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|
#include "generator.h"
#include <stdexcept>
#include <iostream>
#include <regex>
#include <dirent.h>
#include <fstream>
#include <hkutil/string.h>
#include <hkutil/progress.h>
#include "role.h"
#include "part.h"
#include "../lib/enums.h"
#include "../lib/version.h"
namespace verbly {
namespace generator {
generator::generator(
std::string verbNetPath,
std::string agidPath,
std::string wordNetPath,
std::string cmudictPath,
std::string imageNetPath,
std::string outputPath) :
verbNetPath_(verbNetPath),
agidPath_(agidPath),
wordNetPath_(wordNetPath),
cmudictPath_(cmudictPath),
imageNetPath_(imageNetPath),
db_(outputPath, hatkirby::dbmode::create)
{
// Ensure VerbNet directory exists
DIR* dir;
if ((dir = opendir(verbNetPath_.c_str())) == nullptr)
{
throw std::invalid_argument("Invalid VerbNet data directory");
}
closedir(dir);
// Ensure AGID infl.txt exists
if (!std::ifstream(agidPath_))
{
throw std::invalid_argument("AGID infl.txt file not found");
}
// Add directory separator to WordNet path
if ((wordNetPath_.back() != '/') && (wordNetPath_.back() != '\\'))
{
wordNetPath_ += '/';
}
// Ensure WordNet tables exist
for (std::string table : {
"s", "sk", "ant", "at", "cls", "hyp", "ins", "mm", "mp", "ms", "per",
"sa", "sim", "syntax"
})
{
if (!std::ifstream(wordNetPath_ + "wn_" + table + ".pl"))
{
throw std::invalid_argument("WordNet " + table + " table not found");
}
}
// Ensure CMUDICT file exists
if (!std::ifstream(cmudictPath_))
{
throw std::invalid_argument("CMUDICT file not found");
}
// Ensure ImageNet urls.txt exists
if (!std::ifstream(imageNetPath_))
{
throw std::invalid_argument("ImageNet urls.txt file not found");
}
}
void generator::run()
{
// Create notions, words, lemmas, and forms from WordNet synsets
readWordNetSynsets();
// Reads adjective positioning WordNet data
readAdjectivePositioning();
// Counts the number of URLs ImageNet has per notion
readImageNetUrls();
// Creates a word by WordNet sense key lookup table
readWordNetSenseKeys();
// Creates groups and frames from VerbNet data
readVerbNet();
// Creates forms and inflections from AGID. To reduce the amount of forms
// created, we do this after most lemmas that need inflecting have been
// created through other means, and then only generate forms for
// inflections of already-existing lemmas. The exception to this regards
// verb lemmas. If a verb lemma in AGID either does not exist yet, or does
// exist but is not related to any words that are related to verb notions,
// then a notion and a word is generated and the form generation proceeds
// as usual.
readAgidInflections();
// Reads in prepositions and the is_a relationship
readPrepositions();
// Creates pronunciations from CMUDICT. To reduce the amount of
// pronunciations created, we do this after all forms have been created,
// and then only generate pronunciations for already-exisiting forms.
readCmudictPronunciations();
// Writes the database schema
writeSchema();
// Writes the database version
writeVersion();
// Dumps data to the database
dumpObjects();
// Populates the antonymy relationship from WordNet
readWordNetAntonymy();
// Populates the variation relationship from WordNet
readWordNetVariation();
// Populates the usage, topicality, and regionality relationships from
// WordNet
readWordNetClasses();
// Populates the causality relationship from WordNet
readWordNetCausality();
// Populates the entailment relationship from WordNet
readWordNetEntailment();
// Populates the hypernymy relationship from WordNet
readWordNetHypernymy();
// Populates the instantiation relationship from WordNet
readWordNetInstantiation();
// Populates the member meronymy relationship from WordNet
readWordNetMemberMeronymy();
// Populates the part meronymy relationship from WordNet
readWordNetPartMeronymy();
// Populates the substance meronymy relationship from WordNet
readWordNetSubstanceMeronymy();
// Populates the pertainymy and mannernymy relationships from WordNet
readWordNetPertainymy();
// Populates the specification relationship from WordNet
readWordNetSpecification();
// Populates the adjective similarity relationship from WordNet
readWordNetSimilarity();
// Generates analysis data to assist in query planning.
analyzeDatabase();
}
void generator::readWordNetSynsets()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_s.pl"));
hatkirby::progress ppgs("Reading synsets from WordNet...", lines.size());
for (std::string line : lines)
{
ppgs.update();
std::regex relation(
"^s\\(([1234]\\d{8}),(\\d+),'(.+)',\\w,\\d+,(\\d+)\\)\\.$");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int synset_id = std::stoi(relation_data[1]);
int wnum = std::stoi(relation_data[2]);
std::string text = relation_data[3];
int tag_count = std::stoi(relation_data[4]);
size_t word_it;
while ((word_it = text.find("''")) != std::string::npos)
{
text.erase(word_it, 1);
}
// The WordNet data does contain duplicates, so we need to check that we
// haven't already created this word.
