CN115220875A - 利用连续适配来执行多个任务 - Google Patents
利用连续适配来执行多个任务 Download PDFInfo
- Publication number
- CN115220875A CN115220875A CN202110404714.9A CN202110404714A CN115220875A CN 115220875 A CN115220875 A CN 115220875A CN 202110404714 A CN202110404714 A CN 202110404714A CN 115220875 A CN115220875 A CN 115220875A
- Authority
- CN
- China
- Prior art keywords
- task
- specific
- representations
- shared
- encoder
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/216—Parsing using statistical methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
- G06F40/35—Discourse or dialogue representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Biomedical Technology (AREA)
- Computing Systems (AREA)
- Molecular Biology (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- Machine Translation (AREA)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110404714.9A CN115220875A (zh) | 2021-04-15 | 2021-04-15 | 利用连续适配来执行多个任务 |
PCT/US2022/022234 WO2022221045A1 (fr) | 2021-04-15 | 2022-03-29 | Réalisation de tâches multiples avec adaptation continue |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110404714.9A CN115220875A (zh) | 2021-04-15 | 2021-04-15 | 利用连续适配来执行多个任务 |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115220875A true CN115220875A (zh) | 2022-10-21 |
Family
ID=81384732
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110404714.9A Pending CN115220875A (zh) | 2021-04-15 | 2021-04-15 | 利用连续适配来执行多个任务 |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN115220875A (fr) |
WO (1) | WO2022221045A1 (fr) |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR102492318B1 (ko) * | 2015-09-18 | 2023-01-26 | 삼성전자주식회사 | 모델 학습 방법 및 장치, 및 데이터 인식 방법 |
US12008459B2 (en) * | 2019-04-19 | 2024-06-11 | Microsoft Technology Licensing, Llc | Multi-task machine learning architectures and training procedures |
-
2021
- 2021-04-15 CN CN202110404714.9A patent/CN115220875A/zh active Pending
-
2022
- 2022-03-29 WO PCT/US2022/022234 patent/WO2022221045A1/fr active Application Filing
Also Published As
Publication number | Publication date |
---|---|
WO2022221045A1 (fr) | 2022-10-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10817650B2 (en) | Natural language processing using context specific word vectors | |
Wang et al. | Morphological segmentation with window LSTM neural networks | |
WO2023160472A1 (fr) | Procédé de formation de modèle et dispositif associé | |
CN111460807A (zh) | 序列标注方法、装置、计算机设备和存储介质 | |
WO2023236977A1 (fr) | Procédé de traitement de données et dispositif associé | |
KR102315830B1 (ko) | 반지도 학습 기반 단어 단위 감정 임베딩과 lstm 모델을 이용한 대화 내에서 발화의 감정 분류 방법 | |
WO2022253074A1 (fr) | Procédé de traitement de données et dispositif associé | |
EP4361843A1 (fr) | Procédé de recherche de réseau neuronal et dispositif associé | |
CN110851594A (zh) | 一种基于多通道深度学习模型的文本分类方法及其装置 | |
CN113553418B (zh) | 一种基于多模态学习的视觉对话生成方法及装置 | |
CN113723105A (zh) | 语义特征提取模型的训练方法、装置、设备及存储介质 | |
CN111653275A (zh) | 基于lstm-ctc尾部卷积的语音识别模型的构建方法及装置、语音识别方法 | |
CN115951883B (zh) | 分布式微服务架构的服务组件管理系统及其方法 | |
CN114360502A (zh) | 语音识别模型的处理方法、语音识别方法及装置 | |
CN112232070A (zh) | 自然语言处理模型构建方法、系统、电子设备及存储介质 | |
CN111597816A (zh) | 一种自注意力命名实体识别方法、装置、设备及存储介质 | |
Chowdhury et al. | A cascaded long short-term memory (LSTM) driven generic visual question answering (VQA) | |
CN113887169A (zh) | 文本处理方法、电子设备、计算机存储介质及程序产品 | |
CN116484224A (zh) | 一种多模态预训练模型的训练方法、装置、介质及设备 | |
CN111368532A (zh) | 一种基于lda的主题词嵌入消歧方法及系统 | |
CN112949284A (zh) | 一种基于Transformer模型的文本语义相似度预测方法 | |
CN115220875A (zh) | 利用连续适配来执行多个任务 | |
Chauhan et al. | PsuedoProp at SemEval-2020 Task 11: Propaganda span detection using BERT-CRF and ensemble sentence level classifier | |
Islam et al. | Bengali caption generation for images using deep learning | |
Yap et al. | Enhancing BISINDO Recognition Accuracy Through Comparative Analysis of Three CNN Architecture Models |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |