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06/30/2023
Progressive Multi-task Learning Framework for Chinese Text Error Correction
Chinese Text Error Correction (CTEC) aims to detect and correct errors i...
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06/12/2023
LTCR: Long-Text Chinese Rumor Detection Dataset
False information can spread quickly on social media, negatively influen...
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05/24/2023
The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning
Chain-of-Thought prompting (CoT) enables large-scale language models to ...
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05/18/2023
CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction
It is intractable to evaluate the performance of Grammatical Error Corre...
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05/18/2023
Counterfactual Debiasing for Generating Factually Consistent Text Summaries
Despite substantial progress in abstractive text summarization to genera...
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02/09/2023
Learning by Asking for Embodied Visual Navigation and Task Completion
The research community has shown increasing interest in designing intell...
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12/21/2022
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning
Instruction tuning, a new learning paradigm that fine-tunes pre-trained ...
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12/12/2022
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning
The increasing privacy concerns on personal private text data promote th...
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11/08/2022
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction
Open Relation Extraction (OpenRE) aims to discover novel relations from ...
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10/29/2022
Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation
Controllable Text Generation (CTG) has obtained great success due to its...
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10/19/2022
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction
Chinese Grammatical Error Correction (CGEC) is both a challenging NLP ta...
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07/17/2022
Automatic Context Pattern Generation for Entity Set Expansion
Entity Set Expansion (ESE) is a valuable task that aims to find entities...
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04/16/2022
Contrastive Learning with Hard Negative Entities for Entity Set Expansion
Entity Set Expansion (ESE) is a promising task which aims to expand enti...
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02/15/2022
Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model
Depression is a global mental health problem, the worst case of which ca...
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12/22/2021
A Survey of Natural Language Generation
This paper offers a comprehensive review of the research on Natural Lang...
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10/16/2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression
On many natural language processing tasks, large pre-trained language mo...
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07/17/2021
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
This ability to learn consecutive tasks without forgetting how to perfor...
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04/12/2021
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
Answer selection, which is involved in many natural language processing ...
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01/20/2021
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
Despite pre-trained language models such as BERT have achieved appealing...
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11/17/2020
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
Deep neural models have hitherto achieved significant performances on nu...
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04/21/2020
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents
Distant supervision based methods for entity and relation extraction hav...
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01/21/2020
A multi-agent ontologies-based clinical decision support system
Clinical decision support systems combine knowledge and data from a vari...
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11/22/2019
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
Community question answering (CQA) gains increasing popularity in both a...
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12/06/2018
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
Answer selection and knowledge base question answering (KBQA) are two im...
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12/05/2018
Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning
Decision support is a probabilistic and quantitative method designed for...
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12/05/2018
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions
Named entity discovery and linking is the fundamental and core component...
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12/05/2018
Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking
Ontology can be used for the interpretation of natural language. To cons...
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12/05/2018
Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding
Automatic text classification (TC) research can be used for real-world p...
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12/05/2018
MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs
We present MedSim, a novel semantic SIMilarity method based on public we...
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11/23/2018
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors
Humans convey their intentions through the usage of both verbal and nonv...
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09/27/2018
When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition
Medical knowledge graph is the core component for various medical applic...
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05/31/2018