diff options
Diffstat (limited to 'decoder/ff_const_reorder.cc')
| -rw-r--r-- | decoder/ff_const_reorder.cc | 1115 |
1 files changed, 1115 insertions, 0 deletions
diff --git a/decoder/ff_const_reorder.cc b/decoder/ff_const_reorder.cc new file mode 100644 index 00000000..95546793 --- /dev/null +++ b/decoder/ff_const_reorder.cc @@ -0,0 +1,1115 @@ +#include "ff_const_reorder.h" + +#include "filelib.h" +#include "stringlib.h" +#include "hg.h" +#include "sentence_metadata.h" +#include "hash.h" +#include "ff_const_reorder_common.h" + +#include <sstream> +#include <string> +#include <vector> +#include <stdio.h> + +using namespace std; +using namespace const_reorder; + +typedef HASH_MAP<std::string, vector<double> > MapClassifier; + +inline bool is_inside(int i, int left, int right) { + if (i < left || i > right) return false; + return true; +} + +/* + * assume i <= j + * [i, j] is inside [left, right] or [i, j] equates to [left, right] + */ +inline bool is_inside(int i, int j, int left, int right) { + if (i >= left && j <= right) return true; + return false; +} + +/* + * assume i <= j + * [i, j] is inside [left, right], but [i, j] not equal to [left, right] + */ +inline bool is_proper_inside(int i, int j, int left, int right) { + if (i >= left && j <= right && right - left > j - i) return true; + return false; +} + +/* + * assume i <= j + * [i, j] is proper proper inside [left, right] + */ +inline bool is_proper_proper_inside(int i, int j, int left, int right) { + if (i > left && j < right) return true; + return false; +} + +inline bool is_overlap(int left1, int right1, int left2, int right2) { + if (is_inside(left1, left2, right2) || is_inside(left2, left1, right1)) + return true; + + return false; +} + +inline void NewAndCopyCharArray(char** p, const char* q) { + if (q != NULL) { + (*p) = new char[strlen(q) + 1]; + strcpy((*p), q); + } else + (*p) = NULL; +} + +// TODO:to make the alignment more efficient +struct TargetTranslation { + TargetTranslation(int begin_pos, int end_pos,int e_num_word) + : begin_pos_(begin_pos), + end_pos_(end_pos), + e_num_words_(e_num_word), + vec_left_most_(end_pos - begin_pos + 1, e_num_word), + vec_right_most_(end_pos - begin_pos + 1, -1), + vec_f_align_bit_array_(end_pos - begin_pos + 1), + vec_e_align_bit_array_(e_num_word) { + int len = end_pos - begin_pos + 1; + align_.reserve(1.5 * len); + } + + void InsertAlignmentPoint(int s, int t) { + int i = s - begin_pos_; + + vector<bool>& b = vec_f_align_bit_array_[i]; + if (b.empty()) b.resize(e_num_words_); + b[t] = 1; + + vector<bool>& a = vec_e_align_bit_array_[t]; + if (a.empty()) a.resize(end_pos_ - begin_pos_ + 1); + a[i] = 1; + + align_.push_back({s, t}); + + if (t > vec_right_most_[i]) vec_right_most_[i] = t; + if (t < vec_left_most_[i]) vec_left_most_[i] = t; + } + + /* + * given a source span [begin, end], whether its target side is continuous, + * return "0": the source span is translated silently + * return "1": there is at least on word inside its target span, this word + * doesn't align to any word inside [begin, end], but outside [begin, end] + * return "2": otherwise + */ + string IsTargetConstinousSpan(int begin, int end) const { + int target_begin, target_end; + FindLeftRightMostTargetSpan(begin, end, target_begin, target_end); + if (target_begin == -1) return "0"; + + for (int i = target_begin; i <= target_end; i++) { + if (vec_e_align_bit_array_[i].empty()) continue; + int j = begin; + for (; j <= end; j++) { + if (vec_e_align_bit_array_[i][j - begin_pos_]) break; + } + if (j == end + 1) // e[i] is aligned, but e[i] doesn't align to any + // source word in [begin_pos, end_pos] + return "1"; + } + return "2"; + } + + string IsTargetConstinousSpan2(int begin, int end) const { + int target_begin, target_end; + FindLeftRightMostTargetSpan(begin, end, target_begin, target_end); + if (target_begin == -1) return "Unaligned"; + + for (int i = target_begin; i <= target_end; i++) { + if (vec_e_align_bit_array_[i].empty()) continue; + int j = begin; + for (; j <= end; j++) { + if (vec_e_align_bit_array_[i][j - begin_pos_]) break; + } + if (j == end + 1) // e[i] is aligned, but e[i] doesn't align to any + // source word in [begin_pos, end_pos] + return "Discon't"; + } + return "Con't"; + } + + void FindLeftRightMostTargetSpan(int begin, int