68 citations · 169 across the 24 of their papers we have counts for
24 papers
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…
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…
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…
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles
Yunxiang Zhang, Xiaojun Wan
A riddle is a question or statement with double or veiled meanings, followed by an unexpected answer. Solving riddle is a challenging task for both machine and human, testing the c…
MOVER: Mask, Over-generate and Rank for Hyperbole Generation
Yunxiang Zhang, Xiaojun Wan
Despite being a common figure of speech, hyperbole is under-researched in Figurative Language Processing. In this paper, we tackle the challenging task of hyperbole generation to t…
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…