no code implementations • 18 Feb 2023 • YuHang Zhou, Suraj Maharjan, Beiye Liu
In this paper, we propose two methods to automatically design multiple prompts and integrate automatic verbalizer in SSL settings without sacrificing performance.
no code implementations • SEMEVAL 2020 • Laksh Advani, Clement Lu, Suraj Maharjan
In today's interconnected and multilingual world, code-mixing of languages on social media is a common occurrence.
no code implementations • RANLP 2019 • Suraj Maharjan, Deepthi Mave, Prasha Shrestha, Manuel Montes, Fabio A. Gonz{\'a}lez, Thamar Solorio
An author{'}s way of presenting a story through his/her writing style has a great impact on whether the story will be liked by readers or not.
1 code implementation • WS 2017 • Gustavo Aguilar, Suraj Maharjan, Adrian Pastor López-Monroy, Thamar Solorio
Named Entity Recognition for social media data is challenging because of its inherent noisiness.
Ranked #21 on Named Entity Recognition (NER) on WNUT 2017
1 code implementation • EMNLP 2018 • Suraj Maharjan, Manuel Montes, Fabio A. Gonz{\'a}lez, Thamar Solorio
Likability prediction of books has many uses.
no code implementations • COLING 2018 • Sudipta Kar, Suraj Maharjan, Thamar Solorio
Folksonomy of movies covers a wide range of heterogeneous information about movies, like the genre, plot structure, visual experiences, soundtracks, metadata, and emotional experiences from watching a movie.
no code implementations • WS 2018 • Deepthi Mave, Suraj Maharjan, Thamar Solorio
In this paper, we detail our work on comparing different word-level language identification systems for code-switched Hindi-English data and a standard Spanish-English dataset.
1 code implementation • NAACL 2018 • Suraj Maharjan, Sudipta Kar, Manuel Montes-y-Gomez, Fabio A. Gonzalez, Thamar Solorio
Books have the power to make us feel happiness, sadness, pain, surprise, or sorrow.
no code implementations • LREC 2018 • Sudipta Kar, Suraj Maharjan, A. Pastor López-Monroy, Thamar Solorio
In this paper, we set out to the task of collecting a corpus of movie plot synopses and tags.
no code implementations • WS 2017 • Niloofar Safi Samghabadi, Suraj Maharjan, Alan Sprague, Raquel Diaz-Sprague, Thamar Solorio
Although social media has made it easy for people to connect on a virtually unlimited basis, it has also opened doors to people who misuse it to undermine, harass, humiliate, threaten and bully others.
no code implementations • SEMEVAL 2017 • Sudipta Kar, Suraj Maharjan, Thamar Solorio
In this paper, we present our systems for the {``}SemEval-2017 Task-5 on Fine-Grained Sentiment Analysis on Financial Microblogs and News{''}.
no code implementations • EACL 2017 • Suraj Maharjan, John Arevalo, Manuel Montes, Fabio A. Gonz{\'a}lez, Thamar Solorio
We investigate the value of feature engineering and neural network models for predicting successful writing.
no code implementations • WS 2016 • Mohammed Attia, Suraj Maharjan, Younes Samih, Laura Kallmeyer, Thamar Solorio
The evaluation results of our system on the test set is 88. 1{\%} (79. 0{\%} for TRUE only) f-measure for Task-1 on detecting semantic similarity, and 76. 0{\%} (42. 3{\%} when excluding RANDOM) for Task-2 on identifying finer-grained semantic relations.