As one of the fundamental tasks in text analysis, phrase mining aims at extracting quality
phrases from a text corpus and has various downstream applications including information …

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

Identifying and understanding quality phrases from context is a fundamental task in text
mining. The most challenging part of this task arguably lies in uncommon, emerging, and …

Phrase mining is a fundamental text mining task that aims to identify quality phrases from
context. Nevertheless, the scarcity of extensive gold labels datasets, demanding substantial …

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 …

A phrase is a natural, meaningful, and essential semantic unit. In topic modeling, visualizing
phrases for individual topics is an effective way to explore and understand unstructured text …

Phrases represent independent semantics in natural language but usually have
indeterminate lengths and different combinations. So, extracting meaningful phrases from …

Phrase mining is a fundamental task for text analysis and has various downstream
applications such as named entity recognition, topic modeling, and relation extraction. In this …

In today's information era, people are inundated with vast amounts of text data. Every day,
there are thousands of scientific papers, tens of thousands of news articles, corporate …

Real-world data exists largely in the form of unstructured texts. A grand challenge on data
mining research is to develop effective and scalable methods that may transform …