---
title: "CoNLL 2010 — all accepted papers with summaries and citations"
description: "All 50 papers of CoNLL 2010, the most cited first; those with our summary link to it. Among them: (Invited Talk) Bayesian Hidden Markov…"
canonical: "https://research.elamur.ai/free/en/venues/conll/2010/papers/"
---
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# CoNLL 2010: all accepted papers

50 papers · the most cited first · [← CoNLL 2010](https://md.research.elamur.ai/free/en/venues/conll/2010/)

1. **[(Invited Talk) Bayesian Hidden Markov Models and Extensions ↗](https://aclanthology.org/W10-2908/)**Zoubin Ghahramani
2. **[(Invited Talk) Clueless: Explorations in Unsupervised, Knowledge-Lean Extraction of Lexical-Semantic Information ↗](https://aclanthology.org/W10-2907/)**Lillian Lee
3. **[A Baseline Approach for Detecting Sentences Containing Uncertainty ↗](https://aclanthology.org/W10-3022/)**Erik Tjong Kim Sang
4. **[A Cascade Method for Detecting Hedges and their Scope in Natural Language Text](https://md.research.elamur.ai/free/en/papers/tang-2010-cascade-method-detecting-hedges-their/)**Buzhou Tang, Xiaolong Wang, Xuan Wang et al.*our summary*
5. **[A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection ↗](https://aclanthology.org/W10-2918/)**Chenghua Lin, Yulan He, Richard Everson
6. **[A Hedgehop over a Max-Margin Framework Using Hedge Cues](https://md.research.elamur.ai/free/en/papers/georgescul-2010-hedgehop-over-max-margin-framework/)**Maria Georgescul*our summary*
7. **[A High-Precision Approach to Detecting Hedges and their Scopes](https://md.research.elamur.ai/free/en/papers/kilicoglu-2010-high-precision-approach-detecting-hedges/)**Halil Kilicoglu, Sabine Bergler*our summary*
8. **[A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification ↗](https://aclanthology.org/W10-2919/)**Jorge Carrillo de Albornoz, Laura Plaza, Pablo Gervás
9. **[A Lucene and Maximum Entropy Model Based Hedge Detection System](https://md.research.elamur.ai/free/en/papers/chen-2010-lucene-maximum-entropy-model-based/)**Lin Chen, Barbara Di Eugenio*our summary*
10. **[A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine Translation ↗](https://aclanthology.org/W10-2916/)**Sankaranarayanan Ananthakrishnan, Rohit Prasad, David Stallard et al.
11. **[A Simple Ensemble Method for Hedge Identification](https://md.research.elamur.ai/free/en/papers/szidarovszky-2010-simple-ensemble-method-hedge-identification/)**Ferenc Szidarovszky, Illés Solt, Domonkos Tikk*our summary*
12. **[Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection](https://md.research.elamur.ai/free/en/papers/rei-2010-combining-manual-rules-supervised-learning/)**Marek Rei, Ted Briscoe*our summary*
13. **[Computing Optimal Alignments for the IBM-3 Translation Model ↗](https://aclanthology.org/W10-2913/)**Thomas Schoenemann
14. **[Cross-Caption Coreference Resolution for Automatic Image Understanding ↗](https://aclanthology.org/W10-2920/)**Micah Hodosh, Peter Young, Cyrus Rashtchian et al.
15. **[Detecting Hedge Cues and their Scopes with Average Perceptron](https://md.research.elamur.ai/free/en/papers/ji-2010-detecting-hedge-cues-their-scopes/)**Feng Ji, Xipeng Qiu, Xuanjing Huang*our summary*
16. **[Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression](https://md.research.elamur.ai/free/en/papers/vlachos-2010-detecting-speculative-language-syntactic-dependencies/)**Andreas Vlachos, Mark Craven*our summary*
17. **[Distributed Asynchronous Online Learning for Natural Language Processing ↗](https://aclanthology.org/W10-2925/)**Kevin Gimpel, Dipanjan Das, Noah A. Smith
18. **[Driving Semantic Parsing from the World's Response ↗](https://aclanthology.org/W10-2903/)**James Clarke, Dan Goldwasser, Ming-Wei Chang et al.
19. **[Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages ↗](https://aclanthology.org/W10-2904/)**Alexander Clark
20. **[Exploiting CCG Structures with Tree Kernels for Speculation Detection](https://md.research.elamur.ai/free/en/papers/sanchez-2010-exploiting-ccg-structures-tree-kernels/)**Liliana Mamani Sánchez, Baoli Li, Carl Vogel*our summary*
21. **[Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts ↗](https://aclanthology.org/W10-3015/)**Huiwei Zhou, Xiaoyan Li, Degen Huang et al.
22. **[Exploiting Rich Features for Detecting Hedges and their Scope](https://md.research.elamur.ai/free/en/papers/li-2010-exploiting-rich-features-detecting-hedges/)**Xinxin Li, Jianping Shen, Xiang Gao et al.*our summary*
23. **[Features for Detecting Hedge Cues](https://md.research.elamur.ai/free/en/papers/shimizu-2010-features-detecting-hedge-cues/)**Nobuyuki Shimizu, Hiroshi Nakagawa*our summary*
24. **[Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier ↗](https://aclanthology.org/W10-3023/)**Yi Zheng, Qifeng Dai, Qiming Luo et al.
