Interpreting anaphoric references is a fundamental aspect of our language competence that
has long attracted the attention of computational linguists. The appearance of ever-larger …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

In recent times, sequence-to-sequence (seq2seq) models have gained a lot of popularity
and provide state-of-the-art performance in a wide variety of tasks, such as machine …

The knowledge on attacks contained in Cyber Threat Intelligence (CTI) reports is very
important to effectively identify and quickly respond to cyber threats. However, this …

Zero pronouns (ZPs) are frequently omitted in pro-drop languages (eg Chinese, Hungarian,
and Hindi), but should be recalled in non-pro-drop languages (eg English). This …

This paper investigates the ability of multilingual BERT (mBERT) language model to transfer
syntactic knowledge cross-lingually, verifying if and to which extent syntactic dependency …

The task of semantic parsing is highly useful for dialogue and question answering systems.
Many datasets have been proposed to map natural language text into SQL, among which …

Coreference resolution is one of the fundamental tasks in natural language processing
(NLP), and is of great significance to understand the semantics of texts. Meanwhile …

Deep neural network models for Chinese zero pronoun resolution learn semantic
information for zero pronoun and candidate antecedents, but tend to be short-sighted---they …

Recent neural network methods for zero pronoun resolution explore multiple models for
generating representation vectors for zero pronouns and their candidate antecedents …