Module: NLP
- Extended by:
- LocalPersist
- Defined in:
- lib/rbbt/nlp/nlp.rb,
lib/rbbt/nlp/genia/sentence_splitter.rb
Defined Under Namespace
Constant Summary collapse
- NEW_LINE_MASK =
"\t\t \t \t"
Class Method Summary collapse
- .event_extraction(text) ⇒ Object
- .gdep_chunk_sentences(sentences) ⇒ Object
- .gdep_chunks(sentence, segment_list) ⇒ Object
- .gdep_parse_sentences(sentences) ⇒ Object
- .gdep_parse_sentences_extension(sentences) ⇒ Object
- .geniass_sentence_splitter(text) ⇒ Object
- .geniass_sentence_splitter_extension(text) ⇒ Object
- .merge_vp_chunks(chunk_list) ⇒ Object
- .process_labels(marked_text, labels) ⇒ Object
- .returnFeatures(prevWord, delimiter, nextWord) ⇒ Object
Class Method Details
.event_extraction(text) ⇒ Object
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# File 'lib/rbbt/nlp/genia/sentence_splitter.rb', line 95 def self.event_extraction(text) events = "" marks = "" eventCount = 0 pat = / [^ ]+[.!\?\)\]\"]( +)[^ ]+ / for line in text.split(/\n/) do while line.match(pat) do line.sub!(/ ([^ ]+)([.!\?\)\]\"])( +)([^ ]+) /){ a, b, d, c = $1, $2, $3, $4 events << eventCount.to_s << "\t" events << returnFeatures(a, b, c) (" " << a << b << "__" << eventCount.to_s << "____" << d << "__" << c << " ") } eventCount += 1 end marks << line end [events, marks] end |
.gdep_chunk_sentences(sentences) ⇒ Object
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# File 'lib/rbbt/nlp/nlp.rb', line 148 def self.gdep_chunk_sentences(sentences) sentences = Array === sentences ? sentences : [sentences] NLP.gdep_parse_sentences_extension(sentences).zip(sentences).collect do |segment_list, sentence| chunk_list = NLP.gdep_chunks(sentence, segment_list) NLP.merge_vp_chunks(chunk_list) end end |
.gdep_chunks(sentence, segment_list) ⇒ Object
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# File 'lib/rbbt/nlp/nlp.rb', line 56 def self.gdep_chunks(sentence, segment_list) chunks = [] chunk_start = "B"[0] chunk_inside = "I"[0] last = GdepToken.setup("LW") chunk_segments = [] segment_list.each do |segment| if segment.chunk[0] == chunk_inside and not segment.offset.nil? chunk_segments << segment else if chunk_segments.any? cstart = chunk_segments.first.offset cend = chunk_segments.last.end chunk = sentence[cstart..cend] GdepChunk.setup(chunk, cstart, last.chunk.sub(/^.-/,''), chunk_segments) chunks << chunk end if segment.offset.nil? chunk_segments = [] else chunk_segments = [segment] end end last = segment end if chunk_segments.any? cstart = chunk_segments.first.offset cend = chunk_segments.last.end chunk = sentence[cstart..cend] GdepChunk.setup(chunk, cstart, last.chunk.sub(/^.-/,''), chunk_segments) chunks << chunk end chunks end |
.gdep_parse_sentences(sentences) ⇒ Object
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# File 'lib/rbbt/nlp/nlp.rb', line 98 def self.gdep_parse_sentences(sentences) sentences = Array === sentences ? sentences : [sentences] input = sentences.collect{|sentence| sentence.gsub(/\n/, NEW_LINE_MASK)} * "\n" sentence_tokens = TmpFile.with_file(input) do |fin| out = local_persist(Digest::MD5.hexdigest(input), :Chunks, :string) do CMD.cmd("cd #{Rbbt.software.opt.Gdep.produce.find}; ./gdep #{ fin }").read end out.split(/^$/).collect do |sentence| tokens = sentence.split(/\n/).collect do |line| next if line.empty? num, token, lemma, chunk, pos, bio, link, dep = line.split(/\t/) GdepToken.setup(token, nil, num, lemma, chunk, pos, bio, link, dep) end.compact end end sentences.zip(sentence_tokens).collect do |sentence, tokens| Segment.align(sentence, tokens) end end |
