allanj

package corenlp.process;

import java.io.BufferedReader;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.ArrayList;
import java.util.List;

import edu.stanford.nlp.ling.CoreLabel;
import edu.stanford.nlp.parser.nndep.DependencyParser;

allanj

def iob_iobes(tags):
    """
    IOB2 (BIO) -> IOBES
    """
    new_tags = []
    for i, tag in enumerate(tags):
        if tag == 'O':
            new_tags.append(tag)
        elif tag.split('-')[0] == 'B':
            if i + 1 != len(tags) and \

allanj

"""
IOB1:  O I I B I
IOB2:  O B I B I
"""

from typing import List

def iob2(tags: List[str]):
    """
    Check that tags have a valid IOB format.

allanj

//main.java
//First of all, after create `GlobalNetworkParam` object.
// run the following code:
GlobalNetworkParam gnp = new GlobalNetworkParam(optimizer, gnnp);
gnp.setStoreFeatureReps();


/************************
   After the model has been trained.
   model.train(...)

allanj

# 
# @author: Allan
# 



def convert(input, output):
    from gensim.models.keyedvectors import KeyedVectors
    embedding = KeyedVectors.load_word2vec_format(input, binary=True)
    f= open(output, 'w', encoding='utf-8')

allanj

require 'nn'
require 'dpnn'
require 'rnn'
require 'nngraph'

local opt = {
  n_seq = 3,
  d_hid = 4,
  d_mem = 20,
  n_batch = 2,

allanj

package org.statnlp.example.nerelation.struct;

import org.statnlp.commons.types.Sentence;

import gnu.trove.list.TIntList;
import gnu.trove.list.array.TIntArrayList;
import gnu.trove.map.TIntObjectMap;
import gnu.trove.map.hash.TIntObjectHashMap;
import gnu.trove.stack.TIntStack;