std::pair<int, int> lookup(synset_id, wnum);
if (!wordByWnidAndWnum_.count(lookup))
{
notion& synset = lookupOrCreateNotion(synset_id);
lemma& lex = lookupOrCreateLemma(text);
word& entry = createWord(synset, lex, tag_count);
wordByWnidAndWnum_[lookup] = &entry;
}
}
}
void generator::readAdjectivePositioning()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_syntax.pl"));
hatkirby::progress ppgs(
"Reading adjective positionings from WordNet...",
lines.size());
for (std::string line : lines)
{
ppgs.update();
std::regex relation("^syntax\\((3\\d{8}),(\\d+),([ipa])p?\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int synset_id = stoi(relation_data[1]);
int wnum = stoi(relation_data[2]);
std::string adjpos_str = relation_data[3];
std::pair<int, int> lookup(synset_id, wnum);
if (wordByWnidAndWnum_.count(lookup))
{
word& adj = *wordByWnidAndWnum_.at(lookup);
if (adjpos_str == "p")
{
adj.setAdjectivePosition(positioning::predicate);
} else if (adjpos_str == "a")
{
adj.setAdjectivePosition(positioning::attributive);
} else if (adjpos_str == "i")
{
adj.setAdjectivePosition(positioning::postnominal);
} else {
throw std::logic_error("adjpos_str invalid");
}
}
}
}
void generator::readImageNetUrls()
{
// The ImageNet datafile is so large that it is unreasonable and
// unnecessary to read it into memory; instead, we will parse each line as
// we read it. This has the caveat that we cannot display a progress bar.
std::cout << "Reading image counts from ImageNet..." << std::endl;
std::ifstream file(imageNetPath_);
if (!file)
{
throw std::invalid_argument("Could not find file " + imageNetPath_);
}
std::string line;
while (std::getline(file, line))
{
if (line.back() == '\r')
{
line.pop_back();
}
std::string wnid_s = line.substr(1, 8);
int wnid = stoi(wnid_s) + 100000000;
if (notionByWnid_.count(wnid))
{
// We know that this notion has a wnid and is a noun.
notionByWnid_.at(wnid)->incrementNumOfImages();
}
}
}
void generator::readWordNetSenseKeys()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_sk.pl"));
hatkirby::progress ppgs(
"Reading sense keys from WordNet...",
lines.size());
for (std::string line : lines)
{
ppgs.update();
// We only actually need to lookup verbs by sense key so we'll just
// ignore everything that isn't a verb.
std::regex relation("^sk\\((2\\d{8}),(\\d+),'(.+)'\\)\\.$");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int synset_id = stoi(relation_data[1]);
int wnum = stoi(relation_data[2]);
std::string sense_key = relation_data[3];
// We are treating this mapping as injective, which is not entirely
// accurate. First, the WordNet table contains duplicate rows, so those
// need to be ignored. More importantly, a small number of sense keys
// (one for each letter of the Latin alphabet, plus 9 other words) each
// map to two different words in the same synset which differ only by
// capitalization. Luckily, none of these exceptions are verbs, so we
// can pretend that the mapping is injective.
if (!wnSenseKeys_.count(sense_key))
{
std::pair<int, int> lookup(synset_id, wnum);
if (wordByWnidAndWnum_.count(lookup))
{
wnSenseKeys_[sense_key] = wordByWnidAndWnum_.at(lookup);
}
}
}
}
void generator::readVerbNet()
{
std::cout << "Reading frames from VerbNet..." << std::endl;
DIR* dir;
if ((dir = opendir(verbNetPath_.c_str())) == nullptr)
{
throw std::invalid_argument("Invalid VerbNet data directory");
}
struct dirent* ent;
while ((ent = readdir(dir)) != nullptr)
{
std::string filename(verbNetPath_);
if (filename.back() != '/')
{
filename += '/';
}
filename += ent->d_name;
if (filename.rfind(".xml") != filename.size() - 4)
{
continue;
}
xmlDocPtr doc = xmlParseFile(filename.c_str());
if (doc == nullptr)
{
throw std::logic_error("Error opening " + filename);
}
xmlNodePtr top = xmlDocGetRootElement(doc);
if ((top == nullptr) ||
(xmlStrcmp(top->name, reinterpret_cast<const xmlChar*>("VNCLASS"))))
{
throw std::logic_error("Bad VerbNet file format: " + filename);
}
try
{
createGroup(top);
} catch (const std::exception& e)
{
std::throw_with_nested(
std::logic_error("Error parsing VerbNet file: " + filename));
}
}
closedir(dir);
}
void generator::readAgidInflections()
{
std::list<std::string> lines(readFile(agidPath_));
hatkirby::progress ppgs("Reading inflections from AGID...", lines.size());
for (std::string line : lines)
{
ppgs.update();
int divider = line.find_first_of(" ");
std::string infinitive = line.substr(0, divider);
line = line.substr(divider+1);
char type = line[0];
if (line[1] == '?')