end, int& target_begin, + int& target_end) const { + int b = begin - begin_pos_; + int e = end - begin_pos_ + 1; + + target_begin = vec_left_most_[b]; + target_end = vec_right_most_[b]; + for (int i = b + 1; i < e; i++) { + if (target_begin > vec_left_most_[i]) target_begin = vec_left_most_[i]; + if (target_end < vec_right_most_[i]) target_end = vec_right_most_[i]; + } + if (target_end == -1) target_begin = -1; + return; + + target_begin = e_num_words_; + target_end = -1; + + for (int i = begin - begin_pos_; i < end - begin_pos_ + 1; i++) { + if (vec_f_align_bit_array_[i].empty()) continue; + for (int j = 0; j < target_begin; j++) + if (vec_f_align_bit_array_[i][j]) { + target_begin = j; + break; + } + } + for (int i = end - begin_pos_; i > begin - begin_pos_ - 1; i--) { + if (vec_f_align_bit_array_[i].empty()) continue; + for (int j = e_num_words_ - 1; j > target_end; j--) + if (vec_f_align_bit_array_[i][j]) { + target_end = j; + break; + } + } + + if (target_end == -1) target_begin = -1; + } + + const uint16_t begin_pos_, end_pos_; // the position in input + const uint16_t e_num_words_; + vector<AlignmentPoint> align_; + + private: + vector<short> vec_left_most_; + vector<short> vec_right_most_; + vector<vector<bool> > vec_f_align_bit_array_; + vector<vector<bool> > vec_e_align_bit_array_; +}; + +struct FocusedConstituent { + FocusedConstituent(const SParsedTree* pTree) { + if (pTree == NULL) return; + for (size_t i = 0; i < pTree->m_vecTerminals.size(); i++) { + STreeItem* pParent = pTree->m_vecTerminals[i]->m_ptParent; + + while (pParent != NULL) { + // if (pParent->m_vecChildren.size() > 1 && pParent->m_iEnd - + // pParent->m_iBegin > 5) { + // if (pParent->m_vecChildren.size() > 1) { + if (true) { + + // do constituent reordering for all children of pParent + if (strcmp(pParent->m_pszTerm, "ROOT")) + focus_parents_.push_back(pParent); + } + if (pParent->m_iBrotherIndex != 0) break; + pParent = pParent->m_ptParent; + } + } + } + + ~FocusedConstituent() { // TODO + focus_parents_.clear(); + } + + vector<STreeItem*> focus_parents_; +}; + +typedef SPredicateItem FocusedPredicate; + +struct FocusedSRL { + FocusedSRL(const SSrlSentence* srl) { + if (srl == NULL) return; + for (size_t i = 0; i < srl->m_vecPred.size(); i++) { + if (strcmp(srl->m_pTree->m_vecTerminals[srl->m_vecPred[i]->m_iPosition] + ->m_ptParent->m_pszTerm, + "VA") == 0) + continue; + focus_predicates_.push_back( + new FocusedPredicate(srl->m_pTree, srl->m_vecPred[i])); + } + } + + ~FocusedSRL() { focus_predicates_.clear(); } + + vector<const FocusedPredicate*> focus_predicates_; +}; + +struct ConstReorderFeatureImpl { + ConstReorderFeatureImpl(const std::string& param) { + + b_block_feature_ = false; + b_order_feature_ = false; + b_srl_block_feature_ = false; + b_srl_order_feature_ = false; + + vector<string> terms; + SplitOnWhitespace(param, &terms); + if (terms.size() == 1) { + b_block_feature_ = true; + b_order_feature_ = true; + } else if (terms.size() >= 3) { + if (terms[1].compare("1") == 0) b_block_feature_ = true; + if (terms[2].compare("1") == 0) b_order_feature_ = true; + if (terms.size() == 6) { + if (terms[4].compare("1") == 0) b_srl_block_feature_ = true; + if (terms[5].compare("1") == 0) b_srl_order_feature_ = true; + + assert(b_srl_block_feature_ || b_srl_order_feature_); + } + + } else { + assert("ERROR"); + } + + const_reorder_classifier_left_ = NULL; + const_reorder_classifier_right_ = NULL; + + srl_reorder_classifier_left_ = NULL; + srl_reorder_classifier_right_ = NULL; + + if (b_order_feature_) { + InitializeClassifier((terms[0] + string(".left")).c_str(), + &const_reorder_classifier_left_); + InitializeClassifier((terms[0] + string(".right")).c_str(), + &const_reorder_classifier_right_); + } + + if (b_srl_order_feature_) { + InitializeClassifier((terms[3] + string(".left")).c_str(), + &srl_reorder_classifier_left_); + InitializeClassifier((terms[3] + string(".right")).c_str(), + &srl_reorder_classifier_right_); + } + + parsed_tree_ = NULL; + focused_consts_ = NULL; + + srl_sentence_ = NULL; + focused_srl_ = NULL; + + map_left_ = NULL; + map_right_ = NULL; + + map_srl_left_ = NULL; + map_srl_right_ = NULL; + + dict_block_status_ = new