These working notes paper present the contribution of the UPC team to the Hyperlinking sub-task of the Search and Hyperlinking Task in MediaEval 2013. Our contribution explores the potential of a solution based only on visual cues. In particular, every automatically generated shot is represented by a keyframe. The linking between video segments is based on the visual similarity of the keyframes...

We describe the system we developed to participate in SemEval 2015 Task 1, Paraphrase and Semantic Similarity in Twitter. We create similarity vectors from two-skip trigrams of preprocessed tweets and measure their semantic similarity using our UMBC-STS system. We submit two runs. The best result is ranked eleventh out of eighteen teams with F1 score of 0.599.

This paper describes the participation of the IRIT team to SemEval 2012 Task 6 (Semantic Textual Similarity). The method used consists of a n-gram based comparison method combined with a conceptual similarity measure that uses WordNet to calculate the similarity between a pair of concepts.

Our submissions (ML1, ML2, ML3) to the Audio Music Similarity (AMS) task are based upon learning an optimal distance metric over vector quantized MFCC histograms. ML1 is optimized to predict similarity derived from a collaborative filter; ML2 is optimized to predict genre similarity; ML3 is an unsupervised baseline which uses a native distance metric. This abstract details the system architectu...

This paper describes our approach to the SemEval-2017 shared task of determining question-question similarity in a community question-answering setting (Task 3B). We extracted both syntactic and semantic similarity features between candidate questions, performed pairwise-preference learning to optimize for ranking order, and then trained a random forest classifier to predict whether the candida...

•Motivation: use output of coreference resolution system as a resource for semantic tasks •Coreference chains: complementary properties compared to other resources, such as cooccurrence statistics , e.g.: “cows” “cattle” vs. “cows” “milk” •Coreference-based similarity can be used as an additional feature for any task that distributional similarity is useful for (e.g. finding alternative names f...

This document describes three systems calculating semantic similarity between two Chinese words. One is based on Machine Readable Dictionaries and the others utilize both MRDs and Corpus. These systems are performed on SemEval-2012 Task 4: Evaluating Chinese Word Similarity.

Holistic processing has long been considered as a property of right hemisphere (RH) processing. Nevertheless, recent studies showed reduced holistic processing and increased RH lateralization in Chinese character recognition expertise, suggesting that these two effects may separate. Through computational modeling, in which we implement a theory of hemispheric asymmetry in perception that posits...