activity
20182023
most citedDocument-Level Relation Extraction with Reconstruction

7 citations · 36 across the 22 of their papers we have counts for

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Showing cs.CLShow all

29 papers · 1 filter

cs.CL2023★ 1 cited

HopPG: Self-Iterative Program Generation for Multi-Hop Question Answering over Heterogeneous Knowledge

Yingyao Wang, Yongwei Zhou, Chaoqun Duan +2

The semantic parsing-based method is an important research branch for knowledge-based question answering. It usually generates executable programs lean upon the question and then c…

cs.CL2023

CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition

Tingting Ma, Qianhui Wu, Huiqiang Jiang +3

Cross-lingual named entity recognition (NER) aims to train an NER system that generalizes well to a target language by leveraging labeled data in a given source language. Previous…

cs.CL2022★ 2 cited

MuGER: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering

Yingyao Wang, Junwei Bao, Chaoqun Duan +3

Hybrid question answering (HQA) aims to answer questions over heterogeneous data, including tables and passages linked to table cells. The heterogeneous data can provide different…

cs.CL2022

UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation

Yongwei Zhou, Junwei Bao, Chaoqun Duan +3

Question answering requiring discrete reasoning, e.g., arithmetic computing, comparison, and counting, over knowledge is a challenging task. In this paper, we propose UniRPG, a sem…

cs.CL2022★ 1 cited

Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers

Wanjun Zhong, Tingting Ma, Jiahai Wang +4

This paper presents ReasonFormer, a unified reasoning framework for mirroring the modular and compositional reasoning process of humans in complex decision-making. Inspired by dual…

cs.CL2022

OPERA:Operation-Pivoted Discrete Reasoning over Text

Yongwei Zhou, Junwei Bao, Chaoqun Duan +7

Machine reading comprehension (MRC) that requires discrete reasoning involving symbolic operations, e.g., addition, sorting, and counting, is a challenging task. According to this…