Comments (3)
{"token": ["Alan", "Bean", ",", "who", "was", "part", "of", "Apollo", "12", ",", "was", "born", "in", "Wheeler", ",", "Texas", "on", "March", "15th", ",", "1932", "and", "is", "now", "retired", "."], "relation": "was a crew member of", "h": {"pos": [1, 2]}, "t": {"pos": [8, 9]}}
{"token": ["Alan", "Bean", ",", "who", "was", "part", "of", "Apollo", "12", ",", "was", "born", "in", "Wheeler", ",", "Texas", "on", "March", "15th", ",", "1932", "and", "is", "now", "retired", "."], "relation": "birthPlace", "h": {"pos": [1, 2]}, "t": {"pos": [15, 16]}}
{"token": ["Alan", "Bean", "is", "a", "citizen", "of", "the", "United", "State", "and", "graduated", "from", "UT", "Austin", "in", "1955", ".", "He", "was", "a", "crew", "member", "of", "Apollo", "12", "and", "is", "currently", "retired", "."], "relation": "was a crew member of", "h": {"pos": [1, 2]}, "t": {"pos": [24, 25]}}
{"token": ["Alan", "Bean", "is", "a", "United", "States", "citizen", "born", "in", "Wheeler", ",", "Texas", "on", "15", "March", "1932", "and", "who", "graduated", "from", "UT", "Austin", "BS", "in", "1955", "."], "relation": "nationality", "h": {"pos": [1, 2]}, "t": {"pos": [5, 6]}}
{"token": ["Alan", "Bean", "is", "a", "United", "States", "citizen", "born", "in", "Wheeler", ",", "Texas", "on", "15", "March", "1932", "and", "who", "graduated", "from", "UT", "Austin", "BS", "in", "1955", "."], "relation": "birthPlace", "h": {"pos": [1, 2]}, "t": {"pos": [11, 12]}}
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We change it like this
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Okay, thanks
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Related Issues (20)
- should I pre-process raw data I download from opennre? When I train nyt10, it occur keyerror HOT 1
- Beyond Normal Situations?
- Decreasing NYT10 Performance at every training epoch HOT 4
- some problem on computation of f1 score HOT 2
- F1 on dataset semeval HOT 4
- The comparison with previous SOTA seems unfair HOT 1
- the format of dataset NYT HOT 2
- This is Relation Classification Not Relation Extraction HOT 1
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- semeval
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