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SCOPUS_ID:85083032551
A Deep-Learning Approach to Optical Character Recognition for Uighur Language
Optical Character Recognition (OCR) for Uighur language is a difficult problem and open research field because of the cursive nature script of the Uighur text, even in the printed text. Except for a few differences and modifications, Uighur characters have possessed the same characteristics of Arabic characters, so the...
[ "Visual Data in NLP", "Information Extraction & Text Mining", "Information Retrieval", "Syntactic Text Processing", "Text Segmentation", "Text Classification", "Multimodality" ]
[ 20, 3, 24, 15, 21, 36, 74 ]
SCOPUS_ID:85107570417
A Deeper Analysis of AOI Coverage in Code Reading
The proportion of areas of interest that are covered with gaze is employed as metric to compare natural-language text and source code reading, as well as novice and expert programmers' code reading behavior. Two levels of abstraction are considered for AOIs: lines and elements. AOI coverage is significantly higher on n...
[ "Programming Languages in NLP", "Multimodality" ]
[ 55, 74 ]
http://arxiv.org/abs/1804.05972v1
A Deeper Look into Dependency-Based Word Embeddings
We investigate the effect of various dependency-based word embeddings on distinguishing between functional and domain similarity, word similarity rankings, and two downstream tasks in English. Variations include word embeddings trained using context windows from Stanford and Universal dependencies at several levels of ...
[ "Semantic Text Processing", "Representation Learning" ]
[ 72, 12 ]
SCOPUS_ID:85149742381
A Definitive Survey of How to Use Unsupervised Text Classifiers
A tremendous number of discussions, reviews, and postings are placed on online communities any day, greatly expanding the global dataset. To learn what consumers think of a particular service or brand, one must now sift thru vast volumes of data. The majority of assessments are written in English, however as electronic...
[ "Low-Resource NLP", "Text Classification", "Responsible & Trustworthy NLP", "Information Retrieval", "Information Extraction & Text Mining" ]
[ 80, 36, 4, 24, 3 ]
https://aclanthology.org//W14-4334/
A Demonstration of Dialogue Processing in SimSensei Kiosk
[ "Natural Language Interfaces", "Dialogue Systems & Conversational Agents" ]
[ 11, 38 ]
https://aclanthology.org//W12-1618/
A Demonstration of Incremental Speech Understanding and Confidence Estimation in a Virtual Human Dialogue System
[ "Natural Language Interfaces", "Multimodality", "Speech & Audio in NLP", "Dialogue Systems & Conversational Agents" ]
[ 11, 74, 70, 38 ]
SCOPUS_ID:0032221562
A Demonstration of Research Methodologies Used in Psycholinguistics
In this article, I describe software that presents classic experiments in psycholinguistics. I use this software for my Research in the Psychology of Language course, but it also has applicability to methods courses or survey courses in psycholinguistics and cognitive psychology. © 1998, SAGE Publications. All rights r...
[ "Psycholinguistics", "Linguistics & Cognitive NLP" ]
[ 77, 48 ]
SCOPUS_ID:84940565682
A Demonstration of the MARKOS License Analyser
The MARKOS license analyser is an innovative application of the latest version of the Carneades argumentation system, for helping software developers to analyse open source license compatibility issues.
[ "Argument Mining", "Reasoning" ]
[ 60, 8 ]
SCOPUS_ID:85130959768
A Denoising Method for Distant Supervised Relation Extraction Based on Deep Clustering
Distant supervision for relation extraction uses an external knowledge base as supervision signals to automatically label corpus and has attracted more and more attention. However, this method has an ideal hypothesis that all instances containing the same entity pairs represent the same relation, which will lead to a l...
[ "Relation Extraction", "Information Extraction & Text Mining", "Text Clustering" ]
[ 75, 3, 29 ]
SCOPUS_ID:85059956979
A Dense Vector Representation for Relation Tuple Similarity
Open Information Extraction (Open IE), which has been extensively studied as a new paradigm on unrestricted information extraction, produces relation tuples (results) which serve as intermediate structures in several natural language processing tasks, one of which is question answering system. In this paper, we investi...
[ "Representation Learning", "Open Information Extraction", "Semantic Text Processing", "Information Extraction & Text Mining" ]
[ 12, 25, 72, 3 ]
http://arxiv.org/abs/2203.13953v1
A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction
Document-level relation extraction (RE) aims to identify relations between two entities in a given document. Compared with its sentence-level counterpart, document-level RE requires complex reasoning. Previous research normally completed reasoning through information propagation on the mention-level or entity-level doc...
[ "Relation Extraction", "Reasoning", "Information Extraction & Text Mining" ]
[ 75, 8, 3 ]
SCOPUS_ID:85096510913
A Densely Connected Encoder Stack Approach for Multi-type Legal Machine Reading Comprehension
Legal machine reading comprehension (MRC) is becoming increasingly important as the number of legal documents rapidly grows. Currently, the main approach of MRC is the deep neural network based model which learns multi-level semantic information with different granularities layer by layer, and it converts the original ...
[ "Language Models", "Semantic Text Processing", "Question Answering", "Natural Language Interfaces", "Reasoning", "Machine Reading Comprehension" ]
[ 52, 72, 27, 11, 8, 37 ]
SCOPUS_ID:85089431107
A Densely Connected Transformer for Machine Translation
Recent work has shown that the network for natural language processing (NLP) task can be deeper as well as more accurate by applying attention mechanism with residual. However, the original features of training data will be lost after multiple operations on deep network. We propose a new model structure, Densely Connec...
