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- University of Illinois ChicagoUS7 papers
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21 papers · 1 filter
Cascaded Fast and Slow Models for Efficient Semantic Code Search
Akhilesh Deepak Gotmare, Junnan Li, Shafiq Joty +1
The goal of natural language semantic code search is to retrieve a semantically relevant code snippet from a fixed set of candidates using a natural language query. Existing approa…
Multimodal Conditionality for Natural Language Generation
Michael Sollami, Aashish Jain
Large scale pretrained language models have demonstrated state-of-the-art performance in language understanding tasks. Their application has recently expanded into multimodality le…
Multi-Pair Text Style Transfer on Unbalanced Data
Xing Han, Jessica Lundin
Text-style transfer aims to convert text given in one domain into another by paraphrasing the sentence or substituting the keywords without altering the content. By necessity, stat…
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference
Wenpeng Yin, Dragomir Radev, Caiming Xiong
Natural language inference (NLI) is formulated as a unified framework for solving various NLP problems such as relation extraction, question answering, summarization, etc. It has b…
Controllable Abstractive Dialogue Summarization with Sketch Supervision
Chien-Sheng Wu, Linqing Liu, Wenhao Liu +2
In this paper, we aim to improve abstractive dialogue summarization quality and, at the same time, enable granularity control. Our model has two primary components and stages: 1) a…
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning
Amrita Saha, Shafiq Joty, Steven C. H. Hoi
Neural Module Networks (NMNs) have been quite successful in incorporating explicit reasoning as learnable modules in various question answering tasks, including the most generic fo…