Mengqiu Wang


2014

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Two Knives Cut Better Than One: Chinese Word Segmentation with Dual Decomposition
Mengqiu Wang | Rob Voigt | Christopher D. Manning
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Mengqiu Wang | Christopher D. Manning
Transactions of the Association for Computational Linguistics, Volume 2

We consider a multilingual weakly supervised learning scenario where knowledge from annotated corpora in a resource-rich language is transferred via bitext to guide the learning in other languages. Past approaches project labels across bitext and use them as features or gold labels for training. We propose a new method that projects model expectations rather than labels, which facilities transfer of model uncertainty across language boundaries. We encode expectations as constraints and train a discriminative CRF model using Generalized Expectation Criteria (Mann and McCallum, 2010). Evaluated on standard Chinese-English and German-English NER datasets, our method demonstrates F1 scores of 64% and 60% when no labeled data is used. Attaining the same accuracy with supervised CRFs requires 12k and 1.5k labeled sentences. Furthermore, when combined with labeled examples, our method yields significant improvements over state-of-the-art supervised methods, achieving best reported numbers to date on Chinese OntoNotes and German CoNLL-03 datasets.

2013

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Named Entity Recognition with Bilingual Constraints
Wanxiang Che | Mengqiu Wang | Christopher D. Manning | Ting Liu
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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Feature Noising for Log-Linear Structured Prediction
Sida Wang | Mengqiu Wang | Stefan Wager | Percy Liang | Christopher D. Manning
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

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Learning Biological Processes with Global Constraints
Aju Thalappillil Scaria | Jonathan Berant | Mengqiu Wang | Peter Clark | Justin Lewis | Brittany Harding | Christopher D. Manning
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

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Learning a Product of Experts with Elitist Lasso
Mengqiu Wang | Christopher D. Manning
Proceedings of the Sixth International Joint Conference on Natural Language Processing

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Effect of Non-linear Deep Architecture in Sequence Labeling
Mengqiu Wang | Christopher D. Manning
Proceedings of the Sixth International Joint Conference on Natural Language Processing

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Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition
Mengqiu Wang | Wanxiang Che | Christopher D. Manning
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2012

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SPEDE: Probabilistic Edit Distance Metrics for MT Evaluation
Mengqiu Wang | Christopher Manning
Proceedings of the Seventh Workshop on Statistical Machine Translation

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Probabilistic Finite State Machines for Regression-based MT Evaluation
Mengqiu Wang | Christopher D. Manning
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

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Stanford: Probabilistic Edit Distance Metrics for STS
Mengqiu Wang | Daniel Cer
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

2010

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Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering
Mengqiu Wang | Christopher Manning
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)

2008

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A Re-examination of Dependency Path Kernels for Relation Extraction
Mengqiu Wang
Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-II

2007

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What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA
Mengqiu Wang | Noah A. Smith | Teruko Mitamura
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

2006

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Using Part-of-Speech Reranking to Improve Chinese Word Segmentation
Mengqiu Wang | Yanxin Shi
Proceedings of the Fifth SIGHAN Workshop on Chinese Language Processing

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Keyword Translation Accuracy and Cross-Lingual Question Answering inChinese and Japanese
Teruko Mitamura | Mengqiu Wang | Hideki Shima | Frank Lin
Proceedings of the Workshop on Multilingual Question Answering - MLQA ‘06

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A Fast, Accurate Deterministic Parser for Chinese
Mengqiu Wang | Kenji Sagae | Teruko Mitamura
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

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Modular Approach to Error Analysis and Evaluation for Multilingual Question Answering
Hideki Shima | Mengqiu Wang | Frank Lin | Teruko Mitamura
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

Multilingual Question Answering systems are generally very complex, integrating several sub-modules to achieve their result. Global metrics (such as average precision and recall) are insufficient when evaluating the performance of individual sub-modules and their influence on each other. In this paper, we present a modular approach to error analysis and evaluation; we use manually-constructed, gold-standard input for each module to obtain an upper-bound for the (local) performance of that module. This approach enables us to identify existing problem areas quickly, and to target improvements accordingly.