14 citations · 35 across the 9 of their papers we have counts for
10 papers · 1 filter
An Empirical Study on Finding Spans
Weiwei Gu, Boyuan Zheng, Yunmo Chen +2
We present an empirical study on methods for span finding, the selection of consecutive tokens in text for some downstream tasks. We focus on approaches that can be employed in tra…
LOME: Large Ontology Multilingual Extraction
Patrick Xia, Guanghui Qin, Siddharth Vashishtha +7
We present LOME, a system for performing multilingual information extraction. Given a text document as input, our core system identifies spans of textual entity and event mentions…
Hierarchical Entity Typing via Multi-level Learning to Rank
Tongfei Chen, Yunmo Chen, Benjamin Van Durme
We propose a novel method for hierarchical entity classification that embraces ontological structure at both training and during prediction. At training, our novel multi-level lear…
Reading the Manual: Event Extraction as Definition Comprehension
Yunmo Chen, Tongfei Chen, Seth Ebner +2
We ask whether text understanding has progressed to where we may extract event information through incremental refinement of bleached statements derived from annotation manuals. Su…
Espresso: A Fast End-to-end Neural Speech Recognition Toolkit
Yiming Wang, Tongfei Chen, Hainan Xu +7
We present Espresso, an open-source, modular, extensible end-to-end neural automatic speech recognition (ASR) toolkit based on the deep learning library PyTorch and the popular neu…
Uncertain Natural Language Inference
Tongfei Chen, Zhengping Jiang, Adam Poliak +2
We introduce Uncertain Natural Language Inference (UNLI), a refinement of Natural Language Inference (NLI) that shifts away from categorical labels, targeting instead the direct pr…