no code implementations • EMNLP 2021 • Tim O’Gorman, Zach Jensen, Sheshera Mysore, Kevin Huang, Rubayyat Mahbub, Elsa Olivetti, Andrew McCallum
Material science synthesis procedures are a promising domain for scientific NLP, as proper modeling of these recipes could provide insight into new ways of creating materials.
1 code implementation • 16 Nov 2021 • Sheshera Mysore, Arman Cohan, Tom Hope
We present a new scientific document similarity model based on matching fine-grained aspects of texts.
1 code implementation • 24 Mar 2021 • Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani
Query by Example is a well-known information retrieval task in which a document is chosen by the user as the search query and the goal is to retrieve relevant documents from a large collection.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Tim O{'}Gorman, Rajarshi Das, Andrew McCallum
Fortunately, such specific domains often use rather formulaic writing, such that the different ways of expressing relations in a small number of grammatically similar labeled sentences may provide high coverage of semantic structures in the corpus, through an appropriately rich similarity metric.
no code implementations • CONLL 2019 • Pallavi Patil, Kriti Myer, Ronak Zala, Arpit Singh, Sheshera Mysore, Andrew McCallum, Adrian Benton, Am Stent, a
The sources of knowledge we use are news text and Freebase, a manually curated knowledge base.
no code implementations • WS 2019 • Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti
Materials science literature contains millions of materials synthesis procedures described in unstructured natural language text.
1 code implementation • 31 Dec 2018 • Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti
Leveraging new data sources is a key step in accelerating the pace of materials design and discovery.
no code implementations • 18 Nov 2017 • Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa Olivetti
In this work, we present a system for automatically extracting structured representations of synthesis procedures from the texts of materials science journal articles that describe explicit, experimental syntheses of inorganic compounds.