{
line.erase(0, 4);
} else {
line.erase(0, 3);
}
if (!lemmaByBaseForm_.count(infinitive) && (type != 'V'))
{
continue;
}
lemma& curLemma = lookupOrCreateLemma(infinitive);
auto inflWordList =
hatkirby::split<std::list<std::string>>(line, " | ");
std::vector<std::list<std::string>> agidForms;
for (std::string inflForms : inflWordList)
{
auto inflFormList =
hatkirby::split<std::list<std::string>>(std::move(inflForms), ", ");
std::list<std::string> forms;
for (std::string inflForm : inflFormList)
{
int sympos = inflForm.find_first_of("~<!? ");
if (sympos != std::string::npos)
{
inflForm = inflForm.substr(0, sympos);
}
forms.push_back(std::move(inflForm));
}
agidForms.push_back(std::move(forms));
}
std::map<inflection, std::list<std::string>> mappedForms;
switch (type)
{
case 'V':
{
if (agidForms.size() == 4)
{
mappedForms[inflection::past_tense] = agidForms[0];
mappedForms[inflection::past_participle] = agidForms[1];
mappedForms[inflection::ing_form] = agidForms[2];
mappedForms[inflection::s_form] = agidForms[3];
} else if (agidForms.size() == 3)
{
mappedForms[inflection::past_tense] = agidForms[0];
mappedForms[inflection::past_participle] = agidForms[0];
mappedForms[inflection::ing_form] = agidForms[1];
mappedForms[inflection::s_form] = agidForms[2];
} else if (agidForms.size() == 8)
{
// As of AGID 2014.08.11, this is only "to be"
mappedForms[inflection::past_tense] = agidForms[0];
mappedForms[inflection::past_participle] = agidForms[2];
mappedForms[inflection::ing_form] = agidForms[3];
mappedForms[inflection::s_form] = agidForms[4];
} else {
// Words that don't fit the cases above as of AGID 2014.08.11:
// - may and shall do not conjugate the way we want them to
// - methinks only has a past tense and is an outlier
// - wit has five forms, and is archaic/obscure enough that we can ignore it for now
std::cout << " Ignoring verb \"" << infinitive
<< "\" due to non-standard number of forms." << std::endl;
}
// For verbs in particular, we sometimes create a notion and a word
// from inflection data. Specifically, if there are not yet any
// verbs existing that have the same infinitive form. "Yet" means
// that this verb appears in the AGID data but not in either WordNet
// or VerbNet.
if (!wordsByBaseForm_.count(infinitive)
|| !std::any_of(
std::begin(wordsByBaseForm_.at(infinitive)),
std::end(wordsByBaseForm_.at(infinitive)),
[] (word* w) {
return (w->getNotion().getPartOfSpeech() ==
part_of_speech::verb);
}))
{
notion& n = createNotion(part_of_speech::verb);
createWord(n, curLemma);
}
break;
}
case 'A':
{
if (agidForms.size() == 2)
{
mappedForms[inflection::comparative] = agidForms[0];
mappedForms[inflection::superlative] = agidForms[1];
} else {
// As of AGID 2014.08.11, this is only "only", which has only the form "onliest"
std::cout << " Ignoring adjective/adverb \"" << infinitive
<< "\" due to non-standard number of forms." << std::endl;
}
break;
}
case 'N':
{
if (agidForms.size() == 1)
{
mappedForms[inflection::plural] = agidForms[0];
} else {
// As of AGID 2014.08.11, this is non-existent.
std::cout << " Ignoring noun \"" << infinitive
<< "\" due to non-standard number of forms." << std::endl;
}
break;
}
}
// Compile the forms we have mapped.
for (auto mapping : std::move(mappedForms))
{
for (std::string infl : std::move(mapping.second))
{
curLemma.addInflection(
mapping.first,
lookupOrCreateForm(std::move(infl)));
}
}
}
}
void generator::readPrepositions()
{
std::list<std::string> lines(readFile("prepositions.txt"));
hatkirby::progress ppgs("Reading prepositions...", lines.size());
for (std::string line : lines)
{
ppgs.update();
std::regex relation("^([^:]+): (.+)");
std::smatch relation_data;
std::regex_search(line, relation_data, relation);
std::string prep = relation_data[1];
auto groups =
hatkirby::split<std::list<std::string>>(relation_data[2], ", ");
notion& n = createNotion(part_of_speech::preposition);
lemma& l = lookupOrCreateLemma(prep);
word& w = createWord(n, l);
n.setPrepositionGroups(groups);
}
}
void generator::readCmudictPronunciations()
{
std::list<std::string> lines(readFile(cmudictPath_));
hatkirby::progress ppgs(
"Reading pronunciations from CMUDICT...",
lines.size());
for (std::string line : lines)
{
ppgs.update();
std::regex phoneme("([A-Z][^ \\(]*)(?:\\(\\d+\\))? ([A-Z 0-9]+)");
std::smatch phoneme_data;
if (std::regex_search(line, phoneme_data, phoneme))
{
std::string canonical = hatkirby::lowercase(phoneme_data[1]);
if (!formByText_.count(canonical))
{
continue;
}
std::string phonemes = phoneme_data[2];
if (pronunciationByPhonemes_.count(phonemes)) {
pronunciation& p = *pronunciationByPhonemes_[phonemes];
formByText_.at(canonical)->addPronunciation(p);
} else {
pronunciations_.emplace_back(phonemes);
pronunciation& p = pronunciations_.back();
pronunciationByPhonemes_[phonemes] = &p;
formByText_.at(canonical)->addPronunciation(p);
}
}
}
}
void generator::writeSchema()
