activity
20192021
most citedImputing Missing Events in Continuous-Time Event Streams

11 citations · 14 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2021

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction

Mahsa Yarmohammadi, Shijie Wu, Marc Marone +10

Zero-shot cross-lingual information extraction (IE) describes the construction of an IE model for some target language, given existing annotations exclusively in some other languag…

cs.CL2021

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…

cs.CL2020

CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models

Abhinav Singh, Patrick Xia, Guanghui Qin +2

Copy mechanisms are employed in sequence to sequence models (seq2seq) to generate reproductions of words from the input to the output. These frameworks, operating at the lexical ty…

cs.CL2020

Iterative Paraphrastic Augmentation with Discriminative Span Alignment

Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin +2

We introduce a novel paraphrastic augmentation strategy based on sentence-level lexically constrained paraphrasing and discriminative span alignment. Our approach allows for the la…

cs.LG20203 cited

Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification

Hongyuan Mei, Guanghui Qin, Minjie Xu +1

Learning how to predict future events from patterns of past events is difficult when the set of possible event types is large. Training an unrestricted neural model might overfit t…

cs.LG201911 cited

Imputing Missing Events in Continuous-Time Event Streams

Hongyuan Mei, Guanghui Qin, Jason Eisner

Events in the world may be caused by other, unobserved events. We consider sequences of events in continuous time. Given a probability model of complete sequences, we propose parti…