[ "Language Models", "Machine Translation", "Semantic Text Processing", "Text Generation", "Multilinguality" ]
[ 52, 51, 72, 47, 0 ]
SCOPUS_ID:85133140038
A Density Based k-Means Initialization Scheme
In this paper we present the results from some versions of a new initialization scheme for the k-Means algorithm. k- Means is probably the most fundamental clustering algorithm, with application in lots of _elds, such as Signal Processing, Image Colour Segmentation as well as Web data management. The initialization pro...
[ "Information Extraction & Text Mining", "Text Clustering" ]
[ 3, 29 ]
SCOPUS_ID:85081619018
A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition
This article describes a density ratio approach to integrating external Language Models (LMs) into end-To-end models for Automatic Speech Recognition (ASR). Applied to a Recurrent Neural Network Transducer (RNN-T) ASR model trained on a given domain, a matched in-domain RNN-LM, and a target domain RNN-LM, the proposed ...
[ "Language Models", "Semantic Text Processing", "Speech & Audio in NLP", "Text Generation", "Speech Recognition", "Multimodality" ]
[ 52, 72, 70, 47, 10, 74 ]
https://aclanthology.org//W11-1009/
A Dependency Based Statistical Translation Model
[ "Machine Translation", "Text Generation", "Multilinguality" ]
[ 51, 47, 0 ]
https://aclanthology.org//W19-3321/
A Dependency Structure Annotation for Modality
This paper presents an annotation scheme for modality that employs a dependency structure. Events and sources (here, conceivers) are represented as nodes and epistemic strength relations characterize the edges. The epistemic strength values are largely based on Saurí and Pustejovsky’s (2009) FactBank, while the depende...
[ "Knowledge Representation", "Semantic Text Processing" ]
[ 18, 72 ]
http://arxiv.org/abs/2004.01951v1
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis
The aspect-based sentiment analysis (ABSA) task remains to be a long-standing challenge, which aims to extract the aspect term and then identify its sentiment orientation.In previous approaches, the explicit syntactic structure of a sentence, which reflects the syntax properties of natural language and hence is intuiti...
[ "Language Models", "Low-Resource NLP", "Semantic Text Processing", "Syntactic Text Processing", "Knowledge Representation", "Aspect-based Sentiment Analysis", "Sentiment Analysis", "Responsible & Trustworthy NLP" ]
[ 52, 80, 72, 15, 18, 23, 78, 4 ]
https://aclanthology.org//2021.depling-1.1/
A Dependency Treebank for Classical Arabic Poetry
[ "Syntactic Parsing", "Syntactic Text Processing" ]
[ 28, 15 ]
https://aclanthology.org//W07-0706/
A Dependency Treelet String Correspondence Model for Statistical Machine Translation
[ "Machine Translation", "Syntactic Text Processing", "Syntactic Parsing", "Text Generation", "Multilinguality" ]
[ 51, 15, 28, 47, 0 ]
http://arxiv.org/abs/1507.04646v1
A Dependency-Based Neural Network for Relation Classification
Previous research on relation classification has verified the effectiveness of using dependency shortest paths or subtrees. In this paper, we further explore how to make full use of the combination of these dependency information. We first propose a new structure, termed augmented dependency path (ADP), which is compos...
[ "Information Retrieval", "Text Classification", "Information Extraction & Text Mining" ]
[ 24, 36, 3 ]
http://arxiv.org/abs/1702.04510v1
A Dependency-Based Neural Reordering Model for Statistical Machine Translation
In machine translation (MT) that involves translating between two languages with significant differences in word order, determining the correct word order of translated words is a major challenge. The dependency parse tree of a source sentence can help to determine the correct word order of the translated words. In thi...
[ "Machine Translation", "Text Generation", "Multilinguality" ]
[ 51, 47, 0 ]
https://aclanthology.org//W89-0246/
A Dependency-Based Parser for Topic and Focus
[ "Syntactic Parsing", "Syntactic Text Processing" ]
[ 28, 15 ]
https://aclanthology.org//W13-2259/
A Dependency-Constrained Hierarchical Model with Moses
[ "Machine Translation", "Text Generation", "Multilinguality" ]
[ 51, 47, 0 ]
SCOPUS_ID:85123416606
A Dependency-Guided Character-Based Slot Filling Model for Chinese Spoken Language Understanding
The joint models for intent detection and slot tagging have taken the state of the art of spoken language understanding (SLU) to a new level. However, the presence of rarely seen or unseen mention degrades the performance of the model. Earlier research showed that sequence labeling task can benefit from the use of depe...
[ "Semantic Text Processing", "Semantic Parsing", "Syntactic Parsing", "Syntactic Text Processing" ]
[ 72, 40, 28, 15 ]
SCOPUS_ID:85083666155
A Depth Study on Suicidal Thoughts in the Online Social Networks
Online Social Network acts as platforms for users to communicate with one another and to share their feeling online. Few category of social media users utilizes the platform towards positing aggressive data. The automatic identification of the aggressive data can be identified by employing data mining algorithm utilizi...
[ "Emotion Analysis", "Sentiment Analysis" ]
[ 61, 78 ]
SCOPUS_ID:77956980144
A Description of Automath and Some Aspects of its Language Theory
This note presents a self-contained introduction into Automath, a formal definition and an overview of the language theory. Thus it can serve as an introduction to the papers [van Benthem Jutting 73] and [Zandleven 73 (E.1)]. Among the various Automath languages this paper concentrates on the original version AUT-68 (b...
[ "Reasoning", "Numerical Reasoning", "Linguistics & Cognitive NLP", "Linguistic Theories" ]
[ 8, 5, 48, 57 ]
SCOPUS_ID:0035599537
A Description of Phonetic, Acoustic, and Physiological Changes Associated with Improved Intelligibility in a Speaker with Spastic Dysarthria
Spastic dysarthria is a motor speech disorder produced by bilateral damage to the direct (pyramidal) and indirect (extrapyramidal) activation pathways of the central nervous system. This case report describes the recovery of an individual with severe spastic dysarthria and illustrates the close relationship between int...