{
std::ifstream file("schema.sql");
if (!file)
{
throw std::invalid_argument("Could not find database schema");
}
std::ostringstream schemaBuilder;
std::string line;
while (std::getline(file, line))
{
if (line.back() == '\r')
{
line.pop_back();
}
schemaBuilder << line;
}
std::string schema = schemaBuilder.str();
auto queries = hatkirby::split<std::list<std::string>>(schema, ";");
hatkirby::progress ppgs("Writing database schema...", queries.size());
for (std::string query : queries)
{
if (!queries.empty())
{
db_.execute(query);
}
ppgs.update();
}
}
void generator::writeVersion()
{
db_.insertIntoTable(
"version",
{
{ "major", DATABASE_MAJOR_VERSION },
{ "minor", DATABASE_MINOR_VERSION }
});
}
void generator::dumpObjects()
{
{
hatkirby::progress ppgs("Writing notions...", notions_.size());
for (notion& n : notions_)
{
db_ << n;
ppgs.update();
}
}
{
hatkirby::progress ppgs("Writing words...", words_.size());
for (word& w : words_)
{
db_ << w;
ppgs.update();
}
}
{
hatkirby::progress ppgs("Writing lemmas...", lemmas_.size());
for (lemma& l : lemmas_)
{
db_ << l;
ppgs.update();
}
}
{
hatkirby::progress ppgs("Writing forms...", forms_.size());
for (form& f : forms_)
{
db_ << f;
ppgs.update();
}
}
{
hatkirby::progress ppgs("Writing pronunciations...", pronunciations_.size());
for (pronunciation& p : pronunciations_)
{
db_ << p;
ppgs.update();
}
}
{
hatkirby::progress ppgs("Writing verb frames...", groups_.size());
for (group& g : groups_)
{
db_ << g;
ppgs.update();
}
}
}
void generator::readWordNetAntonymy()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_ant.pl", true));
hatkirby::progress ppgs("Writing antonyms...", lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation(
"^ant\\(([134]\\d{8}),(\\d+),([134]\\d{8}),(\\d+)\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
std::pair<int, int> lookup1(
std::stoi(relation_data[1]),
std::stoi(relation_data[2]));
std::pair<int, int> lookup2(
std::stoi(relation_data[3]),
std::stoi(relation_data[4]));
if (wordByWnidAndWnum_.count(lookup1) &&
wordByWnidAndWnum_.count(lookup2))
{
word& word1 = *wordByWnidAndWnum_.at(lookup1);
word& word2 = *wordByWnidAndWnum_.at(lookup2);
db_.insertIntoTable(
"antonymy",
{
{ "antonym_1_id", word1.getId() },
{ "antonym_2_id", word2.getId() }
});
}
}
}
void generator::readWordNetVariation()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_at.pl"));
hatkirby::progress ppgs("Writing variation...", lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation("^at\\((1\\d{8}),(3\\d{8})\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int lookup1 = std::stoi(relation_data[1]);
int lookup2 = std::stoi(relation_data[2]);
if (notionByWnid_.count(lookup1) && notionByWnid_.count(lookup2))
{
notion& notion1 = *notionByWnid_.at(lookup1);
notion& notion2 = *notionByWnid_.at(lookup2);
db_.insertIntoTable(
"variation",
{
{ "noun_id", notion1.getId() },
{ "adjective_id", notion2.getId() }
});
}
}
}
void generator::readWordNetClasses()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_cls.pl", true));
hatkirby::progress ppgs(
"Writing usage, topicality, and regionality...",
lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation(
"^cls\\(([134]\\d{8}),(\\d+),(1\\d{8}),(\\d+),([tur])\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
std::pair<int, int> lookup1(
std::stoi(relation_data[1]),
std::stoi(relation_data[2]));
std::pair<int, int> lookup2(
std::stoi(relation_data[3]),
std::stoi(relation_data[4]));
std::string class_type = relation_data[5];
std::string table_name;
if (class_type == "t")
{
table_name += "topicality";
} else if (class_type == "u")
{
table_name += "usage";
} else if (class_type == "r")
{
table_name += "regionality";
}
std::list<int> leftJoin;
std::list<int> rightJoin;
if ((lookup1.second == 0) && (wordsByWnid_.count(lookup1.first)))
{
auto& wordSet = wordsByWnid_.at(lookup1.first);
std::transform(
std::begin(wordSet),
std::end(wordSet),
std::back_inserter(leftJoin),
[] (word* w) {
return w->getId();
});
} else if (wordByWnidAndWnum_.count(lookup1)) {
leftJoin.push_back(wordByWnidAndWnum_.at(lookup1)->getId());
}
if ((lookup2.second == 0) && (wordsByWnid_.count(lookup2.first)))
{
auto& wordSet = wordsByWnid_.at(lookup2.first);
std::transform(
std::begin(wordSet),
std::end(wordSet),
std::back_inserter(rightJoin),
[] (word* w) {
return w->getId();
});
} else if (wordByWnidAndWnum_.count(lookup2)) {
rightJoin.push_back(wordByWnidAndWnum_.at(lookup2)->getId());
}
for (int word1 : leftJoin)
{
for (int word2 : rightJoin)
{
db_.insertIntoTable(
table_name,
{
{ "term_id", word1 },
{ "domain_id", word2 }
});
}
}
}
}
void generator::readWordNetCausality()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_cs.pl"));
hatkirby::progress ppgs("Writing causality...", lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation("^cs\\((2\\d{8}),(2\\d{8})\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int lookup1 = std::stoi(relation_data[1]);
