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 1601–1650 of 1706 papers

TitleStatusHype
Comparing Word Representations for Implicit Discourse Relation Classification—0
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks—0
Long Short-Term Memory Neural Networks for Chinese Word Segmentation—0
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings—0
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural NetworksCode0
Web Content Extraction - a Meta-Analysis of its Past and Thoughts on its Future—0
Relation Classification via Recurrent Neural NetworkCode0
NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization—0
A Joint Model for Chinese Microblog Sentiment Analysis—0
NEUDM: A System for Topic-Based Message Polarity Classification—0
Feature Selection for Short Text Classification using Wavelet Packet Transform—0
Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training—0
Multi-level Translation Quality Prediction with QuEst++—0
KeLP: a Kernel-based Learning Platform for Natural Language Processing—0
Learning Summary Prior Representation for Extractive Summarization—0
Transition-based Dependency DAG Parsing Using Dynamic Oracles—0
A Dual-Layer Semantic Role Labeling System—0
Non-Linear Text Regression with a Deep Convolutional Neural Network—0
Event Detection and Domain Adaptation with Convolutional Neural NetworksCode0
An Effective Neural Network Model for Graph-based Dependency Parsing—0
Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory—0
Gated Recursive Neural Network for Chinese Word Segmentation—0
Feature Optimization for Constituent Parsing via Neural Networks—0
Structural Representations for Learning Relations between Pairs of Texts—0
Relation Extraction: Perspective from Convolutional Neural Networks—0
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge—0
IOA: Improving SVM Based Sentiment Classification Through Post Processing—0
TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis—0
INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces—0
A State-of-the-Art Mention-Pair Model for Coreference Resolution—0
Multi-View Feature Engineering and Learning—0
Deep Ranking for Person Re-identification via Joint Representation Learning—0
Empty Category Detection With Joint Context-Label Embeddings—0
Extracting Human Temporal Orientation from Facebook Language—0
High-Order Low-Rank Tensors for Semantic Role Labeling—0
Representation Learning for Aspect Category Detection in Online Reviews—0
Personalized Web Search—0
Deep Learning for Answer Sentence SelectionCode0
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection—0
Machine-guided Solution to Mathematical Word Problems—0
Capturing ``attrition intensifying'' structural traits from didactic interaction sequences of MOOC learners—0
Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks—0
Automatic Inference of the Tense of Chinese Events Using Implicit Linguistic Information—0
A Model of Coherence Based on Distributed Sentence Representation—0
Neural Networks Leverage Corpus-wide Information for Part-of-speech Tagging—0
The Randomized Causation Coefficient—0
Feature Engineering for Map Matching of Low-Sampling-Rate GPS Trajectories in Road Network—0
An Error Analysis Tool for Natural Language Processing and Applied Machine Learning—0
Improved Sentence-Level Arabic Dialect Classification—0
CMUQ-Hybrid: Sentiment Classification By Feature Engineering and Parameter Tuning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CNN14 gestures accuracy0.98—Unverified