27 citations · 29 across the 10 of their papers we have counts for
11 papers
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…
Is a Video worth Images? A Highly Efficient Approach to Transformer-based Video Question Answering
Chenyang Lyu, Tianbo Ji, Yvette Graham +1
Conventional Transformer-based Video Question Answering (VideoQA) approaches generally encode frames independently through one or more image encoders followed by interaction betwee…
Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering
Chenyang Lyu, Tianbo Ji, Yvette Graham +1
Event-Level Video Question Answering (EVQA) requires complex reasoning across video events to obtain the visual information needed to provide optimal answers. However, despite sign…
Dialogue-to-Video Retrieval
Chenyang Lyu, Manh-Duy Nguyen, Van-Tu Ninh +3
Recent years have witnessed an increasing amount of dialogue/conversation on the web especially on social media. That inspires the development of dialogue-based retrieval, in which…
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…
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…
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…
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…
Fact or Factitious? Contextualized Opinion Spam Detection
Stefan Kennedy, Niall Walsh, Kirils Sloka +2
In this paper we perform an analytic comparison of a number of techniques used to detect fake and deceptive online reviews. We apply a number machine learning approaches found to b…
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…
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…