Esempio n. 1
0
        /**
         * <summary>Abstract function for adding attributes to the root word determination problem. Depending on your design
         * you can add as many attributes as possible. The number of attributes in this function should be equal to the
         * number of attributes in the function addAttributesForEmptyWords.</summary>
         * <param name="current">Current classification instance</param>
         * <param name="sentence">Input sentence.</param>
         * <param name="wordIndex">The index of the word in the sentence.</param>
         */
        protected override void AddAttributesForPreviousWords(Instance current, Sentence sentence, int wordIndex)
        {
            var word  = (AnnotatedWord)sentence.GetWord(wordIndex);
            var parse = word.GetParse();

            current.AddAttribute(new MainPosAttribute(parse));
            current.AddAttribute(new IsCapitalAttribute(word.GetName()));
        }
Esempio n. 2
0
 /**
  * <summary>Abstract function for adding attributes for empty words to the word sense disambiguation problem. The number of
  * attributes in this function should be equal to the number of attributes in the function
  * addAttributesForWords.</summary>
  * <param name="current">Current classification instance</param>
  * <param name="emptyWord">String form to place for empty words.</param>
  */
 protected override void AddAttributesForEmptyWords(Instance current, string emptyWord)
 {
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new BinaryAttribute(false));
     current.AddAttribute(new DiscreteAttribute("NULL"));
     current.AddAttribute(new DiscreteAttribute("NULL"));
     current.AddAttribute(new DiscreteAttribute("NULL"));
     current.AddAttribute(new DiscreteAttribute("NULL"));
     current.AddAttribute(new DiscreteAttribute("NULL"));
 }
Esempio n. 3
0
        /**
         * <summary>Abstract function for adding attributes to the word sense disambiguation problem. Depending on your design
         * you can add as many attributes as possible. The number of attributes in this function should be equal to the
         * number of attributes in the function addAttributesForEmptyWords.</summary>
         * <param name="current">Current classification instance</param>
         * <param name="sentence">Input sentence.</param>
         * <param name="wordIndex">The index of the word in the sentence.</param>
         */
        protected override void AddAttributesForWords(Instance current, Sentence sentence, int wordIndex)
        {
            var word = (AnnotatedWord)sentence.GetWord(wordIndex);

            var parse = word.GetParse();

            current.AddAttribute(new IsAdjectiveAttribute(parse));
            current.AddAttribute(new IsAuxiliaryVerbAttribute(parse));
            current.AddAttribute(new IsCapitalAttribute(word.GetName()));
            current.AddAttribute(new IsDateAttribute(parse));
            current.AddAttribute(new IsFractionAttribute(parse));

            current.AddAttribute(new IsHonorificAttribute(word.GetName()));
            current.AddAttribute(new IsMoneyAttribute(word.GetName()));
            current.AddAttribute(new IsNumberAttribute(parse));
            current.AddAttribute(new IsOrganizationAttribute(word.GetName()));

            current.AddAttribute(new IsProperNounAttribute(parse));
            current.AddAttribute(new IsRealAttribute(parse));
            current.AddAttribute(new IsTimeAttribute(word.GetName()));

            current.AddAttribute(new LastIGContainsPossessiveAttribute(parse));
            current.AddAttribute(new LastIGContainsTagAblativeAttribute(parse));
            current.AddAttribute(new LastIGContainsTagAccusativeAttribute(parse));
            current.AddAttribute(new LastIGContainsTagGenitiveAttribute(parse));
            current.AddAttribute(new LastIGContainsTagInstrumentalAttribute(parse));

            current.AddAttribute(new MainPosAttribute(parse));
            current.AddAttribute(new Predicate(sentence, wordIndex));
            current.AddAttribute(new RootPosAttribute(parse));
            current.AddAttribute(new RootFormAttribute(parse));
            current.AddAttribute(new CaseAttribute(parse));
        }