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08/02/2023
Flexible Coherent Optical Access: Architectures, Algorithms, and Demonstrations
To cope with the explosive bandwidth demand, significant progress has be...
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06/08/2023
Actively Supervised Clustering for Open Relation Extraction
Current clustering-based Open Relation Extraction (OpenRE) methods usual...
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06/08/2023
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction
Semantic matching is a mainstream paradigm of zero-shot relation extract...
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06/08/2023
Open Set Relation Extraction via Unknown-Aware Training
The existing supervised relation extraction methods have achieved impres...
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05/23/2023
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
Prompting methods such as Chain-of-Thought (CoT) have shed new light on ...
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05/22/2023
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Pretrained language models have achieved remarkable success in various n...
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05/21/2023
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition
Existing models for named entity recognition (NER) are mainly based on l...
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05/20/2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Models trained with empirical risk minimization (ERM) are revealed to ea...
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05/11/2023
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild
The principle of continual relation extraction (CRE) involves adapting t...
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04/17/2023
InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
Large language models have unlocked strong multi-task capabilities from ...
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03/18/2023
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on...
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03/01/2023
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks
The GPT-3.5 models have demonstrated impressive performance in various N...
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12/21/2022
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?
Multilingual BERT (mBERT) has demonstrated considerable cross-lingual sy...
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11/14/2022
Efficient Adversarial Training with Robust Early-Bird Tickets
Adversarial training is one of the most powerful methods to improve the ...
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11/14/2022
Towards Understanding Omission in Dialogue Summarization
Dialogue summarization aims to condense the lengthy dialogue into a conc...
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11/06/2022
Robust Lottery Tickets for Pre-trained Language Models
Recent works on Lottery Ticket Hypothesis have shown that pre-trained la...
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10/10/2022
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
As the categories of named entities rapidly increase in real-world appli...
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09/16/2022
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models
Datasets with significant proportions of bias present threats for traini...
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08/19/2022
Causal Intervention Improves Implicit Sentiment Analysis
Despite having achieved great success for sentiment analysis, existing n...
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06/07/2022
Searching for Optimal Subword Tokenization in Cross-domain NER
Input distribution shift is one of the vital problems in unsupervised do...
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04/09/2022
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
NER model has achieved promising performance on standard NER benchmarks....
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03/06/2022
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents
Text semantic matching is a fundamental task that has been widely used i...
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10/14/2021
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models
Plug-and-play functionality allows deep learning models to adapt well to...
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09/28/2021
Template-free Prompt Tuning for Few-shot NER
Prompt-based methods have been successfully applied in sentence-level fe...
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09/15/2021
A Relation-Oriented Clustering Method for Open Relation Extraction
The clustering-based unsupervised relation discovery method has graduall...
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09/10/2021
Heterogeneous Graph Neural Networks for Keyphrase Generation
The encoder-decoder framework achieves state-of-the-art results in keyph...
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09/09/2021
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining
With the rapid increase in the volume of dialogue data from daily life, ...
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06/22/2021
SENT: Sentence-level Distant Relation Extraction via Negative Training
Distant supervision for relation extraction provides uniform bag labels ...
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06/02/2021
A Unified Generative Framework for Various NER Subtasks
Named Entity Recognition (NER) is the task of identifying spans that rep...
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05/24/2021
One2Set: Generating Diverse Keyphrases as a Set
Recently, the sequence-to-sequence models have made remarkable progress ...
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03/21/2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Various robustness evaluation methodologies from different perspectives ...
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12/19/2020
Uncertainty-Aware Label Refinement for Sequence Labeling
Conditional random fields (CRF) for label decoding has become ubiquitous...
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11/18/2019
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features
Multi-task learning (MTL) has received considerable attention, and numer...
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05/29/2019
Learning Task-specific Representation for Novel Words in Sequence Labeling
Word representation is a key component in neural-network-based sequence ...
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12/19/2018
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation
Multi-criteria Chinese word segmentation is a promising but challenging ...
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11/09/2018
Long Short-Term Memory with Dynamic Skip Connections
In recent years, long short-term memory (LSTM) has been successfully use...
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11/25/2017