25. **[Hedge Detection Using the RelHunter Approach](https://md.research.elamur.ai/free/en/papers/fernandes-2010-hedge-detection-relhunter-approach/)**Eraldo Fernandes, Carlos Crestana, Ruy Milidiú*our summary*
26. **[Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection ↗](https://aclanthology.org/W10-3013/)**Shaodian Zhang, Hai Zhao, Guodong Zhou et al.
27. **[HedgeHunter: A System for Hedge Detection and Uncertainty Classification](https://md.research.elamur.ai/free/en/papers/clausen-2010-hedgehunter-system-hedge-detection-uncertainty/)**David Clausen*our summary*
28. **[Identifying Patterns for Unsupervised Grammar Induction ↗](https://aclanthology.org/W10-2905/)**Jesús Santamaría, Lourdes Araujo
29. **[Improved Natural Language Learning via Variance-Regularization Support Vector Machines ↗](https://aclanthology.org/W10-2921/)**Shane Bergsma, Dekang Lin, Dale Schuurmans
30. **[Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint ↗](https://aclanthology.org/W10-2909/)**Roi Reichart, Raanan Fattal, Ari Rappoport
31. **[Improvements in Unsupervised Co-Occurrence Based Parsing ↗](https://aclanthology.org/W10-2901/)**Christian Hänig
32. **[Improving Word Alignment by Semi-Supervised Ensemble ↗](https://aclanthology.org/W10-2917/)**Shujian Huang, Kangxi Li, Xinyu Dai et al.
33. **[Inspecting the Structural Biases of Dependency Parsing Algorithms ↗](https://aclanthology.org/W10-2927/)**Yoav Goldberg, Michael Elhadad
34. **[Joint Entity and Relation Extraction Using Card-Pyramid Parsing ↗](https://aclanthology.org/W10-2924/)**Rohit J. Kate, Raymond Mooney
35. **[Learning Better Monolingual Models with Unannotated Bilingual Text ↗](https://aclanthology.org/W10-2906/)**David Burkett, Slav Petrov, John Blitzer et al.
36. **[Learning Probabilistic Synchronous CFGs for Phrase-Based Translation ↗](https://aclanthology.org/W10-2915/)**Markos Mylonakis, Khalil Sima'an
37. **[Learning to Detect Hedges and their Scope Using CRF ↗](https://aclanthology.org/W10-3014/)**Qi Zhao, Chengjie Sun, Bingquan Liu et al.
38. **[Memory-Based Resolution of In-Sentence Scopes of Hedge Cues](https://md.research.elamur.ai/free/en/papers/morante-2010-memory-based-resolution-sentence-scopes/)**Roser Morante, Vincent Van Asch, Walter Daelemans*our summary*
39. **[On Reverse Feature Engineering of Syntactic Tree Kernels ↗](https://aclanthology.org/W10-2926/)**Daniele Pighin, Alessandro Moschitti
40. **[Online Entropy-Based Model of Lexical Category Acquisition ↗](https://aclanthology.org/W10-2922/)**Grzegorz Chrupała, Afra Alishahi
41. **[Recession Segmentation: Simpler Online Word Segmentation Using Limited Resources ↗](https://aclanthology.org/W10-2912/)**Constantine Lignos, Charles Yang
42. **[Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules ↗](https://aclanthology.org/W10-3007/)**Erik Velldal, Lilja Øvrelid, Stephan Oepen
43. **[Semi-Supervised Recognition of Sarcasm in Twitter and Amazon](https://md.research.elamur.ai/free/en/papers/davidov-2010-semi-supervised-recognition-sarcasm-twitter/)**Dmitry Davidov, Oren Tsur, Ari Rappoport*our summary*
44. **[Syntactic and Semantic Structure for Opinion Expression Detection ↗](https://aclanthology.org/W10-2910/)**Richard Johansson, Alessandro Moschitti
45. **[Tagging and Linking Web Forum Posts ↗](https://aclanthology.org/W10-2923/)**Su Nam Kim, Li Wang, Timothy Baldwin
46. **[The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text](https://md.research.elamur.ai/free/en/papers/farkas-2010-conll-2010-shared-task-learning/)**Richárd Farkas, Veronika Vincze, György Móra et al.*our summary*
47. **[Type Level Clustering Evaluation: New Measures and a POS Induction Case Study ↗](https://aclanthology.org/W10-2911/)**Roi Reichart, Omri Abend, Ari Rappoport
48. **[Uncertainty Detection as Approximate Max-Margin Sequence Labelling](https://md.research.elamur.ai/free/en/papers/tackstrom-2010-uncertainty-detection-as-approximate-max/)**Oscar Täckström, Sumithra Velupillai, Martin Hassel et al.*our summary*
49. **[Uncertainty Learning Using SVMs and CRFs ↗](https://aclanthology.org/W10-3019/)**Vinodkumar Prabhakaran
50. **[Viterbi Training Improves Unsupervised Dependency Parsing ↗](https://aclanthology.org/W10-2902/)**Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky et al.
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