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Development has begun on a semantic evaluation (Se- mEval) methodology and infrastructure for the ARPA Spo- ken Language Program. SemEval is an attempt to define a task-independent technology-based evaluation for …...

Semantic Textual Similarity (STS) measures the degree of semantic equivalence between two texts. This paper presents the results of the STS pilot task in Semeval. The training data contained 2000 …...

In 2014, SemEval organized multiple chal- lenges on natural language processing and information retrieval. One of the task was analysis of the clinical text. This challenge is further divided into …...

We give a brief overview of our system, SentiAdaptron, a domain-sensitive and do- main adaptable system for twitter analy- sis in tweets, and discuss performance on SemEval (in both the …...

We reproduce four Twitter sentiment classi- fication approaches that participated in pre- vious SemEval editions with diverse feature sets. The reproduced approaches are com- bined in an ensemble, averaging the …...

The task of Word Sense Disambiguation (WSD) is to determine the meaning of an ambiguous word in a given context. In spite of its importance for most NLP pipelines, WSD …...

AbstractWe investigate the recently developed Bidi- rectional Encoder Representations from Transformers (BERT) model (Devlin et al. 2018) for the hyperpartisan news detection task. Using a subset of hand-labeled articles from …...

AbstractWord Sense Disambiguation remains a challenging NLP task. Due to the lack of annotated training data, especially for rare senses, the supervised approaches are usually designed for specific subdomains limited …...