31 citations · 61 across the 7 of their papers we have counts for
9 papers
Adaptive Rule Discovery for Labeling Text Data
Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan
Creating and collecting labeled data is one of the major bottlenecks in machine learning pipelines and the emergence of automated feature generation techniques such as deep learnin…
Enhancing Review Comprehension with Domain-Specific Commonsense
Aaron Traylor, Chen Chen, Behzad Golshan +6
Review comprehension has played an increasingly important role in improving the quality of online services and products and commonsense knowledge can further enhance review compreh…
SubjQA: A Dataset for Subjectivity and Review Comprehension
Johannes Bjerva, Nikita Bhutani, Behzad Golshan +2
Subjectivity is the expression of internal opinions or beliefs which cannot be objectively observed or verified, and has been shown to be important for sentiment analysis and word-…
Essentia: Mining Domain-Specific Paraphrases with Word-Alignment Graphs
Danni Ma, Chen Chen, Behzad Golshan +1
Paraphrases are important linguistic resources for a wide variety of NLP applications. Many techniques for automatic paraphrase mining from general corpora have been proposed. Whil…
Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization
Wataru Hirota, Yoshihiko Suhara, Behzad Golshan +1
We present Emu, a system that semantically enhances multilingual sentence embeddings. Our framework fine-tunes pre-trained multilingual sentence embeddings using two main component…
A Team-Formation Algorithm for Faultline Minimization
Sanaz Bahargam, Behzad Golshan, Theodoros Lappas +1
In recent years, the proliferation of online resumes and the need to evaluate large populations of candidates for on-site and virtual teams have led to a growing interest in automa…
Scalable Semantic Querying of Text
Xiaolan Wang, Aaron Feng, Behzad Golshan +4
We present the KOKO system that takes declarative information extraction to a new level by incorporating advances in natural language processing techniques in its extraction langua…
HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments
Akari Asai, Sara Evensen, Behzad Golshan +7
The science of happiness is an area of positive psychology concerned with understanding what behaviors make people happy in a sustainable fashion. Recently, there has been interest…
Finding low-tension communities
Esther Galbrun, Behzad Golshan, Aristides Gionis +1
Motivated by applications that arise in online social media and collaboration networks, there has been a lot of work on community-search and team-formation problems. In the former…