Visual metaphors are powerful rhetorical devices used to persuade or
com...
Neural language models encode rich knowledge about entities and their
re...
A central question in natural language understanding (NLU) research is
w...
Recursive noun phrases (NPs) have interesting semantic properties. For
e...
Large scale language models encode rich commonsense knowledge acquired
t...
The intensity relationship that holds between scalar adjectives (e.g., n...
Pre-trained language models (LMs) encode rich information about linguist...
Pre-trained neural language models give high performance on natural lang...
Text simplification systems generate versions of texts that are easier t...
Adjectives like pretty, beautiful and gorgeous describe positive propert...
We present the MULTISEM systems submitted to SemEval 2020 Task 3: Graded...
We propose SumQE, a novel Quality Estimation model for summarization bas...
Network Embedding (NE) methods, which map network nodes to low-dimension...
Usage similarity estimation addresses the semantic proximity of word
ins...
Sentence simplification is the task of rewriting texts so they are easie...
Vector space embedding models like word2vec, GloVe, fastText, and ELMo a...