Search Results for author:
Found 8 papers, 2 papers with code
RNSum: A Large-Scale Dataset for Automatic Release Note Generation via Commit Logs Summarization
A release note is a technical document that describes the latest changes to a software product and is crucial in open source software development.
A Visually-grounded First-person Dialogue Dataset with Verbal and Non-verbal Responses
The results demonstrate that first-person vision helps neural network models correctly understand human intentions, and the production of non-verbal responses is a challenging task like that of verbal responses.
Neural Networks in a Product of Hyperbolic Spaces
Therefore, we propose a novel method to extend a given HNN in a single space to a product of hyperbolic spaces.
Unsupervised Discourse Constituency Parsing Using Viterbi EM
In this paper, we introduce an unsupervised discourse constituency parsing algorithm.
Coherence Modeling Improves Implicit Discourse Relation Recognition
The research described in this paper examines how to learn linguistic knowledge associated with discourse relations from unlabeled corpora.
Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations
The research question we explore in this study is how to obtain syntactically plausible word representations without using human annotations.
Generating Video Description using Sequence-to-sequence Model with Temporal Attention
Automatic video description generation has recently been getting attention after rapid advancement in image caption generation.
Zero-resource Machine Translation by Multimodal Encoder-decoder Network with Multimedia Pivot
We propose an approach to build a neural machine translation system with no supervised resources (i. e., no parallel corpora) using multimodal embedded representation over texts and images.
