Feature Sets
Related Papers
Advances in Discriminative Parsing
The present work advances the accu- racy and training speed of discrimina- tive parsing. Our discriminative parsing method has no generative component, yet surpasses a generative baseline on con- stituent …...
The Choice of Features for Classification of Verbs in Biomedical Texts
We conduct large-scale experiments to in- vestigate optimal features for classification of verbs in biomedical texts. We intro- duce a range of feature sets and associated extraction techniques, and evaluate …...
Learning to Predict Readability using Diverse Linguistic Features
In this paper we consider the problem of building a system to predict readability of natural-language documents. Our sys- tem is trained using diverse features based on syntax and language …...
An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis
AbstractWe present a newly collected data set of 8,868 gold-standard annotated Arabic feeds. The corpus is manually labelled for subjectivity and sentiment analysis (SSA) ( = 0:816). In addition, the …...
Constructing a Chinese—Japanese Parallel Corpus from Wikipedia
AbstractParallel corpora are crucial for statistical machine translation (SMT). However, they are quite scarce for most language pairs, such as Chinese―Japanese. As comparable corpora are far more available, many studies …...
Quality Estimation for Automatic Speech Recognition
We address the problem of estimating the quality of Automatic Speech Recognition (ASR) out- put at utterance level, without recourse to manual reference transcriptions and when information about system’s confidence …...
Humor Recognition and Humor Anchor Extraction
Humor is an essential component in personal communication. How to create computational models to discover the structures behind humor, recognize humor and even extract humor anchors remains a challenge. In …...