The ability to analyse online user-generated content related to sentiments (eg, thoughts and
opinions) on products or policies has become a de-facto skillset for many companies and …

Cross-lingual summarization is the task of generating a summary in one language (eg,
English) for the given document (s) in a different language (eg, Chinese). Under the …

Textual information in the form of digital documents quickly accumulates to create huge
amounts of data. The majority of these documents are unstructured: it is unrestricted text and …

Sentiment analysis is the natural language processing task dealing with sentiment detection
and classification from texts. In recent years, due to the growth in the quantity and fast …

The past years have shown a steady growth in interest in the Natural Language Processing
task of sentiment analysis. The research community in this field has actively proposed and …

Relation extraction has been widely used for finding unknown relational facts from plain text.
Most existing methods focus on exploiting mono-lingual data for relation extraction, ignoring …

Computational syntactic processing is a fundamental technique in natural language
processing. It normally serves as a pre-processing method to transform natural language …

Automatic text summarization aims to produce summaries for one or more texts using
machine techniques. In this paper, we propose a novel statistical summarization system for …

As free online encyclopedias with massive volumes of content, Wikipedia and Wikidata are
key to many Natural Language Processing (NLP) tasks, such as information retrieval …

Syntactic processing techniques are the foundation of natural language processing (NLP),
supporting many downstream NLP tasks. In this paper, we conduct pair-wise multi-task …