81 citations · 497 across the 67 of their papers we have counts for
10 papers · 1 filter
Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators
Aldrian Obaja Muis, Wei Lu
In this paper, we propose a new model that is capable of recognizing overlapping mentions. We introduce a novel notion of mention separators that can be effectively used to capture…
Efficient Dependency-Guided Named Entity Recognition
Zhanming Jie, Aldrian Obaja Muis, Wei Lu
Named entity recognition (NER), which focuses on the extraction of semantically meaningful named entities and their semantic classes from text, serves as an indispensable component…
Weak Semi-Markov CRFs for NP Chunking in Informal Text
Aldrian Obaja Muis, Wei Lu
This paper introduces a new annotated corpus based on an existing informal text corpus: the NUS SMS Corpus (Chen and Kan, 2013). The new corpus includes 76,490 noun phrases from 26…
Neural Adaptation Layers for Cross-domain Named Entity Recognition
Bill Yuchen Lin, Wei Lu
Recent research efforts have shown that neural architectures can be effective in conventional information extraction tasks such as named entity recognition, yielding state-of-the-a…
Neural Segmental Hypergraphs for Overlapping Mention Recognition
Bailin Wang, Wei Lu
In this work, we propose a novel segmental hypergraph representation to model overlapping entity mentions that are prevalent in many practical datasets. We show that our model buil…
A Neural Transition-based Model for Nested Mention Recognition
Bailin Wang, Wei Lu, Yu Wang +1
It is common that entity mentions can contain other mentions recursively. This paper introduces a scalable transition-based method to model the nested structure of mentions. We fir…