Search Results for author:
Found 6 papers, 2 papers with code
\textrm{DuReader}_{\textrm{vis}}: A Chinese Dataset for Open-domain Document Visual Question Answering
Open-domain question answering has been used in a wide range of applications, such as web search and enterprise search, which usually takes clean texts extracted from various formats of documents (e. g., web pages, PDFs, or Word documents) as the information source.
All Information is Valuable: Question Matching over Full Information Transmission Network
In this process, there are two kinds of critical information that are commonly employed: the representation information of original questions and the interactive information between pairs of questions.
TSGP: Two-Stage Generative Prompting for Unsupervised Commonsense Question Answering
In this paper, we aim to address the above limitation by leveraging the implicit knowledge stored in PrLMs and propose a two-stage prompt-based unsupervised commonsense question answering framework (TSGP).
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering
Specifically, JointLK performs joint reasoning between LM and GNN through a novel dense bidirectional attention module, in which each question token attends on KG nodes and each KG node attends on question tokens, and the two modal representations fuse and update mutually by multi-step interactions.
Multiple Structural Priors Guided Self Attention Network for Language Understanding
Self attention networks (SANs) have been widely utilized in recent NLP studies.
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity
We describe a method of calculating the similarity of questions in community QA.
