David Pinto

Latest

• Document embeddings learned on various types of n-grams for cross-topic authorship attribution
• Hierarchical clustering analysis: the best-performing approach at PAN 2017 author clustering task
• Application of the distributed document representation in the authorship attribution task for small corpora
• Author Clustering using Hierarchical Clustering Analysis.
• Discriminating between similar languages using a combination of typed and untyped character n-grams and words
• Automatic authorship detection using textual patterns extracted from integrated syntactic graphs
• Cicbuapnlp at semeval-2016 task 4-a: Discovering twitter polarity using enhanced embeddings
• A graph based authorship identification approach
• CICBUAPnlp: graph-based approach for answer selection in community question answering task
• Computing text similarity using tree edit distance
• A graph-based multi-level linguistic representation for document understanding
• Automatic Linguistic Pattern Identification Based on Graph Text Representation
• Content and style features for automatic detection of users’ intentions in tweets
• Graph Based Approach for the Question Answering Task Based on Entrance Exams.
• Soft similarity and soft cosine measure: Similarity of features in vector space model
• A question answering system for reading comprehension tests
• Buap: N-gram based feature evaluation for the cross-lingual textual entailment task
• Lexical-syntactic and graph-based features for authorship verification
• Semantic Answer Validation in Question Answering Systems for Reading Comprehension Tests.
• Two Approaches for QA4MRE: Information Retrieval and Graph-based Knowledge Representation.
• Forecast of air quality based on ozone by decision trees and neural networks
• The Soundex phonetic algorithm revisited for SMS text representation