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Box Embeddings: An open-source library for representation learning using geometric structures


Sep 10, 2021
Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum

* The source code and the usage and API documentation for the library is available at https://github.com/iesl/box-embeddings and https://www.iesl.cs.umass.edu/box-embeddings/main/index.html 

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Entity Linking and Discovery via Arborescence-based Supervised Clustering


Sep 02, 2021
Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum


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Word2Box: Learning Word Representation Using Box Embeddings


Jun 28, 2021
Shib Sankar Dasgupta, Michael Boratko, Shriya Atmakuri, Xiang Lorraine Li, Dhruvesh Patel, Andrew McCallum

* Work in progress 

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MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network


Jun 02, 2021
Nicholas FitzGerald, Jan A. Botha, Daniel Gillick, Daniel M. Bikel, Tom Kwiatkowski, Andrew McCallum

* Accepted to ACL 2021 

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Case-based Reasoning for Natural Language Queries over Knowledge Bases


Apr 18, 2021
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay-Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum


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Exact and Approximate Hierarchical Clustering Using A*


Apr 14, 2021
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum

* 30 pages, 9 figures 

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Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning


Apr 09, 2021
Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum

* NAACL-HLT 2021 

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Multi-facet Universal Schema


Mar 29, 2021
Rohan Paul, Haw-Shiuan Chang, Andrew McCallum

* EACL 2021 

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Changing the Mind of Transformers for Topically-Controllable Language Generation


Mar 29, 2021
Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum

* EACL 2021 

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Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications


Mar 29, 2021
Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum

* AAAI 2021 

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CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Example


Mar 24, 2021
Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani

* Submitted for single-blind review at the SIGIR 2021 Resource Track 

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Long Document Summarization in a Low Resource Setting using Pretrained Language Models


Mar 01, 2021
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum


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Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontology


Jan 27, 2021
Sunil Mohan, Rico Angell, Nick Monath, Andrew McCallum


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Scalable Bottom-Up Hierarchical Clustering


Nov 04, 2020
Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gokhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu


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Improving Local Identifiability in Probabilistic Box Embeddings


Oct 29, 2020
Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Lorraine Li, Andrew McCallum

* Accepted at NeurIPS2020 

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Clustering-based Inference for Zero-Shot Biomedical Entity Linking


Oct 21, 2020
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, Andrew McCallum


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Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion


Oct 09, 2020
Rajarshi Das, Ameya Godbole, Nicholas Monath, Manzil Zaheer, Andrew McCallum


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Unsupervised Pre-training for Biomedical Question Answering


Sep 27, 2020
Vaishnavi Kommaraju, Karthick Gunasekaran, Kun Li, Trapit Bansal, Andrew McCallum, Ivana Williams, Ana-Maria Istrate

* To appear in BioASQ workshop 2020 

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Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models


Sep 20, 2020
Subhajit Naskar, Amirmohammad Rooshenas, Simeng Sun, Mohit Iyyer, Andrew McCallum


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Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks


Sep 17, 2020
Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum

* To appear in EMNLP 2020 

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A Simple Approach to Case-Based Reasoning in Knowledge Bases


Jun 25, 2020
Rajarshi Das, Ameya Godbole, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum


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AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types


Jun 24, 2020
Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han

* KDD 2020 

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ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning


May 02, 2020
Michael Boratko, Xiang Lorraine Li, Rajarshi Das, Tim O'Gorman, Dan Le, Andrew McCallum


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Compact Representation of Uncertainty in Hierarchical Clustering


Feb 26, 2020
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Ji-Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum

* 21 pages, 5 figures 

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Scalable Hierarchical Clustering with Tree Grafting


Dec 31, 2019
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael Glass, Andrew McCallum

* 23 pages (appendix included), published at KDD 2019 

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Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision


Dec 02, 2019
Trapit Bansal, Pat Verga, Neha Choudhary, Andrew McCallum

* Accepted in AAAI 2020 

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Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition


Nov 17, 2019
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum


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