SemEval 2013
Related Papers
FBK: Sentiment Analysis in Twitter with Tweetsted
This paper presents the Tweetsted system im- plemented for the SemEval 2013 task on Sen- timent Analysis in Twitter. In particular, we participated in Task B on Message Polar- ity …...
HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
We present our entries for the SemEval- 2013 cross-language word-sense disambigua- tion task (Lefever and Hoste, 2013). We submitted three systems based on classifiers trained on local context features, with …...
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013
In this paper, we describe a method for as- sessing student answers, modeled as a para- phrase identification problem, based on sub- stitution by Basic English variants. Basic En- glish …...
SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
Sentiment analysis refers to automatically ex- tracting the sentiment present in a given natu- ral language text. We present our participation to the SemEval2013 competition, in the senti- ment analysis …...
UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity
In this paper we present our systems for cal- culating the degree of semantic similarity be- tween two texts that we submitted to the Se- mantic Textual Similarity task at …...
An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model
This paper describes a new Word Sense Disambiguation (WSD) algorithm which extends two well-known variations of the Lesk WSD method. Given a word and its context, Lesk algorithm exploits the …...
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach
In this paper, we propose to build large-scale sentiment lexicon from Twitter with a representation learning approach. We cast sentiment lexicon learning as a phrase-level sentiment classification task. The challenges …...
Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision
AbstractSentiment lexicon is an important tool for identifying the sentiment polarity of words and texts. How to automatically construct sentiment lexicons has become a research topic in the field of …...