[ "Phonetics", "Speech & Audio in NLP", "Syntactic Text Processing", "Multimodality" ]
[ 64, 70, 15, 74 ]
https://aclanthology.org//W13-2253/
A Description of Tunable Machine Translation Evaluation Systems in WMT13 Metrics Task
[ "Machine Translation", "Text Generation", "Multilinguality" ]
[ 51, 47, 0 ]
SCOPUS_ID:85091298226
A Design Engineering Approach for Quantitatively Exploring Context-Aware Sentence Retrieval for Nonspeaking Individuals with Motor Disabilities
Nonspeaking individuals with motor disabilities typically have very low communication rates. This paper proposes a design engineering approach for quantitatively exploring context-aware sentence retrieval as a promising complementary input interface, working in tandem with a word-prediction keyboard. We motivate the ne...
[ "Information Retrieval" ]
[ 24 ]
SCOPUS_ID:85132147787
A Design for Safety (DFS) Semantic Framework Development Based on Natural Language Processing (NLP) for Automated Compliance Checking Using BIM: The Case of China
For design for safety (DFS), automated compliance checking methods have received extensive attention. Although many research efforts have indicated the potential of BIM and ontology for automated compliance checking, an efficient methodology is still required for the interoperability and semantic representation of data...
[ "Responsible & Trustworthy NLP", "Knowledge Representation", "Semantic Text Processing", "Green & Sustainable NLP" ]
[ 4, 18, 72, 68 ]
SCOPUS_ID:85135748656
A Design of Parallel Content-Defined Chunking System Using Non-Hashing Algorithms on FPGA
Content-defined chunking is a common method in many applications such as data deduplication and data synchronization. In recent years, new CDC algorithms using non-hashing methods have been developed, and positive results have been obtained. However, most of the algorithms are developed for single-thread computation on...
[ "Syntactic Text Processing", "Chunking" ]
[ 15, 43 ]
SCOPUS_ID:0018492539
A Designer/Verifier's Assistant
Since developing and maintaining formally verified programs is an incremental activity, one is not only faced with the problem of constructing specifications, programs, and proofs, but also with the complex problem of determining what previous work remains valid following incremental changes. A system that reasons abou...
[ "Programming Languages in NLP", "Linguistic Theories", "Question Answering", "Natural Language Interfaces", "Linguistics & Cognitive NLP", "Reasoning", "Multimodality" ]
[ 55, 57, 27, 11, 48, 8, 74 ]
SCOPUS_ID:85123322763
A Detailed Review on Text Extraction Using Optical Character Recognition
There exist businesses and applications that involve huge amount of data generated be it in any form to be processed & stored on daily basis. It is an implicit requirement to be able to carry out quick search through this enormous data in order to deal with the high amount of document and data generated. Documents are ...
[ "Visual Data in NLP", "Multimodality", "Information Extraction & Text Mining" ]
[ 20, 74, 3 ]
http://arxiv.org/abs/2001.00842v1
A Deterministic plus Stochastic Model of the Residual Signal for Improved Parametric Speech Synthesis
Speech generated by parametric synthesizers generally suffers from a typical buzziness, similar to what was encountered in old LPC-like vocoders. In order to alleviate this problem, a more suited modeling of the excitation should be adopted. For this, we hereby propose an adaptation of the Deterministic plus Stochastic...
[ "Speech & Audio in NLP", "Multimodality" ]
[ 70, 74 ]
SCOPUS_ID:85119453136
A Development of Multi-Language Interactive Device using Artificial Intelligence Technology for Visual Impairment Person
The issue of lacking reference books in braille in most public building is crucial, especially public places like libraries, museum and others. The visual impairment or blind people is not getting the information like we normal vision do. Therefore, a multi languages reading device for visually impaired is built and de...
[ "Visual Data in NLP", "Machine Translation", "Speech & Audio in NLP", "Multimodality", "Text Generation", "Multilinguality" ]
[ 20, 51, 70, 74, 47, 0 ]
SCOPUS_ID:85043581822
A Development of Participatory Sensing System for Foreign Visitors in PBL
In this project, we design a system to realize user participatory sensing. This system collects, organizes and visualizes data such as problems of foreign visitors in a city, thereby allowing city officials use that information for making decisions on various city policies. Furthermore, foreigners can be supported by t...
[ "Machine Translation", "Text Generation", "Multilinguality" ]
[ 51, 47, 0 ]
SCOPUS_ID:85130005092
A Developmental Approach to Assessing and Treating Agrammatic Aphasia
Purpose: There is mounting evidence that the agrammatism that defines Broca’s aphasia can be explained in processing terms. However, the extant approach simply describes agrammatism as disparate deficits in a static, mature system. This tutorial aims to motivate and outline a developmental alternative. This alternative...
[ "Linguistics & Cognitive NLP", "Linguistic Theories", "Syntactic Text Processing", "Morphology" ]
[ 48, 57, 15, 73 ]
SCOPUS_ID:85146962775
A Device for Automatic Conversion of Speech to Text and Braille for Visually and Hearing Impaired Persons
This paper describes the implementation of a prototype device for individuals dealing with both visual and hearing impairment to communicate. This is carried out with the help of a speech input system and a braille decoder. The input is processed through a machine learning model which recognizes the spoken words, conve...
[ "Visual Data in NLP", "Language Models", "Semantic Text Processing", "Speech & Audio in NLP", "Text Generation", "Speech Recognition", "Multimodality" ]
[ 20, 52, 72, 70, 47, 10, 74 ]
SCOPUS_ID:85137834252
A Diachronic Study of Code-Switching Patterns in the Language of a Third Culture Filipino Kid in Korea
Code-switching has been of immense interest in bilingualism for decades, and most previous studies present different code-switching functions in the language of bilinguals. However, a diachronic exploration of code-switching patterns in young polyglots’ production is a road less ventured. The present study follows the ...
[ "Code-Switching", "Multilinguality" ]
[ 7, 0 ]
SCOPUS_ID:85096908631
A Diachronic Study of Rhythm in Shakespeare Performance
How is the performance of Shakespeare’s texts made special? Does each performance have an independent relationship to the text, or are performances related to each other? This article presents findings from a corpus analysis of recordings spanning eighty-five years from 1930 to 2015. Several factors changed scholarly v...
[ "Speech & Audio in NLP", "Multimodality" ]
[ 70, 74 ]
https://aclanthology.org//W12-5606/
A Diagnostic Evaluation Approach Targeting MT Systems for Indian Languages
[ "Machine Translation", "Text Generation", "Multilinguality" ]
[ 51, 47, 0 ]
http://arxiv.org/abs/2009.13295v1
A Diagnostic Study of Explainability Techniques for Text Classification
Recent developments in machine learning have introduced models that approach human performance at the cost of increased architectural complexity. Efforts to make the rationales behind the models' predictions transparent have inspired an abundance of new explainability techniques. Provided with an already trained model,...
[ "Text Classification", "Explainability & Interpretability in NLP", "Responsible & Trustworthy NLP", "Information Retrieval", "Information Extraction & Text Mining" ]
[ 36, 81, 4, 24, 3 ]
SCOPUS_ID:85125466546
A Dialectic of Race Discourses: The Presence/Absence of Mixed Race at the State, Institution, and Civil Society and Voluntary and Community Sector Levels in the United Kingdom
For the twenty years that mixed race has been on the United Kingdom (UK) censuses, the main story of mixed race in the UK remains one notable for its nominal presence and widespread absence in national discourses on race and ethnicity, racialisation, and racisms. The article explores reasons for this through connecting...
[ "Discourse & Pragmatics", "Semantic Text Processing" ]
[ 71, 72 ]
https://aclanthology.org//W02-0223/
A Dialog Architecture for Military Story Capture
[ "Natural Language Interfaces", "Dialogue Systems & Conversational Agents" ]
[ 11, 38 ]
SCOPUS_ID:85088306648
A Dialog-Based Tutoring System for Project-Based Learning in Information Systems Education
This chapter discusses the design of a dialog-based intelligent tutoring system for the domain of Business Information Systems education. The system is designed to help students work on group projects, maintain their motivation, and provide subtle hints for self-directed discovery. We analyze the domain of Business Inf...
[ "Natural Language Interfaces", "Dialogue Systems & Conversational Agents" ]
[ 11, 38 ]
SCOPUS_ID:85141126551
A Dialogflow-Based Chatbot for Karnataka Tourism
Imagine an invisible robot living within the Internet asking you questions. A Chatbot is a computer software developed to simulate communication with human users over the Internet. A Chatbot is a conversational agent that engages users in natural language interactions. The most basic communication model is a database o...
[ "Natural Language Interfaces", "Dialogue Systems & Conversational Agents" ]
[ 11, 38 ]
https://aclanthology.org//W97-0402/
A Dialogue Analysis Model with Statistical Speech Act Processing for Dialogue Machine Translation
[ "Machine Translation", "Speech & Audio in NLP", "Multimodality", "Natural Language Interfaces", "Text Generation", "Dialogue Systems & Conversational Agents", "Multilinguality" ]
[ 51, 70, 74, 11, 47, 38, 0 ]
SCOPUS_ID:85147258731
A Dialogue System Making Humor by Nori-Tsukkomi
For the formation of friendly relationships between users and dialogue systems, this study develops the related research and proposes the method to generate mishearing words and nori-tsukkomi text considering the context of the user utterances.
[ "Commonsense Reasoning", "Natural Language Interfaces", "Reasoning", "Dialogue Systems & Conversational Agents" ]
[ 62, 11, 8, 38 ]
SCOPUS_ID:85060285430
A Dialogue System Recommending Query Sentences in Consideration of User Interest
We design and develop a dialogue system with collaborative filtering (CF), analyzing user histories to users and weighted information. For users who do not know what to ask, the system recommends query sentences that users should ask, considering user interest. We aim to apply the system to public relation activities o...
[ "Natural Language Interfaces", "Dialogue Systems & Conversational Agents" ]
[ 11, 38 ]
SCOPUS_ID:85140582343
A Dialogue System That Models User Opinions Based on Information Content
When designing rule-based dialogue systems, the need for the creation of an elaborate design by the designer is a challenge. One way to reduce the cost of creating content is to generate utterances from data collected in an objective and reproducible manner. This study focuses on rule-based dialogue systems using surve...
[ "Natural Language Interfaces", "Dialogue Systems & Conversational Agents" ]
[ 11, 38 ]
SCOPUS_ID:85016146810
A Dialogue System for Evaluating Explanations
This chapter presents a theory of explanation by building a dialectical system that has speech act rules that define the kinds of moves allowed, such as putting forward an argument, requesting an explanation and offering an explanation. Pre and post-condition rules for the speech acts determine when a particular speech...
[ "Linguistics & Cognitive NLP", "Linguistic Theories", "Speech & Audio in NLP", "Explainability & Interpretability in NLP", "Multimodality", "Natural Language Interfaces", "Dialogue Systems & Conversational Agents", "Responsible & Trustworthy NLP" ]
[ 48, 57, 70, 81, 74, 11, 38, 4 ]
SCOPUS_ID:85070783379
A Dialogue manager for task-oriented agents based on dialogue building-blocks and generic cognitive processing
This paper introduces a novel dialogue manager, called DAISY, for intelligent virtual agents. The proposed approach is based on two central concepts: (i) dialogue building-blocks, which offer a systematic approach to the representation and implementation of human-agent dialogue, and (ii) cognitive processing in the for...
[ "Natural Language Interfaces", "Dialogue Systems & Conversational Agents" ]
[ 11, 38 ]
SCOPUS_ID:85127733671
A Dialogue-Based Interface for Active Learning of Activities of Daily Living
While Human Activity Recognition (HAR) systems may benefit from Active Learning (AL) by allowing users to self-annotate their Activities of Daily Living (ADLs), many proposed methods for collecting such annotations are for short-term data collection campaigns for specific datasets. We present a reusable dialogue-based ...
[ "Low-Resource NLP", "Semantic Text Processing", "Semantic Similarity", "Natural Language Interfaces", "Dialogue Systems & Conversational Agents", "Responsible & Trustworthy NLP" ]
[ 80, 72, 53, 11, 38, 4 ]
SCOPUS_ID:85109823452
A Dialogue-Based System with Photo and Storytelling for Older Adults: Toward Daily Cognitive Training
As the elderly population grows worldwide, living a healthy and full life as an older adult is becoming a topic of great interest. One key factor and severe challenge to maintaining quality of life in older adults is cognitive decline. Assistive robots for helping older adults have been proposed to solve issues such as...
[ "Natural Language Interfaces", "Question Answering", "Dialogue Systems & Conversational Agents" ]
[ 11, 27, 38 ]
SCOPUS_ID:85099216134
A Dialogue-System Using a Qur'anic Ontology
A dialogue-system is a medium of communication and interaction between humans and computers by exchanging questions and answers in natural languages. The performance of the latter depends on the ability to analyze the question, the good management of keywords to question the knowledge base, and finally the use of an ef...
[ "Natural Language Interfaces", "Knowledge Representation", "Semantic Text Processing", "Dialogue Systems & Conversational Agents" ]
[ 11, 18, 72, 38 ]
http://arxiv.org/abs/2107.05866v1
A Dialogue-based Information Extraction System for Medical Insurance Assessment
In the Chinese medical insurance industry, the assessor's role is essential and requires significant efforts to converse with the claimant. This is a highly professional job that involves many parts, such as identifying personal information, collecting related evidence, and making a final insurance report. Due to the c...
[ "Natural Language Interfaces", "Information Extraction & Text Mining", "Dialogue Systems & Conversational Agents" ]
[ 11, 3, 38 ]
SCOPUS_ID:85102618390
A Differentiable Generative Adversarial Network for Open Domain Dialogue
This work presents a novel methodology to train open domain neural dialogue systems within the framework of Generative Adversarial Networks with gradient based optimization methods. We avoid the non-differentiability related to text-generating networks approximating the word vector corresponding to each generated token...
[ "Semantic Text Processing", "Robustness in NLP", "Representation Learning", "Natural Language Interfaces", "Dialogue Systems & Conversational Agents", "Responsible & Trustworthy NLP" ]
[ 72, 58, 12, 11, 38, 4 ]
SCOPUS_ID:85124745616
A Differentiable Language Model Adversarial Attack on Text Classifiers
Transformer models play a crucial role in state of the art solutions to problems arising in the field of natural language processing (NLP). They have billions of parameters and are typically considered as black boxes. Robustness of huge Transformer-based models for NLP is an important question due to their wide adoptio...
[ "Language Models", "Semantic Text Processing", "Text Classification", "Robustness in NLP", "Responsible & Trustworthy NLP", "Information Retrieval", "Information Extraction & Text Mining" ]
[ 52, 72, 36, 58, 4, 24, 3 ]
SCOPUS_ID:84934652744
A Differential Interactive Analysis of Language Teaching and Learning
Since many basic principles of first language acquisition and environmental input have been clarified by research of the last decade, more differentiated questions are explored in the present study. The overall goal is to analyze language teaching and learning as it transpires during the course of verbal interactions i...
[ "Linguistics & Cognitive NLP", "Linguistic Theories" ]
[ 48, 57 ]
https://aclanthology.org//W03-1104/
A Differential LSI Method for Document Classification
[ "Information Retrieval", "Text Classification", "Information Extraction & Text Mining" ]
[ 24, 36, 3 ]
http://arxiv.org/abs/2002.08241v1
A Differential-form Pullback Programming Language for Higher-order Reverse-mode Automatic Differentiation
Building on the observation that reverse-mode automatic differentiation (AD) -- a generalisation of backpropagation -- can naturally be expressed as pullbacks of differential 1-forms, we design a simple higher-order programming language with a first-class differential operator, and present a reduction strategy which ex...
[ "Programming Languages in NLP", "Multimodality" ]
[ 55, 74 ]
https://aclanthology.org//2020.privatenlp-1.2/
A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric
Balancing the privacy-utility tradeoff is a crucial requirement of many practical machine learning systems that deal with sensitive customer data. A popular approach for privacy- preserving text analysis is noise injection, in which text data is first mapped into a continuous embedding space, perturbed by sampling a sp...
[ "Responsible & Trustworthy NLP", "Semantic Text Processing", "Ethical NLP", "Representation Learning" ]
[ 4, 72, 17, 12 ]
http://arxiv.org/abs/2010.11947v1
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric
Balancing the privacy-utility tradeoff is a crucial requirement of many practical machine learning systems that deal with sensitive customer data. A popular approach for privacy-preserving text analysis is noise injection, in which text data is first mapped into a continuous embedding space, perturbed by sampling a sph...