int lookup2 = std::stoi(relation_data[2]);
if (notionByWnid_.count(lookup1) && notionByWnid_.count(lookup2))
{
notion& notion1 = *notionByWnid_.at(lookup1);
notion& notion2 = *notionByWnid_.at(lookup2);
db_.insertIntoTable(
"causality",
{
{ "effect_id", notion1.getId() },
{ "cause_id", notion2.getId() }
});
}
}
}
void generator::readWordNetEntailment()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_ent.pl"));
hatkirby::progress ppgs("Writing entailment...", lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation("^ent\\((2\\d{8}),(2\\d{8})\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int lookup1 = std::stoi(relation_data[1]);
int lookup2 = std::stoi(relation_data[2]);
if (notionByWnid_.count(lookup1) && notionByWnid_.count(lookup2))
{
notion& notion1 = *notionByWnid_.at(lookup1);
notion& notion2 = *notionByWnid_.at(lookup2);
db_.insertIntoTable(
"entailment",
{
{ "given_id", notion1.getId() },
{ "entailment_id", notion2.getId() }
});
}
}
}
void generator::readWordNetHypernymy()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_hyp.pl"));
hatkirby::progress ppgs("Writing hypernymy...", lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation("^hyp\\(([12]\\d{8}),([12]\\d{8})\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int lookup1 = std::stoi(relation_data[1]);
int lookup2 = std::stoi(relation_data[2]);
if (notionByWnid_.count(lookup1) && notionByWnid_.count(lookup2))
{
notion& notion1 = *notionByWnid_.at(lookup1);
notion& notion2 = *notionByWnid_.at(lookup2);
db_.insertIntoTable(
"hypernymy",
{
{ "hyponym_id", notion1.getId() },
{ "hypernym_id", notion2.getId() }
});
}
}
}
void generator::readWordNetInstantiation()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_ins.pl"));
hatkirby::progress ppgs("Writing instantiation...", lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation("^ins\\((1\\d{8}),(1\\d{8})\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int lookup1 = std::stoi(relation_data[1]);
int lookup2 = std::stoi(relation_data[2]);
if (notionByWnid_.count(lookup1) && notionByWnid_.count(lookup2))
{
notion& notion1 = *notionByWnid_.at(lookup1);
notion& notion2 = *notionByWnid_.at(lookup2);
db_.insertIntoTable(
"instantiation",
{
{ "instance_id", notion1.getId() },
{ "class_id", notion2.getId() }
});
}
}
}
void generator::readWordNetMemberMeronymy()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_mm.pl"));
hatkirby::progress ppgs("Writing member meronymy...", lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation("^mm\\((1\\d{8}),(1\\d{8})\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int lookup1 = std::stoi(relation_data[1]);
int lookup2 = std::stoi(relation_data[2]);
if (notionByWnid_.count(lookup1) && notionByWnid_.count(lookup2))
{
notion& notion1 = *notionByWnid_.at(lookup1);
notion& notion2 = *notionByWnid_.at(lookup2);
db_.insertIntoTable(
"member_meronymy",
{
{ "holonym_id", notion1.getId() },
{ "meronym_id", notion2.getId() }
});
}
}
}
void generator::readWordNetPartMeronymy()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_mp.pl"));
hatkirby::progress ppgs("Writing part meronymy...", lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation("^mp\\((1\\d{8}),(1\\d{8})\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int lookup1 = std::stoi(relation_data[1]);
int lookup2 = std::stoi(relation_data[2]);
if (notionByWnid_.count(lookup1) && notionByWnid_.count(lookup2))
{
notion& notion1 = *notionByWnid_.at(lookup1);
notion& notion2 = *notionByWnid_.at(lookup2);
db_.insertIntoTable(
"part_meronymy",
{
{ "holonym_id", notion1.getId() },
{ "meronym_id", notion2.getId() }
});
}
}
}
void generator::readWordNetSubstanceMeronymy()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_ms.pl"));
hatkirby::progress ppgs("Writing substance meronymy...", lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation("^ms\\((1\\d{8}),(1\\d{8})\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int lookup1 = std::stoi(relation_data[1]);
int lookup2 = std::stoi(relation_data[2]);
if (notionByWnid_.count(lookup1) && notionByWnid_.count(lookup2))
{
notion& notion1 = *notionByWnid_.at(lookup1);
notion& notion2 = *notionByWnid_.at(lookup2);
db_.insertIntoTable(
"substance_meronymy",
{
{ "holonym_id", notion1.getId() },
{ "meronym_id", notion2.getId() }
});
}
}
}
void generator::readWordNetPertainymy()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_per.pl", true));
hatkirby::progress ppgs(
"Writing pertainymy and mannernymy...",
lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation(
"^per\\(([34]\\d{8}),(\\d+),([13]\\d{8}),(\\d+)\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
std::pair<int, int> lookup1(
std::stoi(relation_data[1]),
std::stoi(relation_data[2]));
std::pair<int, int> lookup2(
std::stoi(relation_data[3]),
std::stoi(relation_data[4]));
if (wordByWnidAndWnum_.count(lookup1) &&
