Publications

@inproceedings{Kar2017,

title = {RiTUAL-UH at SemEval-2017 Task 5: Sentiment Analysis on Financial Data Using Neural Networks},

author = {Sudipta Kar and Suraj Maharjan and Thamar Solorio},

url = {http://www.aclweb.org/anthology/S17-2150},

year  = {2017},

date = {2017-08-03},

publisher = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},

abstract = {In this paper, we present our systems for the “SemEval-2017 Task-5 on FineGrained Sentiment Analysis on Financial Microblogs and News”. In our system, we combined hand-engineered lexical, sentiment and metadata features, the representations learned from Convolutional Neural Networks (CNN) and Bidirectional Gated Recurrent Unit (Bi-GRU) with Attention model applied on top. With this architecture, we obtained weighted cosine similarity scores of 72.34% and 74.37% for subtask-1 and subtask-2, respectively. Using the official scoring system, our system ranked the second place for subtask-2 and eighth place for the subtask-1. It ranked first for both of the subtasks by the scores achieved by an alternate scoring system.

.},

note = {Ranked 2nd for Subtask 2. With alternate scoring, ranked 1st in both subtask.},

keywords = {CNN, Neural Networks, Sentiment analysis},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Shrestha2017,

title = {Convolutional Neural Networks for Authorship Attribution of Short Texts},

author = { Prasha Shrestha and Sebastian Sierra and Fabio Gonzalez and Manuel Montes and Paolo Rosso and Thamar Solorio},

url = {https://www.aclweb.org/anthology/E/E17/E17-2106.pdf},

year  = {2017},

date = {2017-04-03},

booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},

pages = {669--674},

publisher = {Association for Computational Linguistics},

address = {Valencia, Spain},

keywords = {Authorship Attribution, CNN},

pubstate = {published},

tppubtype = {inproceedings}

}