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Recent years have seen increasing re- search on extracting and using temporal information in natural language applica- tions. However most of the works found in the literature have focused on …...

We created a dataset of syntactic-ngrams (counted dependency-tree fragments) based on a corpus of 3.5 million English books. The dataset includes over 10 billion distinct items covering a wide range …...

This paper tackles the problem of timeline generation from traditional news sources. Our sys- tem builds thematic timelines for a general-domain topic defined by a user query. The system selects …...

AbstractWe introduce automatic verification as a post-processing step for entity linking (EL). The proposed method trusts EL system results collectively, by assuming entity mentions are mostly linked correctly, in order …...

AbstractFree text fields within electronic health records (EHRs) contain valuable clinical information which is often missed when conducting research using EHR databases. One such type of information is medications which …...

AbstractThis work collects and studies Chinese readers’ veridicality judgments to news events (whether an event is viewed as happening or not). For instance, in “The FBI alleged in court documents …...

AbstractThe meaning of a word is closely linked to sociocultural factors that can change over time and location, resulting in corresponding meaning changes. Taking a global view of words and …...

AbstractRecent years have witnessed the proliferation of offensive content online such as fake news, propaganda, misinformation, and disinformation. While initially this was mostly about textual content, over time images and …...