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Found 35 papers, 2 papers with code
NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021
In this paper, we use a lexically-constrained neural machine translation (NMT), which concatenates the source sentence and constrained words with a special token to input them into the encoder of NMT.
Annotation Study of Japanese Judgments on Tort for Legal Judgment Prediction with Rationales
Moreover, the scheme can capture the explicit causal relation between judge’s decisions and their corresponding rationales, allowing multiple decisions in a document.
Parsing Argumentative Structure in English-as-Foreign-Language Essays
Two sentence encoders are employed, and we observed that non-fine-tuning models generally performed better when using Sentence-BERT as opposed to BERT encoder.
Automating Idea Unit Segmentation and Alignment for Assessing Reading Comprehension via Summary Protocol Analysis
The algorithm was tested over the L2WS 2021 corpus.
Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction
This paper presents the first dataset for Japanese Legal Judgment Prediction (LJP), the Japanese Tort-case Dataset (JTD), which features two tasks: tort prediction and its rationale extraction.
Multi-Task and Multi-Corpora Training Strategies to Enhance Argumentative Sentence Linking Performance
Argumentative structure prediction aims to establish links between textual units and label the relationship between them, forming a structured representation for a given input text.
Effective Use of Target-side Context for Neural Machine Translation
The first problem is the quality of parallel corpora.
Content-Equivalent Translated Parallel News Corpus and Extension of Domain Adaptation for NMT
The first problem is the quality of parallel corpora.
Gamification Platform for Collecting Task-oriented Dialogue Data
Our platform enables data collectors to create their original video game in which they can collect dialogue data of various types of tasks by using the logging function of the platform.
TIARA: A Tool for Annotating Discourse Relations and Sentence Reordering
A separate tree view allows them to review their analysis in terms of the overall discourse structure.
Neural Machine Translation System using a Content-equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019
The content-equivalent corpus was effective for improving translation quality, and our systems achieved the best human evaluation scores in the newswire translation tasks at WAT 2019.
Supporting content evaluation of student summaries by Idea Unit embedding
We im-plemented the proposed method in a GUI tool{``}Segment Matcher{''} that aids teachers to estab-lish a link between corresponding IUs acrossthe summary and source text.
Interpretation of Implicit Conditions in Database Search Dialogues
We implemented two models for this task: an SVM-based model and an RCNN-based model.
Key-value Attention Mechanism for Neural Machine Translation
In this paper, we propose a neural machine translation (NMT) with a key-value attention mechanism on the source-side encoder.
An Eye-tracking Study of Named Entity Annotation
Utilising effective features in machine learning-based natural language processing (NLP) is crucial in achieving good performance for a given NLP task.
Annotation of argument structure in Japanese legal documents
In particular, we utilize the hierarchical argument structure of the judgment documents.
Evaluation of Automatically Generated Pronoun Reference Questions
This study provides a detailed analysis of evaluation of English pronoun reference questions which are created automatically by machine.
Evaluating text coherence based on semantic similarity graph
Coherence is a crucial feature of text because it is indispensable for conveying its communication purpose and meaning to its readers.
Parameter estimation of Japanese predicate argument structure analysis model using eye gaze information
In this paper, we propose utilising eye gaze information for estimating parameters of a Japanese predicate argument structure (PAS) analysis model.
An extension of ISO-Space for annotating object direction
In this paper, we extend an existing annotation scheme ISO-Space for annotating necessary spatial information for the task placing an specified object at a specified location with a specified direction according to a natural language instruction.
Solving the AL Chicken-and-Egg Corpus and Model Problem: Model-free Active Learning for Phenomena-driven Corpus Construction
Active learning (AL) is often used in corpus construction (CC) for selecting {``}informative{''} documents for annotation.
Building a Corpus of Manually Revised Texts from Discourse Perspective
This paper presents building a corpus of manually revised texts which includes both before and after-revision information.
The REX corpora: A collection of multimodal corpora of referring expressions in collaborative problem solving dialogues
In this respect, we succeeded in constructing a collection of corpora that included a variety of characteristics by changing the configurations for each set of dialogues, as originally planned.
Effects of Document Clustering in Modeling Wikipedia-style Term Descriptions
Because viewpoints required for explanation are different depending on the type of a term, such as animal and disease, we model articles in Wikipedia to extract a viewpoint structure for each term type.
