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Found 28 papers, 8 papers with code
DialDoc 2021 Shared Task: Goal-Oriented Document-grounded Dialogue Modeling
We present the results of Shared Task at Workshop DialDoc 2021 that is focused on document-grounded dialogue and conversational question answering.
DialDoc 2022 Shared Task: Open-Book Document-grounded Dialogue Modeling
The paper presents the results of the Shared Task hosted by the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering co-located at ACL 2022.
DFEE: Interactive DataFlow Execution and Evaluation Kit
DataFlow has been emerging as a new paradigm for building task-oriented chatbots due to its expressive semantic representations of the dialogue tasks.
SBbadger: Biochemical Reaction Networks with Definable Degree Distributions
Motivation: An essential step in developing computational tools for the inference, optimization, and simulation of biochemical reaction networks is gauging tool performance against earlier efforts using an appropriate set of benchmarks.
DG2: Data Augmentation Through Document Grounded Dialogue Generation
Collecting data for training dialog systems can be extremely expensive due to the involvement of human participants and need for extensive annotation.
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents
We propose MultiDoc2Dial, a new task and dataset on modeling goal-oriented dialogues grounded in multiple documents.
Dynamics and Sensitivity of Signaling Pathways
Signaling pathways serve to communicate information about extracellular conditions into the cell, to both the nucleus and cytoplasmic processes to control cell responses.
Does Structure Matter? Encoding Documents for Machine Reading Comprehension
Machine reading comprehension is a challenging task especially for querying documents with deep and interconnected contexts.
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
Most existing methods generate post-hoc explanations for neural network models by identifying individual feature attributions or detecting interactions between adjacent features.
doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset
We introduce doc2dial, a new dataset of goal-oriented dialogues that are grounded in the associated documents.
Hypergraph Models of Biological Networks to Identify Genes Critical to Pathogenic Viral Response
Results: We compiled a novel data set of transcriptional host response to pathogenic viral infections and formulated relationships between genes as a hypergraph where hyperedges represent significantly perturbed genes, and vertices represent individual biological samples with specific experimental conditions.
Learning Lane Graph Representations for Motion Forecasting
We propose a motion forecasting model that exploits a novel structured map representation as well as actor-map interactions.
Implicit Discourse Relation Classification: We Need to Talk about Evaluation
Implicit relation classification on Penn Discourse TreeBank (PDTB) 2. 0 is a common benchmark task for evaluating the understanding of discourse relations.
MultiXNet: Multiclass Multistage Multimodal Motion Prediction
One of the critical pieces of the self-driving puzzle is understanding the surroundings of a self-driving vehicle (SDV) and predicting how these surroundings will change in the near future.
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries
We show that using multiple rounds of natural language queries as input can be surprisingly effective to find arbitrarily specific images of complex scenes.
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Particularly difficult is the prediction of human behavior.
Doc2Dial: a Framework for Dialogue Composition Grounded in Business Documents
We introduce Doc2Dial, an end-to-end framework for generating conversational data grounded in business documents via crowdsourcing.
Chat-crowd: A Dialog-based Platform for Visual Layout Composition
In this paper we introduce Chat-crowd, an interactive environment for visual layout composition via conversational interactions.
Text2Scene: Generating Compositional Scenes from Textual Descriptions
In this paper, we propose Text2Scene, a model that generates various forms of compositional scene representations from natural language descriptions.
A Subpixel Registration Algorithm for Low PSNR Images
This paper presents a fast algorithm for obtaining high-accuracy subpixel translation of low PSNR images.
A Unified Implicit Dialog Framework for Conversational Search
We propose a unified Implicit Dialog framework for goal-oriented, information seeking tasks of Conversational Search applications.