[ "Responsible & Trustworthy NLP", "Semantic Text Processing", "Ethical NLP", "Representation Learning" ]
[ 4, 72, 17, 12 ]
SCOPUS_ID:85087923606
A Digital Nudge to Counter Confirmation Bias
Fake news is increasingly an issue on social media platforms. In this work, rather than detect misinformation, we propose the use of nudges to help steer internet users into fact checking the news they read online. We discuss two types of nudging strategies, by presentation and by information. We present the tool Balan...
[ "Reasoning", "Fact & Claim Verification", "Ethical NLP", "Responsible & Trustworthy NLP" ]
[ 8, 46, 17, 4 ]
SCOPUS_ID:85131950510
A Digitization Pipeline for Mixed-Typed Documents Using Machine Learning and Optical Character Recognition
Although digitization is advancing rapidly, a large amount of data processed by companies is in printed format. Technologies such as Optical Character Recognition (OCR) support the transformation of printed text into machine-readable content. However, OCR struggles when data on documents is highly unstructured and incl...
[ "Visual Data in NLP", "Multimodality" ]
[ 20, 74 ]
SCOPUS_ID:85095688942
A Direct Regression Scene Text Detector with Position-Sensitive Segmentation
Direct regression methods have demonstrated their success on various multi-oriented benchmarks for scene text detection due to the high recall rate for small targets and the direct regression for text boxes. However, too many false positive candidates and inaccurate position regression still limit the performance of th...
[ "Text Segmentation", "Syntactic Text Processing" ]
[ 21, 15 ]
SCOPUS_ID:84907033074
A Dirichlet multinomial mixture model-based approach for short text clustering
Short text clustering has become an increasingly important task with the popularity of social media like Twitter, Google+, and Facebook. It is a challenging problem due to its sparse, high-dimensional, and large-volume characteristics. In this paper, we proposed a collapsed Gibbs Sampling algorithm for the Dirichlet Mu...
[ "Information Extraction & Text Mining", "Text Clustering" ]
[ 3, 29 ]
SCOPUS_ID:85034569196
A Discourse Analysis Based Approach to Automatic Information Identification in Chinese Legal Texts
Alternative Dispute Resolution (ADR) is increasingly advocated as an alternative to litigation nowadays. Being one of the possible forms of ADR, eMediation aims to inform the parties of their desired information in legal texts relevant to the current case. A fundamental requirement to achieve this is that information i...
[ "Discourse & Pragmatics", "Semantic Text Processing" ]
[ 71, 72 ]
SCOPUS_ID:85129096833
A Discourse Analysis of 40 Years Rural Development in China
Since the reform and opening-up policy of 1978, rural areas in China have experienced significant changes in spatial, social, economic, and environmental development. In this research, we aim to explore the changes in the discourses on rural development over the past 40 years. This can help to understand how problems a...
[ "Discourse & Pragmatics", "Semantic Text Processing" ]
[ 71, 72 ]
SCOPUS_ID:85090440308
A Discourse Analysis of Quotidian Expressions of Nationalism during the COVID-19 Pandemic in Chinese Cyberspace
By conducting discourse analysis on quotidian expressions of nationalism of Chinese netizens and analyzing their “Liking” behavior, this article tries to inductively explore during the COVID-19 pandemic what and how Chinese netizens say about nationalism. This article finds that during the pandemic, Chinese netizens sh...
[ "Discourse & Pragmatics", "Semantic Text Processing" ]
[ 71, 72 ]
SCOPUS_ID:85123503094
A Discourse Analysis of the Conflicting Implications of Terrorism: the Iranian and U.S. Perspectives
There are many approaches in analyzing the prolonged Iran–US impasse. We can taxonomize them into objective and subjective perspectives. We can explain Iran–US tension for realistic and geopolitical reasons. But discourse analysis is a subjective approach that maintains social facts are constructed in a discursive way ...
[ "Semantic Text Processing", "Discourse & Pragmatics", "Explainability & Interpretability in NLP", "Reasoning", "Responsible & Trustworthy NLP" ]
[ 72, 71, 81, 8, 4 ]
SCOPUS_ID:85084644803
A Discourse Analysis of the Istanbul Convention
The author analyzes the case of ratification of the Istanbul Convention in Croatia in 2018. After introductory explanations of the basic theoretical and methodological conditions of the analysis, the first part of the article analyzes the text of the Convention. The second part of the article analyzes its political rec...
[ "Discourse & Pragmatics", "Semantic Text Processing" ]
[ 71, 72 ]
SCOPUS_ID:85082112581
A Discourse Analysis on Betel Nut Chewing in Hunan Province, China
Betel nut chewing has become prevalent in Hunan Province, China. There are different voices over its health risks. In spite of this, the local government has not taken any effective measures to control its expansion. It is necessary to reveal the concern of interests and public health behind such voices. This study use...
[ "Discourse & Pragmatics", "Semantic Text Processing", "Speech & Audio in NLP", "Multimodality" ]
[ 71, 72, 70, 74 ]
SCOPUS_ID:85040344980
A Discourse Analysis: One Caregiver’s Voice in End-of-Life Care
Informal family caregivers make a significant contribution to the U.S. health care system, and the need for caregivers will likely increase. Gaining deeper insights into the caregiver experience will provide essential knowledge needed to support the future caregiver workforce delivering care. Discourse analysis is a vi...
