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01/12/2023
On the Structural Generalization in Text-to-SQL
Exploring the generalization of a text-to-SQL parser is essential for a ...
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09/10/2022
OPAL: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialogue
This paper presents an ontology-aware pretrained language model (OPAL) f...
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05/25/2022
DialogZoo: Large-Scale Dialog-Oriented Task Learning
Building unified conversational agents has been a long-standing goal of ...
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04/10/2022
UniDU: Towards A Unified Generative Dialogue Understanding Framework
With the development of pre-trained language models, remarkable success ...
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12/09/2021
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF
Data sparsity problem is a key challenge of Natural Language Understandi...
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06/02/2021
LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations
This work aims to tackle the challenging heterogeneous graph encoding pr...
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04/10/2021
ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser
Given a database schema, Text-to-SQL aims to translate a natural languag...
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02/25/2021
LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
Chinese short text matching is a fundamental task in natural language pr...
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09/22/2020
CREDIT: Coarse-to-Fine Sequence Generation for Dialogue State Tracking
In dialogue systems, a dialogue state tracker aims to accurately find a ...
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09/22/2020
Dual Learning for Dialogue State Tracking
In task-oriented multi-turn dialogue systems, dialogue state refers to a...
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09/21/2020
Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding
Few-shot slot tagging becomes appealing for rapid domain transfer and ad...
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09/07/2020
Robust Spoken Language Understanding with RL-based Value Error Recovery
Spoken Language Understanding (SLU) aims to extract structured semantic ...
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05/27/2020
Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing
One daunting problem for semantic parsing is the scarcity of annotation....
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05/24/2020
Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding
Spoken Language Understanding (SLU) converts hypotheses from automatic s...
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04/26/2020
Dual Learning for Semi-Supervised Natural Language Understanding
Natural language understanding (NLU) converts sentences into structured ...
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04/07/2020
Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking
Dialogue state tracking (DST) aims at estimating the current dialogue st...
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03/22/2020
Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding
Traditional slot filling in natural language understanding (NLU) predict...
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08/28/2019
Data Augmentation with Atomic Templates for Spoken Language Understanding
Spoken Language Understanding (SLU) converts user utterances into struct...
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07/10/2019
Semantic Parsing with Dual Learning
Semantic parsing converts natural language queries into structured logic...
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04/09/2019
A Hierarchical Decoding Model For Spoken Language Understanding From Unaligned Data
Spoken language understanding (SLU) systems can be trained on two types ...
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06/03/2017
Concept Transfer Learning for Adaptive Language Understanding
Semantic transfer is an important problem of the language understanding ...
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08/06/2016
