Missing test.predicted.xml after running decoding with SEMAFOR

[yongzx]

May I know what should I expect after running decoding with SEMAFOR? I thought I would receive test.predicted.xml, or a document where it stores the predicted arguments as I learn from running score.sh but I couldn't find the file in /home/zxy485/zxy485gallinahome/week1/pyfn/experiments/xp_001/data

Codes that I run:

$ ./semafor.sh -m decode -x 001 -s test
ROFAMES TRAIN MODE OPTIONS
  JAVA_HOME_BIN = /usr/bin/
  CLASSPATH = /home/zxy485/zxy485gallinahome/week1/pyfn/scripts/../lib/semafor/bin/../rofames-1.0.0.jar
  XP_DIR = /home/zxy485/zxy485gallinahome/week1/pyfn/scripts/../experiments/xp_001
  splits = test
  kbest = 1
  max_ram = 8g
  with_hierarchy = FALSE
  LOGS_DIR = /home/zxy485/zxy485gallinahome/week1/pyfn/scripts/../log

Decoding with ROFAMES...
[INFO] ScoreWithGoldFrames:44  - Initializing parser for scoring...
[INFO] ScoreWithGoldFrames:45  - Extracting dependency-parsed testing sentences...
[INFO] ScoreWithGoldFrames:46  - 	from: /home/zxy485/zxy485gallinahome/week1/pyfn/scripts/../experiments/xp_001/data/test.sentences.conllx
[INFO] ScoreWithGoldFrames:49  - Done extracting dependency-parsed testing sentences
[INFO] ScoreWithGoldFrames:50  - Extracting frames...
[INFO] ScoreWithGoldFrames:51  - 	from: /home/zxy485/zxy485gallinahome/week1/pyfn/scripts/../experiments/xp_001/data/test.frames
[INFO] ScoreWithGoldFrames:55  - Done extracting frames
[INFO] ScoreWithGoldFrames:56  - Extracting argument identification alphabet...
[INFO] ScoreWithGoldFrames:57  - 	from: /home/zxy485/zxy485gallinahome/week1/pyfn/scripts/../experiments/xp_001/model/parser.conf
0 100000 200000 300000 400000 500000 600000 700000 800000 900000 1000000 1100000 1200000 1300000 1400000 1500000 1600000 1700000 1800000 1900000 2000000 2100000 2200000 2300000 2400000 2500000 2600000 2700000
[INFO] ScoreWithGoldFrames:60  - Done extracting argument identification alphabet
[INFO] ScoreWithGoldFrames:61  - Extracting Frame2FrameElement dictionary...
[INFO] ScoreWithGoldFrames:62  - 	from: /home/zxy485/zxy485gallinahome/week1/pyfn/scripts/../experiments/xp_001/data/framenet.frame.element.map
[INFO] ScoreWithGoldFrames:64  - Done extracting Frame2FrameElement dictionary
[INFO] ScoreWithGoldFrames:65  - Initializing decoder...
[INFO] ScoreWithGoldFrames:66  - 	from: /home/zxy485/zxy485gallinahome/week1/pyfn/scripts/../experiments/xp_001/model/argmodel.dat
[INFO] ScoreWithGoldFrames:67  - 	and from: /home/zxy485/zxy485gallinahome/week1/pyfn/scripts/../experiments/xp_001/model/parser.conf
[INFO] ScoreWithGoldFrames:70  - Done initializing decoder
[INFO] ScoreWithGoldFrames:74  - Done initializing parser
[INFO] ScoreWithGoldFrames:86  - Scoring with gold frames...
[INFO] ScoreWithGoldFrames:87  - Predicting arguments...
[INFO] StaticSemafor:111 - sentences.size = 1247
[INFO] StaticSemafor:112 - frameSplitsMap.size = 1247
[INFO] StaticSemafor:129 - There are 0 sentences without frame annotation
[INFO] ScoreWithGoldFrames:91  - Done predicting arguments

Directory and Files in /home/zxy485/zxy485gallinahome/week1/pyfn/experiments/xp_001

# data/
dev.frames
dev.sentences
framenet.frame.element.map
frames.xml
frRelations.xml
test.frame.elements
test.frames
test.gold.xml
test.sentences
test.sentences.conllx
train.frame.elements
train.sentences
train.sentences.conllx
train.sentences.conllx.flattened

# model/
argmodel.dat
featurecache.jobj
parser.conf
train.events.bin
train.sentences.frame.elements.spans

[yongzx]

Sorry about opening this issue. I realize my mistake. The file generated is test.frame.elements.