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Event Coreference Resolution: A Survey of Two Decades of Research
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
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Being a core event-based task, event coreference resolution is less studied but arguably more challenging than entity coreference resolution. ...
Recent years have seen a gradual shift of focus from entity-based tasks to event-based tasks in information extraction research. ...
ACE 2005, the most widely used version of the ACE corpora for within-document event coreference evaluations, includes both English and Chinese documents. ...
doi:10.24963/ijcai.2018/773
dblp:conf/ijcai/LuN18
fatcat:x4d7nnuhgzbhhfcu6e2dlwln5a
Bootstrapped Training of Event Extraction Classifiers
2012
Conference of the European Chapter of the Association for Computational Linguistics
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Most event extraction systems are trained with supervised learning and rely on a collection of annotated documents. ...
We aim to rapidly train a state-of-the-art event extraction system using a small set of "seed nouns" for each event role, a collection of relevant (in-domain) and irrelevant (outof-domain) texts, and a ...
Propagating Labels with Coreference To enrich the automatically labeled training instances, we also propagate the event role labels across coreferent noun phrases within a document. ...
dblp:conf/eacl/HuangR12
fatcat:dovkkihaofalfgrvjobtawzjw4
A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution
[article]
2015
arXiv
pre-print
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widely used in supervised coreference models to guide the generative clustering processing for better event clustering both within and across documents. ...
Experiments on the ECB+ corpus show that our model outperforms state-of-the-art methods for both within- and cross-document event coreference resolution. ...
It is usually considered a strong baseline for event coreference resolution. • AGGLOMERATIVE: a supervised clustering method for within-document event coreference (Chen et al., 2009) . ...
arXiv:1504.05929v2
fatcat:svbkjzmi65fptnnmr7shh36smi
A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution
2015
Transactions of the Association for Computational Linguistics
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widely used in supervised coreference models to guide the generative clustering processing for better event clustering both within and across documents. ...
Experiments on the ECB+ corpus show that our model outperforms state-of-the-art methods for both within- and cross-document event coreference resolution. ...
It is usually considered a strong baseline for event coreference resolution. • AGGLOMERATIVE: a supervised clustering method for within-document event coreference (Chen et al., 2009) . ...
doi:10.1162/tacl_a_00155
fatcat:ylirhc6b25b4tdm2e2d36tizrq
Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events
2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
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Among event mentions in the same chain, we distinguish within-and cross-document event coreference links by using two distinct pairwise classifiers, trained separately to capture differences in feature ...
We introduce a novel iterative approach for event coreference resolution that gradually builds event clusters by exploiting inter-dependencies among event mentions within the same chain as well as across ...
The neural net classifiers were trained using all coreferent event mention pairs including both within-document and cross-document ones. ...
doi:10.18653/v1/d17-1226
dblp:conf/emnlp/ChoubeyH17a
fatcat:vf35lweuuncujevt5horgxbi54
Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events
[article]
2017
arXiv
pre-print
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Among event mentions in the same chain, we distinguish within- and cross-document event coreference links by using two distinct pairwise classifiers, trained separately to capture differences in feature ...
distributions of within- and cross-document event clusters. ...
The neural net classifiers were trained using all coreferent event mention pairs including both within-document and cross-document ones. ...
arXiv:1707.07344v1
fatcat:m6ndz6wsqrelja2dqep6z6egze
Event Coreference Resolution Using Neural Network Classifiers
[article]
2018
arXiv
pre-print
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This paper presents a neural network classifier approach to detecting both within- and cross- document event coreference effectively using only event mention based features. ...
cross-document event coreference resolution. ...
There are two types of event coreference resolution, within-document (WD) and cross-document (CD) event resolution. ...
arXiv:1810.04216v1
fatcat:lppm76h45rezrf4wvj5jxjnwl4
Entity, Relation, and Event Extraction with Contextualized Span Representations
2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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For instance, propagating span representations via predicted coreference links can enable the model to disambiguate challenging entity mentions. ...
We examine the capabilities of a unified, multitask framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction. ...