[ "Discourse & Pragmatics", "Semantic Text Processing", "Speech & Audio in NLP", "Multimodality" ]
[ 71, 72, 70, 74 ]
SCOPUS_ID:84930367701
A Discourse Analytic Approach to Video Analysis of Teaching: Aligning Desired Identities With Practice
The authors present findings from a qualitative study of an experience that supports teacher candidates to use discourse analysis and positioning theory to analyze videos of their practice during student teaching. The research relies on the theoretical concept that learning to teach is an identity process. In particula...
[ "Discourse & Pragmatics", "Visual Data in NLP", "Semantic Text Processing", "Multimodality" ]
[ 71, 20, 72, 74 ]
https://aclanthology.org//W07-1428/
A Discourse Commitment-Based Framework for Recognizing Textual Entailment
[ "Reasoning", "Textual Inference" ]
[ 8, 22 ]
SCOPUS_ID:85067383146
A Discourse Construction Grammar Approach to Discourse Analysis: Microblog Parody and Instant Messaging
On the basis of Goldberg's (1995) Construction Grammar (CxG) and Östman's (2005) Construction Discourse perspectives, and by incorporating the theories of genre, register and cohesion from Systemic Functional Grammar, this research attempts to set up a construction grammar framework for discourse analysis, namely the d...
[ "Discourse & Pragmatics", "Semantic Text Processing" ]
[ 71, 72 ]
https://aclanthology.org//W19-2708/
A Discourse Signal Annotation System for RST Trees
This paper presents a new system for open-ended discourse relation signal annotation in the framework of Rhetorical Structure Theory (RST), implemented on top of an online tool for RST annotation. We discuss existing projects annotating textual signals of discourse relations, which have so far not allowed simultaneousl...
[ "Discourse & Pragmatics", "Semantic Text Processing" ]
[ 71, 72 ]
SCOPUS_ID:84992426206
A Discourse on Discourse Studies
Discourse analysis can be said to have evolved out of the desire linguists had to move beyond the sentence and be able to analyze all kinds of texts, from conversations to advertisements and texts with written or spoken language, images, video and music. As it evolved, some ideologically centered discourse analysts dev...
[ "Discourse & Pragmatics", "Semantic Text Processing", "Multimodality" ]
[ 71, 72, 74 ]
http://arxiv.org/abs/1804.05685v2
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Neural abstractive summarization models have led to promising results in summarizing relatively short documents. We propose the first model for abstractive summarization of single, longer-form documents (e.g., research papers). Our approach consists of a new hierarchical encoder that models the discourse structure of a...
[ "Summarization", "Text Generation", "Information Extraction & Text Mining" ]
[ 30, 47, 3 ]
https://aclanthology.org//W10-4202/
A Discourse-Aware Graph-Based Content-Selection Framework
[ "Structured Data in NLP", "Text Generation", "Multimodality" ]
[ 50, 47, 74 ]
http://arxiv.org/abs/1711.07010v5
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text
Named Entity Recognition and Relation Extraction for Chinese literature text is regarded as the highly difficult problem, partially because of the lack of tagging sets. In this paper, we build a discourse-level dataset from hundreds of Chinese literature articles for improving this task. To build a high quality dataset...
[ "Relation Extraction", "Syntactic Text Processing", "Named Entity Recognition", "Tagging", "Information Extraction & Text Mining" ]
[ 75, 15, 34, 63, 3 ]
http://arxiv.org/abs/0911.1516v2
A Discourse-based Approach in Text-based Machine Translation
This paper presents a theoretical research based approach to ellipsis resolution in machine translation. The formula of discourse is applied in order to resolve ellipses. The validity of the discourse formula is analyzed by applying it to the real world text, i.e., newspaper fragments. The source text is converted into...
[ "Machine Translation", "Text Generation", "Multilinguality" ]
[ 51, 47, 0 ]
http://arxiv.org/abs/1911.09845v1
A Discrete CVAE for Response Generation on Short-Text Conversation
Neural conversation models such as encoder-decoder models are easy to generate bland and generic responses. Some researchers propose to use the conditional variational autoencoder(CVAE) which maximizes the lower bound on the conditional log-likelihood on a continuous latent variable. With different sampled la-tent vari...
[ "Language Models", "Semantic Text Processing", "Dialogue Response Generation", "Natural Language Interfaces", "Text Generation", "Dialogue Systems & Conversational Agents" ]
[ 52, 72, 14, 11, 47, 38 ]
http://arxiv.org/abs/1909.04849v1
A Discrete Hard EM Approach for Weakly Supervised Question Answering
Many question answering (QA) tasks only provide weak supervision for how the answer should be computed. For example, TriviaQA answers are entities that can be mentioned multiple times in supporting documents, while DROP answers can be computed by deriving many different equations from numbers in the reference text. In ...
[ "Low-Resource NLP", "Natural Language Interfaces", "Question Answering", "Responsible & Trustworthy NLP" ]
[ 80, 11, 27, 4 ]
SCOPUS_ID:85073933302
A Discriminative Approach to Sentiment Classification
Due to the explosive growth of user-generated contents, understanding opinions (such as reviews on products) generated by Internet users is important for optimizing business decision. To achieve such understanding, this paper investigates a discriminative approach to classifying opinions according to sentiments. The di...
[ "Information Extraction & Text Mining", "Information Retrieval", "Text Classification", "Sentiment Analysis" ]
[ 3, 24, 36, 78 ]
SCOPUS_ID:85091022316
A Discriminative Convolutional Neural Network with Context-Aware Attention
Feature representation and feature extraction are two crucial procedures in text mining. Convolutional Neural Networks (CNN) have shown overwhelming success for text-mining tasks, since they are capable of efficiently extracting n-gram features from source data. However, vanilla CNN has its own weaknesses on feature re...
