Search Results for author:
Found 16 papers, 7 papers with code
appjsonify: An Academic Paper PDF-to-JSON Conversion Toolkit
We present appjsonify, a Python-based PDF-to-JSON conversion toolkit for academic papers.
Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic
We rethink this and adopt a well-grounded set of deduction rules based on formal logic theory, which can derive any other deduction rules when combined in a multistep way.
Rethinking Fano's Inequality in Ensemble Learning
We propose a fundamental theory on ensemble learning that answers the central question: what factors make an ensemble system good or bad?
LARCH: Large Language Model-based Automatic Readme Creation with Heuristics
Writing a readme is a crucial aspect of software development as it plays a vital role in managing and reusing program code.
How do different tokenizers perform on downstream tasks in scriptio continua languages?: A case study in Japanese
This paper investigates the effect of tokenizers on the downstream performance of pretrained language models (PLMs) in scriptio continua languages where no explicit spaces exist between words, using Japanese as a case study.
Controlling keywords and their positions in text generation
In this paper, we tackle a novel task of controlling not only keywords but also the position of each keyword in the text generation.
How does the task complexity of masked pretraining objectives affect downstream performance?
Masked language modeling (MLM) is a widely used self-supervised pretraining objective, where a model needs to predict an original token that is replaced with a mask given contexts.
Hitachi at MRP 2019: Unified Encoder-to-Biaffine Network for Cross-Framework Meaning Representation Parsing
This paper describes the proposed system of the Hitachi team for the Cross-Framework Meaning Representation Parsing (MRP 2019) shared task.
Towards Better Non-Tree Argument Mining: Proposition-Level Biaffine Parsing with Task-Specific Parameterization
Our proposed model incorporates (i) task-specific parameterization (TSP) that effectively encodes a sequence of propositions and (ii) a proposition-level biaffine attention (PLBA) that can predict a non-tree argument consisting of edges.
Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing
This paper describes the first report on cross-lingual transfer for semantic dependency parsing.
Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity
Due to the unsupervised nature of the task, we concentrated on inquiring about the similarity measures induced by different layers of different pre-trained Transformer-based language models, which can be good approximations of the human sense of word similarity.
Hitachi at SemEval-2020 Task 7: Stacking at Scale with Heterogeneous Language Models for Humor Recognition
Our experimental results show that SaS outperforms a naive average ensemble, leveraging weaker PLMs as well as high-performing PLMs.
Hitachi at SemEval-2020 Task 8: Simple but Effective Modality Ensemble for Meme Emotion Recognition
Users of social networking services often share their emotions via multi-modal content, usually images paired with text embedded in them.
Hitachi at SemEval-2020 Task 10: Emphasis Distribution Fusion on Fine-Tuned Language Models
This paper shows our system for SemEval-2020 task 10, Emphasis Selection for Written Text in Visual Media.
Hitachi at SemEval-2020 Task 11: An Empirical Study of Pre-Trained Transformer Family for Propaganda Detection
In this paper, we show our system for SemEval-2020 task 11, where we tackle propaganda span identification (SI) and technique classification (TC).
Hitachi at MRP 2020: Text-to-Graph-Notation Transducer
This paper presents our proposed parser for the shared task on Meaning Representation Parsing (MRP 2020) at CoNLL, where participant systems were required to parse five types of graphs in different languages.