Dict(); + dict_block_status_->Convert("Unaligned", false); + dict_block_status_->Convert("Discon't", false); + dict_block_status_->Convert("Con't", false); + } + + ~ConstReorderFeatureImpl() { + if (const_reorder_classifier_left_) delete const_reorder_classifier_left_; + if (const_reorder_classifier_right_) delete const_reorder_classifier_right_; + if (srl_reorder_classifier_left_) delete srl_reorder_classifier_left_; + if (srl_reorder_classifier_right_) delete srl_reorder_classifier_right_; + FreeSentenceVariables(); + + delete dict_block_status_; + } + + static int ReserveStateSize() { return 1 * sizeof(TargetTranslation*); } + + void InitializeInputSentence(const std::string& parse_file, + const std::string& srl_file) { + FreeSentenceVariables(); + if (b_srl_block_feature_ || b_srl_order_feature_) { + assert(srl_file != ""); + srl_sentence_ = ReadSRLSentence(srl_file); + parsed_tree_ = srl_sentence_->m_pTree; + } else { + assert(parse_file != ""); + srl_sentence_ = NULL; + parsed_tree_ = ReadParseTree(parse_file); + } + + if (b_block_feature_ || b_order_feature_) { + focused_consts_ = new FocusedConstituent(parsed_tree_); + + if (b_order_feature_) { + // we can do the classifier "off-line" + map_left_ = new MapClassifier(); + map_right_ = new MapClassifier(); + InitializeConstReorderClassifierOutput(); + } + } + + if (b_srl_block_feature_ || b_srl_order_feature_) { + focused_srl_ = new FocusedSRL(srl_sentence_); + + if (b_srl_order_feature_) { + map_srl_left_ = new MapClassifier(); + map_srl_right_ = new MapClassifier(); + InitializeSRLReorderClassifierOutput(); + } + } + + if (parsed_tree_ != NULL) { + size_t i = parsed_tree_->m_vecTerminals.size(); + vec_target_tran_.reserve(20 * i * i * i); + } else + vec_target_tran_.reserve(1000000); + } + + void SetConstReorderFeature(const Hypergraph::Edge& edge, + SparseVector<double>* features, + const vector<const void*>& ant_states, + void* state) { + if (parsed_tree_ == NULL) return; + + short int begin = edge.i_, end = edge.j_ - 1; + + typedef TargetTranslation* PtrTargetTranslation; + PtrTargetTranslation* remnant = + reinterpret_cast<PtrTargetTranslation*>(state); + + vector<const TargetTranslation*> vec_node; + vec_node.reserve(edge.tail_nodes_.size()); + for (size_t i = 0; i < edge.tail_nodes_.size(); i++) { + const PtrTargetTranslation* astate = + reinterpret_cast<const PtrTargetTranslation*>(ant_states[i]); + vec_node.push_back(astate[0]); + } + + int e_num_word = edge.rule_->e_.size(); + for (size_t i = 0; i < vec_node.size(); i++) { + e_num_word += vec_node[i]->e_num_words_; + e_num_word--; + } + + remnant[0] = new TargetTranslation(begin, end, e_num_word); + vec_target_tran_.push_back(remnant[0]); + + // reset the alignment + // for the source side, we know its position in source sentence + // for the target side, we always assume its starting position is 0 + unsigned vc = 0; + const TRulePtr rule = edge.rule_; + std::vector<int> f_index(rule->f_.size()); + int index = edge.i_; + for (unsigned i = 0; i < rule->f_.size(); i++) { + f_index[i] = index; + const WordID& c = rule->f_[i]; + if (c < 1) + index = vec_node[vc++]->end_pos_ + 1; + else + index++; + } + assert(vc == vec_node.size()); + assert(index == edge.j_); + + std::vector<int> e_index(rule->e_.size()); + index = 0; + vc = 0; + for (unsigned i = 0; i < rule->e_.size(); i++) { + e_index[i] = index; + const WordID& c = rule->e_[i]; + if (c < 1) { + index += vec_node[-c]->e_num_words_; + vc++; + } else + index++; + } + assert(vc == vec_node.size()); + + size_t nt_pos = 0; + for (size_t i = 0; i < edge.rule_->f_.size(); i++) { + if (edge.rule_->f_[i] > 0) continue; + + // it's an NT + size_t j; + for (j = 0; j < edge.rule_->e_.size(); j++) + if (edge.rule_->e_[j] * -1 == nt_pos) break; + assert(j != edge.rule_->e_.size()); + nt_pos++; + + // i aligns j + int eindex = e_index[j]; + const vector<AlignmentPoint>& align = + vec_node[-1 * edge.rule_->e_[j]]->align_; + for (size_t k = 0; k < align.size(); k++) { + remnant[0]->InsertAlignmentPoint(align[k].s_, eindex + align[k].t_); + } + } + for (size_t i = 0; i < edge.rule_->a_.size(); i++) { + int findex = f_index[edge.rule_->a_[i].s_]; + int eindex = e_index[edge.rule_->a_[i].t_]; + remnant[0]->InsertAlignmentPoint(findex, eindex); + } + + // till now, we finished setting state values + // next, use the state values to calculate constituent reorder feature + SetConstReorderFeature(begin, end, features, remnant[0], + vec_node, f_index); + } + + void SetConstReorderFeature(short int begin, short int end, + SparseVector<double>* features, + const TargetTranslation* target_translation, + const vector<const TargetTranslation*>& vec_node, + std::vector<int>& /*findex*/) { + if (b_srl_block_feature_ || b_srl_order_feature_) { + double logprob_srl_reorder_left = 0.0, logprob_srl_reorder_right = 0.0; + for (size_t i = 0; i < focused_srl_->focus_predicates_.size(); i++) { + const FocusedPredicate* pred = focused_srl_->focus_predicates_[i]; + if (!is_overlap(begin, end, pred->begin_, pred->end_)) + continue; // have no overlap between this predicate (with its + // argument) and the current edge + + size_t j; + for (j = 0; j < vec_node.size(); j++) { + if (is_inside(pred->begin_, pred->end_, vec_node[j]->begin_pos_, + vec_node[j]->end_pos_)) + break; + } + if (j < vec_node.size()) continue; + + vector<int> vecBlockStatus; + vecBlockStatus.reserve(pred->vec_items_.size()); + for (j = 0; j < pred->vec_items_.size(); j++) { + const STreeItem* con1 = pred->vec_items_[j]->tree_item_; + if (con1->m_iBegin < begin || con1->m_iEnd > end) { + vecBlockStatus.push_back(0); + continue; + } // the node is partially outside the current edge + + string type = target_translation->IsTargetConstinousSpan2( + con1->m_iBegin, con1->m_iEnd); + vecBlockStatus.push_back(dict_block_status_->Convert(type, false)); + + if (!b_srl_block_feature_) continue; + // see if the node is covered by an NT + size_t k; + for (k = 0; k < vec_node.size(); k++) { + if (is_inside(con1->m_iBegin, con1->m_iEnd, vec_node[k]->begin_pos_, + vec_node[k]->end_pos_)) + break; + } + if (k < vec_node.size()) continue; + int f_id = FD::Convert(string(pred->vec_items_[j]->role_) + type); + if (f_id) features->add_value(f_id, 1); + } + + if (!b_srl_order_feature_) continue; + + vector<int> vecPosition, vecRelativePosition; + vector<int> vecRightPosition, vecRelativeRightPosition; + vecPosition.reserve(pred->vec_items_.size()); + vecRelativePosition.reserve(pred->vec_items_.size()); + vecRightPosition.reserve(pred->vec_items_.size()); + vecRelativeRightPosition.reserve(pred->vec_items_.size()); + for (j = 0; j < pred->vec_items_.size(); j++) { + const STreeItem* con1 = pred->vec_items_[j]->tree_item_; + if (con1->m_iBegin < begin || con1->m_iEnd > end) { + vecPosition.push_back(-1); + vecRightPosition.push_back(-1); + continue; + } // the node is partially outside the current edge + int left1 = -1, right1 = -1; + target_translation->FindLeftRightMostTargetSpan( + con1->m_iBegin, con1->m_iEnd, left1, right1); + vecPosition.push_back(left1); + vecRightPosition.push_back(right1); + } + fnGetRelativePosition(vecPosition, vecRelativePosition); + fnGetRelativePosition(vecRightPosition, vecRelativeRightPosition); + + for (j = 1; j < pred->vec_items_.size(); j++) { + const STreeItem* con1 = pred->vec_items_[j - 1]->tree_item_; + const STreeItem* con2 = pred->vec_items_[j]->tree_item_; + + if (con1->m_iBegin < begin || con2->m_iEnd > end) + continue; // one of the two nodes is partially outside the current + // edge + + // both con1 and con2 are covered, need to check if they are covered + // by the same NT + size_t k; + for (k = 0; k < vec_node.size(); k++) { + if (is_inside(con1->m_iBegin, con2->m_iEnd, vec_node[k]->begin_pos_, + vec_node[k]->end_pos_)) + break; + } + if (k < vec_node.size()) continue; + + // they are not covered bye the same NT + string outcome; + string key; + GenerateKey(pred->vec_items_[j - 1]->tree_item_, + pred->vec_items_[j]->tree_item_, vecBlockStatus[j - 1], + vecBlockStatus[j], key); + + fnGetOutcome(vecRelativePosition[j - 1], vecRelativePosition[j], + outcome); + double prob = CalculateConstReorderProb(srl_reorder_classifier_left_, + map_srl_left_, key, outcome); + // printf("%s %s %f\n", ostr.str().c_str(), outcome.c_str(), prob); + logprob_srl_reorder_left += log10(prob); + + fnGetOutcome(vecRelativeRightPosition[j - 1], + vecRelativeRightPosition[j], outcome); + prob = CalculateConstReorderProb(srl_reorder_classifier_right_, + map_srl_right_, key, outcome); + logprob_srl_reorder_right += log10(prob); + } + } + + if (b_srl_order_feature_) { + int f_id = FD::Convert("SRLReorderFeatureLeft"); + if (f_id && logprob_srl_reorder_left != 0.0) + features->set_value(f_id, logprob_srl_reorder_left); + f_id = FD::Convert("SRLReorderFeatureRight"); + if (f_id && logprob_srl_reorder_right != 0.0) + features->set_value(f_id, logprob_srl_reorder_right); + } + } + + if (b_block_feature_ || b_order_feature_) { + double logprob_const_reorder_left = 0.0, + logprob_const_reorder_right = 0.0; + + for (size_t i = 0; i < focused_consts_->focus_parents_.size(); i++) { + STreeItem* parent = focused_consts_->focus_parents_[i]; + if (!is_overlap(begin, end, parent->m_iBegin, + parent->m_iEnd)) + continue; // have no overlap between this parent node and the current + // edge + + size_t j; + for (j = 0; j < vec_node.size(); j++) { + if (is_inside(parent->m_iBegin, parent->m_iEnd, + vec_node[j]->begin_pos_, vec_node[j]->end_pos_)) + break; + } + if (j < vec_node.size()) continue; + + if (b_block_feature_) { + if (parent->m_iBegin >= begin && + parent->m_iEnd <= end) { + string type = target_translation->IsTargetConstinousSpan2( + parent->m_iBegin, parent->m_iEnd); + int f_id = FD::Convert(string(parent->m_pszTerm) + type); + if (f_id) features->add_value(f_id, 1); + } + } + + if (parent->m_vecChildren.size() == 1 || !b_order_feature_) continue; + + vector<int> vecChunkBlock; + vecChunkBlock.reserve(parent->m_vecChildren.size()); + + for (j = 0; j < parent->m_vecChildren.size(); j++) { + STreeItem* con1 = parent->m_vecChildren[j]; + if (con1->m_iBegin < begin || con1->m_iEnd > end) { + vecChunkBlock.push_back(0); + continue; + } // the node is partially outside the current edge + + string type = target_translation->IsTargetConstinousSpan2( + con1->m_iBegin, con1->m_iEnd); + vecChunkBlock.push_back(dict_block_status_->Convert(type, false)); + + /*if (!b_block_feature_) continue; + //see if the node is covered by an NT + size_t k; + for (k = 0; k < vec_node.size(); k++) { + if (is_inside(con1->m_iBegin, con1->m_iEnd, + vec_node[k]->begin_pos_, vec_node[k]->end_pos_)) + break; + } + if (k < vec_node.size()) continue; + int f_id = FD::Convert(string(con1->m_pszTerm) + type); + if (f_id) + features->add_value(f_id, 1);*/ + } + + if (!b_order_feature_) continue; + + vector<int> vecPosition, vecRelativePosition; + vector<int> vecRightPosition, vecRelativeRightPosition; + vecPosition.reserve(parent->m_vecChildren.size()); + vecRelativePosition.reserve(parent->m_vecChildren.size()); + vecRightPosition.reserve(parent->m_vecChildren.size()); + vecRelativeRightPosition.reserve(parent->m_vecChildren.size()); + for (j = 0; j < parent->m_vecChildren.size(); j++) { + STreeItem* con1 = parent->m_vecChildren[j]; + if (con1->m_iBegin < begin || con1->m_iEnd > end) { + vecPosition.push_back(-1); + vecRightPosition.push_back(-1); + continue; + } // the node is partially outside the current edge + int left1 = -1, right1 = -1; + target_translation->FindLeftRightMostTargetSpan( + con1->m_iBegin, con1->m_iEnd, left1, right1); + vecPosition.push_back(left1); + vecRightPosition.push_back(right1); + } + fnGetRelativePosition(vecPosition, vecRelativePosition); + fnGetRelativePosition(vecRightPosition, vecRelativeRightPosition); + + for (j = 1; j < parent->m_vecChildren.size(); j++) { + STreeItem* con1 = parent->m_vecChildren[j - 1]; + STreeItem* con2 = parent->m_vecChildren[j]; + + if (con1->m_iBegin < begin || con2->m_iEnd > end) + continue; // one of the two nodes is partially outside the current + // edge + + // both con1 and con2 are covered, need to check if they are covered + // by the same NT + size_t k; + for (k = 0; k < vec_node.size(); k++) { + if (is_inside(con1->m_iBegin, con2->m_iEnd, vec_node[k]->begin_pos_, + vec_node[k]->end_pos_)) + break; + } + if (k < vec_node.size()) continue; + + // they are not covered bye the same NT + string outcome; + string key; + GenerateKey(parent->m_vecChildren[j - 1], parent->m_vecChildren[j], + vecChunkBlock[j - 1], vecChunkBlock[j], key); + + fnGetOutcome(vecRelativePosition[j - 1], vecRelativePosition[j], + outcome); + double prob = CalculateConstReorderProb( + const_reorder_classifier_left_, map_left_, key, outcome); + // printf("%s %s %f\n", ostr.str().c_str(), outcome.c_str(), prob); + logprob_const_reorder_left += log10(prob); + + fnGetOutcome(vecRelativeRightPosition[j - 1], + vecRelativeRightPosition[j], outcome); + prob = CalculateConstReorderProb(const_reorder_classifier_right_, + map_right_, key, outcome); + logprob_const_reorder_right += log10(prob); + } + } + + if (b_order_feature_) { + int f_id = FD::Convert("ConstReorderFeatureLeft"); + if (f_id && logprob_const_reorder_left != 0.0) + features->set_value(f_id, logprob_const_reorder_left); + f_id = FD::Convert("ConstReorderFeatureRight"); + if (f_id && logprob_const_reorder_right != 0.0) + features->set_value(f_id, logprob_const_reorder_right); + } + } + } + + private: + void Byte_to_Char(unsigned char* str, int n) { + str[0] = (n & 255); + str[1] = n / 256; + } + void GenerateKey(const STreeItem* pCon1, const STreeItem* pCon2, + int iBlockStatus1, int iBlockStatus2, string& key) { + assert(iBlockStatus1 != 0); + assert(iBlockStatus2 != 0); + unsigned char szTerm[1001]; + Byte_to_Char(szTerm, pCon1->m_iBegin); + Byte_to_Char(szTerm + 2, pCon2->m_iEnd); + szTerm[4] = (char)iBlockStatus1; + szTerm[5] = (char)iBlockStatus2; + szTerm[6] = '\0'; + // sprintf(szTerm, "%d|%d|%d|%d|%s|%s", pCon1->m_iBegin, pCon1->m_iEnd, + // pCon2->m_iBegin, pCon2->m_iEnd, strBlockStatus1.c_str(), + // strBlockStatus2.c_str()); + key = string(szTerm, szTerm + 6); + } + void InitializeConstReorderClassifierOutput() { + if (!b_order_feature_) return; + int size_block_status = dict_block_status_->max(); + + for (size_t i = 0; i < focused_consts_->focus_parents_.size(); i++) { + STreeItem* parent = focused_consts_->focus_parents_[i]; + + for (size_t j = 1; j < parent->m_vecChildren.size(); j++) { + for (size_t k = 1; k <= size_block_status; k++) { + for (size_t l = 1; l <= size_block_status; l++) { + ostringstream ostr; + GenerateFeature(parsed_tree_, parent, j, + dict_block_status_->Convert(k), + dict_block_status_->Convert(l), ostr); + + string strKey; + GenerateKey(parent->m_vecChildren[j - 1], parent->m_vecChildren[j], + k, l, strKey); + + vector<double> vecOutput; + const_reorder_classifier_left_->fnEval(ostr.str().c_str(), + vecOutput); + (*map_left_)[strKey] = vecOutput; + + const_reorder_classifier_right_->fnEval(ostr.str().c_str(), + vecOutput); + (*map_right_)[strKey] = vecOutput; + } + } + } + } + } + + void InitializeSRLReorderClassifierOutput() { + if (!b_srl_order_feature_) return; + int size_block_status = dict_block_status_->max(); + + for (size_t i = 0; i < focused_srl_->focus_predicates_.size(); i++) { + const FocusedPredicate* pred = focused_srl_->focus_predicates_[i]; + + for (size_t j = 1; j < pred->vec_items_.size(); j++) { + for (size_t k = 1; k <= size_block_status; k++) { + for (size_t l = 1; l <= size_block_status; l++) { + ostringstream ostr; + + SArgumentReorderModel::fnGenerateFeature( + parsed_tree_, pred->pred_, pred, j, + dict_block_status_->Convert(k), dict_block_status_->Convert(l), + ostr); + + string strKey; + GenerateKey(pred->vec_items_[j - 1]->tree_item_, + pred->vec_items_[j]->tree_item_, k, l, strKey); + + vector<double> vecOutput; + srl_reorder_classifier_left_->fnEval(ostr.str().c_str(), vecOutput); + (*map_srl_left_)[strKey] = vecOutput; + + srl_reorder_classifier_right_->fnEval(ostr.str().c_str(), + vecOutput); + (*map_srl_right_)[strKey] = vecOutput; + } + } + } + } + } + + double CalculateConstReorderProb( + const Tsuruoka_Maxent* const_reorder_classifier, const MapClassifier* map, + const string& key, const string& outcome) { + MapClassifier::const_iterator iter = (*map).find(key); + assert(iter != map->end()); + int id = const_reorder_classifier->fnGetClassId(outcome); + return iter->second[id]; + } + + void FreeSentenceVariables() { + if (srl_sentence_ != NULL) { + delete srl_sentence_; + srl_sentence_ = NULL; + } else { + if (parsed_tree_ != NULL) delete parsed_tree_; + parsed_tree_ = NULL; + } + + if (focused_consts_ != NULL) delete focused_consts_; + focused_consts_ = NULL; + + for (size_t i = 0; i < vec_target_tran_.size(); i++) + delete vec_target_tran_[i]; + vec_target_tran_.clear(); + + if (map_left_ != NULL) delete map_left_; + map_left_ = NULL; + if (map_right_ != NULL) delete map_right_; + map_right_ = NULL; + + if (map_srl_left_ != NULL) delete map_srl_left_; + map_srl_left_ = NULL; + if (map_srl_right_ != NULL) delete map_srl_right_; + map_srl_right_ = NULL; + } + + void InitializeClassifier(const char* pszFname, + Tsuruoka_Maxent** ppClassifier) { + (*ppClassifier) = new