.gdep_parse_sentences_extension(sentences) ⇒ Object
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# File 'lib/rbbt/nlp/nlp.rb', line 122 def self.gdep_parse_sentences_extension(sentences) require Rbbt.software.opt.Gdep.produce.ruby["Gdep.so"].find gdep = Gdep.new if not gdep.gdep_is_loaded Misc.in_dir Rbbt.software.opt.Gdep.produce.find do gdep.load_gdep end end sentences = Array === sentences ? sentences : [sentences] sentence_tokens = sentences.collect{|sentence| Gdep.new.tag(sentence).split(/\n/).collect do |line| next if line.empty? token, lemma, pos, chunk = line.split(/\t/) GdepToken.setup(token, nil, nil, lemma, chunk, pos) token end.compact } sentences.zip(sentence_tokens).collect do |sentence, tokens| Segment.align(sentence, tokens) tokens end end |
.geniass_sentence_splitter(text) ⇒ Object
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# File 'lib/rbbt/nlp/genia/sentence_splitter.rb', line 249 def self.geniass_sentence_splitter(text) Rbbt.software.opt.Geniass.produce offsets = [] cleaned = text.gsub("\n",NEW_LINE_MASK) TmpFile.with_file(cleaned) do |fin| TmpFile.with_file do |fout| CMD.cmd("cd #{Rbbt.software.opt.Geniass.find}; ./geniass #{ fin } #{ fout }") Open.write(fin, Open.read(fin).gsub(NEW_LINE_MASK, "\n")) Open.write(fout, Open.read(fout).gsub("\n", '|').gsub(NEW_LINE_MASK, "\n")) # Addapted from sentence2standOff.rb in Geniass package inTxtStrict = Open.open(fin) inTxtNew = Open.open(fout) marker = "|"[0] position = 0 sentenceCount = 1 target = '' targetNew = '' start = 0 finish = 0 while(!inTxtNew.eof?) do targetNew = inTxtNew.getc target = inTxtStrict.getc position += 1 if targetNew == marker sentenceCount += 1 finish = position - 1 offsets << [start, finish] if finish - start > 10 if targetNew == target start = position else targetNew = inTxtNew.getc while targetNew != target do target = inTxtStrict.getc position += 1 end start = position - 1 end end end finish = position - 1 offsets << [start, finish] if finish > start inTxtStrict.close inTxtNew.close end end offsets.collect do |s,e| sentence = text[s..e] next if sentence.nil? sentence.gsub!(NEW_LINE_MASK, "\n") Segment.setup sentence, s sentence end end |
.geniass_sentence_splitter_extension(text) ⇒ Object
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# File 'lib/rbbt/nlp/genia/sentence_splitter.rb', line 175 def self.geniass_sentence_splitter_extension(text) cleaned = text.gsub("\n",NEW_LINE_MASK) events, marks = event_extraction(cleaned) Rbbt.software.opt.Geniass.produce begin ENV["LD_LIBRARY_PATH"] = Rbbt.software.opt.Geniass.lib.find + ":" + ENV["LD_LIBRARY_PATH"] require Rbbt.software.opt.Geniass.ruby["Geniass.so"].find rescue LoadError raise LoadError, "Geniass ruby module needs to be able to find #{Rbbt.software.opt.Geniass.lib.find} in LD_LIBRARY_PATH" end geniass = Geniass.new if not geniass.geniass_is_loaded Misc.in_dir Rbbt.software.opt.Geniass.find do geniass.load_geniass end end labels = events.split(/\n/).collect{|line| geniass.label(line) } out = process_labels(marks, labels) offsets = [] inTxtStrict = StringIO.new text inTxtNew = StringIO.new out.gsub("\n", '|').gsub(NEW_LINE_MASK, "\n") marker = "|"[0] position = 0 sentenceCount = 1 target = '' targetNew = '' start = 0 finish = 0 while(!inTxtNew.eof?) do