SOTAVerified

Feature Engineering

Feature engineering is the process of taking a dataset and constructing explanatory variables — features — that can be used to train a machine learning model for a prediction problem. Often, data is spread across multiple tables and must be gathered into a single table with rows containing the observations and features in the columns.

The traditional approach to feature engineering is to build features one at a time using domain knowledge, a tedious, time-consuming, and error-prone process known as manual feature engineering. The code for manual feature engineering is problem-dependent and must be re-written for each new dataset.

Papers

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Showing 1451–1500 of 1706 papers

TitleStatusHype
Exploration of Proximity Heuristics in Length Normalization—0
Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient DetectionCode0
Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus—0
Learning Feature Engineering for Classification—0
Graph Convolutional Networks for Named Entity RecognitionCode0
Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling—0
Predicting the Industry of Users on Social Media—0
Towards Wide Learning: Experiments in HealthcareCode0
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author IdentificationCode0
We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!Code0
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version)—0
NER for Medical Entities in Twitter using Sequence to Sequence Neural Networks—0
基於字元階層之語音合成用文脈訊息擷取 (Character-Level Linguistic Features Extraction for Text-to-Speech System) [In Chinese]—0
ASM Kernel: Graph Kernel using Approximate Subgraph Matching for Relation Extraction—0
Improving Neural Translation Models with Linguistic Factors—0
Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition—0
CharNER: Character-Level Named Entity RecognitionCode0
Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification—0
Attention-Based Convolutional Neural Network for Semantic Relation ExtractionCode0
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation—0
Hashtag Recommendation with Topical Attention-Based LSTM—0
A Unified Architecture for Semantic Role Labeling and Relation Classification—0
Robust Text Classification for Sparsely Labelled Data Using Multi-level Embeddings—0
Learning Orthographic Features in Bi-directional LSTM for Biomedical Named Entity Recognition—0
The GW/LT3 VarDial 2016 Shared Task System for Dialects and Similar Languages Detection—0
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMsCode0
Combining Lexical and Semantic-based Features for Answer Sentence Selection—0
A domain-agnostic approach for opinion prediction on speechCode0
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity—0
Unsupervised Abbreviation Detection in Clinical Narratives—0
DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets—0
The impact of simple feature engineering in multilingual medical NER—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Bidirectional LSTM for Named Entity Recognition in Twitter Messages—0
A Recurrent and Compositional Model for Personality Trait Recognition from Short Texts—0
Word and Document Embeddings based on Neural Network Approaches—0
ProjE: Embedding Projection for Knowledge Graph CompletionCode0
A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging—0
Feature Engineering and Ensemble Modeling for Paper Acceptance Rank Prediction—0
LSTM Shift-Reduce CCG Parsing—0
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data—0
Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems—0
Learning Connective-based Word Representations for Implicit Discourse Relation Identification—0
Neural Sentiment Classification with User and Product AttentionCode0
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification—0
Automatic Features for Essay Scoring -- An Empirical Study—0
Modeling Skip-Grams for Event Detection with Convolutional Neural Networks—0
A Neural Approach to Automated Essay ScoringCode0
Neural Network for Heterogeneous Annotations—0
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified