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ink research lab usc computer science home people research publications software sponsors teaching join us intelligence and knowledge discovery research lab usc welcome to the ink lab usc the intelligence and knowledge discovery ink lab at usc is a group of reseachers working on next generation machine intelligence techniques for label efficient machine learning knowledge guided natural language processing and knowledge reasoning our research spans across machine learning natural language processing and data mining with a focus on weak supervision methods for modeling natural language text data and graph structured data we are excited about both developing computational models and building practical systems for real world applications led by prof xiang ren the ink lab is also part of usc machine learning center nlp community usc and isi center on knowledge graphs news 6 2022 our paper newsedits led by alexander won an outstanding paper award at naacl 2022 for its contribution to best resource 5 2022 xiang serves as senior area chair for emnlp 2022 on commonsense reasoning 4 2022 xiang is selected as a google research scholar 4 2022 xiang starts part time as a visiting research scientist at ai2 02 2022 xiang gave a talk at ai2 about commonsense reasoning in the wild check our slides for our recent work 12 2021 chenguang yuchen yicong meng wenhao and xiang will be giving a tutorial knowledge augmented methods for natural language processing at acl 2022 12 2021 xiang will start a collaborative project on bias mitigation of nlp models supported by a facebook research award 11 2021 xiang will co organize three workshop in 2022 cl conferences workshop on commonsense representation and reasoning and fl4nlp at acl 2022 and deeplo at naacl 2022 10 2021 xiang will serve as an action editor area chair for acl rolling review 09 2021 ink lab has 3 papers accepted at neurips 2021 one spotlight two posters presenting new results on explanation based for nlp and continual learning 08 2021 ink lab has 9 papers accepted at emnlp 2021 and 3 papers accepted to findings of emnlp congratulations to all authors 07 23 2021 our lab received a research award from usc amazon center on secure and trusted machine learning to work on federated learning for nlp media coverage by amazon and usc 07 2021 xiang serves as area chair for emnlp 2021 iclr 2022 and aaai 2022 06 2021 usc covers our k 12 outreach activities on explaining to high school kids how ai can be applied to help combat online hate speech 06 2021 congratulations to dongho ravi and the other authors for their paper autotrigger named entity recognition with auxiliary trigger extraction wining the best paper award at naacl trustnlp workshop 05 2021 ink lab has 7 papers accepted to acl 2021 and its findings spanning over analysis of language models regarding common sense question answering and explanation based learning 04 2021 our group won a nsf career award to support the work on teaching machine through human explanations 04 2021 our work on probing languages models numersense and knowledge aware graph networks kagnet got covered by communications of the acm 04 2021 xiang gave an invited talk at amazon alexa ai 03 2021 ink lab has 4 papers accepted at naacl 2021 with topics spanning over bias mitigation open ended commonsense reasoning and cross lingual learning 03 2021 xiang participated at usc viterbi s k 12 outreach with theodore roosevelt high school and stem academy hollywood 02 2021 xiang gave an invited talk at uiuc nlp seminar on teaching machine through human explanations slides are available now 01 2021 check out our new papers on pre training for concept centric common sense and deceiving knowledge graph augmented models both accepted to iclr 2021 11 2020 our emnlp work commongen and numersense got covered by tech xplore radio com eurekalert and sciencedaily 11 2020 our team got selected to participate in the 4th alexa prize socialbot grand challenge 10 2020 xiang is serving as area chair for acl 2021 naacl 2021 and ijcai 2021 sep 2020 ink lab has 12 papers accepted to emnlp 2020 7 to main conference and 5 to findings of emnlp aug 2020 xiang will serve as area chair for aaai 2021 aug 2020 xiang will join a penal in dash kdd 2020 to discuss open challenges in human computer cooperation in data science with azza adouzied anhai doan and marti hearts jul 2020 our acl work on examining and reducing biases in hate speech detection algorithms is featured by digital trends sciencedaily eurekalert unite ai and uscviterbi jul 2020 xiang will serve as area chair in iclr 2021 may 2020 ink lab members ryan moreno and lily cao won undegraduate outstanding student award from usc congratulations may 2020 our paper nero a neural rule grounding framework for label efficient relation extraction received best paper award runner up at the web conference 2020 apr 2020 ink lab has four papers accepted at acl 2020 apr 2020 our lean life system for label efficient explanation based annotation has been accepted to acl 2020 demo track mar 2020 xiang received a sony faculty research award to support our work on learning from natural language explanations mar 2020 xiang will serve as area chair for ml on nlp in emnlp 2020 feb 2020 xiang gave invited talk about fast learning with explanation and prior knowledge at cmu lti colloquium and ut austin dec 2019 ink lab has two papers spotlight poster accepted at iclr 2020 nov 2019 xiang was invited for a talk at cmu lti colloquium in feb 2020 sep 2019 xiang received a data science research award from adobe research to work on neural symbolic learning for recommendation aug 2019 ink lab members have 10 papers accepted at emnlp 2019 congratulations june 2019 ink lab received a gift award from snapchat to work on modular neural networks for interpretable nlp june 2019 ink lab received a darpa gaila grant to work on building ai to mimic children language learning mar 2019 xiang received a google faculty award for supporting ink lab s research on explainable recommendation jan 2019 ink lab s research on interpretable knowledge reasoning is funded by jp morgan ai research award jan 2019 ink lab received a 2018 amazon research award on neural symbolic learning for nlp jan 2019 xiang is serving as area chair information extraction of acl 2019 dec 2018 xiang is organizer of the iclr 2019 lld workshop on learning from limited labeled data dec 2018 xiang is organizer of the repl4nlp workshop at acl 2019 on representation learning for nlp we re soliciting submissions nov 2018 xiang is organizing the deeplo workshop at emnlp 2019 on deep learning for low resource nlp oct 2018 excited to release a new openie system remine a key distinguishing feature is the ability to learn from entire corpus for measuring cohesiveness of the extraction project github sep 2018 thanks national science foundation for supporting ink lab s collaborative research on modeling the invention dissemination and translation of scientific concepts aug 2018 three papers accepted to nips and emnlp aug 2018 xiang ren is co organizer of akbc 2019 please submit your workshop proposals aug 2018 congrats to yuchen on his two papers accepted to emnlp july 2018 xiang s research monograph on effort light weaksupervision approaches for information extraction is published by morgan claypool publishers july 2018 xiang won the 2018 sigkdd dissertation award may 2018 paper on scalable deep generative model for graph accepted to icml 2018 github is up may 2018 a www paper won the best poster award runner up apr 2018 two papers accepted to kdd and acl copyright 2022 ink lab usc isi
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