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# ICASSP-2024-Papers | ||
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<table> | ||
<tr> | ||
<td><strong>Application</strong></td> | ||
<td> | ||
<a href="https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers" style="float:left;"> | ||
<img src="https://img.shields.io/badge/🤗-NewEraAI--Papers-FFD21F.svg" alt="App" /> | ||
</a> | ||
</td> | ||
</tr> | ||
<tr> | ||
<td><strong>Previous Collections</strong></td> | ||
<td> | ||
<a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/README_2023.md"> | ||
<img src="http://img.shields.io/badge/ICASSP-2023-0073AE.svg" alt="Conference"> | ||
</a> | ||
</td> | ||
</tr> | ||
</table> | ||
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<div align="center"> | ||
<a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/sections/2024/main/AASP-P1.md"> | ||
<img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/left.svg" width="40" alt="" /> | ||
</a> | ||
<a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/"> | ||
<img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/home.svg" width="40" alt="" /> | ||
</a> | ||
<a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/sections/2024/main/BISP-P1.md"> | ||
<img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/right.svg" width="40" alt="" /> | ||
</a> | ||
</div> | ||
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## Language Understanding and Computational Semantics - NLP Tasks | ||
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![Section Papers](https://img.shields.io/badge/Section%20Papers-12-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-8-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-4-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000) | ||
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| **Title** | **Repo** | **Paper** | **Video** | | ||
|-----------|:--------:|:---------:|:---------:| | ||
| SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447915-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447915) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2306.16176-b31b1b.svg)](https://arxiv.org/abs/2306.16176) | :heavy_minus_sign: | | ||
| Temporal Knowledge Graph Embedding using Householder Transformations | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447572-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447572) | :heavy_minus_sign: | | ||
| An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448189-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448189) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2401.14630-b31b1b.svg)](https://arxiv.org/abs/2401.14630) | :heavy_minus_sign: | | ||
| MSFR: Stance Detection based on Multi-Aspect Semantic Feature Representation via Hierarchical Contrastive Learning | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446704-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446704) | :heavy_minus_sign: | | ||
| Anchor-Guided GAN with Contrastive Loss for Low-Resource Out-of-Domain Detection | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447254-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447254) | :heavy_minus_sign: | | ||
| Joint End-to-End Spoken Language Understanding and Automatic Speech Recognition Training based on Unified Speech-to-Text Pre-Training | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447509-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447509) | :heavy_minus_sign: | | ||
| Semantics Driven Multi-View Knowledge Graph Embedding for Cross-Lingual Entity Alignment | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446628-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446628) | :heavy_minus_sign: | | ||
| JPIS: A Joint Model for Profile-based Intent Detection and Slot Filling with Slot-to-Intent Attention | [![GitHub](https://img.shields.io/github/stars/VinAIResearch/JPIS?style=flat)](https://github.com/VinAIResearch/JPIS) | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446353-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446353) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2312.08737-b31b1b.svg)](https://arxiv.org/abs/2312.08737) | :heavy_minus_sign: | | ||
| Nuclear-Norm Maximization for Low-Rank Updates | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448410-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448410) | :heavy_minus_sign: | | ||
| Retrieval Augmented End-to-End Spoken Dialog Models | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447448-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447448) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2402.01828-b31b1b.svg)](https://arxiv.org/abs/2402.01828) | :heavy_minus_sign: | | ||
| Unsupervised Learning of Neural Semantic Mappings with the Hungarian Algorithm for Compositional Semantics | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448029-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448029) | :heavy_minus_sign: | | ||
| Context-Guided and Syntactic Augmented Dual Graph Convolutional Network for Aspect-based Sentiment Analysis | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448386-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448386) | :heavy_minus_sign: | | ||
| Learning Semantic Information from Raw Audio Signal using Both Contextual and Phonetic Representations | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10445745-E4A42C.svg)](https://ieeexplore.ieee.org/document/10445745) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2402.01298-b31b1b.svg)](https://arxiv.org/abs/2402.01298) | :heavy_minus_sign: | | ||
| SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448210-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448210) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2401.13463-b31b1b.svg)](https://arxiv.org/abs/2401.13463) | :heavy_minus_sign: | | ||
| Type-Aware Decoding via Explicitly Aggregating Event Information for Document-Level Event Extraction | [![GitHub](https://img.shields.io/github/stars/GangZhao98/SEA?style=flat)](https://github.com/GangZhao98/SEA) | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447478-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447478) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2310.10487-b31b1b.svg)](https://arxiv.org/abs/2310.10487) | :heavy_minus_sign: | | ||
| Improving Long Text Understanding with Knowledge Distilled from Summarization Model | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448039-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448039) | :heavy_minus_sign: | | ||
| KeNet: Knowledge-Enhanced DOC-Label Attention Network for Multi-Label Text Classification | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447643-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447643) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2403.01767-b31b1b.svg)](https://arxiv.org/abs/2403.01767) | :heavy_minus_sign: | | ||
| Label Dependencies-Aware Set Prediction Networks for Multi-Label Text Classification | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447036-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447036) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.07022-b31b1b.svg)](https://arxiv.org/abs/2304.07022) | :heavy_minus_sign: | | ||
| CDUMA: An Adaptive Approach for Mitigating Confounder for MCQA | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446341-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446341) | :heavy_minus_sign: | | ||
| A Soft Contrastive Learning-based Prompt Model for Few-Shot Sentiment Analysis | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446983-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446983) | :heavy_minus_sign: | | ||
| A Novel Cascade Instruction Tuning Method for Biomedical NER | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446885-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446885) | :heavy_minus_sign: | | ||
| Adaptive Data Augmentation for Aspect Sentiment Quad Prediction | [![GitHub](https://img.shields.io/github/stars/WYRipple/ADA?style=flat)](https://github.com/WYRipple/ADA) | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447700-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447700) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2401.06394-b31b1b.svg)](https://arxiv.org/abs/2401.06394) | :heavy_minus_sign: | | ||
| Incomplete Observations Bias Suppression for Abductive Natural Language Inference | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447052-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447052) | :heavy_minus_sign: | | ||
| Sorting, Reasoning, and Extraction: An Easy-to-Hard Reasoning Framework for Document-Level Event Argument Extraction | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446551-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446551) | :heavy_minus_sign: | | ||
| An Adapter-based Unified Model for Multiple Spoken Language Processing Tasks | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448240-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448240) | :heavy_minus_sign: | | ||
| Unleashing Trigger-Free Event Detection: Revealing Event Correlations via a Contrastive Derangement Framework | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448190-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448190) | :heavy_minus_sign: | | ||
| Inversive-Reasoning Augmentation for Natural Language Inference | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447828-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447828) | :heavy_minus_sign: | | ||
| Improving Chinese Spelling Correction with Text-Phonetics Differentiation and Adaptive Fusion | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447079-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447079) | :heavy_minus_sign: | | ||
| A Prompt-based Method with Multi-View Optimization for Open Relation Extraction | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447886-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447886) | :heavy_minus_sign: | | ||
| Decoupling and Refilling: A Simple Data Augmentation Method for Aspect Term Extraction | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446120-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446120) | :heavy_minus_sign: | |