The ambiguity in language expressions poses a great challenge for event detection. To
disambiguate event types, current approaches rely on external NLP toolkits to build …

Existing keyphrase extraction methods suffer from data sparsity problem when they are
conducted on short and informal texts, especially microblog messages. Enriching context is …

Text summarization is an important task in natural language processing and it has been
applied in many applications. Recently, abstractive summarization has attracted many …

Event detection is a particularly challenging problem in information extraction. The current
neural network models have proved that dependency tree can better capture the correlation …

Based on a recently developed fine-grained event extraction dataset for the economic
domain, we present in a pilot study for supervised economic event extraction. We investigate …

Some events, such as terrorism attacks, earthquakes, and other events that represent tipping
points, remain engraved in our memories. Today, through social media, researchers attempt …

Millions of messages are produced on microblog platforms every day, leading to the
pressing need for automatic identification of key points from the massive texts. To absorb …

摘要文本聚类是一种无监督且高效的文本类别划分方法. 从文本中抽取的关键词代表了文本主旨
内容, 基于关键词的文本聚类是当下主流方式之一. 在学术文本聚类研究中, 主要使用单一的聚类 …

Event Detection (ED), which aims to identify trigger words from the given text and classify
them into corresponding event types, is an important task in Natural Language Processing …

Event mining is a useful way to understand computer system behaviors. The focus of recent
works on event mining has been shifted to event summarization from discovering frequent …