targetNew = inTxtNew.getc target = inTxtStrict.getc position += 1 if targetNew == marker sentenceCount += 1 finish = position - 1 offsets << [start, finish] if finish - start > 10 if targetNew == target start = position else targetNew = inTxtNew.getc while targetNew != target do target = inTxtStrict.getc position += 1 end start = position - 1 end end end finish = position - 1 offsets << [start, finish] if finish > start inTxtStrict.close inTxtNew.close offsets.collect do |s,e| sentence = text[s..e] next if sentence.nil? Segment.setup sentence, s sentence end end |
.merge_vp_chunks(chunk_list) ⇒ Object
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# File 'lib/rbbt/nlp/nlp.rb', line 35 def self.merge_vp_chunks(chunk_list) vp = nil new_chunks = [] chunk_list.each do |chunk| if chunk.type =~ /^VP/ if vp.nil? vp = chunk else vp << chunk vp.parts.concat chunk.parts end else new_chunks << vp if not vp.nil? new_chunks << chunk vp = nil end end new_chunks end |
.process_labels(marked_text, labels) ⇒ Object
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# File 'lib/rbbt/nlp/genia/sentence_splitter.rb', line 139 def self.process_labels(marked_text, labels) return "" if marked_text.empty? || labels.empty? out = "" count = 0 text_lines = marked_text.split(/\n/) line = text_lines.shift for label in labels pat = "__" + count.to_s + "__" until(line.match(pat)) do out << line line = text_lines.shift end splitted = label.chomp.to_i line.sub!(pat){ if splitted == 1 "__\n__" else "____" end } line.sub!(/__\n____ +__/, "\n") line.sub!(/______( +)__/){ $1 } count += 1 end out << line out << text_lines * "" out end |
.returnFeatures(prevWord, delimiter, nextWord) ⇒ Object
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# File 'lib/rbbt/nlp/genia/sentence_splitter.rb', line 7 def self.returnFeatures(prevWord, delimiter, nextWord) if nextWord.match(/__ss__/) nw = nextWord.sub(/__ss__/, "") else nw = nextWord end str = "" # prev. word, next word str += "pw_" + prevWord.downcase str += "\tnw_" + nw.downcase # delimiter str += "\td_" + delimiter # capitalized first char in next word # capital in next word excluding first char. if nw[0].chr == nw[0].chr.capitalize str += "\tnfc_y" nwExcluginFirst = nw[1 ... -1] if nwExcluginFirst == nil str += "\tnwcef_n" elsif nwExcluginFirst.downcase == nwExcluginFirst str += "\tnwcef_n" else str += "\tnwcef_y" end else if nw.downcase == nw str += "\tnwcef_n" else str += "\tnwcef_y" end str += "\tnfc_n" end # prev. word capital if prevWord.downcase == prevWord str += "\tpwc_n" else str += "\tpwc_y" end # number in prev. word, in next word if prevWord.match(/[0-9]/) str += "\tpwn_y" else str += "\tpwn_n" end if nw.match(/[0-9]/) str += "\tnwn_y" else str += "\tnwn_n" end # prev., next word excluding braket, camma, etc. prevWordEx = prevWord.gsub(/[()'",\[\]]/, "") nwEx = nw.gsub(/[()'",\[\]]/, "") str += "\tpwex_" + prevWordEx.downcase str += "\tnwex_" + nwEx.downcase # bracket or quatation in prev. word if prevWord.match(/()'"/) str += "\tpwcbq_y" else str += "\tpwcbq_n" end # camma in prev., next word if prevWord.match(/,/) str += "\tpwcc_y" else str += "\tpwcc_n" end if nw.match(/,/) else str += "\tnwcc_n" end # prev. word + delimiter str += "\tpw_" + prevWord + "_d_" + delimiter # prev. word ex. + delimiter + next word ex. str += "\tpwex_" + prevWordEx + "_d_" + delimiter + "_nwex_" + nwEx #str += #str += #str += str += "\n" end |