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*SEMEVAL - 2013
Total Papers:- 159
Total Papers accross all years:- 1898
Total Citations :- 1107
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UoM: Using Explicit Semantic Analysis for Classifying Sentiments
Sapna Negi |
Michael Rosner |
bwbaugh : Hierarchical sentiment analysis with partial self-training
Wesley Baugh |
Serendio: Simple and Practical lexicon based approach to Sentiment Analysis
Prabu Palanisamy |
Vineet Yadav |
Harsha Elchuri |
SZTE-NLP: Sentiment Detection on Twitter Messages
Viktor Hangya |
Gábor Berend |
Richárd Farkas |
nlp.cs.aueb.gr: Two Stage Sentiment Analysis
Prodromos Malakasiotis |
Rafael Michael Karampatsis |
Konstantina Makrynioti |
John Pavlopoulos |
NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
Pedro Balage Filho |
Thiago Pardo |
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
Itziar Aldabe |
Montse Maritxalar |
Oier Lopez de Lacalle |
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013
Martin Gleize |
Brigitte Grau |
UoS: A Graph-Based System for Graded Word Sense Induction
David Hope |
Bill Keller |
Conference Topic Distribution
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Topics
Linguistic Trends
Discourse
Lexical Semantics
Distributional Semantics
Embeddings
Formal Semantics
Ontologies
Syntax
Morphology
Task
Tagging
Chunking
Syntactic Parsing
Semantic Parsing
Word Sense Disambiguation
Named Entity Recognition
Textual Entailment
Semantic Similarity
Information Extraction
Information Retrieval
Relation Extraction
Sentiment Analysis
Event Detection
Time Normalization
Question Answering
Coreference Resolution
Summarization
Machine Translation
Paraphrasing
ASR
Spoken Language Processing
OCR
Text Categorization
Biomedical
Social Science
Approach
Topic Modeling
Deep Learning
Generative Model
Discriminative Model
Semi-supervised Learning
Unsupervised Learning
Language
Multilingual
Chinese
English
Hindi
Korean
Spanish
French
Arabic
Dataset
News
Encyclopedia
Biographies
Social Media
Twitter
Blogs
Spoken Dialog
Query Logs
Biomedical Texts