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09/21/2023
Is It Really Useful to Jointly Parse Constituency and Dependency Trees? A Revisit
This work visits the topic of jointly parsing constituency and dependenc...
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05/25/2023
NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts
We introduce NaSGEC, a new dataset to facilitate research on Chinese gra...
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05/22/2023
CopyNE: Better Contextual ASR by Copying Named Entities
Recent years have seen remarkable progress in automatic speech recogniti...
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11/15/2022
CSynGEC: Incorporating Constituent-based Syntax for Grammatical Error Correction with a Tailored GEC-Oriented Parser
Recently, Zhang et al. (2022) propose a syntax-aware grammatical error c...
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10/31/2022
Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data
Chinese word segmentation (CWS) models have achieved very high performan...
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10/22/2022
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser
This work proposes a syntax-enhanced grammatical error correction (GEC) ...
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08/26/2022
SeSQL: Yet Another Large-scale Session-level Chinese Text-to-SQL Dataset
As the first session-level Chinese dataset, CHASE contains two separate ...
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06/23/2022
Mining Error Templates for Grammatical Error Correction
Some grammatical error correction (GEC) systems incorporate hand-crafted...
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05/13/2022
MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset
During the past decade, neural network models have made tremendous progr...
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04/26/2022
Faster and Better Grammar-based Text-to-SQL Parsing via Clause-level Parallel Decoding and Alignment Loss
Grammar-based parsers have achieved high performance in the cross-domain...
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04/23/2022
MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction
This paper presents MuCGEC, a multi-reference multi-source evaluation da...
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12/06/2021
Fast and Accurate Span-based Semantic Role Labeling as Graph Parsing
Currently, BIO-based and tuple-based approaches perform quite well on th...
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10/13/2021
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments
Semantic role labeling is a fundamental yet challenging task in the NLP ...
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06/01/2021
An In-depth Study on Internal Structure of Chinese Words
Unlike English letters, Chinese characters have rich and specific meanin...
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03/03/2021
Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
Data augmentation has attracted a lot of research attention in the deep ...
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08/09/2020
Fast and Accurate Neural CRF Constituency Parsing
Estimating probability distribution is one of the core issues in the NLP...
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05/03/2020
Efficient Second-Order TreeCRF for Neural Dependency Parsing
In the deep learning (DL) era, parsing models are extremely simplified w...
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03/06/2020
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?
In the pre deep learning era, part-of-speech tags have been considered a...
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11/12/2019
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling
Semantic role labeling (SRL) aims to identify the predicate-argument str...
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07/22/2019
Syntax-aware Neural Semantic Role Labeling
Semantic role labeling (SRL), also known as shallow semantic parsing, is...
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05/08/2019
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations
Syntax has been demonstrated highly effective in neural machine translat...
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03/11/2019
HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing
This paper describes a simple UCCA semantic graph parsing approach. The ...
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01/11/2018
SEE: Syntax-aware Entity Embedding for Neural Relation Extraction
Distant supervised relation extraction is an efficient approach to scale...
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08/04/2016