Search Results for author: Yoshihiko Suhara

Found 15 papers, 9 papers with code

Comparative Opinion Summarization via Collaborative Decoding

1 code implementation Findings (ACL) 2022 Hayate Iso, Xiaolan Wang, Stefanos Angelidis, Yoshihiko Suhara

Opinion summarization focuses on generating summaries that reflect popular subjective information expressed in multiple online reviews.

Annotating Columns with Pre-trained Language Models

1 code implementation5 Apr 2021 Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çağatay Demiralp, Chen Chen, Wang-Chiew Tan

Inferring meta information about tables, such as column headers or relationships between columns, is an active research topic in data management as we find many tables are missing some of this information.

Multi-Task Learning Table annotation +1

Convex Aggregation for Opinion Summarization

1 code implementation Findings (EMNLP) 2021 Hayate Iso, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, Wang-Chiew Tan

We found that text autoencoders tend to generate overly generic summaries from simply averaged latent vectors due to an unexpected $L_2$-norm shrinkage in the aggregated latent vectors, which we refer to as summary vector degeneration.

Unsupervised Opinion Summarization

Extractive Opinion Summarization in Quantized Transformer Spaces

2 code implementations8 Dec 2020 Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, Xiaolan Wang, Mirella Lapata

We present the Quantized Transformer (QT), an unsupervised system for extractive opinion summarization.

Extract Aspect

OpinionDigest: A Simple Framework for Opinion Summarization

1 code implementation ACL 2020 Yoshihiko Suhara, Xiaolan Wang, Stefanos Angelidis, Wang-Chiew Tan

The framework uses an Aspect-based Sentiment Analysis model to extract opinion phrases from reviews, and trains a Transformer model to reconstruct the original reviews from these extractions.

Aspect-Based Sentiment Analysis

Enhancing Review Comprehension with Domain-Specific Commonsense

no code implementations6 Apr 2020 Aaron Traylor, Chen Chen, Behzad Golshan, Xiaolan Wang, Yuliang Li, Yoshihiko Suhara, Jinfeng Li, Cagatay Demiralp, Wang-Chiew Tan

In this paper, we introduce xSense, an effective system for review comprehension using domain-specific commonsense knowledge bases (xSense KBs).

Aspect Extraction Knowledge Distillation +2

Deep Entity Matching with Pre-Trained Language Models

1 code implementation1 Apr 2020 Yuliang Li, Jinfeng Li, Yoshihiko Suhara, AnHai Doan, Wang-Chiew Tan

Our experiments show that a straightforward application of language models such as BERT, DistilBERT, or RoBERTa pre-trained on large text corpora already significantly improves the matching quality and outperforms previous state-of-the-art (SOTA), by up to 29% of F1 score on benchmark datasets.

Data Augmentation Entity Resolution

Understanding Human Judgments of Causality

no code implementations19 Dec 2019 Masahiro Kazama, Yoshihiko Suhara, Andrey Bogomolov, Alex `Sandy' Pentland

We also analyzed the differences between the expert and non-expert machine algorithms based on their neural representations to evaluate the performances, providing insight into the human experts' and non-experts' cognitive abilities.

Sato: Contextual Semantic Type Detection in Tables

1 code implementation14 Nov 2019 Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çağatay Demiralp, Wang-Chiew Tan

Detecting the semantic types of data columns in relational tables is important for various data preparation and information retrieval tasks such as data cleaning, schema matching, data discovery, and semantic search.

Information Retrieval Structured Prediction

Happiness Entailment: Automating Suggestions for Well-Being

no code implementations23 Jul 2019 Sara Evensen, Yoshihiko Suhara, Alon Halevy, Vivian Li, Wang-Chiew Tan, Saran Mumick

We prototype one necessary component of such a system, the Happiness Entailment Recognition (HER) module, which takes as input a short text describing an event, a candidate suggestion, and outputs a determination about whether the suggestion is more likely to be good for this user based on the event described.

HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments

2 code implementations LREC 2018 Akari Asai, Sara Evensen, Behzad Golshan, Alon Halevy, Vivian Li, Andrei Lopatenko, Daniela Stepanov, Yoshihiko Suhara, Wang-Chiew Tan, Yinzhan Xu

The science of happiness is an area of positive psychology concerned with understanding what behaviors make people happy in a sustainable fashion.

Art Analysis

A Lightweight Front-end Tool for Interactive Entity Population

no code implementations1 Aug 2017 Hidekazu Oiwa, Yoshihiko Suhara, Jiyu Komiya, Andrei Lopatenko

Entity population, a task of collecting entities that belong to a particular category, has attracted attention from vertical domains.

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