Liang et al., 2023 - Google Patents
MUSEDA: multilingual unsupervised and supervised embedding for domain adaptionLiang et al., 2023
- Document ID
- 15262389028942455484
- Author
- Liang X
- Gu Z
- Xie Y
- Wang L
- Tian Z
- Publication year
- Publication venue
- Knowledge-Based Systems
External Links
Snippet
Based on the assumption of isomorphism, approaches for generating high-quality, low-cost multilingual word embeddings (MLWEs) have been critical mechanisms for facilitating knowledge transfer between languages, notably between resource-rich and resource-lean …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/28—Processing or translating of natural language
- G06F17/2809—Data driven translation
- G06F17/2827—Example based machine translation; Alignment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/3066—Query translation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2765—Recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
- G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/28—Processing or translating of natural language
- G06F17/2872—Rule based translation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/28—Processing or translating of natural language
- G06F17/289—Use of machine translation, e.g. multi-lingual retrieval, server side translation for client devices, real-time translation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30731—Creation of semantic tools
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/21—Text processing
- G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Blitzer et al. | Domain adaptation with structural correspondence learning | |
Wehrmann et al. | Order embeddings and character-level convolutions for multimodal alignment | |
Sundar et al. | Hope speech detection for dravidian languages using cross-lingual embeddings with stacked encoder architecture | |
Hande et al. | Multi-task learning in under-resourced Dravidian languages | |
Choudhary et al. | Emotions are universal: Learning sentiment based representations of resource-poor languages using siamese networks | |
Zhao et al. | A novel chinese relation extraction method using polysemy rethinking mechanism | |
Kang et al. | FinSim-3: The 3rd shared task on learning semantic similarities for the financial domain | |
Yan et al. | Neural architecture search via multi-hashing embedding and graph tensor networks for multilingual text classification | |
Sun | [Retracted] Analysis of Chinese Machine Translation Training Based on Deep Learning Technology | |
Wijayanti et al. | Learning bilingual word embedding for automatic text summarization in low resource language | |
Liang et al. | MUSEDA: multilingual unsupervised and supervised embedding for domain adaption | |
Yuan | A joint method for Chinese word segmentation and part-of-speech labeling based on deep neural network | |
Huang et al. | Transfer learning with document-level data augmentation for aspect-level sentiment classification | |
Hung et al. | A complete shift-reduce Chinese discourse parser with robust dynamic oracle | |
Shafiq et al. | Enhancing Arabic Aspect-Based Sentiment Analysis Using End-to-End Model | |
Sun et al. | MSnet: Multi-head self-attention network for distantly supervised relation extraction | |
Alian et al. | Arabic word sense disambiguation using sense inventories | |
Zhao et al. | Word-level Textual Adversarial Attack Method Based On Differential Evolution Algorithm | |
Li et al. | Kernel methods for word sense disambiguation | |
Zhang et al. | Reconstructed similarity for faster GANs-based word translation to mitigate hubness | |
Tran | Text Generation Model Enhanced with Semantic Information in Aspect Category Sentiment Analysis | |
Sholikah et al. | Multi task learning with general vector space for cross-lingual semantic relation detection | |
AP et al. | Deep learning based deep level tagger for malayalam | |
Wu et al. | A Text Emotion Analysis Method Using the Dual‐Channel Convolution Neural Network in Social Networks | |
Li | Construction of English Translation Model Based on Improved Fuzzy Semantic Optimal Control of GLR Algorithm |