id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
SCOPUS_ID:84901794363 | A Fast and Efficient Thinning Algorithm for Binary Images | Skeletonization "also known as thinning" is an important step in the pre-processing phase in many of pattern recognition techniques. The output of Skeletonization process is the skeleton of the pattern in the images. Skeletonization is a crucial process for many applications such as OCR and writer identification. Howev... | [
"Visual Data in NLP",
"Multimodality",
"Responsible & Trustworthy NLP",
"Green & Sustainable NLP"
] | [
20,
74,
4,
68
] |
https://aclanthology.org//K17-3025/ | A Fast and Lightweight System for Multilingual Dependency Parsing | We present a multilingual dependency parser with a bidirectional-LSTM (BiLSTM) feature extractor and a multi-layer perceptron (MLP) classifier. We trained our transition-based projective parser in UD version 2.0 datasets without any additional data. The parser is fast, lightweight and effective on big treebanks. In the... | [
"Language Models",
"Semantic Text Processing",
"Syntactic Text Processing",
"Syntactic Parsing",
"Multilinguality"
] | [
52,
72,
15,
28,
0
] |
http://arxiv.org/abs/1206.6426v1 | A Fast and Simple Algorithm for Training Neural Probabilistic Language Models | In spite of their superior performance, neural probabilistic language models (NPLMs) remain far less widely used than n-gram models due to their notoriously long training times, which are measured in weeks even for moderately-sized datasets. Training NPLMs is computationally expensive because they are explicitly normal... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
http://arxiv.org/abs/1810.04142v1 | A Fast, Compact, Accurate Model for Language Identification of Codemixed Text | We address fine-grained multilingual language identification: providing a language code for every token in a sentence, including codemixed text containing multiple languages. Such text is prevalent online, in documents, social media, and message boards. We show that a feed-forward network with a simple globally constra... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Multilinguality"
] | [
3,
24,
36,
0
] |
http://arxiv.org/abs/1807.05855v1 | A Fast-Converged Acoustic Modeling for Korean Speech Recognition: A Preliminary Study on Time Delay Neural Network | In this paper, a time delay neural network (TDNN) based acoustic model is proposed to implement a fast-converged acoustic modeling for Korean speech recognition. The TDNN has an advantage in fast-convergence where the amount of training data is limited, due to subsampling which excludes duplicated weights. The TDNN sho... | [
"Text Generation",
"Speech & Audio in NLP",
"Speech Recognition",
"Multimodality"
] | [
47,
70,
10,
74
] |
http://arxiv.org/abs/cmp-lg/9610004v1 | A Faster Structured-Tag Word-Classification Method | Several methods have been proposed for processing a corpus to induce a tagset for the sub-language represented by the corpus. This paper examines a structured-tag word classification method introduced by McMahon (1994) and discussed further by McMahon & Smith (1995) in cmp-lg/9503011 . Two major variations, (1) non-ran... | [
"Text Classification",
"Syntactic Text Processing",
"Text Clustering",
"Tagging",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
15,
29,
63,
24,
3
] |
SCOPUS_ID:85116485901 | A Fault Data Generation Algorithm Based on GAN and Policy Gradient Mechanism | Generative adversarial networks(GAN) are widely used in various fields. However, when generating text data with contextual correlation characteristics such as fault data, GAN has many limitations. On the one hand, discrete data output makes it difficult to pass gradient updates from the discriminator to the generator; ... | [
"Language Models",
"Semantic Text Processing",
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
52,
72,
58,
4
] |
SCOPUS_ID:85147494250 | A Feasibility Study for inclusion of Ethics and Social issues in Engineering and Design Coursework in Australia | This paper reports on a feasibility study on including ethics and social issues in the current curriculum of a school of engineering and information technology in an Australian university. The study has three goals: first, to understand the current status of inclusion of ethics and social issues in engineering courses.... | [
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
17,
4
] |
http://arxiv.org/abs/2203.08685v2 | A Feasibility Study of Answer-Agnostic Question Generation for Education | We conduct a feasibility study into the applicability of answer-agnostic question generation models to textbook passages. We show that a significant portion of errors in such systems arise from asking irrelevant or uninterpretable questions and that such errors can be ameliorated by providing summarized input. We find ... | [
"Question Generation",
"Text Generation"
] | [
76,
47
] |
SCOPUS_ID:85125804260 | A Feasibility Study of Open-Source Sentiment Analysis and Text Classification Systems on Disaster-Specific Social Media Data | Crisis informatics is a multi-disciplinary area of research that has taken on renewed urgency due to the COVID-19 pandemic and the runaway effects of climate change. Due to scarce resources, technology, especially augmented artificial intelligence (AI), has the potential to play a meaningful role by using information m... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
http://arxiv.org/abs/2007.06390v2 | A Feature Analysis for Multimodal News Retrieval | Content-based information retrieval is based on the information contained in documents rather than using metadata such as keywords. Most information retrieval methods are either based on text or image. In this paper, we investigate the usefulness of multimodal features for cross-lingual news search in various domains: ... | [
"Visual Data in NLP",
"Semantic Text Processing",
"Representation Learning",
"Information Retrieval",
"Multimodality"
] | [
20,
72,
12,
24,
74
] |
