Distantly Supervised Attribute Detection from Reviews
This work aims to detect specific attributes of a place (e.g., if it has a romantic atmosphere, or if it offers outdoor seating) from its user reviews via distant supervision: without direct annotation of the review text, we use the crowdsourced attribute labels of the place as labels of the review text. We then use review-level attention to pay more attention to those reviews related to the attributes. The experimental results show that our attention-based model predicts attributes for places from reviews with over 98{\%} accuracy. The attention weights assigned to each review provide explanation of capturing relevant reviews.
Code (0)
등록된 구현이 없습니다.
Tasks
AttributeEntity Extraction using GANSentiment AnalysisSimilar Papers 제목 키워드 기반
Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews
Online reviews are an important source of feedback for understanding customers. In this study, we follow novel approaches that target this absence of actionable insights by classifying reviews as defect reports and reque…
A distantly supervised dataset for automated data extraction from diagnostic studies
Systematic reviews are important in evidence based medicine, but are expensive to produce. Automating or semi-automating the data extraction of index test, target condition, and reference standard from articles has the p…
ArticlesDiagnosticApplying UMLS for Distantly Supervised Relation Detection
HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition
To tackle Named Entity Recognition (NER) tasks, supervised methods need to obtain sufficient cleanly annotated data, which is labor and time consuming. On the contrary, distantly supervised methods acquire automatically …
Boundary Detectionnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+1Distantly Supervised Aspect Clustering And Naming For E-Commerce Reviews
Product aspect extraction from reviews is a critical task for e-commerce services to understand customer preferences and pain points. While aspect phrases extraction and sentiment analysis have received a lot of attentio…
Aspect ExtractionClusteringSentenceSentence Embeddings+1