Package relations

Class SenAnalyzer

java.lang.Object

relations.SenAnalyzer

public class SenAnalyzer
extends Object

Author:

Chinh

Field Summary

Fields

Modifier and Type	Field	Description
Map<String,String>	proIDMap

Constructor Summary

Constructors

Constructor	Description
SenAnalyzer(SenSimplifier simp)	For creating new dictionary only
SenAnalyzer(DBUtils sr, DBUtils db_dest)	Use given database

Method Summary

Modifier and Type	Method	Description
List<Chunk>[]	analyze(String id)	Main method to analyze text
void	closeDB()	Close database [never called]
List<Word>	detectTrg(String txt)
int	findEquiv(String txt)	DO NOT USE! This method is not correct due to some changes.
Word	findTrigger(int[] loc, List<Word> relWord)
List<Word>	getModifier(String[] tokens)	Get list of prepositions of a sentence
List<Word>	getPreps(String[] tokens)	Get list of prepositions of a sentence
void	init()	Loading dictionaries
boolean	initAbstract(String pid)
boolean	initData(String id)	Workflow: 1.
static void	main(String[] args)
void	printChunk(List<Chunk> ls)
void	printInChunks()
void	processSentence(String txt, String[] token, int idx)
void	setDB(DBUtils dbs)	Set default database
List<TData>[]	splitData(List<TData> list, int[] pos)	Split list of Data (Trigger/Protein) based on number of sentences
List<EData>[]	splitEvents(List<EData> list)
List<Word>[]	splitTrg(List<Word> list, int[] pos)
void	testAll()
void	testChunks()
void	testSentence()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

proIDMap

public Map<String,String> proIDMap

Constructor Detail

SenAnalyzer

public SenAnalyzer(SenSimplifier simp)

For creating new dictionary only

Parameters:

simp - : SenSimplifier

SenAnalyzer

public SenAnalyzer(DBUtils sr,
                   DBUtils db_dest)

Use given database

Parameters:

dbs - : DBUtils

Method Detail

setDB

public void setDB(DBUtils dbs)

Set default database

Parameters:

dbs -

closeDB

public void closeDB()

Close database [never called]

init

public void init()

Loading dictionaries

initAbstract

public boolean initAbstract(String pid)

initData

public boolean initData(String id)

Workflow: 1. Splitting abstract/parahraph into single sentences 2. Detecting triggers and proteins belong to each sentence 3. Assign trigger locations (offset to long sentence), protein ID

Parameters:

id - : abstract/paragrap ID Output: list of triggers and proteins stored into

analyze

public List<Chunk>[] analyze(String id)

Main method to analyze text

Parameters:

id - : abstract ID

Returns:

: array list of chunk + triggers and proteins per sentence

splitTrg

public List<Word>[] splitTrg(List<Word> list,
                             int[] pos)

splitData

public List<TData>[] splitData(List<TData> list,
                               int[] pos)

Split list of Data (Trigger/Protein) based on number of sentences

Parameters:

list - : trigger/protein

testSentence

public void testSentence()

detectTrg

public List<Word> detectTrg(String txt)

processSentence

public void processSentence(String txt,
                            String[] token,
                            int idx)

findEquiv

public int findEquiv(String txt)

DO NOT USE! This method is not correct due to some changes.

Parameters:

txt -

Returns:

findTrigger

public Word findTrigger(int[] loc,
                        List<Word> relWord)

splitEvents

public List<EData>[] splitEvents(List<EData> list)

testAll

public void testAll()

getPreps

public List<Word> getPreps(String[] tokens)

Get list of prepositions of a sentence

Parameters:

tokens -

Returns:

getModifier

public List<Word> getModifier(String[] tokens)

Get list of prepositions of a sentence

Parameters:

tokens -

Returns:

printChunk

public void printChunk(List<Chunk> ls)

testChunks

public void testChunks()

printInChunks

public void printInChunks()

main

public static void main(String[] args)