activity
20182023
most citedTowards Large-Scale Small Object Detection: Survey and Benchmarks

637 citations · 875 across the 23 of their papers we have counts for

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Showing cs.CLShow all

8 papers · 1 filter

cs.CL2022

DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data

Xiao Li, Yin Zhu, Sichen Liu +3

Numerical reasoning over hybrid data containing tables and long texts has recently received research attention from the AI community. To generate an executable reasoning program co…

cs.CL2022★ 15 cited

Knowledge Base Question Answering: A Semantic Parsing Perspective

Yu Gu, Vardaan Pahuja, Gong Cheng +1

Recent advances in deep learning have greatly propelled the research on semantic parsing. Improvement has since been made in many downstream tasks, including natural language inter…

cs.CL2022★ 1 cited

AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension

Xiao Li, Gong Cheng, Ziheng Chen +2

Recent machine reading comprehension datasets such as ReClor and LogiQA require performing logical reasoning over text. Conventional neural models are insufficient for logical reas…

cs.CL2021

When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions

Zixian Huang, Ao Wu, Yulin Shen +2

Scenario-based question answering (SQA) requires retrieving and reading paragraphs from a large corpus to answer a question which is contextualized by a long scenario description.…

cs.CL2021★ 2 cited

TSQA: Tabular Scenario Based Question Answering

Xiao Li, Yawei Sun, Gong Cheng

Scenario-based question answering (SQA) has attracted an increasing research interest. Compared with the well-studied machine reading comprehension (MRC), SQA is a more challenging…

cs.CL2020★ 2 cited

Neural Entity Summarization with Joint Encoding and Weak Supervision

Junyou Li, Gong Cheng, Qingxia Liu +4

In a large-scale knowledge graph (KG), an entity is often described by a large number of triple-structured facts. Many applications require abridged versions of entity descriptions…

cs.CL2020★ 3 cited

SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases

Yawei Sun, Lingling Zhang, Gong Cheng +1

Semantic parsing transforms a natural language question into a formal query over a knowledge base. Many existing methods rely on syntactic parsing like dependencies. However, the a…

cs.CL2019★ 6 cited

GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level

Zixian Huang, Yulin Shen, Xiao Li +5

Scenario-based question answering (SQA) has attracted increasing research attention. It typically requires retrieving and integrating knowledge from multiple sources, and applying…