(Lu et al. 2016) Tags: Visual edit apiedit |
(Adding categories) |
||
(One intermediate revision by one other user not shown) | |||
Line 94: | Line 94: | ||
! colspan="3" |<center>CEAF</center> |
! colspan="3" |<center>CEAF</center> |
||
! colspan="3" |<center>BLANC</center> |
! colspan="3" |<center>BLANC</center> |
||
+ | !Average |
||
!Note |
!Note |
||
!Ref |
!Ref |
||
Line 110: | Line 111: | ||
!P |
!P |
||
!F |
!F |
||
+ | ! |
||
! |
! |
||
! |
! |
||
Line 126: | Line 128: | ||
|40.61 |
|40.61 |
||
|33.30 |
|33.30 |
||
+ | | |
||
− | |Table 4, notice that |
+ | |Table 4, notice that the columns are P-R-F instead of R-P-F |
|Lu et al. (2016)<ref name=":0">Lu, J., Venugopal, D., Gogate, V., & Ng, V. (2016). Joint Inference for Event Coreference Resolution. ''Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers'', 3264–3275.</ref> |
|Lu et al. (2016)<ref name=":0">Lu, J., Venugopal, D., Gogate, V., & Ng, V. (2016). Joint Inference for Event Coreference Resolution. ''Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers'', 3264–3275.</ref> |
||
+ | |- |
||
+ | |Multi-sieve |
||
+ | |40.68 |
||
+ | |48.08 |
||
+ | |44.07 |
||
+ | |42.82 |
||
+ | |48.29 |
||
+ | |45.39 |
||
+ | |33.04 |
||
+ | |46.60 |
||
+ | |38.67 |
||
+ | |29.72 |
||
+ | |39.27 |
||
+ | |33.14 |
||
+ | |40.32 |
||
+ | |Table 4, last line |
||
+ | |Lu et al. (2015)<ref>Lu, J., & Ng, V. (2015). Event Coreference Resolution with Multi-Pass Sieves, 3996–4003.</ref> |
||
|} |
|} |
||
Line 180: | Line 200: | ||
<references />[[Category:Event coreference resolution]] |
<references />[[Category:Event coreference resolution]] |
||
|} |
|} |
||
+ | [[Category:State of the art]] |
Latest revision as of 11:04, 4 November 2018
English ACE 2005 (within document)[]
Model | Note | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
R | P | F | R | P | F | R | P | F | ||
Bejan and Harabagiu (2010)[1] | 83.4 | 84.2 | 83.8 | 76.9 | 76.5 | 76.7 | 43.3 | 47.1 | 45.1 | Row 7, Table 3 |
Chinese ACE 2005 (within document)[]
Model | Note | Ref | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R | P | F | R | P | F | R | P | F | R | P | F | |||
MLN | TODO | Lu et al. (2016)[2] |
English KBP 2015 (within document)[]
Model | Average | Note | Ref | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R | P | F | R | P | F | R | P | F | R | P | F | ||||
MLN | 38.21 | 47.07 | 42.18 | 41.63 | 50.27 | 45.54 | 33.48 | 47.53 | 39.29 | 28.96 | 40.61 | 33.30 | Table 4, notice that the columns are P-R-F instead of R-P-F | Lu et al. (2016)[2] | |
Multi-sieve | 40.68 | 48.08 | 44.07 | 42.82 | 48.29 | 45.39 | 33.04 | 46.60 | 38.67 | 29.72 | 39.27 | 33.14 | 40.32 | Table 4, last line | Lu et al. (2015)[3] |
ECB (cross document)[]
Model | Note | Ref | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R | P | F | R | P | F | R | P | F | R | P | F | |||
Joint entity-event | 61.2 | 75.9 | 67.8 | 53.9 | 79.0 | 64.1 | 45.2 | 30.0 | 35.8 | 67.1 | 82.2 | 72.3 | Last row, Table 4 | Lee et al. (2012)[4] |
ECB+ (cross document)[]
See also[]
References[]
- ↑ Bejan, C. A., & Harabagiu, S. (2010). Unsupervised Event Coreference Resolution with Rich Linguistic Features. In ACL 2010 (pp. 1412–1422).
- ↑ 2.0 2.1 Lu, J., Venugopal, D., Gogate, V., & Ng, V. (2016). Joint Inference for Event Coreference Resolution. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 3264–3275.
- ↑ Lu, J., & Ng, V. (2015). Event Coreference Resolution with Multi-Pass Sieves, 3996–4003.
- ↑ Lee, H., Recasens, M., Chang, A., Surdeanu, M., & Jurafsky, D. (2012). Joint Entity and Event Coreference Resolution across Documents. (EMNLP-CoNLL 2012) Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, (July), 489–500.
|}