Papers Event Coreference Resolution
“Event Coreference Resolution” 태그가 달린 논문 72편 · 필터 해제
Placing (Historical) Events on a Timeline: A Classification cum Co-ref Resolution Approach
The event timeline provides one of the most effective ways to visualize the important historical events that occurred over a period of time, presenting the insights that may not be so apparent from reading the equivalent…
Articlescoreference-resolutionCoreference ResolutionEvent Coreference Resolution+2How Good is a Recommender in Machine-Assisted Cross Document Event Coreference Resolution Annotation?
Annotating cross document event coreference links is a tedious task that requires annotators to have near-oracle knowledge of a document collection. The heavy cognitive load of this task decreases overall annotation qual…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionA Multilingual Corpus for Socio-political Event Coreference Resolution
We propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries. Early scholarship on event information collection has not quantified the cont…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionConundrums in Event Coreference Resolution: Making Sense of the State of the Art
Despite recent promising results on the application of span-based models for event reference interpretation, there is a lack of understanding of what has been improved. We present an empirical analysis of a state-of-the-…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionLearning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport
We study a new problem of cross-lingual transfer learning for event coreference resolution (ECR) where models trained on data from a source language are adapted for evaluations in different target languages. We introduce…
coreference-resolutionCoreference ResolutionCross-Lingual TransferEvent Coreference Resolution+4Coreference by Appearance: Visually Grounded Event Coreference Resolution
Event coreference resolution is critical to understand events in the growing number of online news with multiple modalities including text, video, speech, etc. However, the events and entities depicting in different moda…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionMachine Translation+1Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference
Performing event and entity coreference resolution across documents vastly increases the number of candidate mentions, making it intractable to do the full $n^2$ pairwise comparisons. Existing approaches simplify by cons…
coreference-resolutionCoreference ResolutionEntity Cross-Document Coreference ResolutionEvent Coreference Resolution+1Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News
Cross-document event coreference resolution (CDCR) is the task of identifying which event mentions refer to the same events throughout a collection of documents. Annotating CDCR data is an arduous and expensive process, …
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionJoint Multimedia Event Extraction from Video and Article
Visual and textual modalities contribute complementary information about events described in multimedia documents. Videos contain rich dynamics and detailed unfoldings of events, while text describes more high-level and …
Articlescoreference-resolutionCoreference ResolutionEvent Coreference Resolution+1Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution
We study the problem of event coreference resolution (ECR) that seeks to group coreferent event mentions into the same clusters. Deep learning methods have recently been applied for this task to deliver state-of-the-art …
coreference-resolutionCoreference ResolutionDeep LearningEvent Coreference Resolution+1Constrained Multi-Task Learning for Event Coreference Resolution
We propose a neural event coreference model in which event coreference is jointly trained with five tasks: trigger detection, entity coreference, anaphoricity determination, realis detection, and argument extraction. To …
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionMulti-Task LearningHierarchical Graph Convolutional Networks for Jointly Resolving Cross-document Coreference of Entity and Event Mentions
This paper studies the problem of cross-document event coreference resolution (CDECR) that seeks to determine if event mentions across multiple documents refer to the same real-world events. Prior work has demonstrated t…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionSentenceGENE: Global Event Network Embedding
Current methods for event representation ignore related events in a corpus-level global context. For a deep and comprehensive understanding of complex events, we introduce a new task, Event Network Embedding, which aims …
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionNetwork EmbeddingWEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia
Cross-document event coreference resolution is a foundational task for NLP applications involving multi-text processing. However, existing corpora for this task are scarce and relatively small, while annotating only mode…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionA Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution
Event coreference resolution is an important research problem with many applications. Despite the recent remarkable success of pretrained language models, we argue that it is still highly beneficial to utilize symbolic f…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionAutomatic Data Acquisition for Event Coreference Resolution
We propose to leverage lexical paraphrases and high precision rules informed by news discourse structure to automatically collect coreferential and non-coreferential event pairs from unlabeled English news articles. We p…
Articlescoreference-resolutionCoreference ResolutionEvent Coreference ResolutionCDLM: Cross-Document Language Modeling
We introduce a new pretraining approach geared for multi-document language modeling, incorporating two key ideas into the masked language modeling self-supervised objective. First, instead of considering documents in iso…
Citation RecommendationCoreference ResolutionCross-Document Language ModelingEntity Cross-Document Coreference Resolution+6Event Coreference Resolution with Non-Local Information
We present two extensions to a state-of-theart joint model for event coreference resolution, which involve incorporating (1) a supervised topic model for improving trigger detection by providing global context, and (2) a…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionEvent Coreference Resolution with their Paraphrases and Argument-aware Embeddings
Event coreference resolution aims to classify all event mentions that refer to the same real-world event into the same group, which is necessary to information aggregation and many downstream applications. To resolve eve…
coreference-resolutionCoreference ResolutionEvent Coreference ResolutionGeneralizing Cross-Document Event Coreference Resolution Across Multiple Corpora
Cross-document event coreference resolution (CDCR) is an NLP task in which mentions of events need to be identified and clustered throughout a collection of documents. CDCR aims to benefit downstream multi-document appli…
coreference-resolutionCoreference ResolutionEvent Coreference Resolution