SCOPUS_ID:84987712279 | A Feature Based Approach for Sentiment Analysis by Using Support Vector Machine | In this modern era of globalization, e-commerce has become one of the most convenient ways to shop. Every day people buy many products through online and post their reviews about the product which they have used. These reviews play a vital role in determining how far a product has been placed in consumers' psyche. So t... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85116800075 | A Feature Based Classification and Analysis of Hidden Markov Model in Speech Recognition | Speech recognition is to change over the acoustical sign got from a spokesman or a phone which produces a lot of words. Speech recognition can also regardless called computer speech cognizance which means making the digital device understand what we are talking about. It helps users direct their systems for work, and a... | [
"Text Classification",
"Speech & Audio in NLP",
"Multimodality",
"Text Generation",
"Speech Recognition",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
70,
74,
47,
10,
24,
3
] |
http://arxiv.org/abs/2201.04227v1 | A Feature Extraction based Model for Hate Speech Identification | The detection of hate speech online has become an important task, as offensive language such as hurtful, obscene and insulting content can harm marginalized people or groups. This paper presents TU Berlin team experiments and results on the task 1A and 1B of the shared task on hate speech and offensive content identifi... | [
"Language Models",
"Semantic Text Processing",
"Information Extraction & Text Mining",
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
52,
72,
3,
17,
4
] |
SCOPUS_ID:85055862286 | A Feature Fusion Based Approach for Handwritten Bangla Character Recognition Using Extreme Learning Machine | Optical Character Recognition (OCR) is an abstruse field of pattern recognition. An active branch of OCR is handwritten character recognition. This paper presents Bangla handwritten character recognition based on a feature fusion endeavor. Character recognition mostly depends on impeccable features extracted from input... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85093825408 | A Feature Learning based Technique to Classify Medline Disease Abstracts | In bioinformatics, the classification of research documents in relation to their subject matter (specifically, disease types) is a very important task with many applications in the field. In terms of text classification, the total number of available disease documents is limited with Medline being the main source, cont... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85014914424 | A Feature terms extraction method based on polarity analysis of customer reviews for content-based recommendation | Our paper proposes a method for extracting feature terms expressing feelings regarding the use of a product from cus-tomer reviews on e-commerce sites, based on content-based recommendation. Considering previous research indicating that negative events and impressions have a greater impact than positive ones, we dene t... | [
"Polarity Analysis",
"Sentiment Analysis",
"Information Extraction & Text Mining"
] | [
33,
78,
3
] |
SCOPUS_ID:85111377100 | A Feature-Augmented Deep Learning Model for Extractive Summarization | Extractive text summarization can be seen as a classification task in which sentences from the document are labelled with either in-summary or not-in-summary. The most salient sentences (i.e., with highest ranking score) from the original document will be selected to generate the summary. Recent success of deep learnin... | [
"Text Classification",
"Summarization",
"Text Generation",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
30,
47,
24,
3
] |
SCOPUS_ID:85126018527 | A Feature-Based Approach for Sentiment Quantification Using Machine Learning | Sentiment analysis has been one of the most active research areas in the past decade due to its vast applications. Sentiment quantification, a new research problem in this field, extends sentiment analysis from individual documents to an aggregated collection of documents. Sentiment analysis has been widely researched,... | [
"Sentiment Analysis"
] | [
78
] |
http://arxiv.org/abs/1803.08463v1 | A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation Campaign | In this report, we describe our participant named-entity recognition system at VLSP 2018 evaluation campaign. We formalized the task as a sequence labeling problem using BIO encoding scheme. We applied a feature-based model which combines word, word-shape features, Brown-cluster-based features, and word-embedding-based... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85061320480 | A Feature-Enhanced Entity Recognition Method for Chinese Electronic Medical Records | Electronic medical records (EMRs) contain rich medical information, which is of great significance to medical research. The amount of Chinese EMRs is growing, whereas the current named entity recognition methods based on machine learning do not consider the unique characteristics of Chinese EMR. In this paper, four typ... | [
"Semantic Text Processing",
"Representation Learning",
"Named Entity Recognition",
"Text Clustering",
"Information Extraction & Text Mining"
] | [
72,
12,
34,
29,
3
] |
http://arxiv.org/abs/1611.05384v2 | A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging | Recently, neural network models for natural language processing tasks have been increasingly focused on for their ability of alleviating the burden of manual feature engineering. However, the previous neural models cannot extract the complicated feature compositions as the traditional methods with discrete features. In... | [
"Tagging",
"Text Segmentation",
"Syntactic Text Processing"
] | [
63,
21,
15
] |
SCOPUS_ID:85139351134 | A Feature-Rich Vietnamese Named Entity Recognition Model | In this paper, we present a feature-based named entity recognition (NER) model that achieves the start-of-the-art accuracy for Vietnamese language. We combine word, word-shape features, PoS, chunk, Brown-cluster-based features, and word-embedding-based features in the Conditional Random Fields (CRF) model. We also expl... | [
"Chunking",
"Syntactic Text Processing",
"Named Entity Recognition",
"Text Segmentation",
"Information Extraction & Text Mining"
] | [
43,
15,
34,
21,
3
] |
