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<h2>Welcome to the INK Lab @ USC</h2>
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The Intelligence and Knowledge Discovery (INK) Lab at <a href="https://www.usc.edu" target="_target">USC</a> 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 <a href="http://www-bcf.usc.edu/~xiangren/" target="_target">Prof. Xiang Ren</a>, the INK lab is also part of <a href="http://mascle.usc.edu/" target="_blank">USC Machine Learning Center</a>, <a href="https://cl.usc.edu" target="_blank">NLP Community@USC</a>, and <a href="http://usc-isi-i2.github.io/home/" target="_blank">ISI Center on Knowledge Graphs</a>.
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<ul>
<li><b>6/ 2022</b> - Our paper NewsEdits, led by Alexander, won an Outstanding Paper Award at NAACL 2022 for its contribution to best resource.</li>
<li><b>5/ 2022</b> - Xiang serves as senior area chair for EMNLP 2022 on commonsense reasoning</li>
<li><b>4/ 2022</b> - Xiang is selected as a <a href="https://research.google/outreach/research-scholar-program/" target="_blank">Google Research Scholar</a>.</li>
<li><b>4/ 2022</b> - Xiang starts part time as a visiting research scientist at AI2.</li>
<li><b>02/ 2022</b> - Xiang gave a talk at AI2 about commonsense reasoning in the wild. Check our <a href="shanzhenren.github.io/talk/Ren%20AI2%20Feb2022.pdf" target="_blank">slides</a> for our recent work.</li>
<li><b>12/ 2021</b> - Chenguang, Yuchen, Yicong, Meng, Wenhao and Xiang will be giving a tutorial "Knowledge-Augmented Methods for Natural Language Processing" at ACL 2022.</li>
<li><b>12/ 2021</b> - Xiang will start a collaborative project on bias mitigation of NLP models supported by a Facebook Research Award.</li>
<li><b>11/ 2021</b> - Xiang will co-organize three workshop in 2022 *CL conferences: <a href="" target="_blank">Workshop on Commonsense Representation and Reasoning</a> and <a href="" target="_blank">FL4NLP</a> at ACL 2022, and <a href="https://sites.google.com/view/deeplo-2022/" target="_blank">DeepLo</a> at NAACL 2022</li>
<li><b>10/ 2021</b> - Xiang will serve as an action editor (area chair) for ACL Rolling Review.</li>
<li><b>09/ 2021</b> - INK lab has 3 papers accepted at NeurIPS 2021 (one spotlight, two posters), presenting new results on explanation-based for NLP and continual learning.</li>
<li><b>08/ 2021</b> - INK lab has 9 papers accepted at EMNLP 2021 and 3 papers accepted to Findings of EMNLP. Congratulations to all authors!</li>
<li><b>07/23/ 2021</b> - 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 <a href="https://www.amazon.science/academic-engagements/usc-amazon-center-on-secure-and-trusted-machine-learning-selects-initial-research-projects" target="_blank">Amazon</a> and <a href="https://viterbischool.usc.edu/news/2021/07/uscamazon-center-announces-its-selected-projects-for-2021-2022/" target="_blank">USC</a>.</li>
<li><b>07/ 2021</b> - Xiang serves as area chair for EMNLP 2021, ICLR 2022, and AAAI 2022.
<li><b>06/ 2021</b> - USC covers <a href="https://viterbischool.usc.edu/news/2021/06/modeling-3-d-molecules-fighting-hate-speech-and-addressing-social-problems-using-ai-usc-viterbi-faculty-and-students-committed-to-k-12-outreach/" target="_blank">our K-12 outreach activities</a> on explaining to high school kids how AI can be applied to help combat online hate speech.
<li><b>06/ 2021</b> - Congratulations to Dongho, Ravi and the other authors for their paper "<a class="pub_title" href="">AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction</a>" wining the <b>Best Paper Award</b> at NAACL TrustNLP workshop!</li>
<li><b>05/ 2021</b> - 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.
<li><b>04/ 2021</b> - Our group won a NSF CAREER award to support the work on teaching machine through human explanations. </li>
<li><b>04/ 2021</b> - Our work on probing languages models (NumerSense) and knowledge-aware graph networks (KagNet) got <a href="https://cacm.acm.org/magazines/2021/4/251336-the-best-of-nlp/fulltext" target="_blank">covered by</a> Communications of the ACM. </li>
<li><b>04/ 2021</b> - Xiang gave an invited talk at Amazon Alexa AI. </li>
<li><b>03/ 2021</b> - INK lab has 4 papers accepted at NAACL 2021, with topics spanning over bias mitigation, open-ended commonsense reasoning, and cross-lingual learning</li>
<li><b>03/ 2021</b> - Xiang participated at USC Viterbi's K-12 outreach with Theodore Roosevelt High School and STEM Academy Hollywood.</li>
<li><b>02/ 2021</b> - Xiang gave an invited talk at UIUC NLP Seminar on "Teaching Machine through Human Explanations". <a href="talk/Ren-talk 2021-Mar-PDF.pdf" target="_blank">Slides</a> are available now.
