Papers Event Causality Identification
“Event Causality Identification” 태그가 달린 논문 25편 · 필터 해제
COLD: Causal reasOning in cLosed Daily activities
Large Language Models (LLMs) have shown state-of-the-art performance in a variety of tasks, including arithmetic and reasoning; however, to gauge the intellectual capabilities of LLMs, causal reasoning has become a relia…
Causal InferenceCommonsense Causal ReasoningEvent Causality IdentificationQuestion AnsweringA Survey of Event Causality Identification: Principles, Taxonomy, Challenges, and Assessment
Event Causality Identification (ECI) has become a crucial task in Natural Language Processing (NLP), aimed at automatically extracting causalities from textual data. In this survey, we systematically address the foundati…
Causal InferenceEvent Causality IdentificationSentenceAdvancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network
Event Causality Identification (ECI) focuses on extracting causal relations between events in texts. Existing methods for ECI primarily rely on causal features and external knowledge. However, these approaches fall short…
Event Causality IdentificationWeak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems
The inherent ambiguity of cause and effect boundaries poses a challenge in evaluating causal event extraction tasks. Traditional metrics like Exact Match and BertScore poorly reflect model performance, so we trained eval…
Event Causality IdentificationEvent ExtractionIdentifying while Learning for Document Event Causality Identification
Event Causality Identification (ECI) aims to detect whether there exists a causal relation between two events in a document. Existing studies adopt a kind of identifying after learning paradigm, where events' representat…
Causal IdentificationEvent Causality IdentificationIn-context Contrastive Learning for Event Causality Identification
Event Causality Identification (ECI) aims at determining the existence of a causal relation between two events. Although recent prompt learning-based approaches have shown promising improvements on the ECI task, their pe…
Contrastive LearningEvent Causality IdentificationIn-Context LearningPrompt LearningEnhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering
Document-level Event Causality Identification (DECI) aims to identify causal relations between two events in documents. Recent research tends to use pre-trained language models to generate the event causal relations. Whe…
Event Causality IdentificationMultiple-choiceMulti-Task LearningQuestion AnsweringZero-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 languages, leaving more challenging …
Event Causality IdentificationFew-Shot LearningSentenceTransfer LearningBoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation
Understanding causality is a core aspect of intelligence. The Event Causality Identification with Causal News Corpus Shared Task addresses two aspects of this challenge: Subtask 1 aims at detecting causal relationships i…
Data AugmentationEvent Causality IdentificationEvent Causality Is Key to Computational Story Understanding
Cognitive science and symbolic AI research suggest that event causality provides vital information for story understanding. However, machine learning systems for story understanding rarely employ event causality, partial…
Event Causality IdentificationSentenceStory GenerationDAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification
Event Causality Identification (ECI) aims at determining whether there is a causal relation between two event mentions. Conventional prompt learning designs a prompt template to first predict an answer word and then maps…
Event Causality IdentificationLanguage ModelingLanguage ModellingPrompt Learning+1Semantic 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 expressed by implicit associations betwee…
Event Causality IdentificationEvent Causality Extraction with Event Argument Correlations
Event Causality Identification (ECI), which aims to detect whether a causality relation exists between two given textual events, is an important task for event causality understanding. However, the ECI task ignores cruci…
Event Causality IdentificationEvent 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 contains a causal relation or not. This is a s…
Binary ClassificationEvent Causality IdentificationSentenceEvent 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 supervised classification task, most ex…
Event Causality IdentificationLanguage ModelingLanguage ModellingSentenceMECI: A Multilingual Dataset for Event Causality Identification
Event Causality Identification (ECI) is the task of detecting causal relations between events mentioned in the text. Although this task has been extensively studied for English materials, it is under-explored for many ot…
Cross-Lingual TransferEvent Causality IdentificationTransfer LearningIDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach
In this paper, we describe our participation in the subtask 1 of CASE-2022, Event Causality Identification with Casual News Corpus. We address the Causal Relation Identification (CRI) task by exploiting a set of simple y…
Event Causality IdentificationLanguage ModelingLanguage ModellingMasked Language ModelingIDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model
In this paper, we describe our shared task submissions for Subtask 2 in CASE-2022, Event Causality Identification with Casual News Corpus. The challenge focused on the automatic detection of all cause-effect-signal spans…
Event Causality IdentificationLanguage ModelingLanguage ModellingSentence+1Zero-shot Event Causality Identification with Question Answering
Extraction of event causality and especially implicit causality from text data is a challenging task. Causality is often treated as a specific relation type and can be considered as a part of relation extraction or relat…
ArticlesEvent Causality IdentificationMultiple-choicePassage Retrieval+8Event Causality Identification via Generation of Important Context Words
An important problem of Information Extraction involves Event Causality Identification (ECI) that seeks to identify causal relation between pairs of event mentions. Prior models for ECI have mainly solved the problem usi…
Event Causality IdentificationMulti-Task LearningPredictionRelation+2