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06/02/2023
Unsupervised Paraphrasing of Multiword Expressions
We propose an unsupervised approach to paraphrasing multiword expression...
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03/10/2023
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation?
During the patient's hospitalization, the physician must record daily ob...
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12/06/2022
Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement Learning
Discriminativeness is a desirable feature of image captions: captions sh...
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09/20/2022
Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan
Automated summarization of clinical texts can reduce the burden of medic...
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09/17/2022
Unsupervised Lexical Substitution with Decontextualised Embeddings
We propose a new unsupervised method for lexical substitution using pre-...
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04/28/2021
Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning
Unsupervised image captioning is a challenging task that aims at generat...
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10/27/2020
Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora
We propose a new approach for learning contextualised cross-lingual word...
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10/02/2020
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Entity representations are useful in natural language tasks involving en...
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01/21/2020
Length-controllable Abstractive Summarization by Guiding with Summary Prototype
We propose a new length-controllable abstractive summarization model. Re...
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08/31/2019
Gated Graph Recursive Neural Networks for Molecular Property Prediction
Molecule property prediction is a fundamental problem for computer-aided...
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08/15/2019
Improving Multi-Word Entity Recognition for Biomedical Texts
Biomedical Named Entity Recognition (BioNER) is a crucial step for analy...
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11/10/2018
Playing by the Book: Towards Agent-based Narrative Understanding through Role-playing and Simulation
Understanding procedural text requires tracking entities, actions and ef...
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10/18/2018
Reduction of Parameter Redundancy in Biaffine Classifiers with Symmetric and Circulant Weight Matrices
Currently, the biaffine classifier has been attracting attention as a me...
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10/04/2018
A Span Selection Model for Semantic Role Labeling
We present a simple and accurate span-based model for semantic role labe...
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06/11/2018
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs
This paper proposes an inexpensive way to learn an effective dissimilari...
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05/08/2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Following great success in the image processing field, the idea of adver...
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06/18/2017
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
Knowledge base completion (KBC) aims to predict missing information in a...
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04/23/2017
A* CCG Parsing with a Supertag and Dependency Factored Model
We propose a new A* CCG parsing model in which the probability of a tree...
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04/22/2016
Dependency Parsing with LSTMs: An Empirical Evaluation
We propose a transition-based dependency parser using Recurrent Neural N...
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07/03/2015
Ridge Regression, Hubness, and Zero-Shot Learning
This paper discusses the effect of hubness in zero-shot learning, when r...
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03/06/2013
Japanese-Spanish Thesaurus Construction Using English as a Pivot
We present the results of research with the goal of automatically creati...
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11/19/2012