[ "Information Extraction & Text Mining" ]
[ 3 ]
SCOPUS_ID:85127443323
A Discriminative Deep Neural Network for Text Classification
Text classification plays an important role in natural language processing. It has been widely applied to sentiment analysis, stance detection and fake news detection. Although previous work on text classification has made great progress in recent years, these methods do not consider discriminative. And the ignoration ...
[ "Information Retrieval", "Text Classification", "Information Extraction & Text Mining" ]
[ 24, 36, 3 ]
http://arxiv.org/abs/2106.11292v1
A Discriminative Entity-Aware Language Model for Virtual Assistants
High-quality automatic speech recognition (ASR) is essential for virtual assistants (VAs) to work well. However, ASR often performs poorly on VA requests containing named entities. In this work, we start from the observation that many ASR errors on named entities are inconsistent with real-world knowledge. We extend pr...
[ "Language Models", "Semantic Text Processing", "Speech & Audio in NLP", "Text Generation", "Speech Recognition", "Multimodality" ]
[ 52, 72, 70, 47, 10, 74 ]
http://arxiv.org/abs/1808.09334v2
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
We introduce a novel discriminative latent-variable model for the task of bilingual lexicon induction. Our model combines the bipartite matching dictionary prior of Haghighi et al. (2008) with a state-of-the-art embedding-based approach. To train the model, we derive an efficient Viterbi EM algorithm. We provide empiri...
[ "Machine Translation", "Text Generation", "Multilinguality" ]
[ 51, 47, 0 ]
http://arxiv.org/abs/1909.00444v1
A Discriminative Neural Model for Cross-Lingual Word Alignment
We introduce a novel discriminative word alignment model, which we integrate into a Transformer-based machine translation model. In experiments based on a small number of labeled examples (~1.7K-5K sentences) we evaluate its performance intrinsically on both English-Chinese and English-Arabic alignment, where we achiev...
[ "Cross-Lingual Transfer", "Multilinguality" ]
[ 19, 0 ]
SCOPUS_ID:85136209844
A Discursive Approach to Analyzing the Social Construction of Exercise During Pregnancy
While research has demonstrated that exercise is healthy for pregnant women (Ramirez-Velez et al., 2017), many pregnant women do not meet medical recommendations and hesitate to engage in exercise. This may be related to the dominant discourses circulating in society and popular media. For this study, I selected a samp...
[ "Discourse & Pragmatics", "Semantic Text Processing" ]
[ 71, 72 ]
https://aclanthology.org//W15-4608/
A Discursive Grid Approach to Model Local Coherence in Multi-document Summaries
[ "Natural Language Interfaces", "Dialogue Systems & Conversational Agents" ]
[ 11, 38 ]
http://arxiv.org/abs/2106.06292v2
A Discussion on Building Practical NLP Leaderboards: The Case of Machine Translation
Recent advances in AI and ML applications have benefited from rapid progress in NLP research. Leaderboards have emerged as a popular mechanism to track and accelerate progress in NLP through competitive model development. While this has increased interest and participation, the over-reliance on single, and accuracy-bas...
[ "Machine Translation", "Text Generation", "Multilinguality" ]
[ 51, 47, 0 ]
SCOPUS_ID:85097828799
A Discussion on Various Methods in Automatic Abstractive Text Summarization
Automatic abstractive text summarization (ATS) is important in terms of optimized data storage and transmission requirements on technical aspect and also for quick view of the information for the people with their busy lives. This perspective and applicability have triggered the thoughts of various researchers to devel...
[ "Summarization", "Text Generation", "Information Extraction & Text Mining" ]
[ 30, 47, 3 ]
SCOPUS_ID:85132272831
A Disease Identification Algorithm for Medical Crowdfunding Campaigns: Validation Study
Background: Web-based crowdfunding has become a popular method to raise money for medical expenses, and there is growing research interest in this topic. However, crowdfunding data are largely composed of unstructured text, thereby posing many challenges for researchers hoping to answer questions about specific medical...
[ "Language Models", "Semantic Text Processing", "Information Retrieval", "Named Entity Recognition", "Text Classification", "Information Extraction & Text Mining" ]
[ 52, 72, 24, 34, 36, 3 ]
http://arxiv.org/abs/2010.11384v2
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
The flexibility of the inference process in Variational Autoencoders (VAEs) has recently led to revising traditional probabilistic topic models giving rise to Neural Topic Models (NTMs). Although these approaches have achieved significant results, surprisingly very little work has been done on how to disentangle the la...
[ "Topic Modeling", "Opinion Mining", "Robustness in NLP", "Sentiment Analysis", "Responsible & Trustworthy NLP", "Information Extraction & Text Mining" ]
[ 9, 49, 58, 78, 4, 3 ]
SCOPUS_ID:1642505638
A Distance Based Semantic Search Algorithm for Peer-to-Peer Open Hypermedia Systems
We consider the problem of content management in dynamically created collaborative environments. We describe the problem domain with the aid of a collaborative application in Open Hypermedia Systems, which allows individual users to share their link databases, otherwise known as linkbases. The RDF specification is util...
[ "Semantic Search", "Semantic Text Processing", "Information Retrieval" ]
[ 41, 72, 24 ]
http://arxiv.org/abs/2204.06584v1
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes
We introduce ChemDisGene, a new dataset for training and evaluating multi-class multi-label document-level biomedical relation extraction models. Our dataset contains 80k biomedical research abstracts labeled with mentions of chemicals, diseases, and genes, portions of which human experts labeled with 18 types of biome...
[ "Relation Extraction", "Information Extraction & Text Mining" ]
[ 75, 3 ]