Tsuruoka_Maxent(pszFname); + } + + void GenerateOutcome(const vector<int>& vecPos, vector<string>& vecOutcome) { + vecOutcome.clear(); + + for (size_t i = 1; i < vecPos.size(); i++) { + if (vecPos[i] == -1 || vecPos[i] == vecPos[i - 1]) { + vecOutcome.push_back("M"); // monotone + continue; + } + + if (vecPos[i - 1] == -1) { + // vecPos[i] is not -1 + size_t j = i - 2; + while (j > -1 && vecPos[j] == -1) j--; + + size_t k; + for (k = 0; k < j; k++) { + if (vecPos[k] > vecPos[j] || vecPos[k] <= vecPos[i]) break; + } + if (k < j) { + vecOutcome.push_back("DM"); + continue; + } + + for (k = i + 1; k < vecPos.size(); k++) + if (vecPos[k] < vecPos[i] && (j == -1 && vecPos[k] >= vecPos[j])) + break; + if (k < vecPos.size()) { + vecOutcome.push_back("DM"); + continue; + } + vecOutcome.push_back("M"); + } else { + // neither of vecPos[i-1] and vecPos[i] is -1 + if (vecPos[i - 1] < vecPos[i]) { + // monotone or discon't monotone + size_t j; + for (j = 0; j < i - 1; j++) + if (vecPos[j] > vecPos[i - 1] && vecPos[j] <= vecPos[i]) break; + if (j < i - 1) { + vecOutcome.push_back("DM"); + continue; + } + for (j = i + 1; j < vecPos.size(); j++) + if (vecPos[j] >= vecPos[i - 1] && vecPos[j] < vecPos[i]) break; + if (j < vecPos.size()) { + vecOutcome.push_back("DM"); + continue; + } + vecOutcome.push_back("M"); + } else { + // swap or discon't swap + size_t j; + for (j = 0; j < i - 1; j++) + if (vecPos[j] > vecPos[i] && vecPos[j] <= vecPos[i - 1]) break; + if (j < i - 1) { + vecOutcome.push_back("DS"); + continue; + } + for (j = i + 1; j < vecPos.size(); j++) + if (vecPos[j] >= vecPos[i] && vecPos[j] < vecPos[i - 1]) break; + if (j < vecPos.size()) { + vecOutcome.push_back("DS"); + continue; + } + vecOutcome.push_back("S"); + } + } + } + + assert(vecOutcome.size() == vecPos.size() - 1); + } + + void fnGetRelativePosition(const vector<int>& vecLeft, + vector<int>& vecPosition) { + vecPosition.clear(); + + vector<float> vec; + vec.reserve(vecLeft.size()); + for (size_t i = 0; i < vecLeft.size(); i++) { + if (vecLeft[i] == -1) { + if (i == 0) + vec.push_back(-1); + else + vec.push_back(vecLeft[i - 1] + 0.1); + } else + vec.push_back(vecLeft[i]); + } + + for (size_t i = 0; i < vecLeft.size(); i++) { + int count = 0; + + for (size_t j = 0; j < vecLeft.size(); j++) { + if (j == i) continue; + if (vec[j] < vec[i]) { + count++; + } else if (vec[j] == vec[i] && j < i) { + count++; + } + } + vecPosition.push_back(count); + } + + for (size_t i = 1; i < vecPosition.size(); i++) { + if (vecPosition[i - 1] == vecPosition[i]) { + for (size_t j = 0; j < vecLeft.size(); j++) cout << vecLeft[j] << " "; + cout << "\n"; + assert(false); + } + } + } + + inline void fnGetOutcome(int i1, int i2, string& strOutcome) { + assert(i1 != i2); + if (i1 < i2) { + if (i2 > i1 + 1) + strOutcome = string("DM"); + else + strOutcome = string("M"); + } else { + if (i1 > i2 + 1) + strOutcome = string("DS"); + else + strOutcome = string("S"); + } + } + + // features in constituent_reorder_model.cc + void GenerateFeature(const SParsedTree* pTree, const STreeItem* pParent, + int iPos, const string& strBlockStatus1, + const string& strBlockStatus2, ostringstream& ostr) { + STreeItem* pCon1, *pCon2; + pCon1 = pParent->m_vecChildren[iPos - 1]; + pCon2 = pParent->m_vecChildren[iPos]; + + string left_label = string(pCon1->m_pszTerm); + string right_label = string(pCon2->m_pszTerm); + string parent_label = string(pParent->m_pszTerm); + + vector<string> vec_other_right_sibling; + for (int i = iPos + 1; i < pParent->m_vecChildren.size(); i++) + vec_other_right_sibling.push_back( + string(pParent->m_vecChildren[i]->m_pszTerm)); + if (vec_other_right_sibling.size() == 0) + vec_other_right_sibling.push_back(string("NULL")); + vector<string> vec_other_left_sibling; + for (int i = 0; i < iPos - 1; i++) + vec_other_left_sibling.push_back( + string(pParent->m_vecChildren[i]->m_pszTerm)); + if (vec_other_left_sibling.size() == 0) + vec_other_left_sibling.push_back(string("NULL")); + + // generate features + // f1 + ostr << "f1=" << left_label << "_" << right_label << "_" << parent_label; + // f2 + for (int i = 0; i < vec_other_right_sibling.size(); i++) + ostr << " f2=" << left_label << "_" << right_label << "_" << parent_label + << "_" << vec_other_right_sibling[i]; + // f3 + for (int i = 0; i < vec_other_left_sibling.size(); i++) + ostr << " f3=" << left_label << "_" << right_label << "_" << parent_label + << "_" << vec_other_left_sibling[i]; + // f4 + ostr << " f4=" << left_label << "_" << right_label << "_" + << pTree->m_vecTerminals[pCon1->m_iHeadWord]->m_ptParent->m_pszTerm; + // f5 + ostr << " f5=" << left_label << "_" << right_label << "_" + << pTree->m_vecTerminals[pCon1->m_iHeadWord]->m_pszTerm; + // f6 + ostr << " f6=" << left_label << "_" << right_label << "_" + << pTree->m_vecTerminals[pCon2->m_iHeadWord]->m_ptParent->m_pszTerm; + // f7 + ostr << " f7=" << left_label << "_" << right_label << "_" + << pTree->m_vecTerminals[pCon2->m_iHeadWord]->m_pszTerm; + // f8 + ostr << " f8=" << left_label << "_" << right_label << "_" + << strBlockStatus1; + // f9 + ostr << " f9=" << left_label << "_" << right_label << "_" + << strBlockStatus2; + + // f10 + ostr << " f10=" << left_label << "_" << parent_label; + // f11 + ostr << " f11=" << right_label << "_" << parent_label; + } + + SParsedTree* ReadParseTree(const std::string& parse_file) { + SParseReader* reader = new SParseReader(parse_file.c_str(), false); + SParsedTree* tree = reader->fnReadNextParseTree(); + // assert(tree != NULL); + delete reader; + return tree; + } + + SSrlSentence* ReadSRLSentence(const std::string& srl_file) { + SSrlSentenceReader* reader = new SSrlSentenceReader(srl_file.c_str()); + SSrlSentence* srl = reader->fnReadNextSrlSentence(); + // assert(srl != NULL); + delete reader; + return srl; + } + + private: + Tsuruoka_Maxent* const_reorder_classifier_left_; + Tsuruoka_Maxent* const_reorder_classifier_right_; + + Tsuruoka_Maxent* srl_reorder_classifier_left_; + Tsuruoka_Maxent* srl_reorder_classifier_right_; + + MapClassifier* map_left_; + MapClassifier* map_right_; + + MapClassifier* map_srl_left_; + MapClassifier* map_srl_right_; + + SParsedTree* parsed_tree_; + FocusedConstituent* focused_consts_; + vector<TargetTranslation*> vec_target_tran_; + + bool b_order_feature_; + bool b_block_feature_; + + bool b_srl_block_feature_; + bool b_srl_order_feature_; + SSrlSentence* srl_sentence_; + FocusedSRL* focused_srl_; + + Dict* dict_block_status_; +}; + +ConstReorderFeature::ConstReorderFeature(const std::string& param) { + pimpl_ = new ConstReorderFeatureImpl(param); + SetStateSize(ConstReorderFeatureImpl::ReserveStateSize()); + SetIgnoredStateSize(ConstReorderFeatureImpl::ReserveStateSize()); + name_ = "ConstReorderFeature"; +} + +ConstReorderFeature::~ConstReorderFeature() { // TODO + delete pimpl_; +} + +void ConstReorderFeature::PrepareForInput(const SentenceMetadata& smeta) { + string parse_file = smeta.GetSGMLValue("parse"); + string srl_file = smeta.GetSGMLValue("srl"); + assert(!(parse_file == "" && srl_file == "")); + + pimpl_->InitializeInputSentence(parse_file, srl_file); +} + +void ConstReorderFeature::TraversalFeaturesImpl( + const SentenceMetadata& /* smeta */, const Hypergraph::Edge& edge, + const vector<const void*>& ant_states, SparseVector<double>* features, + SparseVector<double>* /*estimated_features*/, void* state) const { + pimpl_->SetConstReorderFeature(edge, features, ant_states, state); +} + +string ConstReorderFeature::usage(bool show_params, bool show_details) { + ostringstream out; + out << "ConstReorderFeature"; + if (show_params) { + out << " model_file_prefix [const_block=1 const_order=1] [srl_block=0 " + "srl_order=0]" + << "\nParameters:\n" + << " const_{block,order}: enable/disable constituency constraints.\n" + << " src_{block,order}: enable/disable semantic role labeling " + "constraints.\n"; + } + if (show_details) { + out << "\n" + << "Soft reordering constraint features from " + "http://www.aclweb.org/anthology/P14-1106. To train the classifers, " + "use utils/const_reorder_model_trainer for constituency reordering " + "constraints and utils/argument_reorder_model_trainer for semantic " + "role labeling reordering constraints.\n" + << "Input segments should provide path to parse tree (resp. SRL parse) " + "as \"parse\" (resp. \"srl\") properties.\n"; + } + return out.str(); +} + +boost::shared_ptr<FeatureFunction> CreateConstReorderModel( + const std::string& param) { + ConstReorderFeature* ret = new ConstReorderFeature(param); + return boost::shared_ptr<FeatureFunction>(ret); +} |