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20152021
most citedMulti-Document Summarization via Discriminative Summary Reranking

18 citations · 44 across the 14 of their papers we have counts for

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cs.CL2021

CodeQA: A Question Answering Dataset for Source Code Comprehension

Chenxiao Liu, Xiaojun Wan

We propose CodeQA, a free-form question answering dataset for the purpose of source code comprehension: given a code snippet and a question, a textual answer is required to be gene…

cs.CL20211 cited

Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering

Zhe Lin, Yitao Cai, Xiaojun Wan

Paraphrase generation is an important task in natural language processing. Previous works focus on sentence-level paraphrase generation, while ignoring document-level paraphrase ge…

cs.CL202116 cited

Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach

Zhe Lin, Xiaojun Wan

In recent years, neural paraphrase generation based on Seq2Seq has achieved superior performance, however, the generated paraphrase still has the problem of lack of diversity. In t…

cs.CL2021

Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing

Yitao Cai, Zhe Lin, Xiaojun Wan

Abstract Meaning Representation (AMR) is a rooted, labeled, acyclic graph representing the semantics of natural language. As previous works show, although AMR is designed for Engli…

cs.CL20201 cited

IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation

Yitao Cai, Xiaojun Wan

Context-dependent text-to-SQL task has drawn much attention in recent years. Previous models on context-dependent text-to-SQL task only concentrate on utilizing historical user inp…

cs.CL2020

Constructing a Family Tree of Ten Indo-European Languages with Delexicalized Cross-linguistic Transfer Patterns

Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan

It is reasonable to hypothesize that the divergence patterns formulated by historical linguists and typologists reflect constraints on human languages, and are thus consistent with…