GentleZhu / ReMine

Integrating Local Context and Global Cohesiveness for Open Information Extraction(WSDM'19)
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Is the output of default model very poor? #25

Open ljch2018 opened 5 years ago

ljch2018 commented 5 years ago
1       man | have , | medical
1       man | have , | neglect
1       risk of Minnesota | | state
1       man | have , | month
1       health | | operation
1       health | | Home
2       people | have , | Conakry
2       people | have , | capital
2       people | have , | Hospital
3       Democrat | | Nebraska
4       New | by , , , | something
4       New | | shelter
4       day | | coping
4       New | | airport
4       day | | floodwater
4       New | | car
4       day | | home
4       something | | for
GentleZhu commented 5 years ago

Hi Ljch,

Thanks for your pointing out. I quickly checked my local example output of the same corpus, it is: 1 three man | have die , | medical error 1 three man | have die , in , | the previous month 1 Gov. Tim Pawlenty of Minnesota | order , | the state health department 1 Gov. Tim Pawlenty of Minnesota | order , | this month 1 Gov. Tim Pawlenty of Minnesota | order , | day-to-day operation 1 Gov. Tim Pawlenty of Minnesota | order , at , | Minneapolis Veterans Home 2 wounded people | have , be , admit , and , | Conakry 2 wounded people | have , be , admit , and , in , | the capital of Guinea 2 wounded people | have , be , admit , and , at , | Donka Hospital 4 Westchester | watch , by , of , of , wait , | a water pump 4 Westchester | watch , by , of , of , wait , for , | power 4 Westchester | of , | Mamaroneck 4 a tough day | of , watch , pour into , | home on the 4 Westchester | watch , by , of , | road 4 a tough day | of , watch , | floodwater 4 Westchester | watch , | a refrigerator float 4 a tough day | of , | coping

I may check if I upload the wrong model or other possible errors.

xikakera commented 3 years ago

same error

GentleZhu commented 3 years ago

I will take a look @xikakera