wordByWnidAndWnum_.count(lookup2))
{
word& word1 = *wordByWnidAndWnum_.at(lookup1);
word& word2 = *wordByWnidAndWnum_.at(lookup2);
if (word1.getNotion().getPartOfSpeech() ==
part_of_speech::adjective)
{
db_.insertIntoTable(
"pertainymy",
{
{ "pertainym_id", word1.getId() },
{ "noun_id", word2.getId() }
});
} else if (word1.getNotion().getPartOfSpeech() ==
part_of_speech::adverb)
{
db_.insertIntoTable(
"mannernymy",
{
{ "mannernym_id", word1.getId() },
{ "adjective_id", word2.getId() }
});
}
}
}
}
void generator::readWordNetSpecification()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_sa.pl"));
hatkirby::progress ppgs("Writing specifications...", lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation("^sa\\((23\\d{8}),(\\d+),(23\\d{8}),(\\d+)\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
std::pair<int, int> lookup1(
std::stoi(relation_data[1]),
std::stoi(relation_data[2]));
std::pair<int, int> lookup2(
std::stoi(relation_data[3]),
std::stoi(relation_data[4]));
if (wordByWnidAndWnum_.count(lookup1) &&
wordByWnidAndWnum_.count(lookup2))
{
word& word1 = *wordByWnidAndWnum_.at(lookup1);
word& word2 = *wordByWnidAndWnum_.at(lookup2);
db_.insertIntoTable(
"specification",
{
{ "general_id", word1.getId() },
{ "specific_id", word2.getId() }
});
}
}
}
void generator::readWordNetSimilarity()
{
std::list<std::string> lines(readFile(wordNetPath_ + "wn_sim.pl"));
hatkirby::progress ppgs("Writing adjective similarity...", lines.size());
for (auto line : lines)
{
ppgs.update();
std::regex relation("^sim\\((3\\d{8}),(3\\d{8})\\)\\.");
std::smatch relation_data;
if (!std::regex_search(line, relation_data, relation))
{
continue;
}
int lookup1 = std::stoi(relation_data[1]);
int lookup2 = std::stoi(relation_data[2]);
if (notionByWnid_.count(lookup1) && notionByWnid_.count(lookup2))
{
notion& notion1 = *notionByWnid_.at(lookup1);
notion& notion2 = *notionByWnid_.at(lookup2);
db_.insertIntoTable(
"similarity",
{
{ "adjective_1_id", notion1.getId() },
{ "adjective_2_id", notion2.getId() }
});
}
}
}
void generator::analyzeDatabase()
{
std::cout << "Analyzing data..." << std::endl;
db_.execute("ANALYZE");
}
std::list<std::string> generator::readFile(std::string path, bool uniq)
{
std::ifstream file(path);
if (!file)
{
throw std::invalid_argument("Could not find file " + path);
}
std::list<std::string> lines;
std::string line;
while (std::getline(file, line))
{
if (line.back() == '\r')
{
line.pop_back();
}
lines.push_back(line);
}
if (uniq)
{
std::vector<std::string> uniq(std::begin(lines), std::end(lines));
lines.clear();
std::sort(std::begin(uniq), std::end(uniq));
std::unique_copy(
std::begin(uniq),
std::end(uniq),
std::back_inserter(lines));
}
return lines;
}
part_of_speech generator::partOfSpeechByWnid(int wnid)
{
switch (wnid / 100000000)
{
case 1: return part_of_speech::noun;
case 2: return part_of_speech::verb;
case 3: return part_of_speech::adjective;
case 4: return part_of_speech::adverb;
default: throw std::domain_error(
"Invalid WordNet synset ID: " + std::to_string(wnid));
}
}
notion& generator::createNotion(part_of_speech partOfSpeech)
{
notions_.emplace_back(partOfSpeech);
return notions_.back();
}
notion& generator::lookupOrCreateNotion(int wnid)
{
if (!notionByWnid_.count(wnid))
{
notions_.emplace_back(partOfSpeechByWnid(wnid), wnid);
notionByWnid_[wnid] = ¬ions_.back();
}
return *notionByWnid_.at(wnid);
}
lemma& generator::lookupOrCreateLemma(std::string base_form)
{
if (!lemmaByBaseForm_.count(base_form))
{
lemmas_.emplace_back(lookupOrCreateForm(base_form));
lemmaByBaseForm_[base_form] = &lemmas_.back();
}
return *lemmaByBaseForm_.at(base_form);
}
form& generator::lookupOrCreateForm(std::string text)
{
if (!formByText_.count(text))
{
forms_.emplace_back(text);
formByText_[text] = &forms_.back();
}
return *formByText_[text];
}
template <typename... Args> word& generator::createWord(Args&&... args)
{
words_.emplace_back(std::forward<Args>(args)...);
word& w = words_.back();
wordsByBaseForm_[w.getLemma().getBaseForm().getText()].insert(&w);
if (w.getNotion().hasWnid())
{
wordsByWnid_[w.getNotion().getWnid()].insert(&w);
}
return w;
}
void generator::createGroup(xmlNodePtr top, const group* parent)
{
if (parent != nullptr)
{
groups_.emplace_back(*parent);
} else {
groups_.emplace_back();
}
group& grp = groups_.back();
xmlChar* key;
for (xmlNodePtr node = top->xmlChildrenNode; node != nullptr; node = node->next)
{
if (!xmlStrcmp(node->name, reinterpret_cast<const xmlChar*>("SUBCLASSES")))
{
for (xmlNodePtr subclass = node->xmlChildrenNode; subclass != nullptr; subclass = subclass->next)
{
if (!xmlStrcmp(subclass->name, reinterpret_cast<const xmlChar*>("VNSUBCLASS")))
{
try
{
// Parsing a subgroup starts by making a copy of everything in
// the parent. This is okay to do at this point because in the
// VerbNet data, subgroups are always defined after everything
// else.