http://arxiv.org/abs/1803.04375v1 | A Feature-Rich Vietnamese Named-Entity Recognition Model | In this paper, we present a feature-based named-entity recognition (NER) model that achieves the start-of-the-art accuracy for Vietnamese language. We combine word, word-shape features, PoS, chunk, Brown-cluster-based features, and word-embedding-based features in the Conditional Random Fields (CRF) model. We also expl... | [
"Chunking",
"Syntactic Text Processing",
"Named Entity Recognition",
"Text Segmentation",
"Information Extraction & Text Mining"
] | [
43,
15,
34,
21,
3
] |
http://arxiv.org/abs/1505.00863v1 | A Feature-based Classification Technique for Answering Multi-choice World History Questions | Our FRDC_QA team participated in the QA-Lab English subtask of the NTCIR-11. In this paper, we describe our system for solving real-world university entrance exam questions, which are related to world history. Wikipedia is used as the main external resource for our system. Since problems with choosing right/wrong sente... | [
"Text Classification",
"Question Answering",
"Natural Language Interfaces",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
27,
11,
24,
3
] |
SCOPUS_ID:85142247401 | A Feature-based Stochastic Morphological Analyzer for Filipino Affixed Words | This paper papers presents a featured-based stochastic stemming methods for obtaining affixes in Filipino language. The method aims to introduce a statistical stemming approach that is based on the morphological attributes of Filipino words. Various Filipino word forms from different types of sources were obtained and ... | [
"Syntactic Text Processing",
"Morphology"
] | [
15,
73
] |
SCOPUS_ID:85140491782 | A Feature-enhanced Model for Chinese Medical Text Classification Based on Improved BERT and Feature Fusion | With the development of internet hospitals and natural language processing technology, medical text classification based on machine learning gains increasing attentions. In this paper, we propose a feature-enhanced Chinese text classification model for intelligent medical consultation, which combines char-word level to... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85125194640 | A Federated Adversarial Learning Method for Biomedical Named Entity Recognition | Identifying medical terms with specific meaning and information with semantic attribute is the prerequisite of conducting semantic analysis in medical field. However, the problem of medical data island restricts the development of entity recognition in a great extent. In addition to the ban of data sharing between diff... | [
"Responsible & Trustworthy NLP",
"Named Entity Recognition",
"Robustness in NLP",
"Information Extraction & Text Mining"
] | [
4,
34,
58,
3
] |
http://arxiv.org/abs/2302.09243v1 | A Federated Approach for Hate Speech Detection | Hate speech detection has been the subject of high research attention, due to the scale of content created on social media. In spite of the attention and the sensitive nature of the task, privacy preservation in hate speech detection has remained under-studied. The majority of research has focused on centralised machin... | [
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
17,
4
] |
SCOPUS_ID:85124795749 | A Federated Learning Based Chinese Text Classification Model with Parameter Factorization Weighting | Federated learning (FL), as an emerging field of machine learning, has received wide attention since this concept was proposed. In this, paper, we conduct research on text classification based on Federated Learning, and propose a Federated Learning via Local Batch Normalization and Parameter Factorization Weighting bas... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85124737906 | A Feminist Relational Discourse Analysis of mothers’ voiced accounts of the “duty to protect” children from fatness and fatphobia | Research has highlighted damaging contradictions in the responsibilisation of mothers over children's health, at once held responsible for tackling “childhood obesity” while being cautious not to encourage children to become obsessive with their bodies. While research has highlighted discourses of blame and elucidated ... | [
"Discourse & Pragmatics",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Multimodality"
] | [
71,
72,
70,
74
] |
http://arxiv.org/abs/2106.14807v1 | A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques | Recent developments in representational learning for information retrieval can be organized in a conceptual framework that establishes two pairs of contrasts: sparse vs. dense representations and unsupervised vs. learned representations. Sparse learned representations can further be decomposed into expansion and term w... | [
"Information Retrieval"
] | [
24
] |
http://arxiv.org/abs/2004.03485v1 | A Few Topical Tweets are Enough for Effective User-Level Stance Detection | Stance detection entails ascertaining the position of a user towards a target, such as an entity, topic, or claim. Recent work that employs unsupervised classification has shown that performing stance detection on vocal Twitter users, who have many tweets on a target, can yield very high accuracy (+98%). However, such ... | [
"Low-Resource NLP",
"Information Extraction & Text Mining",
"Information Retrieval",
"Opinion Mining",
"Sentiment Analysis",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
80,
3,
24,
49,
78,
36,
4
] |
SCOPUS_ID:85116756577 | A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint | Charting the baby connectome evolution trajectory during the first year after birth plays a vital role in understanding dynamic connectivity development of baby brains. Such analysis requires acquisition of longitudinal connectomic datasets. However, both neonatal and postnatal scans are rarely acquired due to various ... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Green & Sustainable NLP",
"Structured Data in NLP",
"Responsible & Trustworthy NLP",
"Multimodality"
] | [
52,
80,
72,
68,
50,
4,
74
] |
SCOPUS_ID:85145567542 | A Few-Shot Relation Extraction Method for Enhancing Entity Attention | The aim of the few-shot relation extraction (FSRE) method is to study the relation classification problem with fewer samples. An effective few-shot relation extraction model EnAttConceptFERE is proposed to effectively classify relationships through externally introduced entity concept information and the greater use of... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Relation Extraction",
