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08/28/2023
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
The objective of few-shot named entity recognition is to identify named ...
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07/06/2023
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting
Zero-shot cross-domain slot filling aims to transfer knowledge from the ...
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06/17/2023
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation
Existing controllable dialogue generation work focuses on the single-att...
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06/17/2023
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue
Pre-trained language models based on general text enable huge success in...
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06/11/2023
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model
Currently, the reduction in the parameter scale of large-scale pre-train...
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05/28/2023
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
Generalized intent discovery aims to extend a closed-set in-domain inten...
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04/05/2023
FASTAGEDS: Fast Approximate Graph Entity Dependency Discovery
This paper studies the discovery of approximate rules in property graphs...
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03/30/2023
BPCE: A Prototype for Co-Evolution between Business Process Variants through Configurable Process Model
With the continuous development of business process management technolog...
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02/27/2023
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition
Few-shot named entity recognition (NER) aims at identifying named entiti...
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02/27/2023
Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations
In real dialogue scenarios, the existing slot filling model, which tends...
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01/16/2023
An Efficient Approach for Discovering Graph Entity Dependencies (GEDs)
Graph entity dependencies (GEDs) are novel graph constraints, unifying k...
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12/21/2022
Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base
A critical step in sharing semantic content online is to map the structu...
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10/19/2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
Detecting out-of-domain (OOD) intents from user queries is essential for...
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10/17/2022
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
Discovering out-of-domain (OOD) intent is important for developing new s...
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10/17/2022
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems
Recent advances in neural approaches greatly improve task-oriented dialo...
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10/17/2022
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning
Detecting Out-of-Domain (OOD) or unknown intents from user queries is es...
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09/14/2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
Out-of-Domain (OOD) detection is a key component in a task-oriented dial...
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09/13/2022
Generalized Intent Discovery: Learning from Open World Dialogue System
Traditional intent classification models are based on a pre-defined inte...
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08/31/2022
Unified Knowledge Prompt Pre-training for Customer Service Dialogues
Dialogue bots have been widely applied in customer service scenarios to ...
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08/24/2022
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling
Most existing slot filling models tend to memorize inherent patterns of ...
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04/09/2022
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization
The most advanced abstractive dialogue summarizers lack generalization a...
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10/25/2021
TODSum: Task-Oriented Dialogue Summarization with State Tracking
Previous dialogue summarization datasets mainly focus on open-domain chi...
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10/07/2021
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling
Zero-shot cross-domain slot filling alleviates the data dependence in th...
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05/29/2021
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
Existing slot filling models can only recognize pre-defined in-domain sl...
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05/29/2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
Detecting Out-of-Domain (OOD) or unknown intents from user queries is es...
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01/28/2021
A Spatial-Temporal Graph Neural Network Framework for Automated Software Bug Triaging
The bug triaging process, an essential process of assigning bug reports ...
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01/08/2021
Deep Learning Framework for Online Interactive Service Recommendation in Iterative Mashup Development
Recent years have witnessed the rapid development of service-oriented co...
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04/25/2020
