iesl.cs.umass.eduUMass IESL
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iesl.cs.umass.edu
Maindomain:umass.edu
Title:UMass IESL
Description:Located 60 miles south of Boston UMass Dartmouth is a national research university offering bachelor’s masters and doctoral programs as well as the JD degree at UMass Law
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-- News People -- People Director -- Director Postdocs -- Postdocs Students -- PhD Students Masters Students Undergraduates Staff -- Staff Visiting Scholars Alumni -- Alumni Research Projects Publications Software Datasets -- Datasets UMass Citation Field Extraction Dataset Wikilinks Dataset BibTex Dataset Social Wiki (internal) -- Information Extraction and Synthesis Laboratory Information A collection of facts, relations or events from which conclusions may be drawn. Knowledge that has been gathered or received. Extraction Obtaining materials in concentrated, usable form from a dilluted, unusable source. Synthesis The combining of separate elements or substances to form a coherent whole. Reasoning from the general to the particular; logical deduction. Laboratory An organization performing scientific experimentation and research. IESL aims to dramatically increase our ability to mine actionable knowledge from unstructured text. We are especially interested in information extraction from the Web, understanding the connections between people and between organizations, expert finding, social network analysis, and mining the scientific literature and community. We develop and employ various methods in statistical machine learning, natural language processing and information retrieval. We tend toward probabilistic approaches, graphical models, and Bayesian methods. -- × Latest News LISA has won the best paper award at EMNLP 2018!. Congrats Emma and Pat ! Linguistically-Informed Self-Attention for Semantic Role Labeling (LISA) and Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets are accepted to EMNLP 2018. Compact Representation of Uncertainty In Clustering has been accepted to NIPS 2018. Embedded-State Latent Conditional Random Fields for Sequence Labeling is accepted to CoNLL 2018. Andrew McCallum appointed as a distinguished professor. Congrats Andrew! Box embeddings and hierarchical losses and new resource for fine grained entity typing and linking is accepted to ACL 2018! 3 papers accepted to NAACL 2018! - Bio Medical Relation Extraction , Unsupervised Hypernymy Detection and training SPEN’s with indirect supervision . MINERVA is accepted to ICLR 2018 . Andrew McCallum will be leading the Computable Knowledge project , a new partnership with Chan Zuckerberg Initiative . Andrew McCallum has been named as an 2017 ACM fellow . Congrats Andrew! Emma Strubell receives the IBM Ph.D. Fellowship award. Congrats Emma! MINERVA , a new way of reasoning on large knowledge bases using reinforcement learning has won the best paper award at AKBC at NIPS 2017 . Active Bias : Training more accurate neural networks by emphasizing high variance samples has been accepted to NIPS 2017. Iterated Dilated Convolutions , a faster and better alternative to Bi-LSTMs for named entity recognition has been accepted to EMNLP 2017. PERCH , a new non-greedy algorithm for online hierarchical clustering that scales to both massive number of samples and number of clusters has accepted to KDD 2017. QA on Knowledge Bases and Text using Universal Schema and Memory Networks has been accepted to ACL 2017. Structured Prediction Energy Networks [Belanger, McCallum ICML 2016] are an alternative to graphical models, leveraging deep learning to discover rich dependencies among output variables. Our research on universal schema is currently at the top of the Stanford KBP leaderboard ! Congratulations to Haw-Shiuan Chang , Pat Verga , Emma Strubell , Nick Monath , and the other IESL students who worked on this. Arvind Neelakantan receives the Google Ph.D. fellowship in Machine Learning. OpenReview.net is hosting reviewing for ICLR 2018 . It has previously hosted ICLR 2017 , UAI 2017 . FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala . It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference. -- Follow @andrewmccallum Tweets by andrewmccallum Follow @UMassAmherst Tweets by UMassCICS -- Follow @andrewmccallum Tweets by andrewmccallum Follow @UMassAmherst Tweets by UMassAmherst Follow UMassCICS Tweets by UMassCICS Follow @NipsConference Tweets by NipsConference -- © 2018 College of Information and Computer Sciences , University of Massachusetts Amherst ....