Semantic Similarity Task

We describe a system proposed for measuring the degree of relational similarity beetwen a pair of words at the Task #2 of Semeval 2012. The approach presented is based on …...

Up to now, work on semantic relations has fo- cused on relation classification: recognizing whether a given instance (a word pair such as virus:flu) belongs to a specific relation class …...

In this paper we discuss our participation to the 2013 Semeval Semantic Textual Similarity task. Our core features include (i) a set of met- rics borrowed from automatic machine trans- …...

We describe an attention-based convolutional neural network for the English semantic tex- tual similarity (STS) task in the SemEval- 2016 competition (Agirre et al., 2016). We develop an attention-based input …...

AbstractThis paper describes a neural-network model which performed competitively (top 6) at the SemEval 2017 cross-lingual Semantic Textual Similarity (STS) task. Our system employs an attention-based recurrent neural network model …...

AbstractWord senses are typically defined with textual definitions for human consumption and, in computational lexicons, put in context via lexical-semantic relations such as synonymy, antonymy, hypernymy, etc. In this paper …...

AbstractPre-trained contextual representations like BERT have achieved great success in natural language processing. However, the sentence embeddings from the pre-trained language models without fine-tuning have been found to poorly capture …...