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09/20/2023
Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering
Despite their competitive performance on knowledge-intensive tasks, larg...
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09/11/2023
TeGit: Generating High-Quality Instruction-Tuning Data with Text-Grounded Task Design
High-quality instruction-tuning data is critical to improving LLM capabi...
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04/04/2023
An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologies
Inconsistency handling is an important issue in knowledge management. Es...
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03/18/2023
An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering
Large-scale pre-trained language models (PLMs) such as BERT have recentl...
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03/14/2023
Evaluation of ChatGPT as a Question Answering System for Answering Complex Questions
ChatGPT is a powerful large language model (LLM) that has made remarkabl...
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10/17/2022
Towards Relation Extraction From Speech
Relation extraction typically aims to extract semantic relationships bet...
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02/14/2022
Conditional Generation Net for Medication Recommendation
Medication recommendation targets to provide a proper set of medicines a...
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11/26/2021
Active Learning for Event Extraction with Memory-based Loss Prediction Model
Event extraction (EE) plays an important role in many industrial applica...
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11/01/2021
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph
Query graph building aims to build correct executable SPARQL over the kn...
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10/13/2021
Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model
The ability to generate natural-language questions with controlled compl...
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09/12/2021
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning
Single-table text-to-SQL aims to transform a natural language question i...
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09/08/2021
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base
Formal query building is an important part of complex question answering...
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05/20/2021
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
Event detection (ED) aims at detecting event trigger words in sentences ...
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03/03/2021
Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain
This paper introduces a natural language understanding (NLU) framework f...
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01/06/2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
Continual relation extraction is an important task that focuses on extra...
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10/29/2020
Less is More: Data-Efficient Complex Question Answering over Knowledge Bases
Question answering is an effective method for obtaining information from...
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10/29/2020
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
Complex question-answering (CQA) involves answering complex natural-lang...
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10/29/2020
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
A compelling approach to complex question answering is to convert the qu...
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10/07/2020
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases
Question generation over knowledge bases (KBQG) aims at generating natur...
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10/07/2020
Knowledge-aware Method for Confusing Charge Prediction
Automatic charge prediction task aims to determine the final charges bas...
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09/13/2020
Revealing Secrets in SPARQL Session Level
Based on Semantic Web technologies, knowledge graphs help users to disco...
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03/09/2020
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Knowledge graph models world knowledge as concepts, entities, and the re...
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01/09/2013
A Distance-based Paraconsistent Semantics for DL-Lite
DL-Lite is an important family of description logics. Recently, there is...
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07/04/2012
A Revision-Based Approach to Resolving Conflicting Information
In this paper, we propose a revision-based approach for conflict resolut...
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03/15/2012
