41 citations · 59 across the 9 of their papers we have counts for
9 papers
Towards Scalability and Extensibility of Query Reformulation Modeling in E-commerce Search
Ziqi Zhang, Yupin Huang, Quan Deng +3
Customer behavioral data significantly impacts e-commerce search systems. However, in the case of less common queries, the associated behavioral data tends to be sparse and noisy,…
PERT: A New Solution to Pinyin to Character Conversion Task
Jinghui Xiao, Qun Liu, Xin Jiang +3
Pinyin to Character conversion (P2C) task is the key task of Input Method Engine (IME) in commercial input software for Asian languages, such as Chinese, Japanese, Thai language an…
Program Transfer for Answering Complex Questions over Knowledge Bases
Shulin Cao, Jiaxin Shi, Zijun Yao +6
Program induction for answering complex questions over knowledge bases (KBs) aims to decompose a question into a multi-step program, whose execution against the KB produces the fin…
Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation
Hongyin Zhu, Hao Peng, Zhiheng Lyu +3
Existing technologies expand BERT from different perspectives, e.g. designing different pre-training tasks, different semantic granularities, and different model architectures. Few…
An Approach to Improve Robustness of NLP Systems against ASR Errors
Tong Cui, Jinghui Xiao, Liangyou Li +2
Speech-enabled systems typically first convert audio to text through an automatic speech recognition (ASR) model and then feed the text to downstream natural language processing (N…
PPKE: Knowledge Representation Learning by Path-based Pre-training
Bin He, Di Zhou, Jing Xie +3
Entities may have complex interactions in a knowledge graph (KG), such as multi-step relationships, which can be viewed as graph contextual information of the entities. Traditional…
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning
Bin He, Xin Jiang, Jinghui Xiao +1
Recent studies on pre-trained language models have demonstrated their ability to capture factual knowledge and applications in knowledge-aware downstream tasks. In this work, we pr…
HyperText: Endowing FastText with Hyperbolic Geometry
Yudong Zhu, Di Zhou, Jinghui Xiao +3
Natural language data exhibit tree-like hierarchical structures such as the hypernym-hyponym relations in WordNet. FastText, as the state-of-the-art text classifier based on shallo…
Integrating Graph Contextualized Knowledge into Pre-trained Language Models
Bin He, Di Zhou, Jinghui Xiao +4
Complex node interactions are common in knowledge graphs, and these interactions also contain rich knowledge information. However, traditional methods usually treat a triple as a t…