Is chatgpt a good causal reasoner? a comprehensive evaluation
Causal reasoning ability is crucial for numerous NLP applications. Despite the impressive
emerging ability of ChatGPT in various NLP tasks, it is unclear how well ChatGPT performs …
emerging ability of ChatGPT in various NLP tasks, it is unclear how well ChatGPT performs …
What is event knowledge graph: A survey
Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …
ERGO: Event relational graph transformer for document-level event causality identification
Document-level Event Causality Identification (DECI) aims to identify causal relations
between event pairs in a document. It poses a great challenge of across-sentence reasoning …
between event pairs in a document. It poses a great challenge of across-sentence reasoning …
Event causality identification via derivative prompt joint learning
This paper studies event causality identification, which aims at predicting the causality
relation for a pair of events in a sentence. Regarding event causality identification as a …
relation for a pair of events in a sentence. Regarding event causality identification as a …
Semantic structure enhanced event causality identification
Event Causality Identification (ECI) aims to identify causal relations between events in
unstructured texts. This is a very challenging task, because causal relations are usually …
unstructured texts. This is a very challenging task, because causal relations are usually …
Mastering context-to-label representation transformation for event causality identification with diffusion models
To understand event structures of documents, event causality identification (ECI) emerges
as a crucial task, aiming to discern causal relationships among event mentions. The latest …
as a crucial task, aiming to discern causal relationships among event mentions. The latest …
CHEER: Centrality-aware high-order event reasoning network for document-level event causality identification
Abstract Document-level Event Causality Identification (DECI) aims to recognize causal
relations between events within a document. Recent studies focus on building a document …
relations between events within a document. Recent studies focus on building a document …
Zero-shot cross-lingual document-level event causality identification with heterogeneous graph contrastive transfer learning
Event Causality Identification (ECI) refers to the detection of causal relations between events
in texts. However, most existing studies focus on sentence-level ECI with high-resource …
in texts. However, most existing studies focus on sentence-level ECI with high-resource …
Enhancing event causality identification with counterfactual reasoning
Existing methods for event causality identification (ECI) focus on mining potential causal
signals, ie, causal context keywords and event pairs. However, causal signals are …
signals, ie, causal context keywords and event pairs. However, causal signals are …
Event Causality Identification with Causal News Corpus--Shared Task 3, CASE 2022
The Event Causality Identification Shared Task of CASE 2022 involved two subtasks
working on the Causal News Corpus. Subtask 1 required participants to predict if a sentence …
working on the Causal News Corpus. Subtask 1 required participants to predict if a sentence …