The simultaneous surges in the research on socially assistive robotics and that on computer
vision can be seen as a result of the shifting and increasing necessities of our global …

In order to reduce the workload of manual grading and improve the efficiency of grading, a
computerized intelligent grading system for English translation based on natural language …

Existing research generally treats Chinese character as a minimum unit for representation.
However, such Chinese character representation will suffer two bottlenecks: 1) Learning …

Emotional expressions form a key part of user behavior on today's digital platforms. While
multimodal emotion recognition techniques are gaining research attention, there is a lack of …

Incorporating biasing words obtained as contextual knowledge is critical for many automatic
speech recognition (ASR) applications. This paper proposes the use of graph neural …

Spell check is a useful application which processes noisy human-generated text. Spell
check for Chinese poses unresolved problems due to the large number of characters, the …

Incorporating biasing words obtained through contextual knowledge is paramount in
automatic speech recognition (ASR) applications. This paper proposes an innovative …

Sememes are defined as the atomic units to describe the semantic meaning of concepts.
Due to the difficulty of manually annotating sememes and the inconsistency of annotations …

If one sees the place name Houston Mercer Dog Run in New York, how does one know how
to pronounce it? Assuming one knows that Houston in New York is pronounced/ˈhaʊstən …

Chinese word embedding models capture Chinese semantics based on the character
feature of Chinese words and the internal features of Chinese characters such as radical …