"Responsible & Trustworthy NLP",
"Information Extraction & Text Mining"
] | [
52,
80,
72,
75,
4,
3
] |
http://arxiv.org/abs/2009.07968v3 | A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation | Previous attempts to build effective semantic parsers for Wizard-of-Oz (WOZ) conversations suffer from the difficulty in acquiring a high-quality, manually annotated training set. Approaches based only on dialogue synthesis are insufficient, as dialogues generated from state-machine based models are poor approximations... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Representation Learning",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Responsible & Trustworthy NLP",
"Green & Sustainable NLP"
] | [
52,
80,
72,
12,
11,
38,
4,
68
] |
http://arxiv.org/abs/2209.09450v1 | A Few-shot Approach to Resume Information Extraction via Prompts | Prompt learning has been shown to achieve near-Fine-tune performance in most text classification tasks with very few training examples. It is advantageous for NLP tasks where samples are scarce. In this paper, we attempt to apply it to a practical scenario, i.e resume information extraction, and to enhance the existing... | [
"Low-Resource NLP",
"Language Models",
"Semantic Text Processing",
"Information Extraction & Text Mining",
"Responsible & Trustworthy NLP"
] | [
80,
52,
72,
3,
4
] |
SCOPUS_ID:85114961497 | A Few-shot Learning Method Based on Bidirectional Encoder Representation from Transformers for Relation Extraction | Relation extraction is one of the fundamental subtasks of the information extraction. The purpose is to determine the implicit relation between two entities in a sentence. Therefore, Convolutional Neural Networks and Feature Attention-based Prototypical Networks (CNN-Proto-FATT), a typical few-shot learning method, is ... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Relation Extraction",
"Representation Learning",
"Responsible & Trustworthy NLP",
"Information Extraction & Text Mining"
] | [
52,
80,
72,
75,
12,
4,
3
] |
SCOPUS_ID:85137039991 | A Filipino philosophy of higher education? Exploring the purpose of higher learning in the Philippines | This paper aims to explore the philosophy that is embedded in the Philippine higher education system, and to locate the country’s philosophy of education within the global context. The Philippine higher education is marked by complexity in terms of governance and organization. More importantly, its origin and developme... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
SCOPUS_ID:85070208366 | A Filter Based Feature Selection for Imbalanced Text Classification | In this work, a text classification method through a filter type feature selection for imbalanced data is addressed. The model initially clusters the documents associated with a class through a hierarchical clustering there by accomplishing a balanced or near balanced class. Later, a filter type feature selection is re... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Text Clustering"
] | [
3,
24,
36,
29
] |
http://arxiv.org/abs/2003.04987v1 | A Financial Service Chatbot based on Deep Bidirectional Transformers | We develop a chatbot using Deep Bidirectional Transformer models (BERT) to handle client questions in financial investment customer service. The bot can recognize 381 intents, and decides when to say "I don't know" and escalates irrelevant/uncertain questions to human operators. Our main novel contribution is the discu... | [
"Language Models",
"Natural Language Interfaces",
"Semantic Text Processing",
"Dialogue Systems & Conversational Agents"
] | [
52,
11,
72,
38
] |
SCOPUS_ID:85101577656 | A Fine Tuned Model of Grasshopper Optimization Algorithm with Classifiers for Optimal Text Classification | Text classification is widely used application of natural language processing and machine learning classifier. Tuning hyper-parameters of the classifier in machine learning is difficult and important step. The tuning of hyper-parameters means selection of the optimal hyper-parameters of the algorithm. Many approaches f... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
https://aclanthology.org//2021.wmt-1.59/ | A Fine-Grained Analysis of BERTScore | BERTScore, a recently proposed automatic metric for machine translation quality, uses BERT, a large pre-trained language model to evaluate candidate translations with respect to a gold translation. Taking advantage of BERT’s semantic and syntactic abilities, BERTScore seeks to avoid the flaws of earlier approaches like... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Syntactic Text Processing",
"Text Generation",
"Multilinguality"
] | [
52,
51,
72,
15,
47,
0
] |
SCOPUS_ID:85145007365 | A Fine-Grained Anomaly Detection Method Fusing Isolation Forest and Knowledge Graph Reasoning | Anomaly detection aims to find outliers data that do not conform to expected behaviors in a specific scenario, which is indispensable and critical in current safety environments related studies. However, when performing outlier detection on a large-scale multidimensional dataset, most of the traditional methods make no... | [
"Semantic Text Processing",
"Structured Data in NLP",
"Knowledge Representation",
"Knowledge Graph Reasoning",
"Reasoning",
"Multimodality"
] | [
72,
50,
18,
54,
8,
74
] |
SCOPUS_ID:85146820391 | A Fine-Grained Bird Classification Method Based on Attention and Decoupled Knowledge Distillation | Classifying birds accurately is essential for ecological monitoring. In recent years, bird image classification has become an emerging method for bird recognition. However, the bird image classification task needs to face the challenges of high intraclass variance and low inter-class variance among birds, as well as lo... | [
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Green & Sustainable NLP",
"Responsible & Trustworthy NLP",
"Text Classification",
"Multimodality"
] | [
20,
52,
72,
24,
3,
68,
4,
36,
74
] |
SCOPUS_ID:85075572084 | A Fine-Grained Multilingual Analysis Based on the Appraisal Theory: Application to Arabic and English Videos | The objective of this paper is to compare the opinions of two videos in two different languages. To do so, a fine-grained approach inspired from the appraisal theory is used to analyze the content of the videos that concern the same topic. In general, the methods devoted to sentiment analysis concern the study of the p... | [
