The Multilingual Amazon Reviews Corpus

2020-10-06 · EMNLP 2020 11 · Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith

We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale collection of Amazon reviews for multilingual text classification. The corpus contains reviews in English, Japanese, German, French, Spanish, and Chinese, which were collected between 2015 and 2019. Each record in the dataset contains the review text, the review title, the star rating, an anonymized reviewer ID, an anonymized product ID, and the coarse-grained product category (e.g., 'books', 'appliances', etc.) The corpus is balanced across the 5 possible star ratings, so each rating constitutes 20% of the reviews in each language. For each language, there are 200,000, 5,000, and 5,000 reviews in the training, development, and test sets, respectively. We report baseline results for supervised text classification and zero-shot cross-lingual transfer learning by fine-tuning a multilingual BERT model on reviews data. We propose the use of mean absolute error (MAE) instead of classification accuracy for this task, since MAE accounts for the ordinal nature of the ratings.

📄 PDF Abstract BibTeX arXiv:2010.02573

Code (1)

mojave-pku/uniprompt pytorch

Tasks

Classification Cross-Lingual Transfer General ClassificationMultilingual text classificationtext-classification Text Classification Transfer Learning Zero-Shot Cross-Lingual Transfer

Methods 이 논문이 사용한 방법론

Linear Layer A Linear Layer is a projection $\mathbf{XW + b}$.

Dense Connections Dense Connections, or Fully Connected Connections, are a type of layer in a deep neural network that use a linear operation where every input is connected to every output…

Layer Normalization Unlike batch normalization, Layer Normalization directly estimates the normalization statistics from the summed inputs…

WordPiece 설명 없음

Multi-Head Attention 설명 없음

Dropout Dropout is a regularization technique for neural networks that drops a unit (along with connections) at training time with a specified probability $p$ (a common value is…

Linear Warmup With Linear Decay Linear Warmup With Linear Decay is a learning rate schedule in which we increase the learning rate linearly for $n$ updates and then linearly decay afterwards.

Attention Dropout Attention Dropout is a type of dropout used in attention-based architectures, where elements are randomly dropped out of the…

On Machine Translation of User Reviews

2021-09-01 · RANLP 2021 9 · Maja Popović, Alberto Poncelas, Marija Brkic, Andy Way

This work investigates neural machine translation (NMT) systems for translating English user reviews into Croatian and Serbian, two similar morphologically complex languages. Two types of reviews are used for testing the…

Machine Translation NMT Translation

AmazonQA: A Review-Based Question Answering Task

2019-08-12 · Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam 외

Every day, thousands of customers post questions on Amazon product pages. After some time, if they are fortunate, a knowledgeable customer might answer their question. Observing that many questions can be answered based …

Answer Generation Information Retrieval Question Answering Reading Comprehension+1

I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews

2021-04-14 · James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota 외

Counterfactual statements describe events that did not or cannot take place. We consider the problem of counterfactual detection (CFD) in product reviews. For this purpose, we annotate a multilingual CFD dataset from Ama…

counterfactual Counterfactual Detection Machine Translation Sentence+2

Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining

2018-09-21 · WS 2018 11 · Marco Passon, Marco Lippi, Giuseppe Serra, Carlo Tasso

Internet users generate content at unprecedented rates. Building intelligent systems capable of discriminating useful content within this ocean of information is thus becoming a urgent need. In this paper, we aim to pred…

I Wish I Would Have Loved This One, But I Didn’t – A Multilingual Dataset for Counterfactual Detection in Product Review

2021-11-01 · EMNLP 2021 11 · James O’Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota 외