Search Results for author:
Found 8 papers, 0 papers with code
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task
This paper presents our system submitted for the CoNLL 2017 Shared Task, {``}Multilingual Parsing from Raw Text to Universal Dependencies.
A neural parser as a direct classifier for head-final languages
This paper demonstrates a neural parser implementation suitable for consistently head-final languages such as Japanese.
Image Position Prediction in Multimodal Documents
Datasets for these tasks contain a large number of pairs of an image and the corresponding sentence as an instance.
Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment
We propose a new word representation method derived from visual objects in associated images to tackle the lexical entailment task.
Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems
However, existing works only transfer a single representation of LLM (e. g. the last layer of pretrained BERT), while the representation of a text is inherently non-unique and can be obtained variously from different layers, contexts and models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression
To remedy this shortcoming, we present a dependency-tree-based method to construct a Chinese corpus with 151k pairs of sentences and compression based on Chinese language-specific characteristics.
