406 citations · 710 across the 30 of their papers we have counts for
7 papers · 1 filter
WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols
Jeniya Tabassum, Sydney Lee, Wei Xu +1
This paper presents the results of the wet lab information extraction task at WNUT 2020. This task consisted of two sub tasks: (1) a Named Entity Recognition (NER) task with 13 par…
Model Selection for Cross-Lingual Transfer
Yang Chen, Alan Ritter
Transformers that are pre-trained on multilingual corpora, such as, mBERT and XLM-RoBERTa, have achieved impressive cross-lingual transfer capabilities. In the zero-shot transfer s…
Measuring Forecasting Skill from Text
Shi Zong, Alan Ritter, Eduard Hovy
People vary in their ability to make accurate predictions about the future. Prior studies have shown that some individuals can predict the outcome of future events with consistentl…
Extracting a Knowledge Base of COVID-19 Events from Social Media
Shi Zong, Ashutosh Baheti, Wei Xu +1
In this paper, we present a manually annotated corpus of 10,000 tweets containing public reports of five COVID-19 events, including positive and negative tests, deaths, denied acce…
Fluent Response Generation for Conversational Question Answering
Ashutosh Baheti, Alan Ritter, Kevin Small
Question answering (QA) is an important aspect of open-domain conversational agents, garnering specific research focus in the conversational QA (ConvQA) subtask. One notable limita…
Code and Named Entity Recognition in StackOverflow
Jeniya Tabassum, Mounica Maddela, Wei Xu +1
There is an increasing interest in studying natural language and computer code together, as large corpora of programming texts become readily available on the Internet. For example…
An Empirical Study of Pre-trained Transformers for Arabic Information Extraction
Wuwei Lan, Yang Chen, Wei Xu +1
Multilingual pre-trained Transformers, such as mBERT (Devlin et al., 2019) and XLM-RoBERTa (Conneau et al., 2020a), have been shown to enable the effective cross-lingual zero-shot…