Knowledge Graph Completion (KGC) has been recently extended to multiple knowledge
graph (KG) structures, initiating new research directions, eg static KGC, temporal KGC and …

Keyphrase extraction (KPE) automatically extracts phrases in a document that provide a
concise summary of the core content, which benefits downstream information retrieval and …

Text is one of the most common unstructured data, and usually, the most primary task in text
mining is to transfer the text into a structured representation. However, the existing text …

In community question answering, many questions have no topic labeling or the topic
labeling is very diverse, which has become the biggest obstacle to building the bridge …

Idiomatic expressions (IEs), characterized by their non-compositionality, are an important
part of natural language. They have been a classical challenge to NLP, including pre-trained …

Abstract To tackle Named Entity Recognition (NER) tasks, supervised methods need to
obtain sufficient cleanly annotated data, which is labor and time consuming. On the contrary …

Phrase embedding is a technique of representing phrases in vector space. A very high effort
has been made to develop this technique to improve tasking in various natural language …

Phrase embedding can improve the performance of multiple NLP tasks. Most of the previous
phrase-embedding methods that only use the external or internal semantic information of …

Accurate processing of non-compositional language relies on generating good
representations for such expressions. In this work, we study the representation of language …

Implicit discourse relation recognition (IDRR) is to detect and classify relation sense
between two text segments without an explicit connective. Existing neural network models …