Interactive Semantic Featuring for Text Classification
In text classification, dictionaries can be used to define human-comprehensible features. We propose an improvement to dictionary features called smoothed dictionary features. These features recognize document contexts instead of n-grams. We describe a principled methodology to solicit dictionary features from a teacher, and present results showing that models built using these human-comprehensible features are competitive with models trained with Bag of Words features.
Code (0)
등록된 구현이 없습니다.
Tasks
ClassificationGeneral Classificationtext-classificationText ClassificationSimilar Papers 제목 키워드 기반
IDEA: Interactive DoublE Attentions from Label Embedding for Text Classification
Current text classification methods typically encode the text merely into embedding before a naive or complicated classifier, which ignores the suggestive information contained in the label text. As a matter of fact, hum…
text-classificationText ClassificationSemantic Interactive Learning for Text Classification: A Constructive Approach for Contextual Interactions
Interactive Machine Learning (IML) shall enable intelligent systems to interactively learn from their end-users, and is quickly becoming more and more important. Although it puts the human in the loop, interactions are m…
Multi-class Classificationtext-classificationText ClassificationARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation
Generating realistic 3D human motions in real-time within interactive applications is key for animation, simulation, and humanoid robotics. While recent offline motion generation approaches offer precise control via text…
Beyond Monologue: Interactive Talking-Listening Avatar Generation with Conversational Audio Context-Aware Kernels
Audio-driven human video generation has achieved remarkable success in monologue scenarios, largely driven by advancements in powerful video generation foundation models. Moving beyond monologues, authentic human communi…
Physical IntuitionVideo GenerationInteractive multiclass segmentation using superpixel classification
This paper adresses the problem of interactive multiclass segmentation. We propose a fast and efficient new interactive segmentation method called Superpixel Classification-based Interactive Segmentation (SCIS). From a f…
ClassificationGeneral ClassificationInteractive SegmentationSegmentation