</li>
<li><b>01/ 2021</b> - Check out our new papers on <a href="https://arxiv.org/abs/2011.07956"
target="_blank">
pre-training for concept-centric common sense</a> and <a href="https://arxiv.org/abs/2010.12872"
target="_blank">deceiving knowledge graph-augmented models</a>; both accepted to ICLR 2021.
</li>
<li><b>11/ 2020</b> - Our EMNLP work <a href="https://arxiv.org/abs/2010.12872"
target="_blank">
<b>CommonGen</b></a> and <a href="https://inklab.usc.edu/NumerSense/"
target="_blank"><b>NumerSense</b></a> got covered by <a class=""
href="https://techxplore.com/news/2020-11-reveals-ai-lacks-common.html"
target="_blank">Tech Xplore</a>, <a class=""
href="https://www.radio.com/fm1019/news/ai-still-lacks-common-sense-according-to-new-research"
target="_blank">Radio.com</a>, <a class=""
href="https://www.eurekalert.org/pub_releases/2020-11/uosc-ntr111820.php"
target="_blank">EurekAlert</a> and <a class=""
href="https://www.sciencedaily.com/releases/2020/11/201118141702.htm?"
target="_blank">ScienceDaily</a>.
</li>
<li><b>11/ 2020</b> - Our team got selected to participate in the 4th Alexa Prize Socialbot Grand Challenge.</li>
<li><b>10/ 2020</b> - Xiang is serving as Area Chair for ACL 2021, NAACL 2021 and IJCAI 2021.</li>
<li><b>Sep, 2020</b> - INK lab has 12 papers accepted to EMNLP 2020 (7 to main conference and 5 to Findings of EMNLP).</li>
<li><b>Aug, 2020</b> - Xiang will serve as Area Chair for AAAI 2021.</li>
<li><b>Aug, 2020</b> - Xiang will join a penal in <a href="https://sites.google.com/view/dash2020/program?authuser=0" target="_blank">DaSH@KDD 2020</a> to discuss open challenges in human-computer cooperation in data science, with Azza Adouzied, AnHai Doan, and Marti Hearts.</li>
<li><b>Jul, 2020</b> - Our ACL work on <a href="https://inklab.usc.edu/contextualize-hate-speech/" target="_blank">examining and reducing biases in hate speech detection algorithms</a> is featured by <a href="https://www.digitaltrends.com/features/solving-hate-speech-with-ai/?utm_source=twitter&utm_medium=social&utm_content=socialorg" target="_blank">Digital Trends</a>, <a href="https://www.sciencedaily.com/releases/2020/07/200707113229.htm" target="_blank">ScienceDaily</a>, <a href="https://www.eurekalert.org/pub_releases/2020-07/uosc-crr070620.php" target="_blank">EurekAlert</a>, <a href="https://www.unite.ai/new-study-attempts-to-improve-hate-speech-detection-algorithms/" target="_blank">Unite.AI</a>, and <a href="https://viterbischool.usc.edu/news/2020/07/context-reduces-racial-bias-in-hate-speech-detection-algorithms/" target="_blank">USCViterbi</a>.</li>
<li><b>Jul, 2020</b> - Xiang will serve as area chair in ICLR 2021.</li>
<li><b>May, 2020</b> - INK lab members Ryan Moreno and Lily Cao won Undegraduate Outstanding Student Award from USC. Congratulations!</li>
<li><b>May, 2020</b> - Our paper <a href="https://arxiv.org/abs/1909.02177" target="_blank">"NERO: A Neural Rule Grounding Framework for Label Efficient Relation Extraction"</a> received <b>Best Paper Award Runner-up</b> at <a href="https://www2020.thewebconf.org/" target="_blank">The Web Conference 2020</a>!</li>
<li><b>Apr, 2020</b> - INK Lab has four papers accepted at ACL 2020.</li>
<li><b>Apr, 2020</b> - Our LEAN-LIFE system for label-efficient, explanation-based annotation has been accepted to ACL 2020 demo track.</li>
<li><b>Mar, 2020</b> - Xiang received a Sony Faculty Research Award to support our work on learning from natural language explanations.</li>
<li><b>Mar, 2020</b> - Xiang will serve as area chair for ML on NLP in EMNLP 2020.</li>
<li><b>Feb, 2020</b> - Xiang gave invited talk about "<a href="http://ink-ron.usc.edu/xiangren/XiangRen-LTI%20talk.pdf" target="_blank">Fast Learning with Explanation and Prior Knowledge</a>" at CMU LTI colloquium and UT Austin.</li>