"Multilinguality",
"Visual Data in NLP",
"Linguistics & Cognitive NLP",
"Linguistic Theories",
"Sentiment Analysis",
"Multimodality"
] | [
0,
20,
48,
57,
78,
74
] |
http://arxiv.org/abs/1911.12722v2 | A Fine-Grained Sentiment Dataset for Norwegian | We introduce NoReC_fine, a dataset for fine-grained sentiment analysis in Norwegian, annotated with respect to polar expressions, targets and holders of opinion. The underlying texts are taken from a corpus of professionally authored reviews from multiple news-sources and across a wide variety of domains, including lit... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85056149548 | A Fine-Grained Spatial-Temporal Attention Model for Video Captioning | Attention mechanism has been extensively used in video captioning tasks, which enables further development of deeper visual understanding. However, most existing video captioning methods apply the attention mechanism on the frame level, which only model the temporal structure and generated words, but ignore the region-... | [
"Visual Data in NLP",
"Captioning",
"Text Generation",
"Multimodality"
] | [
20,
39,
47,
74
] |
SCOPUS_ID:85139075995 | A Fine-Grained Study of Interpretability of Convolutional Neural Networks for Text Classification | In this work, we proposed a new interpretability framework for convolutional neural networks trained for text classification. The objective is to discover the interpretability of the convolutional layers that composes the architecture. The methodology introduced explores the most relevant words for the classification a... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Syntactic Text Processing",
"Explainability & Interpretability in NLP",
"Sentiment Analysis",
"Tagging",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
3,
24,
15,
81,
78,
63,
36,
4
] |
SCOPUS_ID:85123044999 | A Fine-Tuned BERT-Based Transfer Learning Approach for Text Classification | Text Classification problem has been thoroughly studied in information retrieval problems and data mining tasks. It is beneficial in multiple tasks including medical diagnose health and care department, targeted marketing, entertainment industry, and group filtering processes. A recent innovation in both data mining an... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Ethical NLP",
"Reasoning",
"Fact & Claim Verification",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
52,
72,
24,
3,
17,
8,
46,
36,
4
] |
http://arxiv.org/abs/2205.11097v2 | A Fine-grained Interpretability Evaluation Benchmark for Neural NLP | While there is increasing concern about the interpretability of neural models, the evaluation of interpretability remains an open problem, due to the lack of proper evaluation datasets and metrics. In this paper, we present a novel benchmark to evaluate the interpretability of both neural models and saliency methods. T... | [
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP"
] | [
81,
4
] |
SCOPUS_ID:85096226928 | A Fine-grained complex question translation for KBQA | Translating natural language questions into SPARQL queries is a significant challenge of semantic parsing based KBQA due to the gap between their representations. In this paper, we designed a fine-grained complex question answering framework for KBQA, including a semantic similarity model and a neural machine translati... | [
"Machine Translation",
"Semantic Text Processing",
"Question Answering",
"Semantic Similarity",
"Natural Language Interfaces",
"Text Generation",
"Multilinguality"
] | [
51,
72,
27,
53,
11,
47,
0
] |
http://arxiv.org/abs/2111.02735v3 | A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding | Speech self-supervised models such as wav2vec 2.0 and HuBERT are making revolutionary progress in Automatic Speech Recognition (ASR). However, they have not been totally proven to produce better performance on tasks other than ASR. In this work, we explored partial fine-tuning and entire fine-tuning on wav2vec 2.0 and ... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Sentiment Analysis",
"Emotion Analysis",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
47,
78,
61,
10,
74
] |
SCOPUS_ID:85111130193 | A Finetuned Language Model for Recommending cQA-QAs for Enriching Textbooks | Textbooks play a vital role in any educational system, despite their clarity and information, students tend to use community question answers (cQA) forums to acquire more knowledge. Due to the high data volume, the quality of Question-Answers (QA) of cQA forums can differ greatly, so it takes additional effort to go th... | [
"Language Models",
"Natural Language Interfaces",
"Semantic Text Processing",
"Question Answering"
] | [
52,
11,
72,
27
] |
SCOPUS_ID:85084126945 | A Finger-Worn Device for Exploring Chinese Printed Text with Using CNN Algorithm on a Micro IoT Processor | This study designed a finger-worn device-named the Chinese FingerReader-that can be practically applied by visually impaired users for recognizing traditional Chinese characters on the micro internet of things (IoT) processor. The device is portable, easy to operate, and designed to be worn on the index finger. The Chi... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:1642409510 | A Finite State Approach in Modeling Human-Computer Communication | This paper presents a finite state model of the user-system communication. The model is based on the deterministic and probabilistic finite automata. Finite state analysis of the user model is based on a slightly generalized notion of a personality model and is illustrated by a simple example of agents playing an itera... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
https://aclanthology.org//2000.iwpt-1.33/ | A Finite-state Parser with Dependency Structure Output | We show how to augment a finite-state grammar with annotations which allow dependency structures to be extracted. There are some difficulties in determinising the grammar, which is an essential step for computational efficiency, but they can be overcome. The parser also allows syntactically ambiguous structures to be p... | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] |
