36 citations · 172 across the 17 of their papers we have counts for
19 papers
Evaluating the Feasibility of a Provably Secure Privacy-Preserving Entity Resolution Adaptation of PPJoin using Homomorphic Encryption
Tanmay Ghai, Yixiang Yao, Srivatsan Ravi +1
Entity resolution is the task of disambiguating records that refer to the same entity in the real world. In this work, we explore adapting one of the most efficient and accurate Ja…
Enriching Wikidata with Linked Open Data
Bohui Zhang, Filip Ilievski, Pedro Szekely
Large public knowledge graphs, like Wikidata, contain billions of statements about tens of millions of entities, thus inspiring various use cases to exploit such knowledge graphs.…
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
Fei Wang, Zhewei Xu, Pedro Szekely +1
Controlled table-to-text generation seeks to generate natural language descriptions for highlighted subparts of a table. Previous SOTA systems still employ a sequence-to-sequence g…
Augmenting Knowledge Graphs for Better Link Prediction
Jiang Wang, Filip Ilievski, Pedro Szekely +1
Embedding methods have demonstrated robust performance on the task of link prediction in knowledge graphs, by mostly encoding entity relationships. Recent methods propose to enhanc…
Evaluating Machine Common Sense via Cloze Testing
Ehsan Qasemi, Lee Kezar, Jay Pujara +1
Language models (LMs) show state of the art performance for common sense (CS) question answering, but whether this ability implies a human-level mastery of CS remains an open quest…
Table-based Fact Verification with Salience-aware Learning
Fei Wang, Kexuan Sun, Jay Pujara +2
Tables provide valuable knowledge that can be used to verify textual statements. While a number of works have considered table-based fact verification, direct alignments of tabular…
Creating and Querying Personalized Versions of Wikidata on a Laptop
Hans Chalupsky, Pedro Szekely, Filip Ilievski +2
Application developers today have three choices for exploiting the knowledge present in Wikidata: they can download the Wikidata dumps in JSON or RDF format, they can use the Wikid…
User-friendly Comparison of Similarity Algorithms on Wikidata
Filip Ilievski, Pedro Szekely, Gleb Satyukov +1
While the similarity between two concept words has been evaluated and studied for decades, much less attention has been devoted to algorithms that can compute the similarity of nod…
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation
Yixiang Yao, Tanmay Ghai, Srivatsan Ravi +1
Entity resolution is the task of identifying records in different datasets that refer to the same entity in the real world. In sensitive domains (e.g. financial accounts, hospital…
A Study of the Quality of Wikidata
Kartik Shenoy, Filip Ilievski, Daniel Garijo +2
Wikidata has been increasingly adopted by many communities for a wide variety of applications, which demand high-quality knowledge to deliver successful results. In this paper, we…
Retrieving Complex Tables with Multi-Granular Graph Representation Learning
Fei Wang, Kexuan Sun, Muhao Chen +2
The task of natural language table retrieval (NLTR) seeks to retrieve semantically relevant tables based on natural language queries. Existing learning systems for this task often…
PaCo: Preconditions Attributed to Commonsense Knowledge
Ehsan Qasemi, Filip Ilievski, Muhao Chen +1
Humans can seamlessly reason with circumstantial preconditions of commonsense knowledge. We understand that a glass is used for drinking water, unless the glass is broken or the wa…
Representing Numbers in NLP: a Survey and a Vision
Avijit Thawani, Jay Pujara, Pedro A. Szekely +1
NLP systems rarely give special consideration to numbers found in text. This starkly contrasts with the consensus in neuroscience that, in the brain, numbers are represented differ…
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs
Woojeong Jin, Meng Qu, Xisen Jin +1
Knowledge graph reasoning is a critical task in natural language processing. The task becomes more challenging on temporal knowledge graphs, where each fact is associated with a ti…
TabVec: Table Vectors for Classification of Web Tables
Majid Ghasemi-Gol, Pedro Szekely
There are hundreds of millions of tables in Web pages that contain useful information for many applications. Leveraging data within these tables is difficult because of the wide va…
FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining
Mayank Kejriwal, Jiayuan Ding, Runqi Shao +2
In this paper, we describe and study the indicator mining problem in the online sex advertising domain. We present an in-development system, FlagIt (Flexible and adaptive generatio…
Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages
Rahul Kapoor, Mayank Kejriwal, Pedro Szekely
Extracting geographical tags from webpages is a well-motivated application in many domains. In illicit domains with unusual language models, like human trafficking, extracting geot…
Supervised Typing of Big Graphs using Semantic Embeddings
Mayank Kejriwal, Pedro Szekely
We propose a supervised algorithm for generating type embeddings in the same semantic vector space as a given set of entity embeddings. The algorithm is agnostic to the derivation…
Information Extraction in Illicit Domains
Mayank Kejriwal, Pedro Szekely
Extracting useful entities and attribute values from illicit domains such as human trafficking is a challenging problem with the potential for widespread social impact. Such domain…