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07/08/2023
Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task
Large-scale language models (LLMs) has shown remarkable capability in va...
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05/24/2023
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?
Model ensemble has been in widespread use for Grammatical Error Correcti...
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01/16/2023
An Error-Guided Correction Model for Chinese Spelling Error Correction
Although existing neural network approaches have achieved great success ...
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11/03/2022
From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction
Chinese Grammatical Error Correction (CGEC) aims to generate a correct s...
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10/19/2022
A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss
For readability assessment, traditional methods mainly employ machine le...
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09/09/2022
Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation
Today the pre-trained language models achieve great success for question...
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09/01/2022
Focus-Driven Contrastive Learniang for Medical Question Summarization
Automatic medical question summarization can significantly help the syst...
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07/13/2022
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models
Most of the Chinese pre-trained models adopt characters as basic units f...
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09/11/2021
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data
Generating high quality question-answer pairs is a hard but meaningful t...
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08/20/2021
ASAT: Adaptively Scaled Adversarial Training in Time Series
Adversarial training is a method for enhancing neural networks to improv...
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06/19/2021
Enhancing Question Generation with Commonsense Knowledge
Question generation (QG) is to generate natural and grammatical question...
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05/28/2021
Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge
Knowledge facts are typically represented by relational triples, while w...
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12/11/2020
EQG-RACE: Examination-Type Question Generation
Question Generation (QG) is an essential component of the automatic inte...
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09/28/2020
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training
We focus on the task of procedural text understanding, which aims to tra...
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05/24/2020
A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation
The answer-agnostic question generation is a significant and challenging...
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04/14/2020
Query-Variant Advertisement Text Generation with Association Knowledge
Advertising is an important revenue source for many companies. However, ...
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04/14/2020
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks
Target-Based Sentiment Analysis aims to detect the opinion aspects (aspe...
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11/20/2019
Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension
In reading comprehension, generating sentence-level distractors is a sig...
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10/04/2019
Multi-level Gated Recurrent Neural Network for Dialog Act Classification
In this paper we focus on the problem of dialog act (DA) labelling. This...
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08/31/2019
Question-type Driven Question Generation
Question generation is a challenging task which aims to ask a question b...
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08/30/2019
Multi-Task Learning with Language Modeling for Question Generation
This paper explores the task of answer-aware questions generation. Based...
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06/04/2019
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Automatic article commenting is helpful in encouraging user engagement a...
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05/16/2019
A Simple Dual-decoder Model for Generating Response with Sentiment
How to generate human like response is one of the most challenging tasks...
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09/18/2018
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder
In order to learn universal sentence representations, previous methods f...
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08/16/2018
Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions
Huge numbers of new words emerge every day, leading to a great need for ...
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03/09/2018
An Unsupervised Model with Attention Autoencoders for Question Retrieval
Question retrieval is a crucial subtask for community question answering...
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01/27/2018
Improving Word Vector with Prior Knowledge in Semantic Dictionary
Using low dimensional vector space to represent words has been very effe...
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09/17/2017