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 …

In dialog system, dialog act recognition and sentiment classification are two correlative tasks
to capture speakers' intentions, where dialog act and sentiment can indicate the explicit and …

Abstract In linguistics, the Anaphora Resolution (AR) is the method of identifying the
antecedent for anaphora. In simple terms, this is the problem that helps to solve what the …

Dialogue understanding has always been a bottleneck for many conversational tasks, such
as dialogue response generation and conversational question answering. To expedite the …

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

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 …

Zero pronoun recovery and resolution aim at recovering the dropped pronoun and pointing
out its anaphoric mentions, respectively. We propose to better explore their interaction by …

Zero pronouns (ZPs) are frequently omitted in pro-drop languages, but should be recalled in
non-pro-drop languages. This discourse phenomenon poses a significant challenge for …

Abstract In languages like Arabic, Chinese, Italian, Japanese, Korean, Portuguese, Spanish,
and many others, predicate arguments in certain syntactic positions are not realized instead …