activity
20152025
most citedLambdaNet: Probabilistic Type Inference using Graph Neural Networks

47 citations · 125 across the 23 of their papers we have counts for

collaborators
Showing 2019Show all

11 papers · 1 filter

cs.CL2019

Query-Focused Scenario Construction

Su Wang, Greg Durrett, Katrin Erk

The news coverage of events often contains not one but multiple incompatible accounts of what happened. We develop a query-based system that extracts compatible sets of events (sce…

cs.CL2019

Effective Use of Transformer Networks for Entity Tracking

Aditya Gupta, Greg Durrett

Tracking entities in procedural language requires understanding the transformations arising from actions on entities as well as those entities' interactions. While self-attention-b…

cs.CL2019

Fine-Grained Entity Typing for Domain Independent Entity Linking

Yasumasa Onoe, Greg Durrett

Neural entity linking models are very powerful, but run the risk of overfitting to the domain they are trained in. For this problem, a domain is characterized not just by genre of…

cs.CL2019

Sketch-Driven Regular Expression Generation from Natural Language and Examples

Xi Ye, Qiaochu Chen, Xinyu Wang +2

Recent systems for converting natural language descriptions into regular expressions (regexes) have achieved some success, but typically deal with short, formulaic text and can onl…

cs.PL2019

Multi-modal Synthesis of Regular Expressions

Qiaochu Chen, Xinyu Wang, Xi Ye +2

In this paper, we propose a multi-modal synthesis technique for automatically constructing regular expressions (regexes) from a combination of examples and natural language. Using…

cs.CL2019

Embedding time expressions for deep temporal ordering models

Tanya Goyal, Greg Durrett

Data-driven models have demonstrated state-of-the-art performance in inferring the temporal ordering of events in text. However, these models often overlook explicit temporal signa…