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20162023
most citedDeep Learning for Sentiment Analysis : A Survey

50 citations · 132 across the 21 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

Deep Equilibrium Object Detection

Shuai Wang, Yao Teng, Limin Wang

Query-based object detectors directly decode image features into object instances with a set of learnable queries. These query vectors are progressively refined to stable meaningfu…

cs.CL2023★ 2 cited

Taxonomy Expansion for Named Entity Recognition

Karthikeyan K, Yogarshi Vyas, Jie Ma +7

Training a Named Entity Recognition (NER) model often involves fixing a taxonomy of entity types. However, requirements evolve and we might need the NER model to recognize addition…

cs.CL2023

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment

Robert Vacareanu, Siddharth Varia, Kishaloy Halder +5

We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks. We propose a pipeline a…

cs.CL2023★ 1 cited

Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization

Ming Shen, Jie Ma, Shuai Wang +4

Opinion summarization provides an important solution for summarizing opinions expressed among a large number of reviews. However, generating aspect-specific and general summaries i…

cs.CL2023★ 1 cited

Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views

Katerina Margatina, Shuai Wang, Yogarshi Vyas +3

Temporal concept drift refers to the problem of data changing over time. In NLP, that would entail that language (e.g. new expressions, meaning shifts) and factual knowledge (e.g.…