createGroup(subclass, &grp);
} catch (const std::exception& e)
{
key = xmlGetProp(subclass, reinterpret_cast<const xmlChar*>("ID"));
if (key == nullptr)
{
std::throw_with_nested(std::logic_error("Error parsing IDless subgroup"));
} else {
std::string subgroupId(reinterpret_cast<const char*>(key));
xmlFree(key);
std::throw_with_nested(std::logic_error("Error parsing subgroup " + subgroupId));
}
}
}
}
} else if (!xmlStrcmp(node->name, reinterpret_cast<const xmlChar*>("MEMBERS")))
{
for (xmlNodePtr member = node->xmlChildrenNode; member != nullptr; member = member->next)
{
if (!xmlStrcmp(member->name, reinterpret_cast<const xmlChar*>("MEMBER")))
{
key = xmlGetProp(member, reinterpret_cast<const xmlChar*>("wn"));
std::string wnSenses(reinterpret_cast<const char*>(key));
xmlFree(key);
auto wnSenseKeys =
hatkirby::split<std::list<std::string>>(wnSenses, " ");
if (!wnSenseKeys.empty())
{
std::list<std::string> tempKeys;
std::transform(
std::begin(wnSenseKeys),
std::end(wnSenseKeys),
std::back_inserter(tempKeys),
[] (std::string sense) {
return sense + "::";
});
std::list<std::string> filteredKeys;
std::remove_copy_if(
std::begin(tempKeys),
std::end(tempKeys),
std::back_inserter(filteredKeys),
[&] (std::string sense) {
return !wnSenseKeys_.count(sense);
});
wnSenseKeys = std::move(filteredKeys);
}
if (!wnSenseKeys.empty())
{
for (std::string sense : wnSenseKeys)
{
word& wordSense = *wnSenseKeys_[sense];
wordSense.setVerbGroup(grp);
}
} else {
key = xmlGetProp(member, reinterpret_cast<const xmlChar*>("name"));
std::string memberName(reinterpret_cast<const char*>(key));
xmlFree(key);
notion& n = createNotion(part_of_speech::verb);
lemma& l = lookupOrCreateLemma(memberName);
word& w = createWord(n, l);
w.setVerbGroup(grp);
}
}
}
} else if (!xmlStrcmp(node->name, reinterpret_cast<const xmlChar*>("THEMROLES")))
{
for (xmlNodePtr roletopnode = node->xmlChildrenNode; roletopnode != nullptr; roletopnode = roletopnode->next)
{
if (!xmlStrcmp(roletopnode->name, reinterpret_cast<const xmlChar*>("THEMROLE")))
{
key = xmlGetProp(roletopnode, reinterpret_cast<const xmlChar*>("type"));
std::string roleName = reinterpret_cast<const char*>(key);
xmlFree(key);
std::set<std::string> roleSelrestrs;
for (xmlNodePtr rolenode = roletopnode->xmlChildrenNode; rolenode != nullptr; rolenode = rolenode->next)
{
if (!xmlStrcmp(rolenode->name, reinterpret_cast<const xmlChar*>("SELRESTRS")))
{
for (xmlNodePtr selrestrnode = rolenode->xmlChildrenNode; selrestrnode != nullptr; selrestrnode = selrestrnode->next)
{
if (!xmlStrcmp(selrestrnode->name, reinterpret_cast<const xmlChar*>("SELRESTR")))
{
key = xmlGetProp(selrestrnode, reinterpret_cast<const xmlChar*>("type"));
roleSelrestrs.insert(std::string(reinterpret_cast<const char*>(key)));
xmlFree(key);
}
}
}
}
grp.addRole({roleName, std::move(roleSelrestrs)});
}
}
} else if (!xmlStrcmp(node->name, reinterpret_cast<const xmlChar*>("FRAMES")))
{
for (xmlNodePtr frametopnode = node->xmlChildrenNode; frametopnode != nullptr; frametopnode = frametopnode->next)
{
if (!xmlStrcmp(frametopnode->name, reinterpret_cast<const xmlChar*>("FRAME")))
{
frame fr;
for (xmlNodePtr framenode = frametopnode->xmlChildrenNode; framenode != nullptr; framenode = framenode->next)
{
if (!xmlStrcmp(framenode->name, reinterpret_cast<const xmlChar*>("SYNTAX")))
{
for (xmlNodePtr syntaxnode = framenode->xmlChildrenNode; syntaxnode != nullptr; syntaxnode = syntaxnode->next)
