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courses:rg:coreference-resolution-haghihi-klein [2010/11/08 07:12] popel created (too late for "before reading", sorry) |
courses:rg:coreference-resolution-haghihi-klein [2011/01/09 22:32] (current) kirschner |
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| ===== Comments ===== | ===== Comments ===== | ||
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| + | * We went throught the whole paper, but we skimmed Section 4 very quickly, because none of us knows enough of graphical models theory. | ||
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| + | \\ | ||
| + | > The method can be also used as a Named Entity Recognition (NER) system. | ||
| + | > The improvement of the current best results, reffering to all main metics used in coreference resolution task, is quite impressive | ||
| + | > //< | ||
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| + | ===== What do we like about the paper ===== | ||
| + | * best reported results so far on the task (measured by MUC,< | ||
| + | * They compare their results with other published results (on different data sets) using several metrics. | ||
| + | * They do end-to-end coreference resolution task, i.e. they don't exploit true mentions from the gold annotation. | ||