Sub-word segmentation is an essential pre-processing step for Neural Mac...
Large language models (LLMs) have achieved impressive performance on var...
The language-independency of encoded representations within multilingual...
This paper studies the impact of layer normalization (LayerNorm) on zero...
We present a new task, speech dialogue translation mediating speakers of...
Dialogue segmentation is a crucial task for dialogue systems allowing a
...
Numerical reasoning over table-and-text hybrid passages, such as financi...
In spite of the potential for ground-breaking achievements offered by la...
Solving math word problems is the task that analyses the relation of
qua...
Relation extraction (RE) has achieved remarkable progress with the help ...
Previous studies have introduced a weakly-supervised paradigm for solvin...
To solve Math Word Problems, human students leverage diverse reasoning l...
Massively multilingual sentence representation models, e.g., LASER,
SBER...
Contrastive pre-training on distant supervision has shown remarkable
eff...
Word alignment has proven to benefit many-to-many neural machine transla...
Low resource speech recognition has been long-suffering from insufficien...
In the present study, we propose novel sequence-to-sequence pre-training...
Existing multimodal machine translation (MMT) datasets consist of images...
Meta learning with auxiliary languages has demonstrated promising
improv...
We present an open-access natural language processing toolkit for Japane...
Large-scale models for learning fixed-dimensional cross-lingual sentence...
With advances in neural language models, the focus of linguistic
stegano...
Intelligent dialogue systems are expected as a new interface between hum...
Automatically solving math word problems is a critical task in the field...
Joint entity and relation extraction aims to extract relation triplets f...
The global pandemic of COVID-19 has made the public pay close attention ...
Neural machine translation (NMT) needs large parallel corpora for
state-...
Sequence-to-sequence (S2S) pre-training using large monolingual data is ...
Lectures translation is a case of spoken language translation and there ...
In this paper, we propose a two-layered multi-task attention based neura...
Texts like news, encyclopedias, and some social media strive for objecti...
Recognizing affective events that trigger positive or negative sentiment...
Frequently Asked Question (FAQ) retrieval is an important task where the...
We propose a novel two-layered attention network based on Bidirectional ...
Multilinguality is gradually becoming ubiquitous in the sense that more ...
In this paper, we propose a novel and elegant solution to "Multi-Source
...
In this paper, we propose a novel domain adaptation method named "mixed ...
This paper introduces a novel neural network model for question answerin...
As alignment links are not given between English sentences and Abstract
...