Paper-Conference

Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation
A challenge in the Dialogue State Tracking (DST) field is adapting models to new domains without using any supervised data — …
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Songs Across Borders: Singable and Controllable Neural Lyric Translation
The development of general-domain neural machine translation (NMT) methods has advanced significantly in recent years, but the lack of …
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TraVLR: Now You See It, Now You Don′t! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning
Numerous visio-linguistic (V+L) representation learning methods have been developed, yet existing datasets do not adequately evaluate …
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UDAPTER - Efficient Domain Adaptation Using Adapters
We propose two methods to make unsupervised domain adaptation (UDA) more parameter efficient using adapters – small bottleneck …
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Understanding Ethics in NLP Authoring and Reviewing
With NLP research now quickly being transferred into real-world applications, it is important to be aware of and think through the …
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MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences
Existing multimodal tasks mostly target at the complete input modality setting, i.e., each modality is either complete or completely …
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Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge
In this paper, we study the problem of knowledge-intensive text-to-SQL, in which domain knowledge is necessary to parse expert …
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CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations
Knowledge-grounded dialog systems need to incorporate smooth transitions among knowledge selected for generating responses, to ensure …
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Lightweight Contextual Logical Structure Recovery
Logical structure recovery in scientific articles associates text with a semantic section of the article. Although previous work has …
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Comparative Snippet Generation
We model products′ reviews to generate comparative responses consisting of positive and negative experiences regarding the product. …
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