📰 CoNLL 2014: all accepted papers

33 papers · the most cited first · ← CoNLL 2014

1. A Rudimentary Lexicon and Semantics Help Bootstrap Phoneme Acquisition ↗Abdellah Fourtassi, Emmanuel Dupoux
2. A Unified Framework for Grammar Error Correction ↗Longkai Zhang, Houfeng Wang · Shared Task
3. Automatic Transliteration of Romanized Dialectal Arabic ↗Mohamed Al-Badrashiny, Ramy Eskander, Nizar Habash et al.
4. CoNLL 2014 Shared Task: Grammatical Error Correction with a Syntactic N-gram Language Model from a Big Corpora ↗S. David Hernandez, Hiram Calvo · Shared Task
5. Distributed Word Representation Learning for Cross-Lingual Dependency Parsing ↗Min Xiao, Yuhong Guo
6. Domain-Specific Image Captioning ↗Rebecca Mason, Eugene Charniak
7. Factored Markov Translation with Robust Modeling ↗Yang Feng, Trevor Cohn, Xinkai Du
8. Factored Statistical Machine Translation for Grammatical Error Correction ↗Yiming Wang, Longyue Wang, Xiaodong Zeng et al. · Shared Task
9. Focused Entailment Graphs for Open IE Propositions ↗Omer Levy, Ido Dagan, Jacob Goldberger
10. Grammatical Error Detection Using Tagger Disagreement ↗Anubhav Gupta · Shared Task
11. Grammatical Error Detection and Correction using a Single Maximum Entropy Model ↗Peilu Wang, Zhongye Jia, Hai Zhao · Shared Task
12. Grammatical error correction using hybrid systems and type filtering ↗Mariano Felice, Zheng Yuan, Øistein E. Andersen et al. · Shared Task
13. Grounding Language with Points and Paths in Continuous Spaces ↗Jacob Andreas, Dan Klein
14. Hallucinating Phrase Translations for Low Resource MT ↗Ann Irvine, Chris Callison-Burch
15. Improved Pattern Learning for Bootstrapped Entity Extraction ↗Sonal Gupta, Christopher Manning
16. Inducing Neural Models of Script Knowledge ↗Ashutosh Modi, Ivan Titov
17. Learning to Rank Answer Candidates for Automatic Resolution of Crossword Puzzles ↗Gianni Barlacchi, Massimo Nicosia, Alessandro Moschitti
18. Lexicon Infused Phrase Embeddings for Named Entity ResolutionAlexandre Passos, Vineet Kumar, Andrew McCallumour summary
19. Linguistic Regularities in Sparse and Explicit Word RepresentationsOmer Levy, Yoav Goldbergour summary
20. Looking for Hyponyms in Vector Space ↗Marek Rei, Ted Briscoe
21. NTHU at the CoNLL-2014 Shared Task ↗Jian-Cheng Wu, Tzu-Hsi Yen, Jim Chang et al. · Shared Task
22. POSTECH Grammatical Error Correction System in the CoNLL-2014 Shared Task ↗Kyusong Lee, Gary Geunbae Lee · Shared Task
23. Probabilistic Modeling of Joint-context in Distributional Similarity ↗Oren Melamud, Ido Dagan, Jacob Goldberger et al.
24. RACAI GEC – A hybrid approach to Grammatical Error Correction ↗Tiberiu Boroș, Stefan Daniel Dumitrescu, Adrian Zafiu et al. · Shared Task
25. Reconstructing Native Language Typology from Foreign Language Usage ↗Yevgeni Berzak, Roi Reichart, Boris Katz
26. The AMU System in the CoNLL-2014 Shared Task: Grammatical Error Correction by Data-Intensive and Feature-Rich Statistical Machine Translation ↗Marcin Junczys-Dowmunt, Roman Grundkiewicz · Shared Task
27. The CoNLL-2014 Shared Task on Grammatical Error Correction ↗Hwee Tou Ng, Siew Mei Wu, Ted Briscoe et al. · Shared Task
28. The Illinois-Columbia System in the CoNLL-2014 Shared Task ↗Alla Rozovskaya, Kai-Wei Chang, Mark Sammons et al. · Shared Task
29. Towards Temporal Scoping of Relational Facts based on Wikipedia Data ↗Avirup Sil, Silviu-Petru Cucerzan
30. Treebank Translation for Cross-Lingual Parser Induction ↗Jörg Tiedemann, Željko Agić, Joakim Nivre
31. Tuning a Grammar Correction System for Increased Precision ↗Anoop Kunchukuttan, Sriram Chaudhury, Pushpak Bhattacharyya · Shared Task
32. Weakly-Supervised Bayesian Learning of a CCG Supertagger ↗Dan Garrette, Chris Dyer, Jason Baldridge et al.
33. What's in a p-value in NLP? ↗Anders Søgaard, Anders Johannsen, Barbara Plank et al.

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