T01:42:50.376362Z", "shell.execute_reply": "2024-01-17T01:42:50.375698Z", "shell.execute_reply.started": "2024-01-17T01:42:48.495244Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " _ ._ __/__ _ _ _ _ _/_ Recorded: 17:41:51 Samples: 11163\n", " /_//_/// /_\\ / //_// / //_'/ // Duration: 57.137 CPU time: 72.235\n", "/ _/ v4.6.1\n", "\n", "Program: /Users/paco/src/textgraphs/venv/lib/python3.10/site-packages/ipykernel_launcher.py -f /Users/paco/Library/Jupyter/runtime/kernel-8ffadb7d-3b45-4e0e-a94f-f098e5ad9fbe.json\n", "\n", "57.136 _UnixSelectorEventLoop._run_once asyncio/base_events.py:1832\n", "└─ 57.135 Handle._run asyncio/events.py:78\n", " [12 frames hidden] asyncio, ipykernel, IPython\n", " 41.912 ZMQInteractiveShell.run_ast_nodes IPython/core/interactiveshell.py:3394\n", " ├─ 20.701 ../ipykernel_5151/1245857438.py:1\n", " │ └─ 20.701 TextGraphs.perform_entity_linking textgraphs/doc.py:534\n", " │ └─ 20.701 KGWikiMedia.perform_entity_linking textgraphs/kg.py:306\n", " │ ├─ 10.790 KGWikiMedia._link_kg_search_entities textgraphs/kg.py:932\n", " │ │ └─ 10.787 KGWikiMedia.dbpedia_search_entity textgraphs/kg.py:641\n", " │ │ └─ 10.711 get requests/api.py:62\n", " │ │ [37 frames hidden] requests, urllib3, http, socket, ssl,...\n", " │ ├─ 9.143 KGWikiMedia._link_spotlight_entities textgraphs/kg.py:851\n", " │ │ └─ 9.140 KGWikiMedia.dbpedia_search_entity textgraphs/kg.py:641\n", " │ │ └─ 9.095 get requests/api.py:62\n", " │ │ [37 frames hidden] requests, urllib3, http, socket, ssl,...\n", " │ └─ 0.768 KGWikiMedia._secondary_entity_linking textgraphs/kg.py:1060\n", " │ └─ 0.768 KGWikiMedia.wikidata_search textgraphs/kg.py:575\n", " │ └─ 0.765 KGWikiMedia._wikidata_endpoint textgraphs/kg.py:444\n", " │ └─ 0.765 get requests/api.py:62\n", " │ [7 frames hidden] requests, urllib3\n", " └─ 19.514 ../ipykernel_5151/1708547378.py:1\n", " ├─ 14.502 InferRel_Rebel.__init__ textgraphs/rel.py:121\n", " │ └─ 14.338 pipeline transformers/pipelines/__init__.py:531\n", " │ [39 frames hidden] transformers, torch, , json\n", " ├─ 3.437 PipelineFactory.__init__ textgraphs/pipe.py:434\n", " │ └─ 3.420 load spacy/__init__.py:27\n", " │ [20 frames hidden] spacy, en_core_web_sm, catalogue, imp...\n", " ├─ 0.900 InferRel_OpenNRE.__init__ textgraphs/rel.py:33\n", " │ └─ 0.888 get_model opennre/pretrain.py:126\n", " └─ 0.672 TextGraphs.create_pipeline textgraphs/doc.py:103\n", " └─ 0.672 PipelineFactory.create_pipeline textgraphs/pipe.py:508\n", " └─ 0.672 Pipeline.__init__ textgraphs/pipe.py:216\n", " └─ 0.672 English.__call__ spacy/language.py:1016\n", " [11 frames hidden] spacy, spacy_dbpedia_spotlight, reque...\n", " 14.363 InferRel_Rebel.gen_triples_async textgraphs/pipe.py:188\n", " ├─ 13.670 InferRel_Rebel.gen_triples textgraphs/rel.py:259\n", " │ ├─ 12.439 InferRel_Rebel.tokenize_sent textgraphs/rel.py:145\n", " │ │ └─ 12.436 TranslationPipeline.__call__ transformers/pipelines/text2text_generation.py:341\n", " │ │ [42 frames hidden] transformers, torch, \n", " │ └─ 1.231 KGWikiMedia.resolve_rel_iri textgraphs/kg.py:370\n", " │ └─ 0.753 get_entity_dict_from_api qwikidata/linked_data_interface.py:21\n", " │ [8 frames hidden] qwikidata, requests, urllib3\n", " └─ 0.693 InferRel_OpenNRE.gen_triples textgraphs/rel.py:58\n", "\n", "\n" ] } ], "source": [ "profiler.print()" ] }, { "cell_type": "markdown", "id": "c47bcfd2-2bd6-49a5-8f1a-102d90edde39", "metadata": { "jp-MarkdownHeadingCollapsed": true }, "source": [ "## outro" ] }, { "cell_type": "markdown", "id": "68bea4f9-aec2-4b28-8f08-a4034851d066", "metadata": {}, "source": [ "_\\[ more parts are in progress, getting added to this demo \\]_" ] } ], "metadata": { "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": "3.10.11" } }, "nbformat": 4, "nbformat_minor": 5 }