In coreference propagation, a span's neighbors in the graph are its likely coreference antecedents. In relation propagation, neighbors are related entities within a sentence. ...
doi:10.18653/v1/d19-1585
dblp:conf/emnlp/WaddenWLH19
fatcat:jsscal7pajayhlwbidqqeakun4
Revisiting the Evaluation for Cross Document Event Coreference
2016
International Conference on Computational Linguistics
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Our new evaluation setting better reflects the corpus-wide information aggregation ability of CDEC systems by separating event-coreference decisions made across documents from those made within a document ...
Cross document event coreference (CDEC) is an important task that aims at aggregating eventrelated information across multiple documents. ...
This work was supported by Contract HR0011-15-2-0025 with the US Defense Advanced Research Projects Agency (DARPA). Approved for Public Release, Distribution Unlimited. ...
dblp:conf/coling/UpadhyayGCR16
fatcat:q66qolut2jdk3a55wounkwwrka
Entity, Relation, and Event Extraction with Contextualized Span Representations
[article]
2019
arXiv
pre-print
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For instance, propagating span representations via predicted coreference links can enable the model to disambiguate challenging entity mentions. ...
We examine the capabilities of a unified, multi-task framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction. ...
In coreference propagation, a span's neighbors in the graph are its likely coreference antecedents. In relation propagation, neighbors are related entities within a sentence. ...
arXiv:1909.03546v2
fatcat:e6s2mtk2tne5jhzmkcan4oo2tu
A general framework for information extraction using dynamic span graphs
2019
Proceedings of the 2019 Conference of the North
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The dynamic span graph allows coreference and relation type confidences to propagate through the graph to iteratively refine the span representations. ...
We introduce a general framework for several information extraction tasks that share span representations using dynamically constructed span graphs. ...
information from relations and coreferences. ...
doi:10.18653/v1/n19-1308
dblp:conf/naacl/LuanWHSOH19
fatcat:fwvmu7ifz5d6fb36xcy5ho6igu
Identity and Granularity of Events in Text
[article]
2017
arXiv
pre-print
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We compare these descriptions to solve a cross-document event coreference task. Our com- ponent approach to event semantics defines identity and granularity of events at different levels. ...
It performs close to state-of-the-art approaches on the cross-document event coreference task, while outperforming other works when assuming similar quality of event detection. ...
", challenge 4.4 -Area Intelligent Information Management. ...
arXiv:1704.04259v1
fatcat:cot23g3ma5bhvopszwy4py3z3u
A General Framework for Information Extraction using Dynamic Span Graphs
[article]
2019
arXiv
pre-print
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The dynamic span graph allows coreference and relation type confidences to propagate through the graph to iteratively refine the span representations. ...
We introduce a general framework for several information extraction tasks that share span representations using dynamically constructed span graphs. ...
information from relations and coreferences. ...
arXiv:1904.03296v1
fatcat:mq6dvql3qfhfnmfqgu5kqcjhsq
Graph-Based Decoding for Event Sequencing and Coreference Resolution
[article]
2018
arXiv
pre-print
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Events in text documents are interrelated in complex ways. In this paper, we study two types of relation: Event Coreference and Event Sequencing. ...
Empirically, our event coreference system has achieved state-of-the-art performance on the TAC-KBP 2015 event coreference task and our event sequencing system beats a strong temporal-based, oracle-informed ...
., 2012; Cybulska and Vossen, 2014) focuses on both within-document and cross-document coreference. ...
arXiv:1806.05099v1
fatcat:xkdzw3keeze3vglf6bfsuleh2m
End-to-End Neural Event Coreference Resolution
[article]
2020
arXiv
pre-print
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Traditional event coreference systems usually rely on pipeline framework and hand-crafted features, which often face error propagation problem and have poor generalization ability. ...
In this paper, we propose an End-to-End Event Coreference approach -- E3C neural network, which can jointly model event detection and event coreference resolution tasks, and learn to extract features from ...
Joint inference over a lightly supervised information extraction pipeline: Towards event coreference resolution for resource-scarce languages. ...
arXiv:2009.08153v1
fatcat:adytwu7sp5duzmvsifej6mqwt4
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