Chatgpt evaluation on sentence level relations: A focus on temporal, causal, and discourse relations
This paper aims to quantitatively evaluate the performance of ChatGPT, an interactive large
language model, on inter-sentential relations such as temporal relations, causal relations …
language model, on inter-sentential relations such as temporal relations, causal relations …
Exploring the potential of chatgpt on sentence level relations: A focus on temporal, causal, and discourse relations
This paper aims to quantitatively evaluate the performance of ChatGPT, an interactive large
language model, on inter-sentential relations such as temporal relations, causal relations …
language model, on inter-sentential relations such as temporal relations, causal relations …
CORD: A Three-Stage Coarse-to-Fine Framework for Relation Detection in Knowledge Base Question Answering
As a fundamental subtask of Knowledge Base Question Answering (KBQA), Relation
Detection (KBQA-RD) plays a crucial role to detect the KB relations between entities or …
Detection (KBQA-RD) plays a crucial role to detect the KB relations between entities or …
gbuilder: A scalable knowledge graph construction system for unstructured corpus
We design a user-friendly and scalable knowledge graph construction (KGC) system for
extracting structured knowledge from the unstructured corpus. Different from existing KGC …
extracting structured knowledge from the unstructured corpus. Different from existing KGC …
ADMUS: A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources
With the introduction of deep learning models, semantic parsingbased knowledge base
question answering (KBQA) systems have achieved high performance in handling complex …
question answering (KBQA) systems have achieved high performance in handling complex …
Schema-adaptable Knowledge Graph Construction
Conventional Knowledge Graph Construction (KGC) approaches typically follow the static
information extraction paradigm with a closed set of pre-defined schema. As a result, such …
information extraction paradigm with a closed set of pre-defined schema. As a result, such …
VGStore: A Multimodal Extension to SPARQL for Querying RDF Scene Graph
Semantic Web technology has successfully facilitated many RDF models with rich data
representation methods. It also has the potential ability to represent and store multimodal …
representation methods. It also has the potential ability to represent and store multimodal …
A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources
Existing deep learning-based models for knowledge base question answering (KBQA) suffer
from the high costs of adapting the system to disparate datasets in real-world scenarios (eg …
from the high costs of adapting the system to disparate datasets in real-world scenarios (eg …
질의응답에대한지식베이스기반근거문장생성모델
본 연구에서는 지식베이스로부터 질의에 대한 근거 문장을 생성하여 응답 추론 과정에 정보를
추가하고, 사람이 읽기 쉬운 형태의 근거 문장을 제공하고자 한다. 이를 위해 HotpotQA 데이터 …
추가하고, 사람이 읽기 쉬운 형태의 근거 문장을 제공하고자 한다. 이를 위해 HotpotQA 데이터 …