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Found 74 papers, 14 papers with code
Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes
We propose a methodology for representing the reasoning structure of arguments using Bayesian networks and predicate logic facilitated by argumentation schemes.
Leveraging Partial Dependency Trees to Control Image Captions
Controlling the generation of image captions attracts lots of attention recently.
Market Comment Generation from Data with Noisy Alignments
On top of this, we employ a copy mechanism that is suitable for referring to the content of data records in the market price data.
Towards Grounding of Formulae
Our results indicate that it is worthwhile to grow the techniques for the proposed task to contribute to the further progress of mathematical language processing.
Generating Racing Game Commentary from Vision, Language, and Structured Data
In this study, we introduce a new large-scale dataset that contains aligned video data, structured numerical data, and transcribed commentaries that consist of 129, 226 utterances in 1, 389 races in a game.
An empirical analysis of existing systems and datasets toward general simple question answering
Our analysis, including shifting of training and test datasets and training on a union of the datasets, suggests that our progress in solving SimpleQuestions dataset does not indicate the success of more general simple question answering.
Learning with Contrastive Examples for Data-to-Text Generation
Existing models for data-to-text tasks generate fluent but sometimes incorrect sentences e. g., {``}Nikkei gains{''} is generated when {``}Nikkei drops{''} is expected.
Predicting Event Time by Classifying Sub-Level Temporal Relations Induced from a Unified Representation of Time Anchors
Another contribution of this work is to construct a larger event time corpus (256 news documents) with a reasonable Inter-Annotator Agreement (IAA), for the purpose of overcoming the data shortage of the existing event time corpus (36 news documents).
A System for Worldwide COVID-19 Information Aggregation
The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education.
Utterance-Unit Annotation for the JSL Dialogue Corpus: Toward a Multimodal Approach to Corpus Linguistics
This paper describes a method for annotating the Japanese Sign Language (JSL) dialogue corpus.
Analyzing Word Embedding Through Structural Equation Modeling
Many researchers have tried to predict the accuracies of extrinsic evaluation by using intrinsic evaluation to evaluate word embedding.
Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency Parser
In this paper, we compare four state-of-the-art neural network dependency parsers for the Semitic language Amharic.
Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels
We propose a data-to-document generator that can easily control the contents of output texts based on a neural language model.
Learning to Select, Track, and Generate for Data-to-Text
We propose a data-to-text generation model with two modules, one for tracking and the other for text generation.
Does My Rebuttal Matter? Insights from a Major NLP Conference
We then focus on the role of the rebuttal phase, and propose a novel task to predict after-rebuttal (i. e., final) scores from initial reviews and author responses.
Coordinate Structures in Universal Dependencies for Head-final Languages
This paper discusses the representation of coordinate structures in the Universal Dependencies framework for two head-final languages, Japanese and Korean.
Generating Market Comments Referring to External Resources
Comments on a stock market often include the reason or cause of changes in stock prices, such as {``}Nikkei turns lower as yen{'}s rise hits exporters.
An Empirical Investigation of Error Types in Vietnamese Parsing
Syntactic parsing plays a crucial role in improving the quality of natural language processing tasks.
Inducing Temporal Relations from Time Anchor Annotation
Conventional annotation of judging temporal relations puts a heavy load on annotators.
Consensus-based Sequence Training for Video Captioning
First we show that, by replacing model samples with ground-truth sentences, RL training can be seen as a form of weighted cross-entropy loss, giving a fast, RL-based pre-training algorithm.
Learning to Generate Market Comments from Stock Prices
This paper presents a novel encoder-decoder model for automatically generating market comments from stock prices.
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths
In this work, we borrow a state-of-the-art method in relation extraction by adopting bidirectional long short-term memory (Bi-LSTM) along dependency paths (DP).
On-demand Injection of Lexical Knowledge for Recognising Textual Entailment
We approach the recognition of textual entailment using logical semantic representations and a theorem prover.
Video Event Detection by Exploiting Word Dependencies from Image Captions
We conduct extensive experiments to analyze the effectiveness of using the new dependency representation for event detection on two large-scale TRECVID Multimedia Event Detection 2013 and 2014 datasets.
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.
Towards Comparability of Linguistic Graph Banks for Semantic Parsing
We announce a new language resource for research on semantic parsing, a large, carefully curated collection of semantic dependency graphs representing multiple linguistic traditions.
Typed Entity and Relation Annotation on Computer Science Papers
In our scheme, mentions of entities are annotated with ontology-based types, and the roles of the entities are annotated as relations with other entities described in the text.
Universal Dependencies for Japanese
We present an attempt to port the international syntactic annotation scheme, Universal Dependencies, to the Japanese language in this paper.
Challenges and Solutions for Consistent Annotation of Vietnamese Treebank
However, the quality of this treebank is not satisfactory and is a possible source for the low performance of Vietnamese language processing.
Overview of Todai Robot Project and Evaluation Framework of its NLP-based Problem Solving
We introduce the organization of the Todai Robot Project and discuss its achievements.
Annotation of Computer Science Papers for Semantic Relation Extrac-tion
We designed a new annotation scheme for formalising relation structures in research papers, through the investigation of computer science papers.
Building Japanese Predicate-argument Structure Corpus using Lexical Conceptual Structure
In this paper, we report our framework for creating the corpus and the current status of creating an LCS dictionary for Japanese predicates.
Annotating Factive Verbs
These embedded presuppositions provide implicit information about facts assumed to be true in the world, and are thus potentially valuable in areas of research such as textual entailment.