43 citations · 57 across the 7 of their papers we have counts for
8 papers · 1 filter
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
Erxin Yu, Lan Du, Yuan Jin +2
Recently, discrete latent variable models have received a surge of interest in both Natural Language Processing (NLP) and Computer Vision (CV), attributed to their comparable perfo…
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction
Bo Wang, Tao Shen, Guodong Long +2
Aspect-level sentiment classification (ALSC) aims at identifying the sentiment polarity of a specified aspect in a sentence. ALSC is a practical setting in aspect-based sentiment a…
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks
Tingyu Xia, Yue Wang, Yuan Tian +1
We study the problem of incorporating prior knowledge into a deep Transformer-based model,i.e.,Bidirectional Encoder Representations from Transformers (BERT), to enhance its perfor…
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
Bo Wang, Tao Shen, Guodong Long +2
Human-curated knowledge graphs provide critical supportive information to various natural language processing tasks, but these graphs are usually incomplete, urging auto-completion…
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
Zhepei Wei, Jianlin Su, Yue Wang +2
Extracting relational triples from unstructured text is crucial for large-scale knowledge graph construction. However, few existing works excel in solving the overlapping triple pr…
Zero-shot User Intent Detection via Capsule Neural Networks
Congying Xia, Chenwei Zhang, Xiaohui Yan +2
User intent detection plays a critical role in question-answering and dialog systems. Most previous works treat intent detection as a classification problem where utterances are la…