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08/17/2023
Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction
Keyphrase extraction (KPE) is an important task in Natural Language Proc...
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07/18/2023
On the (In)Effectiveness of Large Language Models for Chinese Text Correction
Recently, the development and progress of Large Language Models (LLMs) h...
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07/16/2023
Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling
Few-shot sequence labeling aims to identify novel classes based on only ...
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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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10/25/2022
Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks
Stroke is the basic element of Chinese character and stroke extraction h...
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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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10/19/2022
Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...
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08/26/2022
AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications
To automatically correct handwritten assignments, the traditional approa...
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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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07/17/2022
Contextual Similarity is More Valuable than Character Similarity: Curriculum Learning for Chinese Spell Checking
Chinese Spell Checking (CSC) task aims to detect and correct Chinese spe...
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03/17/2022
Type-Driven Multi-Turn Corrections for Grammatical Error Correction
Grammatical Error Correction (GEC) aims to automatically detect and corr...
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03/02/2022
The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...
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10/19/2021
A non-hierarchical attention network with modality dropout for textual response generation in multimodal dialogue systems
Existing text- and image-based multimodal dialogue systems use the tradi...
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10/16/2021
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems
Math Word Problem (MWP) solving needs to discover the quantitative relat...
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09/27/2021
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling
Few-Shot Sequence Labeling (FSSL) is a canonical solution for the taggin...
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05/26/2021
Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking
Chinese Spell Checking (CSC) aims to detect and correct erroneous charac...
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12/30/2020
Improving BERT with Syntax-aware Local Attention
Pre-trained Transformer-based neural language models, such as BERT, have...
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12/29/2020
Dialogue Response Selection with Hierarchical Curriculum Learning
We study the learning of a matching model for dialogue response selectio...
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04/06/2020
At Which Level Should We Extract? An Empirical Study on Extractive Document Summarization
Extractive methods have proven to be very effective in automatic documen...
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04/06/2020
Learning to Summarize Passages: Mining Passage-Summary Pairs from Wikipedia Revision Histories
In this paper, we propose a method for automatically constructing a pass...
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07/06/2018
Neural Document Summarization by Jointly Learning to Score and Select Sentences
Sentence scoring and sentence selection are two main steps in extractive...
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07/06/2018
Sequential Copying Networks
Copying mechanism shows effectiveness in sequence-to-sequence based neur...
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04/24/2017
Selective Encoding for Abstractive Sentence Summarization
We propose a selective encoding model to extend the sequence-to-sequence...
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04/06/2017
