Search Results for author:
Found 9 papers, 4 papers with code
Adaptive Rule Discovery for Labeling Text Data
At the same time, creating a labeled subset of the data can be costly and even infeasible in imbalanced settings.
SubjQA: A Dataset for Subjectivity and Review Comprehension
We find that subjectivity is also an important feature in the case of QA, albeit with more intricate interactions between subjectivity and QA performance.
Enhancing Review Comprehension with Domain-Specific Commonsense
In this paper, we introduce xSense, an effective system for review comprehension using domain-specific commonsense knowledge bases (xSense KBs).
Sampo: Unsupervised Knowledge Base Construction for Opinions and Implications
Since it can be expensive to obtain training data to learn to extract implications for each new domain of reviews, we propose an unsupervised KBC system, Sampo, Specifically, Sampo is tailored to build KBs for domains where many reviews on the same domain are available.
Essentia: Mining Domain-Specific Paraphrases with Word-Alignment Graphs
Paraphrases are important linguistic resources for a wide variety of NLP applications.
Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization
We present Emu, a system that semantically enhances multilingual sentence embeddings.
Scalable Semantic Querying of Text
KOKO is novel in that its extraction language simultaneously supports conditions on the surface of the text and on the structure of the dependency parse tree of sentences, thereby allowing for more refined extractions.
HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments
The science of happiness is an area of positive psychology concerned with understanding what behaviors make people happy in a sustainable fashion.
What do row and column marginals reveal about your dataset?
Numerous datasets ranging from group memberships within social networks to purchase histories on e-commerce sites are represented by binary matrices.
