NLPExplorer

Smaranda Muresan

Number of Papers:- 42

Number of Citations:- 149

First ACL Paper:- 2001

Latest ACL Paper:- 2020

Venues:-

ACL

SIGDIAL

BEA

ArgMining

TAG+

*SEMEVAL

NAACL

LAW

Fig-Lang

LREC

EMNLP

COLING

PACLIC

CoNLL

Co-Authors:-

Alex Driban

Alexander Richard Fabbri

Alisa Zhila

Alyssa Hwang

Andrea Rocci

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A Report on the 2020 Sarcasm Detection Shared Task ACL Fig-Lang WS

Debanjan Ghosh | Avijit Vajpayee | Smaranda Muresan |

Proceedings of the Second Workshop on Figurative Language Processing ACL Fig-Lang WS

DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking ACL

Rˆ3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge ACL

Tuhin Chakrabarty | Debanjan Ghosh | Smaranda Muresan | Nanyun Peng |

AMPERSAND: Argument Mining for PERSuAsive oNline Discussions EMNLP

Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels EMNLP WS

Tariq Alhindi | Jonas Pfeiffer | Smaranda Muresan |

Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification *SEMEVAL

Zhuoran Liu | Shivali Goel | Mukund Yelahanka Raghuprasad | Smaranda Muresan |

ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning *SEMEVAL

Tuhin Chakrabarty | Smaranda Muresan |

Pay “Attention” to your Context when Classifying Abusive Language ACL WS

Tuhin Chakrabarty | Kilol Gupta | Smaranda Muresan |

Unsupervised Morphological Segmentation for Low-Resource Polysynthetic Languages ACL WS

Ramy Eskander | Judith Klavans | Smaranda Muresan |

Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays ACL WS

Sarcasm Analysis Using Conversation Context CL

Debanjan Ghosh | Alexander R. Fabbri | Smaranda Muresan |

A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations LREC

‘Lighter’ Can Still Be Dark: Modeling Comparative Color Descriptions ACL

Olivia Winn | Smaranda Muresan |

Proceedings of the Workshop on Figurative Language Processing Fig-Lang NAACL WS

Where is Your Evidence: Improving Fact-checking by Justification Modeling EMNLP WS

Tariq Alhindi | Savvas Petridis | Smaranda Muresan |

Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification. EMNLP WS

Tuhin Chakrabarty | Tariq Alhindi | Smaranda Muresan |

Automatically Tailoring Unsupervised Morphological Segmentation to the Language EMNLP WS

Ramy Eskander | Owen Rambow | Smaranda Muresan |

Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum ArgMining WS

The Role of Conversation Context for Sarcasm Detection in Online Interactions SIGDIAL WS

Debanjan Ghosh | Alexander Richard Fabbri | Smaranda Muresan |

Coarse-grained Argumentation Features for Scoring Persuasive Essays ACL

Debanjan Ghosh | Aquila Khanam | Yubo Han | Smaranda Muresan |

Towards Feasible Guidelines for the Annotation of Argument Schemes ArgMining WS

Elena Musi | Debanjan Ghosh | Smaranda Muresan |

Detecting Visually Relevant Sentences for Fine-Grained Classification WS

Olivia Winn | Madhavan Kavanur Kidambi | Smaranda Muresan |

Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words EMNLP

Debanjan Ghosh | Weiwei Guo | Smaranda Muresan |

Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop NAACL

Surprisal as a Predictor of Essay Quality BEA WS

Gaurav Kharkwal | Smaranda Muresan |

Analyzing Argumentative Discourse Units in Online Interactions WS

Annotating Multiparty Discourse: Challenges for Agreement Metrics LAW WS

Nina Wacholder | Smaranda Muresan | Debanjan Ghosh | Mark Aakhus |

Relation Classification using Entity Sequence Kernels COLING

Debanjan Ghosh | Smaranda Muresan |

Computational Analysis of Referring Expressions in Narratives of Picture Books NAACL WS

Choonkyu Lee | Smaranda Muresan | Karin Stromswold |

Learning to Interpret Natural Language Instructions WS

Search Space Properties for Learning a Class of Constraint-based Grammars TAG+ WS

Smaranda Muresan |

Combining Social Cognitive Theories with Linguistic Features for Multi-genre Sentiment Analysis PACLIC

Identifying Sarcasm in Twitter: A Closer Look ACL

Roberto González-Ibáñez | Smaranda Muresan | Nina Wacholder |

A Learnable Constraint-based Grammar Formalism COLING

Smaranda Muresan |

Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing (TextGraphs-4) WS

Monojit Choudhury | Samer Hassan | Animesh Mukherjee | Smaranda Muresan |

Generalizing Word Lattice Translation ACL

Christopher Dyer | Smaranda Muresan | Philip Resnik |

Learning to Map Text to Graph-Based Meaning Representations via Grammar Induction WS

Smaranda Muresan |

Grammar Approximation by Representative Sublanguage: A New Model for Language Learning ACL

Smaranda Muresan | Owen Rambow |

A Method for Automatically Building and Evaluating Dictionary Resources LREC

Smaranda Muresan | Judith Klavans |

Combining linguistic and machine learning techniques for email summarization CoNLL WS

Smaranda Muresan | Evelyne Tzoukermann | Judith L. Klavans |

GIST-IT: Combining Linguistic and Machine Learning Techniques for Email Summarization WS

Evelyne Tzoukermann | Smaranda Muresan | Judith L. Klavans |