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--- nlp:coreference_resolution [2023/09/20 01:28] – [Papers] jmflanig
+++ nlp:coreference_resolution [2024/01/04 23:21] (current) – [Papers] jmflanig
@@ Line 7: / Line 7: @@
 ===== Papers =====
-  * [[https://cs224d.stanford.edu/reports/ClarkKevin.pdf|Clark 2016]] (Kevin Clark's preliminary work)
+  * Neural Methods
-  * [[https://arxiv.org/pdf/1606.01323.pdf|Clark & Manning 2016 - Improving Coreference Resolution by Learning Entity-Level Distributed Representations]]
+    * [[https://cs224d.stanford.edu/reports/ClarkKevin.pdf|Clark 2016]] (Kevin Clark's preliminary work)
-  * [[https://arxiv.org/pdf/1609.08667.pdf|Clark & Manning 2016 - Deep Reinforcement Learning for Mention-Ranking Coreference Models]]
+    * [[https://arxiv.org/pdf/1606.01323.pdf|Clark & Manning 2016 - Improving Coreference Resolution by Learning Entity-Level Distributed Representations]]
-  * [[https://arxiv.org/pdf/1707.07045.pdf|Lee et al 2017 - End-to-end Neural Coreference Resolution]]
+    * [[https://arxiv.org/pdf/1609.08667.pdf|Clark & Manning 2016 - Deep Reinforcement Learning for Mention-Ranking Coreference Models]]
-  * [[https://arxiv.org/abs/1804.05392|Lee et al 2018 - Higher-order Coreference Resolution with Coarse-to-fine Inference]]
+    * [[https://arxiv.org/pdf/1707.07045.pdf|Lee et al 2017 - End-to-end Neural Coreference Resolution]]
-  * [[https://arxiv.org/pdf/2009.12013.pdf|Xu & Choi 2020 - Revealing the Myth of Higher-Order Inference in Coreference Resolution]]
+    * [[https://arxiv.org/abs/1804.05392|Lee et al 2018 - Higher-order Coreference Resolution with Coarse-to-fine Inference]]
-  * [[https://arxiv.org/pdf/2305.14489.pdf|Le & Ritter 2023 - Are Large Language Models Robust Zero-shot Coreference Resolvers?]]
+    * [[https://arxiv.org/pdf/2009.12013.pdf|Xu & Choi 2020 - Revealing the Myth of Higher-Order Inference in Coreference Resolution]]
+    * [[https://arxiv.org/pdf/2101.00434.pdf|Kirstain et al 2021 - Coreference Resolution without Span Representations]]
+    * [[https://arxiv.org/pdf/2205.12644.pdf|Otmazgin et al 2023 - LINGMESS: Linguistically Informed Multi Expert Scorers for Coreference Resolution]]
+  * Prompting Methods
+    * [[https://aclanthology.org/2020.acl-main.622.pdf|Wu et al 2020 - CorefQA: Coreference Resolution as Query-based Span Prediction]]
+    * [[https://arxiv.org/pdf/2305.14489.pdf|Le & Ritter 2023 - Are Large Language Models Robust Zero-shot Coreference Resolvers?]] See their prompt in the appendix (Table 10)
+==== Event Coreference ====
+  * Overviews
+    * [[https://www.hlt.utdallas.edu/~vince/papers/ijcai18-ecoref.pdf|Event Coreference Resolution: A Survey of Two Decades of Research]]
+  * Papers
+    * [[https://aclanthology.org/D12-1045.pdf|Lee et al 2012 - Joint Entity and Event Coreference Resolution across Documents]]
+    * [[https://aclanthology.org/2020.coling-main.275.pdf|Zheng et al 2020 - Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings]]
 ===== Datasets =====