Search Results for author: Xiaolin Wang

Found 20 papers, 3 papers with code

Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task

no code implementations COLING 2022 Liang Wen, Juan Li, Houfeng Wang, Yingwei Luo, Xiaolin Wang, Xiaodong Zhang, Zhicong Cheng, Dawei Yin

And their experiments show that leveraging the answer summaries helps to attend the essential information in original lengthy answers and improve the answer selection performance under certain circumstances.

Answer Selection

A Multimodal Simultaneous Interpretation Prototype: Who Said What

no code implementations AMTA 2022 Xiaolin Wang, Masao Utiyama, Eiichiro Sumita

“Who said what” is essential for users to understand video streams that have more than one speaker, but conventional simultaneous interpretation systems merely present “what was said” in the form of subtitles.

Sentence TAG +1

Exploring General Intelligence of Program Analysis for Multiple Tasks

no code implementations29 Sep 2021 Yixin Guo, Pengcheng Li, Yingwei Luo, Xiaolin Wang, Zhenlin Wang

To this end, we explore a generic program embedding approach that aim at solving multiple program analysis tasks.

GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection

no code implementations18 Nov 2020 Yixin Guo, Pengcheng Li, Yingwei Luo, Xiaolin Wang, Zhenlin Wang

To this end, we propose a learning-aided approach to identify unnecessary memory operations intelligently with low overhead.

CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++

1 code implementation14 Apr 2018 Xiaolin Wang

This paper presents an open-source enforcement learning toolkit named CytonRL (https://github. com/arthurxlw/cytonRL).

Q-Learning reinforcement-learning +1

An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation

no code implementations WS 2016 Xiaolin Wang, Andrew Finch, Masao Utiyama, Eiichiro Sumita

Simultaneous interpretation is a very challenging application of machine translation in which the input is a stream of words from a speech recognition engine.

Automatic Speech Recognition (ASR) Machine Translation +5

A Prototype Automatic Simultaneous Interpretation System

no code implementations COLING 2016 Xiaolin Wang, Andrew Finch, Masao Utiyama, Eiichiro Sumita

Simultaneous interpretation allows people to communicate spontaneously across language boundaries, but such services are prohibitively expensive for the general public.

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