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20162023
most citedSnippext: Semi-supervised Opinion Mining with Augmented Data

54 citations · 59 across the 8 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL20231 cited

TimelineQA: A Benchmark for Question Answering over Timelines

Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li +4

Lifelogs are descriptions of experiences that a person had during their life. Lifelogs are created by fusing data from the multitude of digital services, such as online photos, map…

cs.CL2023

Reimagining Retrieval Augmented Language Models for Answering Queries

Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez +4

We present a reality check on large language models and inspect the promise of retrieval augmented language models in comparison. Such language models are semi-parametric, where mo…

cs.CL2020

Deep or Simple Models for Semantic Tagging? It Depends on your Data [Experiments]

Jinfeng Li, Yuliang Li, Xiaolan Wang +1

Semantic tagging, which has extensive applications in text mining, predicts whether a given piece of text conveys the meaning of a given semantic tag. The problem of semantic taggi…

cs.CL20201 cited

Enhancing Review Comprehension with Domain-Specific Commonsense

Aaron Traylor, Chen Chen, Behzad Golshan +6

Review comprehension has played an increasingly important role in improving the quality of online services and products and commonsense knowledge can further enhance review compreh…

cs.CL202054 cited

Snippext: Semi-supervised Opinion Mining with Augmented Data

Zhengjie Miao, Yuliang Li, Xiaolan Wang +1

Online services are interested in solutions to opinion mining, which is the problem of extracting aspects, opinions, and sentiments from text. One method to mine opinions is to lev…