{
if (!xmlStrcmp(syntaxnode->name, reinterpret_cast<const xmlChar*>("NP")))
{
key = xmlGetProp(syntaxnode, reinterpret_cast<const xmlChar*>("value"));
std::string partRole = reinterpret_cast<const char*>(key);
xmlFree(key);
std::set<std::string> partSelrestrs;
std::set<std::string> partSynrestrs;
for (xmlNodePtr npnode = syntaxnode->xmlChildrenNode; npnode != nullptr; npnode = npnode->next)
{
if (!xmlStrcmp(npnode->name, reinterpret_cast<const xmlChar*>("SYNRESTRS")))
{
for (xmlNodePtr synrestr = npnode->xmlChildrenNode; synrestr != nullptr; synrestr = synrestr->next)
{
if (!xmlStrcmp(synrestr->name, reinterpret_cast<const xmlChar*>("SYNRESTR")))
{
key = xmlGetProp(synrestr, reinterpret_cast<const xmlChar*>("type"));
partSynrestrs.insert(reinterpret_cast<const char*>(key));
xmlFree(key);
}
}
} else if (!xmlStrcmp(npnode->name, reinterpret_cast<const xmlChar*>("SELRESTRS")))
{
for (xmlNodePtr selrestrnode = npnode->xmlChildrenNode; selrestrnode != nullptr; selrestrnode = selrestrnode->next)
{
if (!xmlStrcmp(selrestrnode->name, reinterpret_cast<const xmlChar*>("SELRESTR")))
{
key = xmlGetProp(selrestrnode, reinterpret_cast<const xmlChar*>("type"));
partSelrestrs.insert(std::string(reinterpret_cast<const char*>(key)));
xmlFree(key);
}
}
}
}
fr.push_back(part::createNounPhrase(std::move(partRole), std::move(partSelrestrs), std::move(partSynrestrs)));
} else if (!xmlStrcmp(syntaxnode->name, reinterpret_cast<const xmlChar*>("VERB")))
{
fr.push_back(part::createVerb());
} else if (!xmlStrcmp(syntaxnode->name, reinterpret_cast<const xmlChar*>("PREP")))
{
std::set<std::string> partChoices;
bool partLiteral;
if (xmlHasProp(syntaxnode, reinterpret_cast<const xmlChar*>("value")))
{
partLiteral = true;
key = xmlGetProp(syntaxnode, reinterpret_cast<const xmlChar*>("value"));
std::string choicesStr = reinterpret_cast<const char*>(key);
xmlFree(key);
auto choices =
hatkirby::split<std::list<std::string>>(
choicesStr, " ");
for (std::string choice : choices)
{
int chloc;
while ((chloc = choice.find_first_of("_"))
!= std::string::npos)
{
choice.replace(chloc, 1, " ");
}
partChoices.insert(std::move(choice));
}
} else {
partLiteral = false;
for (xmlNodePtr npnode = syntaxnode->xmlChildrenNode;
npnode != nullptr;
npnode = npnode->next)
{
if (!xmlStrcmp(npnode->name, reinterpret_cast<const xmlChar*>("SELRESTRS")))
{
for (xmlNodePtr synrestr = npnode->xmlChildrenNode; synrestr != nullptr; synrestr = synrestr->next)
{
if (!xmlStrcmp(synrestr->name, reinterpret_cast<const xmlChar*>("SELRESTR")))
{
key = xmlGetProp(synrestr, reinterpret_cast<const xmlChar*>("type"));
partChoices.insert(reinterpret_cast<const char*>(key));
xmlFree(key);
}
}
}
}
}
fr.push_back(part::createPreposition(std::move(partChoices), partLiteral));
} else if (!xmlStrcmp(syntaxnode->name, reinterpret_cast<const xmlChar*>("ADJ")))
{
fr.push_back(part::createAdjective());
} else if (!xmlStrcmp(syntaxnode->name, reinterpret_cast<const xmlChar*>("ADV")))
{
fr.push_back(part::createAdverb());
} else if (!xmlStrcmp(syntaxnode->name, reinterpret_cast<const xmlChar*>("LEX")))
{
key = xmlGetProp(syntaxnode, reinterpret_cast<const xmlChar*>("value"));
std::string literalValue = reinterpret_cast<const char*>(key);
xmlFree(key);
fr.push_back(part::createLiteral(literalValue));
} else {
continue;
}
}
grp.addFrame(std::move(fr));
}
}
}
}
}
}
}
};
};
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