http://arxiv.org/abs/1908.04212v1 | A Finnish News Corpus for Named Entity Recognition | We present a corpus of Finnish news articles with a manually prepared named entity annotation. The corpus consists of 953 articles (193,742 word tokens) with six named entity classes (organization, location, person, product, event, and date). The articles are extracted from the archives of Digitoday, a Finnish online t... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85146220828 | A First Attempt at Unreliable News Detection in Swedish | Throughout the COVID-19 pandemic, a parallel infodemic has also been going on such that the information has been spreading faster than the virus itself. During this time, every individual needs to access accurate news in order to take corresponding protective measures, regardless of their country of origin or the langu... | [
"Low-Resource NLP",
"Text Classification",
"Responsible & Trustworthy NLP",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
80,
36,
4,
24,
3
] |
https://aclanthology.org//2021.maiworkshop-1.4/ | A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations | Explainable deep learning models are advantageous in many situations. Prior work mostly provide unimodal explanations through post-hoc approaches not part of the original system design. Explanation mechanisms also ignore useful textual information present in images. In this paper, we propose MTXNet, an end-to-end train... | [
"Visual Data in NLP",
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP",
"Multimodality"
] | [
20,
81,
4,
74
] |
http://arxiv.org/abs/1710.08048v1 | A First Step in Combining Cognitive Event Features and Natural Language Representations to Predict Emotions | We explore the representational space of emotions by combining methods from different academic fields. Cognitive science has proposed appraisal theory as a view on human emotion with previous research showing how human-rated abstract event features can predict fine-grained emotions and capture the similarity space of n... | [
"Representation Learning",
"Semantic Text Processing",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
12,
72,
48,
57
] |
http://arxiv.org/abs/1505.01504v2 | A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models | In this paper, we propose the new fixed-size ordinally-forgetting encoding (FOFE) method, which can almost uniquely encode any variable-length sequence of words into a fixed-size representation. FOFE can model the word order in a sequence using a simple ordinally-forgetting mechanism according to the positions of words... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
https://aclanthology.org//W03-2905/ | A Flexemic Tagset for Polish | [
"Syntactic Text Processing",
"Morphology"
] | [
15,
73
] | |
https://aclanthology.org//W02-0209/ | A Flexible Framework for Developing Mixed-Initiative Dialog Systems | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
SCOPUS_ID:85053129832 | A Flexible Keyphrase Extraction Technique for Academic Literature | A keyphrase extraction technique endeavors to extract quality keyphrases from a given document, which provide a high-level summary of that document. Except statistical keyphrase extraction approaches, all other approaches are either domain-dependent or require a sufficient amount of training data, which are rare at pre... | [
"Term Extraction",
"Information Extraction & Text Mining"
] | [
1,
3
] |
SCOPUS_ID:85110436408 | A Flexible Mapping Scheme for Discrete and Dimensional Emotion Representations: Evidence from Textual Stimuli | While research on emotions has become one of the most productive areas at the intersection of cognitive science, artificial intelligence and natural language processing, the diversity and incommensurability of emotion models seriously hampers progress in the field. We here propose kNN regression as a simple, yet effect... | [
"Emotion Analysis",
"Semantic Text Processing",
"Sentiment Analysis",
"Representation Learning"
] | [
61,
72,
78,
12
] |
http://arxiv.org/abs/2107.05377v2 | A Flexible Multi-Task Model for BERT Serving | In this demonstration, we present an efficient BERT-based multi-task (MT) framework that is particularly suitable for iterative and incremental development of the tasks. The proposed framework is based on the idea of partial fine-tuning, i.e. only fine-tune some top layers of BERT while keep the other layers frozen. Fo... | [
"Multilinguality",
"Language Models",
"Low-Resource NLP",
"Machine Translation",
"Semantic Text Processing",
"Text Generation",
"Responsible & Trustworthy NLP",
"Green & Sustainable NLP"
] | [
0,
52,
80,
51,
72,
47,
4,
68
] |
http://arxiv.org/abs/cmp-lg/9707003v1 | A Flexible POS tagger Using an Automatically Acquired Language Model | We present an algorithm that automatically learns context constraints using statistical decision trees. We then use the acquired constraints in a flexible POS tagger. The tagger is able to use information of any degree: n-grams, automatically learned context constraints, linguistically motivated manually written constr... | [
"Language Models",
"Tagging",
"Semantic Text Processing",
"Syntactic Text Processing"
] | [
52,
63,
72,
15
] |
http://arxiv.org/abs/cs/0312050v1 | A Flexible Pragmatics-driven Language Generator for Animated Agents | This paper describes the NECA MNLG; a fully implemented Multimodal Natural Language Generation module. The MNLG is deployed as part of the NECA system which generates dialogues between animated agents. The generation module supports the seamless integration of full grammar rules, templates and canned text. The generato... | [
"Discourse & Pragmatics",
"Semantic Text Processing",
"Text Generation"
] | [
71,
72,
47
] |
http://arxiv.org/abs/cs/0403039v1 | A Flexible Rule Compiler for Speech Synthesis | We present a flexible rule compiler developed for a text-to-speech (TTS) system. The compiler converts a set of rules into a finite-state transducer (FST). The input and output of the FST are subject to parameterization, so that the system can be applied to strings and sequences of feature-structures. The resulting tra... | [
"Speech & Audio in NLP",
"Multimodality"
] | [
