Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

The field of data visualisation has long aimed to devise solutions for generating
visualisations directly from natural language text. Research in Natural Language Interfaces …

With the abundant amount of available online and offline text data, there arises a crucial
need to extract the relation between phrases and summarize the main content of each …

The explosion of data in recent years is driving individuals to leverage technology to
generate insights. Traditional tools bring heavy learning overheads and the requirement for …

Querying both structured and unstructured data via a single common query interface such as
SQL or natural language has been a long standing research goal. Moreover, as methods for …

Open-domain question answering systems need to answer question of our interests with
structured and unstructured information. However, existing approaches only select one …

Open Information Extraction (OIE), the task aimed at discovering all textual facts organized in
the form of (subject, predicate, object) found within a sentence, has gained much attention …

Distant supervision (DS) has been widely used to automatically construct (noisy) labeled
data for relation extraction (RE). To address the noisy label problem, most models have …

Abstract Open Information Extraction (OpenIE) aims to discover textual facts from a given
sentence. In essence, the facts contained in plain text are unordered. However, the popular …

Distant supervision (DS) has been a prevalent approach to generating labeled data for
information extraction (IE) tasks. However, DS often suffers from noisy label problems, where …