Aspect sentiment quad prediction (ASQP) is a challenging yet significant...
Event skeleton generation, aiming to induce an event schema skeleton gra...
Real-world data usually suffers from severe class imbalance and long-tai...
Event detection (ED), aiming to detect events from texts and categorize ...
Recently, large pre-trained neural language models have attained remarka...
Recently developed large pre-trained language models, e.g., BERT, have
a...
This paper presents the PALI team's winning system for SemEval-2021 Task...
Question answering from semi-structured tables can be seen as a semantic...
This paper describes MagicPai's system for SemEval 2021 Task 7, HaHackat...
Emotion dynamics modeling is a significant task in emotion recognition i...
Entity synonyms discovery is crucial for entity-leveraging applications....
Automatically and accurately identifying user intents and filling the
as...
Estimating covariance matrix from massive high-dimensional and distribut...
Deep neural networks (DNNs) have achieved outstanding performance in a w...
Data-dependent hashing methods have demonstrated good performance in var...
Task 1 of the DSTC8-track1 challenge aims to develop an end-to-end
multi...
Chinese word segmentation (CWS) is a fundamental task for Chinese langua...
In this paper, we address three challenges in utterance-level emotion
re...
Recently, deep neural networks (DNNs) have been regarded as the
state-of...
Currently, a growing number of health consumers are asking health-relate...
Previous work on recommender systems mainly focus on fitting the ratings...