Ancient Chinese is the essence of Chinese culture. There are several natural language
processing tasks of ancient Chinese domain, such as ancient-modern Chinese translation …

Emotion dynamics modeling is a significant task in emotion recognition in conversation. It
aims to predict conversational emotions when building empathetic dialogue systems …

Human evaluation is becoming a necessity to test the performance of Chatbots. However, off-
the-shelf settings suffer the severe reliability and replication issues partly because of the …

This paper presents the PALI team's winning system for SemEval-2021 Task 2: Multilingual
and Cross-lingual Word-in-Context Disambiguation. We fine-tune XLM-RoBERTa model to …

This paper presents a dataset for closest opposite questions in Arabic language. The
dataset is the first of its kind for the Arabic language. It is beneficial for the assessment of …

Recently developed large pre-trained language models, eg, BERT, have achieved
remarkable performance in many downstream natural language processing applications …

Question answering from semi-structured tables can be seen as a semantic parsing task and
is significant and practical for pushing the boundary of natural language understanding …

Text-to-speech (TTS) technology has the potential to enable real-time communication for
applications such as automatic interpreters or assistive technologies for the speech …

Word embeddings form the significant basis for natural language processing. Traditional
word embeddings concentrate on unimodal learning on linguistic (ie, textual) contents …

Abstract Deep Question Generation (DQG) involves generating a complex question given an
input passage. This task involves reasoning over multiple sources of information in the …