CoNLL 2011

53 papers

Link Type Based Pre-Cluster Pair Model for Coreference Resolution

Yang Song, Houfeng Wang, Jing Jiang

Coreference Resolution System using Maximum Entropy Classifier

Weipeng Chen, Muyu Zhang, Bing Qin

Reconciling OntoNotes: Unrestricted Coreference Resolution in OntoNotes with Reconcile.

Veselin Stoyanov, Uday Babbar, Pracheer Gupta, Claire Cardie

A Machine Learning-Based Coreference Detection System for OntoNotes

Yaqin Yang, Nianwen Xue, Peter Anick

UBIU: A Robust System for Resolving Unrestricted Coreference

Desislava Zhekova, Sandra Kübler

Coreference Resolution with Loose Transitivity Constraints

Xinxin Li, Xuan Wang, Shuhan Qi

Mention Detection: Heuristics for the OntoNotes annotations

Jonathan K. Kummerfeld, Mohit Bansal, David Burkett, Dan Klein

Poly-co: a multilayer perceptron approach for coreference detection

Eric Charton, Michel Gagnon

Hybrid Approach for Coreference Resolution

Lalitha Devi Sobha, Pattabhi RK Rao, R. Vijay Sundar Ram, CS. Malarkodi, A. Akilandeswari

Narrative Schema as World Knowledge for Coreference Resolution

Joseph Irwin, Mamoru Komachi, Yuji Matsumoto

An Incremental Model for Coreference Resolution with Restrictive Antecedent Accessibility

Manfred Klenner, Don Tuggener

ETS: An Error Tolerable System for Coreference Resolution

Hao Xiong, Linfeng Song, Fandong Meng, Yang Liu, Qun Liu

Supervised Coreference Resolution with SUCRE

Hamidreza Kobdani, Hinrich Schuetze

Combining Syntactic and Semantic Features by SVM for Unrestricted Coreference Resolution

HuiWei Zhou, Yao Li, Degen Huang, Yan Zhang, Chunlong Wu

Multi-metric optimization for coreference: The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task

Olga Uryupina, Sriparna Saha, Asif Ekbal, Massimo Poesio

Unrestricted Coreference Resolution via Global Hypergraph Partitioning

Jie Cai, Éva Mújdricza-Maydt, Michael Strube

Rule and Tree Ensembles for Unrestricted Coreference Resolution

Cicero Nogueira dos Santos, Davi Lopes Carvalho

Exploring Lexicalized Features for Coreference Resolution

Anders Björkelund, Pierre Nugues

Inference Protocols for Coreference Resolution

Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Nick Rizzolo, Mark Sammons

RelaxCor Participation in CoNLL Shared Task on Coreference Resolution

Emili Sapena, Lluís Padró, Jordi Turmo

Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task

Heeyoung Lee, Yves Peirsman, Angel Chang, Nathanael Chambers, Mihai Surdeanu

CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes

Sameer Pradhan, Lance Ramshaw, Mitchell Marcus, Martha Palmer, Ralph Weischedel

Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task

Sameer Pradhan

Learning Discriminative Projections for Text Similarity Measures

Wen-tau Yih, Kristina Toutanova, John C. Platt, Christopher Meek

Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?

Yoshimasa Tsuruoka, Yusuke Miyao, Jun’ichi Kazama

Adapting Text instead of the Model: An Open Domain Approach

Gourab Kundu, Dan Roth

Composing Simple Image Descriptions using Web-scale N-grams

Siming Li, Girish Kulkarni, Tamara L Berg, Alexander C Berg, Yejin Choi

(Invited talk) Bayesian Tools for Natural Language Learning

Yee Whye Teh

A Normalized-Cut Alignment Model for Mapping Hierarchical Semantic Structures onto Spoken Documents

Xiaodan Zhu

Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains

Ning Yu, Sandra Kübler

Evaluating a Semantic Network Automatically Constructed from Lexical Co-occurrence on a Word Sense Disambiguation Task

Sean Szumlanski, Fernando Gomez

Authorship Attribution with Latent Dirichlet Allocation

Yanir Seroussi, Ingrid Zukerman, Fabian Bohnert

Probabilistic Word Alignment under the L0-norm

Thomas Schoenemann

Automatically Building Training Examples for Entity Extraction

Marco Pennacchiotti, Patrick Pantel

Using the Mutual k-Nearest Neighbor Graphs for Semi-supervised Classification on Natural Language Data

Kohei Ozaki, Masashi Shimbo, Mamoru Komachi, Yuji Matsumoto

Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation

Bridget T. McInnes, Ted Pedersen, Ying Liu, Serguei V. Pakhomov, Genevieve B. Melton

Automatic Keyphrase Extraction by Bridging Vocabulary Gap

Zhiyuan Liu, Xinxiong Chen, Yabin Zheng, Maosong Sun

Language Models as Representations for Weakly Supervised NLP Tasks

Fei Huang, Alexander Yates, Arun Ahuja, Doug Downey

ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses

Felice Dell’Orletta, Giulia Venturi, Simonetta Montemagni

Assessing Benefit from Feature Feedback in Active Learning for Text Classification

Shilpa Arora, Eric Nyberg

Effects of Meaning-Preserving Corrections on Language Learning

Dana Angluin, Leonor Becerra-Bonache

Improving the Impact of Subjectivity Word Sense Disambiguation on Contextual Opinion Analysis

Cem Akkaya, Janyce Wiebe, Alexander Conrad, Rada Mihalcea

Gender Attribution: Tracing Stylometric Evidence Beyond Topic and Genre

Ruchita Sarawgi, Kailash Gajulapalli, Yejin Choi

Subword and Spatiotemporal Models for Identifying Actionable Information in Haitian Kreyol

Robert Munro

Using Sequence Kernels to identify Opinion Entities in Urdu

Smruthi Mukund, Debanjan Ghosh, Rohini Srihari

Search-based Structured Prediction applied to Biomedical Event Extraction

Andreas Vlachos, Mark Craven

(Invited talk) Computational Linguistics for Studying Language in People: Principles, Applications and Research Problems

Bruce Hayes

Word Segmentation as General Chunking

Daniel Hewlett, Paul Cohen

Modeling Infant Word Segmentation

Constantine Lignos

Punctuation: Making a Point in Unsupervised Dependency Parsing

Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky

The Effect of Automatic Tokenization, Vocalization, Stemming, and POS Tagging on Arabic Dependency Parsing

Emad Mohamed

Modeling Syntactic Context Improves Morphological Segmentation

Yoong Keok Lee, Aria Haghighi, Regina Barzilay

Proceedings of the Fifteenth Conference on Computational Natural Language Learning

Sharon Goldwater, Christopher Manning