diff options
| -rw-r--r-- | README.md | 1 | ||||
| -rwxr-xr-x | lib/nlp_ruby.rb | 1 | ||||
| -rw-r--r-- | lib/nlp_ruby/hg.rb | 131 | ||||
| -rw-r--r-- | lib/nlp_ruby/semirings.rb | 10 | ||||
| -rw-r--r-- | nlp_ruby.gemspec | 4 | ||||
| -rw-r--r-- | test/dag/example.json (renamed from test/dags/example.json) | 0 | ||||
| -rw-r--r-- | test/dag/simple.json (renamed from test/dags/simple.json) | 0 | ||||
| -rw-r--r-- | test/hg/hg-toy.json | 32 | ||||
| -rw-r--r-- | test/hg/hg.json | 16874 | ||||
| -rwxr-xr-x | test/test_dag.rb (renamed from test/test_dags.rb) | 13 | ||||
| -rwxr-xr-x | test/test_hg.rb | 25 |
11 files changed, 17082 insertions, 9 deletions
@@ -7,6 +7,7 @@ The .gem can be found here: https://rubygems.org/gems/nlp_ruby bleu.rb : BLEU implementation, also per-sentence-BLEU dag.rb : implementation of a directed acyclic graph and various algorithms fileutil.rb : file utilities + hg.rb : data structures and algorithms (viterbi currently) for hypergraphs misc.rb : misc. stuff (e.g. monkey patches for Array and String) semirings.rb : semirings (used in dags.rb) SparseVector.rb : sparse vectors for ruby, based on Hash class diff --git a/lib/nlp_ruby.rb b/lib/nlp_ruby.rb index a3f9f1a..f57a302 100755 --- a/lib/nlp_ruby.rb +++ b/lib/nlp_ruby.rb @@ -9,6 +9,7 @@ require 'nlp_ruby/dag' require 'nlp_ruby/semirings' require 'nlp_ruby/bleu' require 'nlp_ruby/misc' +require 'nlp_ruby/hg' STDIN.set_encoding 'utf-8' STDOUT.set_encoding 'utf-8' diff --git a/lib/nlp_ruby/hg.rb b/lib/nlp_ruby/hg.rb new file mode 100644 index 0000000..b49cc6e --- /dev/null +++ b/lib/nlp_ruby/hg.rb @@ -0,0 +1,131 @@ +#!/usr/bin/env ruby + +require 'nlp_ruby' +require 'json' + +module HG + + +class HG::Node + attr_accessor :label, :cat, :outgoing, :incoming, :score + + def initialize label=nil, cat=nil, outgoing=[], incoming=[], score=nil + @label = label + @cat = cat + @outgoing = outgoing + @incoming = incoming + @score = nil + end + + def to_s + "Node<label:\"#{@label}\", cat:\"#{@cat}\", outgoing:#{@outgoing.size}, incoming:#{@incoming.size}>" + end +end + +class HG::Hypergraph + attr_accessor :nodes, :edges + + def initialize nodes=[], edges=[] + @nodes = nodes + @edges = edges + end + + def arity + @edges.map { |e| e.arity }.max + end + + def to_s + "Hypergraph<nodes:[#{@nodes.to_s}], edges:[#{@edges.to_s}], arity:#{arity}>" + end +end + +class HG::Hyperedge + attr_accessor :head, :tails, :weight, :f, :mark + + def initialize head=nil, tails=[], weight=0.0, f={} + @head = head + @tails = tails + @weight = weight + @f = f + @mark = 0 + end + + def arity + return @tails.size + end + + def marked? + arity == @mark + end + + def to_s + "Hyperedge<head:\"#{@head.label}\", tails:#{@tails.map{|n|n.label}}, arity:#{arity}, weight:#{@weight}, f:#{f.to_s}, mark:#{@mark}>" + end +end + +def HG::topological_sort nodes + sorted = [] + s = nodes.reject { |n| !n.incoming.empty? } + while !s.empty? + sorted << s.shift + sorted.last.outgoing.each { |e| + next if e.marked? + e.mark += 1 + s << e.head if e.head.incoming.reject{ |f| f.mark==f.arity }.empty? + } + end + return sorted +end + +def HG::init nodes, semiring, root + nodes.each { |n| n.score=semiring.null } + root.score = semiring.one +end + +def HG::viterbi hypergraph, root, semiring=ViterbiSemiring.new + toposorted = topological_sort hypergraph.nodes + init toposorted, semiring, root + toposorted.each { |n| + n.incoming.each { |e| + s = semiring.one + e.tails.each { |m| + s = semiring.multiply.call(s, m.score) + } + n.score = semiring.add.call(n.score, semiring.multiply.call(s, e.weight)) + } + } +end + +def HG::read_hypergraph_from_json fn, semiring=RealSemiring.new, log_weights=false + nodes = [] + edges = [] + nodes_by_label = {} + nodes_by_index = [] + h = JSON.parse File.new(fn).read + w = SparseVector.from_h h['weights'] + h['nodes'].each { |i| + n = Node.new i['label'], i['cat'] + nodes << n + nodes_by_label[n.label] = n + nodes_by_index << n + } + h['edges'].each { |i| + e = Hyperedge.new nodes_by_label[i['head']], i['tails'].map{|j| nodes_by_label[j]}.to_a, semiring.convert.call(i['weight'].to_f) + e.f = SparseVector.from_h i['f'] + if log_weights + e.weight = Math.exp(w.dot(e.f)) + else + e.weight = w.dot(e.f) + end + e.tails.each { |m| + m.outgoing << e + } + e.head.incoming << e + edges << e + } + return Hypergraph.new(nodes, edges), nodes_by_label, nodes_by_index +end + + +end #module + diff --git a/lib/nlp_ruby/semirings.rb b/lib/nlp_ruby/semirings.rb index 83551a9..fda4683 100644 --- a/lib/nlp_ruby/semirings.rb +++ b/lib/nlp_ruby/semirings.rb @@ -26,6 +26,16 @@ class ViterbiSemiring < Semiring end end +class ViterbiLogSemiring < Semiring + def initialize + @add = Proc.new { |a,b| [a,b].max } + @multiply = Proc.new { |a,b| a+b } + @one = 0.0 + @null = -1.0/0.0 + @convert = Proc.new { |v| v } + end +end + class InsideSemiring < Semiring def initialize @add = Proc.new { |a,b| a+b } diff --git a/nlp_ruby.gemspec b/nlp_ruby.gemspec index 8f95e3f..85a3c9b 100644 --- a/nlp_ruby.gemspec +++ b/nlp_ruby.gemspec @@ -1,7 +1,7 @@ Gem::Specification.new do |s| s.name = 'nlp_ruby' - s.version = '0.3' - s.date = '2014-02-14' + s.version = '0.4' + s.date = '2014-02-25' s.summary = 'nlp_ruby' s.description = 'NLP related tools and classes' s.authors = ['Patrick Simianer'] diff --git a/test/dags/example.json b/test/dag/example.json index 3763359..3763359 100644 --- a/test/dags/example.json +++ b/test/dag/example.json diff --git a/test/dags/simple.json b/test/dag/simple.json index 16a2ef0..16a2ef0 100644 --- a/test/dags/simple.json +++ b/test/dag/simple.json diff --git a/test/hg/hg-toy.json b/test/hg/hg-toy.json new file mode 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Test::Unit::TestCase def test_viterbi semiring = ViterbiSemiring.new - graph, nodes_by_label = DAG::read_graph_from_json('test/dags/example.json', semiring) + graph, nodes_by_label = DAG::read_graph_from_json('test/dag/example.json', semiring) DAG::viterbi(graph, semiring, nodes_by_label['0']) assert_equal(nodes_by_label['100'].score, 0.003) end - # no negative weights here! def test_dijkstra semiring = RealSemiring.new - graph, nodes_by_label = DAG::read_graph_from_json('test/dags/example.json', semiring) + graph, nodes_by_label = DAG::read_graph_from_json('test/dag/example.json', semiring) DAG::dijkstra(graph, semiring, nodes_by_label['0']) assert_equal(nodes_by_label['100'].score, 0.5) end def test_bellman_ford semiring = RealSemiring.new - graph, nodes_by_label = DAG::read_graph_from_json('test/dags/example.json', semiring) + graph, nodes_by_label = DAG::read_graph_from_json('test/dag/example.json', semiring) DAG::bellman_ford(graph, semiring, nodes_by_label['0']) assert_equal(nodes_by_label['100'].score, 0.5) end def test_floyd - graph, nodes_by_label = DAG::read_graph_from_json('test/dags/example.json') + graph, _ = DAG::read_graph_from_json('test/dag/example.json') d = DAG::floyd(graph) assert_equal(d[0][graph.size-1], 0.5) end def test_dfs - graph, nodes_by_label = DAG::read_graph_from_json('test/dags/example.json') + _, nodes_by_label = DAG::read_graph_from_json('test/dag/example.json') assert_equal(nodes_by_label['100'], DAG::dfs(nodes_by_label['0'], '100')) end def test_bfs - graph, nodes_by_label = DAG::read_graph_from_json('test/dags/example.json') + _, nodes_by_label = DAG::read_graph_from_json('test/dag/example.json') assert_equal(nodes_by_label['100'], DAG::bfs(nodes_by_label['0'], '100')) end end diff --git a/test/test_hg.rb b/test/test_hg.rb new file mode 100755 index 0000000..50fedc0 --- /dev/null +++ b/test/test_hg.rb @@ -0,0 +1,25 @@ +#!/usr/bin/env ruby + +require 'nlp_ruby' +require 'test/unit' + + +class TestHG < Test::Unit::TestCase + + def test_viterbi + semiring = ViterbiSemiring.new + hypergraph, nodes_by_label, nodes_by_index = HG::read_hypergraph_from_json('test/hg/hg.json', semiring, true) + HG::viterbi hypergraph, nodes_by_label['root'], semiring + assert_equal('Goal', nodes_by_index.last.cat) + assert_equal(228.95, Math.log(nodes_by_index.last.score).round(2)) + # do all operations in log space + semiring = ViterbiLogSemiring.new + hypergraph, nodes_by_label, nodes_by_index = HG::read_hypergraph_from_json('test/hg/hg.json', semiring) + HG::viterbi hypergraph, nodes_by_label['root'], semiring + assert_equal('Goal', nodes_by_index.last.cat) + assert_equal(228.95, nodes_by_index.last.score.round(2)) + assert_equal hypergraph.nodes.size, 221 + assert_equal hypergraph.edges.size, 16640 + end +end + |