83 citations · 457 across the 62 of their papers we have counts for
6 papers · 1 filter
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
Xiusi Chen, Yu Zhang, Jinliang Deng +2
Few-shot question answering (QA) aims at precisely discovering answers to a set of questions from context passages while only a few training samples are available. Although existin…
Incorporating External POS Tagger for Punctuation Restoration
Ning Shi, Wei Wang, Boxin Wang +3
Punctuation restoration is an important post-processing step in automatic speech recognition. Among other kinds of external information, part-of-speech (POS) taggers provide inform…
FGNET-RH: Fine-Grained Named Entity Typing via Refinement in Hyperbolic Space
Muhammad Asif Ali, Yifang Sun, Bing Li +1
Fine-Grained Named Entity Typing (FG-NET) aims at classifying the entity mentions into a wide range of entity types (usually hundreds) depending upon the context. While distant sup…
Revisit Systematic Generalization via Meaningful Learning
Ning Shi, Boxin Wang, Wei Wang +2
Humans can systematically generalize to novel compositions of existing concepts. Recent studies argue that neural networks appear inherently ineffective in such cognitive capacity,…
Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation
Wei Wang, Isaac Caswell, Ciprian Chelba
Noise and domain are important aspects of data quality for neural machine translation. Existing research focus separately on domain-data selection, clean-data selection, or their s…
How to best use Syntax in Semantic Role Labelling
Yufei Wang, Mark Johnson, Stephen Wan +2
There are many different ways in which external information might be used in an NLP task. This paper investigates how external syntactic information can be used most effectively in…