Convex Aggregation for Opinion Summarization
Recent advances in text autoencoders have significantly improved the quality of the latent space, which enables models to generate grammatical and consistent text from aggregated latent vectors. As a successful application of this property, unsupervised opinion summarization models generate a summary by decoding the aggregated latent vectors of inputs. More specifically, they perform the aggregation […]
Machamp: A Generalized Entity Matching Benchmark
Entity Matching (EM) refers to the problem of determining whether two different data representations refer to the same real-world entity. It has been a long-standing interest of the data management community and many efforts have been paid in creating benchmark tasks as well as in developing advanced matching techniques. However, existing benchmark tasks for EM […]
Addressing Overchoice: Automatically Generating Meaningful Filters from Hotel Reviews
A Span Extraction Approach for Dialog State Tracking: A Case Study in Hotel Booking Application
宿の推薦根拠説明システムにおける魅力度の考慮と実用を見据えた評価
要約付き宿検索対話コーパス
Deep Entity Matching with Pre-Trained Language Models
Data Augmentation for ML-driven Data Preparation and Integration
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews
Towards integrated, interactive, and extensible text data analytics with LEAM
From tweets to product reviews, text is ubiquitous on the web and often contains valuable information for both enterprises and consumers. However, the online text is generally noisy and incomplete, requiring users to process and analyze the data to extract insights. While there are systems effective for different stages of text analysis, users lack extensible […]