70,
74
] |
http://arxiv.org/abs/cs/9812018v1 | A Flexible Shallow Approach to Text Generation | In order to support the efficient development of NL generation systems, two orthogonal methods are currently pursued with emphasis: (1) reusable, general, and linguistically motivated surface realization components, and (2) simple, task-oriented template-based techniques. In this paper we argue that, from an applicatio... | [
"Text Generation"
] | [
47
] |
https://aclanthology.org//W02-0710/ | A Flexible Speech to Speech Phrasebook Translator | [
"Multilinguality",
"Machine Translation",
"Speech & Audio in NLP",
"Text Generation",
"Multimodality"
] | [
0,
51,
70,
47,
74
] | |
http://arxiv.org/abs/1906.05685v2 | A Focus on Neural Machine Translation for African Languages | African languages are numerous, complex and low-resourced. The datasets required for machine translation are difficult to discover, and existing research is hard to reproduce. Minimal attention has been given to machine translation for African languages so there is scant research regarding the problems that arise when ... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
http://arxiv.org/abs/1604.01485v1 | A Focused Dynamic Attention Model for Visual Question Answering | Visual Question and Answering (VQA) problems are attracting increasing interest from multiple research disciplines. Solving VQA problems requires techniques from both computer vision for understanding the visual contents of a presented image or video, as well as the ones from natural language processing for understandi... | [
"Visual Data in NLP",
"Natural Language Interfaces",
"Question Answering",
"Multimodality"
] | [
20,
11,
27,
74
] |
http://arxiv.org/abs/2209.11910v2 | A Focused Study on Sequence Length for Dialogue Summarization | Output length is critical to dialogue summarization systems. The dialogue summary length is determined by multiple factors, including dialogue complexity, summary objective, and personal preferences. In this work, we approach dialogue summary length from three perspectives. First, we analyze the length differences betw... | [
"Summarization",
"Natural Language Interfaces",
"Text Generation",
"Dialogue Systems & Conversational Agents",
"Information Extraction & Text Mining"
] | [
30,
11,
47,
38,
3
] |
SCOPUS_ID:85094653040 | A Food Safety Text Filtering Method Based on Text Classification Techniques | In order to filter out food safety texts from unstructured textual data of various types, we proposed a Chinese food safety text filtering method. Firstly, the data is collected and preprocessed by the web crawler; secondly, the BERT pre-training model is fine-tuned by small-scale data; then the document vector calcula... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
12,
24,
3
] |
SCOPUS_ID:85112146057 | A Forecast Model of Tourism Demand Driven by Social Network Data | To improve the forecasting accuracy of tourism demand through forecasting model and data sources, this paper takes the social network data as an entry point, and collects the social network data by the web crawler, then quantifies the data based on the sentiment analysis of the BERT model. This paper uses structured va... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:0003855894 | A Form-based approach to natural language query processing | WE describe a methodology for processing data retrieval and update queries using a form-based natural language interface. For the purpose of illustration, we use computer integrated manufacturing (CIM) as the application domain. The interface consists of a set of fourth-generation interface tools (SQL forms), a set of ... | [
"Programming Languages in NLP",
"Natural Language Interfaces",
"Multimodality"
] | [
55,
11,
74
] |
http://arxiv.org/abs/2003.07385v1 | A Formal Analysis of Multimodal Referring Strategies Under Common Ground | In this paper, we present an analysis of computationally generated mixed-modality definite referring expressions using combinations of gesture and linguistic descriptions. In doing so, we expose some striking formal semantic properties of the interactions between gesture and language, conditioned on the introduction of... | [
"Multimodality"
] | [
74
] |
https://aclanthology.org//W97-0405/ | A Formal Basis for Spoken Language Translation by Analogy | [
"Machine Translation",
"Speech & Audio in NLP",
"Multimodality",
"Text Generation",
"Reasoning",
"Multilinguality"
] | [
51,
70,
74,
47,
8,
0
] | |
https://aclanthology.org//W13-0807/ | A Formal Characterization of Parsing Word Alignments by Synchronous Grammars with Empirical Evidence to the ITG Hypothesis. | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
http://arxiv.org/abs/2109.03942v1 | A Formal Description of Sorani Kurdish Morphology | Sorani Kurdish, also known as Central Kurdish, has a complex morphology, particularly due to the patterns in which morphemes appear. Although several aspects of Kurdish morphology have been studied, such as pronominal endoclitics and Izafa constructions, Sorani Kurdish morphology has received trivial attention in compu... | [
"Syntactic Text Processing",
"Morphology"
] | [
15,
73
] |
https://aclanthology.org//W97-0715/ | A Formal Model of Text Summarization Based on Condensation Operators of a Terminological Logic | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] | |
http://arxiv.org/abs/1807.01996v1 | A Formal Ontology-Based Classification of Lexemes and its Applications | The paper describes the enrichment of OntoSenseNet - a verb-centric lexical resource for Indian Languages. A major contribution of this work is preservation of an authentic Telugu dictionary by developing a computational version of the same. It is important because native speakers can better annotate the sense-types wh... | [
"Semantic Text Processing",
"Text Classification",
"Knowledge Representation",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
18,
24,
3
] |
https://aclanthology.org//W09-4401/ | A Formal Scope on the Relations Between Definitions and Verbal Predications | [
"Information Extraction & Text Mining"
] | [
3
] | |
