Likun Qiu


2020

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CDCPP:跨领域中文标点符号预测(CDCPP: Cross-Domain Chinese Punctuation Prediction)
Pengyuan Liu (刘鹏远) | Weikang Wang (王伟康) | Likun Qiu (邱立坤) | Bingjie Du (杜冰洁)
Proceedings of the 19th Chinese National Conference on Computational Linguistics

标点符号对文本理解起很大作用。但目前,在中文文本特别是在社交媒体及问答领域文本中的标点符号使用存在非常多的错误或缺失的情况,这严重影响对其进行语义分析及机器翻译等各项自然语言处理的效果。当前对标点符号进行预测的相关研究多集中于英文对话的语音转写文本,缺少对社交媒体及问答领域文本进行标点预测的相关研究,也没有这些领域公开的数据集。本文首先提出跨领域中文标点符号预测任务,该任务是要利用标点符号基本规范正确的大规模新闻领域文本,建立标点符号预测模型,然后在标点符号标注不规范的社交媒体及问答领域,进行跨领域标点符号预测。随后构建了新闻、社交媒体及问答三个领域的相应数据集。最后还实现了一个基于BERT的标点符号预测基线模型,并在该数据集上进行了实验与分析。实验结果表明,直接利用新闻领域训练的模型,在社交媒体及问答领域上进行标点符号预测的性能均有所下降,在问答领域下降较小,在微博领域下降较大,超过20%,跨领域标点符号预测任务具有一定的挑战性。

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多目标情感分类中文数据集构建及分析研究(Construction and Analysis of Chinese Multi-Target Sentiment Classification Dataset)
Pengyuan Liu (刘鹏远) | Yongsheng Tian (田永胜) | Chengyu Du (杜成玉) | Likun Qiu (邱立坤)
Proceedings of the 19th Chinese National Conference on Computational Linguistics

目标级情感分类任务是要得到句子中特定评价目标的情感倾向。一个评论句中往往存在多个目标,多个目标的情感可能一致,也可能不一致。但在已有针对目标级情感分类的评测数据集中:1)大多数是一个句子一个目标;2)在少数有多个目标的句子中,多个目标情感倾向分布很不均衡,多个目标情感一致的情形占较大优势。数据集本身的缺陷限制了模型针对多个目标进行情感分类的提升空间。针对以上问题,本文构建了一个针对多目标情感分类的中文数据集,人工标注了6339个评价目标,共2071条数据。该数据集:1)评价目标个数分布平衡;2)情感正负极性分布平衡;3)多目标情感倾向分布平衡。随后,本文利用多个目标情感分类的主流模型在该数据集上进行了实验与比较分析。结果表明现有主流模型尚不能对存在多个目标且目标情感倾向性不一致实例中的目标进行很好的分类,尤其是目标的情感倾向为中性时。多目标情感分类任务具有一定的难度与挑战性。

2019

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Improving Cross-Domain Chinese Word Segmentation with Word Embeddings
Yuxiao Ye | Weikang Li | Yue Zhang | Likun Qiu | Jian Sun
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Cross-domain Chinese Word Segmentation (CWS) remains a challenge despite recent progress in neural-based CWS. The limited amount of annotated data in the target domain has been the key obstacle to a satisfactory performance. In this paper, we propose a semi-supervised word-based approach to improving cross-domain CWS given a baseline segmenter. Particularly, our model only deploys word embeddings trained on raw text in the target domain, discarding complex hand-crafted features and domain-specific dictionaries. Innovative subsampling and negative sampling methods are proposed to derive word embeddings optimized for CWS. We conduct experiments on five datasets in special domains, covering domains in novels, medicine, and patent. Results show that our model can obviously improve cross-domain CWS, especially in the segmentation of domain-specific noun entities. The word F-measure increases by over 3.0% on four datasets, outperforming state-of-the-art semi-supervised and unsupervised cross-domain CWS approaches with a large margin. We make our data and code available on Github.

2015

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Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining
Likun Qiu | Yue Zhang | Yanan Lu
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

2014

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Multi-view Chinese Treebanking
Likun Qiu | Yue Zhang | Peng Jin | Houfeng Wang
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

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ZORE: A Syntax-based System for Chinese Open Relation Extraction
Likun Qiu | Yue Zhang
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

2012

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Exploiting Discourse Relations for Sentiment Analysis
Fei Wang | Yunfang Wu | Likun Qiu
Proceedings of COLING 2012: Posters

2010

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Expanding Chinese Sentiment Dictionaries from Large Scale Unlabeled Corpus
Hongzhi Xu | Kai Zhao | Likun Qiu | Changjian Hu
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation

2009

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A Hybrid Model for Sense Guessing of Chinese Unknown Words
Likun Qiu | Kai Zhao | Changjian Hu
Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, Volume 2

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SESS: A Self-Supervised and Syntax-Based Method for Sentiment Classification
Weishi Zhang | Kai Zhao | Likun Qiu | Changjian Hu
Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, Volume 2

2008

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A Method for Automatic POS Guessing of Chinese Unknown Words
Likun Qiu | Changjian Hu | Kai Zhao
Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)