<li><b>Dec 2019</b> - INK lab has two papers (spotlight & poster) accepted at ICLR 2020.</li>
<li><b>Nov 2019</b> - Xiang was invited for a talk at CMU LTI Colloquium in Feb, 2020.</li>
<li><b>Sep 2019</b>- Xiang received a data science research award from Adobe Research to work on neural symbolic learning for recommendation.</li>
<li><b>Aug 2019</b> - INK lab members have 10 papers accepted at EMNLP 2019. Congratulations!</li>
<li><b>June 2019</b> - INK lab received a gift award from Snapchat to work on modular neural networks for interpretable NLP.</li>
<li><b>June 2019</b> - INK lab received a DARPA GAILA grant to work on building AI to mimic children language learning.</li>
<li><b>Mar 2019</b> - Xiang received a Google Faculty Award for supporting INK lab's research on explainable recommendation.</li>
<li><b>Jan 2019</b> - INK lab's research on interpretable knowledge reasoning is funded by JP Morgan AI Research Award.</li>
<li><b>Jan 2019</b> - INK lab received a 2018 <a href="https://ara.amazon-ml.com/recipients/#2018" target="_blank">Amazon Research Award</a> on neural-symbolic learning for NLP.</li>
<li><b>Jan 2019</b> - Xiang is serving as area chair (information extraction) of <a href="http://www.acl2019.org/EN/index.xhtml" target="_blank">ACL 2019</a>.</li>
<li><b>Dec 2018</b> - Xiang is organizer of the ICLR 2019 <a href="https://lld-workshop.github.io/" target="_blank">LLD Workshop</a> on learning from limited labeled data.</li>
<li><b>Dec 2018</b> - Xiang is organizer of the <a href="https://sites.google.com/view/repl4nlp2019" target="_blank">RepL4NLP Workshop</a> at ACL 2019 on representation Learning for NLP. We're soliciting submissions.</li>
<li><b>Nov 2018</b> - Xiang is organizing the <a href="https://sites.google.com/view/deeplo19/home" target="_blank">DeepLo Workshop</a> at EMNLP 2019 on deep learning for low-resource NLP.</li>
<li><b>Oct 2018</b> - Excited to release a new OpenIE system, <a href="https://gentlezhu.github.io/ReMine/" target="_blank">ReMine</a>. A key distinguishing feature is the ability to learn from entire corpus for measuring cohesiveness of the extraction. (<a href="https://gentlezhu.github.io/ReMine/" target="_blank">Project</a> | <a href="https://github.com/GentleZhu/ReMine" target="_blank">Github</a>)</li>
<li><b>Sep 2018</b> - Thanks National Science Foundation for supporting INK lab's collaborative research on <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=1829268" target="_blank">Modeling the Invention, Dissemination, and Translation of Scientific Concepts</a>.</li>
<li> <b>Aug 2018</b>: Three papers accepted to NIPS and EMNLP.
</li>
<li> <b>Aug 2018</b>: Xiang Ren is co-organizer of <a href="http://www.akbc.ws/2019/" target="_target">AKBC 2019</a>. Please submit your workshop proposals.</a>
</li>
<li> <b>Aug 2018</b>: Congrats to <a href="http://yuchenlin.xyz/" target="_target">Yuchen</a> on his two papers accepted to EMNLP!</a>
</li>
<li> <b>July 2018</b>: Xiang's <a href="https://www.morganclaypool.com/doi/10.2200/S00860ED1V01Y201806DMK015" target="_target">research monograph</a> on Effort-Light (WeakSupervision) approaches for Information Extraction is published by Morgan & Claypool Publishers.
</li>
<li> <b>July 2018</b>: Xiang won the <a href="https://cs.illinois.edu/news/xiang-ren-s-dissertation-recognized-sigkdd-dissertation-award" target="_target">2018 SIGKDD Dissertation Award</a>!
</li>
<li><b>May 2018</b> - Paper on scalable deep generative model for graph accepted to <a href="https://icml.cc/Conferences/2018/Schedule" target="_blank">ICML 2018</a>. <a href="https://github.com/JiaxuanYou/graph-generation" target="_blank">Github</a> is up.</li>
<li> <b>May 2018</b>: A WWW paper won the Best Poster Award Runner-up.
</li>
<li> <b>Apr 2018</b>: Two papers accepted to KDD and ACL.
</ul>
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