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*SEMEVAL - 2014
Total Papers:- 172
Total Papers accross all years:- 1898
Total Citations :- 652
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LT3: Sentiment Classification in User-Generated Content Using a Rich Feature Set
Cynthia Van Hee |
Marjan Van de Kauter |
Orphée De Clercq |
Els Lefever |
Véronique Hoste |
Columbia NLP: Sentiment Detection of Sentences and Subjective Phrases in Social Media
Sara Rosenthal |
Kathy McKeown |
Apoorv Agarwal |
Supervised Methods for Aspect-Based Sentiment Analysis
Hussam Hamdan |
Patrice Bellot |
Frederic Béchet |
Copenhagen-Malmö: Tree Approximations of Semantic Parsing Problems
Natalie Schluter |
Anders Søgaard |
Jakob Elming |
Dirk Hovy |
Barbara Plank |
Héctor Martínez Alonso |
Anders Johanssen |
Sigrid Klerke |
LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English
David Vilares |
Miguel Hermo |
Miguel A. Alonso |
Carlos Gómez-Rodríguez |
Yerai Doval |
ECNU: A Combination Method and Multiple Features for Aspect Extraction and Sentiment Polarity Classification
Fangxi Zhang |
Zhihua Zhang |
Man Lan |
RTRGO: Enhancing the GU-MLT-LT System for Sentiment Analysis of Short Messages
Tobias Günther |
Jean Vancoppenolle |
Richard Johansson |
FBK-TR: Applying SVM with Multiple Linguistic Features for Cross-Level Semantic Similarity
Ngoc Phuoc An Vo |
Tommaso Caselli |
Octavian Popescu |
SA-UZH: Verb-based Sentiment Analysis
Nora Hollenstein |
Michael Amsler |
Martina Bachmann |
Manfred Klenner |
FBK-TR: SVM for Semantic Relatedeness and Corpus Patterns for RTE
Ngoc Phuoc An Vo |
Octavian Popescu |
Tommaso Caselli |
ShrdLite: Semantic Parsing Using a Handmade Grammar
Peter Ljunglöf |
RoBox: CCG with Structured Perceptron for Supervised Semantic Parsing of Robotic Spatial Commands
Kilian Evang |
Johan Bos |
Potsdam: Semantic Dependency Parsing by Bidirectional Graph-Tree Transformations and Syntactic Parsing
Željko Agić |
Alexander Koller |
An analysis of textual inference in German customer emails
Kathrin Eichler |
Aleksandra Gabryszak |
Günter Neumann |
BioinformaticsUA: Concept Recognition in Clinical Narratives Using a Modular and Highly Efficient Text Processing Framework
Sérgio Matos |
Tiago Nunes |
José Luís Oliveira |
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