activity
20182020
most citedNeural Polysynthetic Language Modelling

13 citations · 17 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CL202013 cited

Neural Polysynthetic Language Modelling

Lane Schwartz, Francis Tyers, Lori Levin +18

Research in natural language processing commonly assumes that approaches that work well for English and and other widely-used languages are "language agnostic". In high-resource la…

cs.CL20194 cited

The ARIEL-CMU Systems for LoReHLT18

Aditi Chaudhary, Siddharth Dalmia, Junjie Hu +27

This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery a…

cs.CL2018

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…

cs.CL2018

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…

cs.CL2018

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…

cs.CL2018

Learning to Recognize Discontiguous Entities

Aldrian Obaja Muis, Wei Lu

This paper focuses on the study of recognizing discontiguous entities. Motivated by a previous work, we propose to use a novel hypergraph representation to jointly encode discontig…