Papers with Code 아카이브
Term Extraction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 2
- 보존된 평가 기록
- 2
Term Extraction, or Automated Term Extraction (ATE), is about extraction domain-specific terms from natural language text. For example, the sentence “We meta-analyzed mortality using random-effect models” contains the domain-specific single-word terms "meta-analyzed", "mortality" and the multi-word term "random-effect models".
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation
Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
Unsupervised Technical Domain Terms Extraction using Term Extractor
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
BAN-ABSA: An Aspect-Based Sentiment Analysis dataset for Bengali and it's baseline evaluation
Aspect-Based Argument Mining
Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis
What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
Unsupervised Neural Aspect Search with Related Terms Extraction
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach
Aspect Term Extraction using Graph-based Semi-Supervised Learning
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction
Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels
Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings
Feature-Less End-to-End Nested Term Extraction
Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
KAS-term: Extracting Slovene Terms from Doctoral Theses via Supervised Machine Learning
Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning
Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks
Aspect Sentiment Model for Micro Reviews
Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation
Aspect Term Extraction with History Attention and Selective Transformation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.