SCOPUS_ID:67651204900 | A Formal Syntax of Natural Languages and the Deductive Grammar | This paper presents a formal syntax framework of natural languages for computational linguistics. The abstract syntax of natural languages, particularly English, and their formal manipulations are described. On the basis of the abstract syntax, a universal language processing model and the deductive grammar of English ... | [
"Reasoning",
"Syntactic Text Processing"
] | [
8,
15
] |
https://aclanthology.org//1995.iwpt-1.23/ | A Formalism and a Parser for Lexicalised Dependency Grammars | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] | |
http://arxiv.org/abs/cmp-lg/9504019v2 | A Formalism and an Algorithm for Computing Pragmatic Inferences and Detecting Infelicities | Since Austin introduced the term ``infelicity'', the linguistic literature has been flooded with its use, but no formal or computational explanation has been given for it. This thesis provides one for those infelicities that occur when a pragmatic inference is cancelled. Our contribution assumes the existence of a fi... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
SCOPUS_ID:0035561386 | A Foucauldian Gaze on Gender Research: What Do You Do When Confronted with the Tunnel at the End of the Light? | This article, the focus of which is on girls in mathematics, engages poststructural debates over knowledge and power to explore how female subjectivity is lived within the classroom, and the first section looks at some recent feminist reconstructionists' proposals developed from the idea of "different experience." The ... | [
"Discourse & Pragmatics",
"Reasoning",
"Numerical Reasoning",
"Semantic Text Processing"
] | [
71,
8,
5,
72
] |
SCOPUS_ID:85128708010 | A Foucauldian discourse analysis of unit coordinators’ experiences of consensus moderation in an Australian university | Consensus moderation, where collaboration and discussion take place to reach an agreement on mark allocation, is a frequently used approach to quality assurance in higher education. Unit coordinators play a vital role in facilitating consensus moderation, yet limited research has focused on their role in moderation pra... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
SCOPUS_ID:0037506734 | A Foundation for Representing and Querying Moving Objects | Spatio-temporal databases deal with geometries changing over time. The goal of our work is to provide a DBMS data model and query language capable of handling such time-dependent geometries, including those changing continuously that describe moving objects. Two fundamental abstractions are moving point and moving regi... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
https://aclanthology.org//W13-4043/ | A Four-Participant Group Facilitation Framework for Conversational Robots | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
SCOPUS_ID:21944444399 | A Fourier descriptor based character recognition engine implemented under the gamera open-source document processing framework | This paper discusses the implementation of an engine for performing optical character recognition of bi-tonal images using the Gamera framework, an existing open-source framework for building document analysis applications. The OCR engine uses features that are based on the Fourier descriptor to distinguish characters,... | [
"Visual Data in NLP",
"Text Classification",
"Multimodality",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
20,
36,
74,
24,
3
] |
http://arxiv.org/abs/2102.06038v1 | A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction | It is already known that both auditory and visual stimulus is able to convey emotions in human mind to different extent. The strength or intensity of the emotional arousal vary depending on the type of stimulus chosen. In this study, we try to investigate the emotional arousal in a cross-modal scenario involving both a... | [
"Visual Data in NLP",
"Speech & Audio in NLP",
"Multimodality"
] | [
20,
70,
74
] |
https://aclanthology.org//W17-2626/ | A Frame Tracking Model for Memory-Enhanced Dialogue Systems | Recently, resources and tasks were proposed to go beyond state tracking in dialogue systems. An example is the frame tracking task, which requires recording multiple frames, one for each user goal set during the dialogue. This allows a user, for instance, to compare items corresponding to different goals. This paper pr... | [
"Representation Learning",
"Natural Language Interfaces",
"Semantic Text Processing",
"Dialogue Systems & Conversational Agents"
] | [
12,
11,
72,
38
] |
https://aclanthology.org//W08-0120/ | A Frame-Based Probabilistic Framework for Spoken Dialog Management Using Dialog Examples | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
SCOPUS_ID:85122566041 | A Frame-Inspired Task-Based Approach to Metaphor Teaching | The paper aims to make a contribution to recent discussions of the application of a particular cognitive linguistic theory, frame semantics, to the field of language teaching. The proposal put forward demonstrates the meeting points between frame semantics and task-based language teaching. In explaining why and how fra... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
https://aclanthology.org//W97-0204/ | A Frame-Semantic Approach to Semantic Annotation | [
"Tagging",
"Syntactic Text Processing"
] | [
63,
15
] | |
SCOPUS_ID:85006345056 | A Framework Based on Semantic Spaces and Glyphs for Social Sensing on Twitter | In this paper we present a framework aimed at detecting emotions and sentiments in a Twitter stream. The approach uses the well-founded Latent Semantic Analysis technique, which can be seen as a bio-insipred cognitive architecture, to induce a semantic space where tweets are mapped and analysed by soft sensors. The mea... | [
"Emotion Analysis",
"Sentiment Analysis"
] | [
61,
78
] |
SCOPUS_ID:85116938947 | A Framework System Using Word Mover’s Distance Text Similarity Algorithm for Assessing Privacy Policy Compliance | Privacy policies are important as they outline how organizations manage the personal data of consumers who use their services. However, a key issue with privacy policies is that they are lengthy and verbose, hindering the public from fully understanding the contents stated in the privacy policy. While there have been e... | [
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
17,
4
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.