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20192023
most citedFact or Factitious? Contextualized Opinion Spam Detection

27 citations · 29 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CL2023★ 1 cited

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future

Linyi Yang, Yaoxiao Song, Xuan Ren +6

Machine learning (ML) systems in natural language processing (NLP) face significant challenges in generalizing to out-of-distribution (OOD) data, where the test distribution differ…

cs.CL2022

Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis

Chenyang Lyu, Linyi Yang, Yue Zhang +2

User and product information associated with a review is useful for sentiment polarity prediction. Typical approaches incorporating such information focus on modeling users and pro…

cs.CL2021

Revisiting Tri-training of Dependency Parsers

Joachim Wagner, Jennifer Foster

We compare two orthogonal semi-supervised learning techniques, namely tri-training and pretrained word embeddings, in the task of dependency parsing. We explore language-specific F…

cs.CL2021

Improving Unsupervised Question Answering via Summarization-Informed Question Generation

Chenyang Lyu, Lifeng Shang, Yvette Graham +3

Question Generation (QG) is the task of generating a plausible question for a given <passage, answer> pair. Template-based QG uses linguistically-informed heuristics to transform d…

cs.CL2021

gaBERT -- an Irish Language Model

James Barry, Joachim Wagner, Lauren Cassidy +5

The BERT family of neural language models have become highly popular due to their ability to provide sequences of text with rich context-sensitive token encodings which are able to…

cs.CL2019

Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A Faroese Case Study

James Barry, Joachim Wagner, Jennifer Foster

Cross-lingual dependency parsing involves transferring syntactic knowledge from one language to another. It is a crucial component for inducing dependency parsers in low-resource s…

cs.CL2019★ 1 cited

Designing a Symbolic Intermediate Representation for Neural Surface Realization

Henry Elder, Jennifer Foster, James Barry +1

Generated output from neural NLG systems often contain errors such as hallucination, repetition or contradiction. This work focuses on designing a symbolic intermediate representat…