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08/28/2023
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Although large language models (LLMs) demonstrate impressive performance...
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08/11/2023
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts
Teaching assistants have played essential roles in the long history of e...
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07/06/2023
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering
We present Visual Knowledge oriented Programming platform (VisKoP), a kn...
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07/06/2023
KoRC: Knowledge oriented Reading Comprehension Benchmark for Deep Text Understanding
Deep text understanding, which requires the connections between a given ...
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06/15/2023
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
The unprecedented performance of large language models (LLMs) necessitat...
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06/12/2023
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation
Event extraction (EE) is a crucial task aiming at extracting events from...
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05/25/2023
Learn to Not Link: Exploring NIL Prediction in Entity Linking
Entity linking models have achieved significant success via utilizing pr...
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05/24/2023
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering
Explainable question answering (XQA) aims to answer a given question and...
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04/27/2023
ChatLog: Recording and Analyzing ChatGPT Across Time
While there are abundant researches about evaluating ChatGPT on natural ...
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04/05/2023
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs
Student modeling, the task of inferring a student's learning characteris...
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03/26/2023
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation
Despite the recent emergence of video captioning models, how to generate...
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01/17/2023
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction
Open Information Extraction models have shown promising results with suf...
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12/19/2022
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
Answering complex logical queries on incomplete knowledge graphs is a ch...
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11/14/2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models
Transformer-based pre-trained language models have demonstrated superior...
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11/14/2022
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
The diverse relationships among real-world events, including coreference...
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11/11/2022
A Survey of Knowledge-Enhanced Pre-trained Language Models
Pre-trained Language Models (PLMs) which are trained on large text corpu...
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10/21/2022
EDUKG: a Heterogeneous Sustainable K-12 Educational Knowledge Graph
Web and artificial intelligence technologies, especially semantic web an...
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10/12/2022
Step out of KG: Knowledge Graph Completion via Knowledgeable Retrieval and Reading Comprehension
Knowledge graphs, as the cornerstone of many AI applications, usually fa...
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10/08/2022
ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction
Document-level relation extraction with graph neural networks faces a fu...
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10/04/2022
Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing
The recent prevalence of pretrained language models (PLMs) has dramatica...
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07/21/2022
A Wavelet Transform and self-supervised learning-based framework for bearing fault diagnosis with limited labeled data
Traditional supervised bearing fault diagnosis methods rely on massive l...
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07/18/2022
Towards a General Pre-training Framework for Adaptive Learning in MOOCs
Adaptive learning aims to stimulate and meet the needs of individual lea...
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05/24/2022
GraphQ IR: Unifying Semantic Parsing of Graph Query Language with Intermediate Representation
Subject to the semantic gap lying between natural and formal language, n...
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03/16/2022
LEVEN: A Large-Scale Chinese Legal Event Detection Dataset
Recognizing facts is the most fundamental step in making judgments, henc...
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01/28/2022
Schema-Free Dependency Parsing via Sequence Generation
Dependency parsing aims to extract syntactic dependency structure or sem...
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01/17/2022
ICLEA: Interactive Contrastive Learning for Self-supervised Entity Alignment
Self-supervised entity alignment (EA) aims to link equivalent entities a...
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01/17/2022
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
Multi-hop knowledge graph (KG) reasoning has been widely studied in rece...
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12/21/2021
Multimodal Entity Tagging with Multimodal Knowledge Base
To enhance research on multimodal knowledge base and multimodal informat...
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11/12/2021
On Transferability of Prompt Tuning for Natural Language Understanding
Prompt tuning (PT) is a promising parameter-efficient method to utilize ...
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10/15/2021
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning
How can pre-trained language models (PLMs) learn universal representatio...
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10/12/2021
Program Transfer and Ontology Awareness for Semantic Parsing in KBQA
Semantic parsing in KBQA aims to parse natural language questions into l...
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09/14/2021
Information Cocoons in Online Navigation
Social media and online navigation bring us enjoyable experience in acce...
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09/02/2021
TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation
Existing technologies expand BERT from different perspectives, e.g. desi...
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08/28/2021
A new rotating machinery fault diagnosis method based on the Time Series Transformer
Fault diagnosis of rotating machinery is an important engineering proble...
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06/29/2021
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
Few-shot Named Entity Recognition (NER) exploits only a handful of annot...
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06/29/2021
TWAG: A Topic-Guided Wikipedia Abstract Generator
Wikipedia abstract generation aims to distill a Wikipedia abstract from ...
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06/08/2021
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making
Entity Matching (EM) aims at recognizing entity records that denote the ...
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05/30/2021
CLEVE: Contrastive Pre-training for Event Extraction
Event extraction (EE) has considerably benefited from pre-trained langua...
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04/15/2021
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph
Multi-hop Question Answering (QA) is a challenging task because it requi...
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04/14/2021
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
Multi-hop reasoning has been widely studied in recent years to obtain mo...
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10/05/2020
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph
Multi-hop reasoning has been widely studied in recent years to seek an e...
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07/08/2020
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base
Complex question answering over knowledge base (Complex KBQA) is challen...
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09/17/2019
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game
As Massive Open Online Courses (MOOCs) become increasingly popular, it i...
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08/30/2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
Multi-hop knowledge graph (KG) reasoning is an effective and explainable...
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11/27/2018
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision
Joint representation learning of words and entities benefits many NLP ta...
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11/21/2018
Neural Collective Entity Linking
Entity Linking aims to link entity mentions in texts to knowledge bases,...
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11/12/2018
Differentiating Concepts and Instances for Knowledge Graph Embedding
Concepts, which represent a group of different instances sharing common ...
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11/06/2018
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization
We propose DeepChannel, a robust, data-efficient, and interpretable neur...
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11/06/2018