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Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
TLDR
A supervised sentiment classification framework which is based on data from Twitter, a popular microblogging service, is proposed, utilizing 50 Twitter tags and 15 smileys as sentiment labels, allowing identification and classification of diverse sentiment types of short texts.
Semi-supervised recognition of sarcastic sentences in Twitter and Amazon
TLDR
This paper experiments with semi-supervised sarcasm identification on two very different data sets: a collection of 5.9 million tweets collected from Twitter, and aCollection of 66000 product reviews from Amazon.
What's in a hashtag?: content based prediction of the spread of ideas in microblogging communities
TLDR
An efficient hybrid approach based on a linear regression for predicting the spread of an idea in a given time frame is presented and it is shown that a combination of content features with temporal and topological features minimizes prediction error.
Universal Conceptual Cognitive Annotation (UCCA)
TLDR
UCCA is presented, a novel multi-layered framework for semantic representation that aims to accommodate the semantic distinctions expressed through linguistic utterances and its relative insensitivity to meaning-preserving syntactic variation is demonstrated.
ICWSM - A Great Catchy Name: Semi-Supervised Recognition of Sarcastic Sentences in Online Product Reviews
TLDR
A novel Semi-supervised Algorithm for Sarcasm Identification that recognizes sarcastic sentences in product reviews and speculate on the motivation for using sarcasm in online communities and social networks is presented.
Authorship Attribution of Micro-Messages
TLDR
The concept of an author’s unique “signature” is introduced, and it is shown that such signatures are typical of many authors when writing very short texts.
Learnability-Based Syntactic Annotation Design
TLDR
This work presents a methodology for syntactic selection and applies it to six central dependency structures, comparing pairs of annotation schemes that differ in the annotation of a single structure and finds that in three of the structures, one annotation is unequivocally better than the alternatives.
Simple constrained deformations for geometric modeling and interactive design
TLDR
A new model for producing controlled spatial deformations, which the user defines a set of constraint points, giving a desired displacement and radius of influence for each, is presented, which is term Simple Constrained Deformations (Scodef).
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction
TLDR
A novel word level vector representation based on symmetric patterns (SPs) that performs exceptionally well on verbs, and a simple combination of the word similarity scores generated by the method and by word2vec results in a superior predictive power over that of each individual model.
BLEU is Not Suitable for the Evaluation of Text Simplification
TLDR
This paper manually compiled a sentence splitting gold standard corpus containing multiple structural paraphrases, and performed a correlation analysis with human judgments that found low or no correlation between BLEU and the grammaticality and meaning preservation parameters where sentence splitting is involved.
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