17 citations · 29 across the 5 of their papers we have counts for
6 papers
AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models
Alec Candidato, Akshat Gupta, Xiaomo Liu +1
This paper presents our submission for the SMM4H 2022-Shared Task on the classification of self-reported intimate partner violence on Twitter (in English). The goal of this task wa…
Towards Earnings Call and Stock Price Movement
Zhiqiang Ma, Grace Bang, Chong Wang +1
Earnings calls are hosted by management of public companies to discuss the company's financial performance with analysts and investors. Information disclosed during an earnings cal…
Empirical Study on Detecting Controversy in Social Media
Azadeh Nematzadeh, Grace Bang, Xiaomo Liu +1
Companies and financial investors are paying increasing attention to social consciousness in developing their corporate strategies and making investment decisions to support a sust…
Reuters Tracer: Toward Automated News Production Using Large Scale Social Media Data
Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li +3
To deal with the sheer volume of information and gain competitive advantage, the news industry has started to explore and invest in news automation. In this paper, we present Reute…
"Breaking" Disasters: Predicting and Characterizing the Global News Value of Natural and Man-made Disasters
Armineh Nourbakhsh, Quanzhi Li, Xiaomo Liu +1
Due to their often unexpected nature, natural and man-made disasters are difficult to monitor and detect for journalists and disaster management response teams. Journalists are inc…
Data Sets: Word Embeddings Learned from Tweets and General Data
Quanzhi Li, Sameena Shah, Xiaomo Liu +1
A word embedding is a low-dimensional, dense and real- valued vector representation of a word. Word embeddings have been used in many NLP tasks. They are usually gener- ated from a…