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20192026
most citedMental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

215 citations · 1.6k across the 99 of their papers we have counts for

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Showing 2022Show all

11 papers · 1 filter

cs.AI2022

MBTI Personality Prediction for Fictional Characters Using Movie Scripts

Yisi Sang, Xiangyang Mou, Mo Yu +3

An NLP model that understands stories should be able to understand the characters in them. To support the development of neural models for this purpose, we construct a benchmark, S…

cs.SD2022★ 1 cited

Melody Infilling with User-Provided Structural Context

Chih-Pin Tan, Alvin W. Y. Su, Yi-Hsuan Yang

This paper proposes a novel Transformer-based model for music score infilling, to generate a music passage that fills in the gap between given past and future contexts. While exist…

cs.AI2022★ 2 cited

NECE: Narrative Event Chain Extraction Toolkit

Guangxuan Xu, Paulina Toro Isaza, Moshi Li +7

To understand a narrative, it is essential to comprehend the temporal event flows, especially those associated with main characters; however, this can be challenging with lengthy a…

cs.CL2022★ 2 cited

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours

Eyal Shnarch, Alon Halfon, Ariel Gera +19

Text classification can be useful in many real-world scenarios, saving a lot of time for end users. However, building a custom classifier typically requires coding skills and ML kn…

cs.CL2022★ 3 cited

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran +74

Evaluation in machine learning is usually informed by past choices, for example which datasets or metrics to use. This standardization enables the comparison on equal footing using…

cs.CR2022★ 1 cited

A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions

Yong Xie, Dakuo Wang, Pin-Yu Chen +3

More and more investors and machine learning models rely on social media (e.g., Twitter and Reddit) to gather real-time information and sentiment to predict stock price movements.…