NLPExplorer

Sameena Shah

Number of Papers:- 16

Number of Citations:- 0

First ACL Paper:- 2016

Latest ACL Paper:- 2024

Venues:-

NAACL

CoNLL

COLING

SMM4H

DaSH

EMNLP

SocialNLP

ACL

LAW

*SEMEVAL

Co-Authors:-

Adrian Garcia Hernandez

Similar Authors:-

TreeForm: End-to-end Annotation and Evaluation for Form Document Parsing LAW WS

Ran Zmigrod | Zhiqiang Ma | Armineh Nourbakhsh | Sameena Shah |

Towards a new research agenda for multimodal enterprise document understanding: What are we missing? F i n d i n g s - A C L

Armineh Nourbakhsh | Sameena Shah | Carolyn Rose |

AliGATr: Graph-based layout generation for form understanding F i n d i n g s - E M N L P

Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks EMNLP

Using counterfactual contrast to improve compositional generalization for multi-step quantitative reasoning ACL

Armineh Nourbakhsh | Sameena Shah | Carolyn Rosé |

AIR-JPMC@SMM4H’22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models COLING SMM4H WS

Alec Louis Candidato | Akshat Gupta | Xiaomo Liu | Sameena Shah |

AIR-JPMC@SMM4H’22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling COLING SMM4H WS

AIR-JPMC@SMM4H’22: BERT + Ensembling = Too Cool: Using Multiple BERT Models Together for Various COVID-19 Tweet Identification Tasks COLING SMM4H WS

Improving compositional generalization for multi-step quantitative reasoning in question answering EMNLP

Armineh Nourbakhsh | Cathy Jiao | Sameena Shah | Carolyn Rosé |

ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering EMNLP

ViziTex: Interactive Visual Sense-Making of Text Corpora DaSH NAACL

Natraj Raman | Sameena Shah | Tucker Balch | Manuela Veloso |

FinQA: A Dataset of Numerical Reasoning over Financial Data EMNLP

Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits CoNLL

Quanzhi Li | Sameena Shah |

funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts *SEMEVAL

funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter *SEMEVAL

Witness Identification in Twitter SocialNLP WS