| DREAM: Improving Situational QA by First Elaborating the Situation | 0 | 0.34 | 2022 |
| ProofWriter - Generating Implications, Proofs, and Abductive Statements over Natural Language. | 0 | 0.34 | 2021 |
| Explaining Answers with Entailment Trees. | 0 | 0.34 | 2021 |
| Procedural Reading Comprehension with Attribute-Aware Context Flow | 0 | 0.34 | 2020 |
| A Dataset for Tracking Entities in Open Domain Procedural Text. | 0 | 0.34 | 2020 |
| From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project | 0 | 0.34 | 2020 |
| What-if I ask you to explain: Explaining the effects of perturbations in procedural text | 0 | 0.34 | 2020 |
| Be Consistent! Improving Procedural Text Comprehension using Label Consistency | 0 | 0.34 | 2019 |
| Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text | 0 | 0.34 | 2019 |
| Pretrained Language Models for Sequential Sentence Classification | 4 | 0.37 | 2019 |
| WIQA: A dataset for “What if…” reasoning over procedural text | 0 | 0.34 | 2019 |
| Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. | 1 | 0.36 | 2018 |
| Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension. | 5 | 0.42 | 2018 |
| Never-ending learning. | 18 | 0.95 | 2018 |
| A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications. | 5 | 0.45 | 2018 |
| What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text. | 2 | 0.38 | 2018 |
| Domain-Targeted, High Precision Knowledge Extraction. | 5 | 0.44 | 2017 |
| WOSPF: A Traffic Engineering Solution for OSPF Networks. | 0 | 0.34 | 2016 |
| IKE - An Interactive Tool for Knowledge Extraction. | 0 | 0.34 | 2016 |
| IKE - An Interactive Tool for Knowledge Extraction. | 2 | 0.38 | 2016 |
| Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies. | 7 | 0.67 | 2016 |
| Integrating Energy Storage in Electricity Distribution Networks | 7 | 0.63 | 2015 |
| Constrained Semi-supervised Learning in the Presence of Unanticipated Classes. | 0 | 0.34 | 2015 |
| Automatic Gloss Finding for a Knowledge Base using Ontological Constraints. | 12 | 0.59 | 2015 |
| A language modeling approach to entity recognition and disambiguation for search queries. | 2 | 0.45 | 2014 |
| From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering. | 5 | 0.42 | 2013 |
| Exploratory Learning. | 0 | 0.34 | 2013 |
| Very Fast Similarity Queries on Semi-Structured Data from the Web. | 0 | 0.34 | 2013 |
| Classifying entities into an incomplete ontology | 2 | 0.39 | 2013 |
| WebSets: extracting sets of entities from the web using unsupervised information extraction | 47 | 1.24 | 2012 |
| Collectively representing semi-structured data from the web | 0 | 0.34 | 2012 |
| Entity List Completion Using Set Expansion Techniques. | 8 | 1.07 | 2010 |
| Structure, tie persistence and event detection in large phone and SMS networks | 5 | 0.51 | 2010 |
| Keyword search on external memory data graphs | 64 | 1.85 | 2008 |
| Keyword search on external memory data graphs. | 0 | 0.34 | 2008 |
