Computers understand very little of the meaning of human language. This profoundly limits
our ability to give instructions to computers, the ability of computers to explain their actions to …

As an essential component of human cognition, cause–effect relations appear frequently in
text, and curating cause–effect relations from text helps in building causal networks for …

In response to the continuing research interest in computational semantic analysis, we have
proposed a new task for SemEval-2010: multi-way classification of mutually exclusive …

Research into corpus-based semantics has focused on the development of ad hoc models
that treat single tasks, or sets of closely related tasks, as unrelated challenges to be tackled …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet
lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model …

In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …

• San Francisco, ad hoc, by and large, Where Eagles Dare, kick the bucket, part of speech, in
step, the Oakland Raiders, trip the light fantastic, telephone box, call (someone) up, take a …

Background In the era of information overload, natural language processing (NLP)
techniques are increasingly needed to support advanced biomedical information …

In this paper we have proposed a linguistically informed recursive neural network
architecture for automatic extraction of cause-effect relations from text. These relations can …