id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
http://arxiv.org/abs/2010.00190v1 | A Compare Aggregate Transformer for Understanding Document-grounded Dialogue | Unstructured documents serving as external knowledge of the dialogues help to generate more informative responses. Previous research focused on knowledge selection (KS) in the document with dialogue. However, dialogue history that is not related to the current dialogue may introduce noise in the KS processing. In this ... | [
"Language Models",
"Natural Language Interfaces",
"Semantic Text Processing",
"Dialogue Systems & Conversational Agents"
] | [
52,
11,
72,
38
] |
SCOPUS_ID:85063643300 | A Compare-Aggregate Model with Embedding Selector for Answer Selection | Answer selection is a challenging task in natural language processing that requires both natural language understanding and word knowledge. At present, most of recent methods draw on insights from attention mechanism to learn the complex semantic relations between questions and answers. Previous remarkable approaches m... | [
"Natural Language Interfaces",
"Semantic Text Processing",
"Question Answering",
"Representation Learning"
] | [
11,
72,
27,
12
] |
SCOPUS_ID:85096623923 | A Compare-Aggregate Model with External Knowledge for Query-Focused Summarization | Query-focused extractive summarization aims to create a summary by selecting sentences from original document according to query relevance and redundancy. With recent advances of neural network models in natural language processing, attention mechanism is widely used to address text summarization task. However, existin... | [
"Semantic Text Processing",
"Summarization",
"Knowledge Representation",
"Text Generation",
"Information Extraction & Text Mining"
] | [
72,
30,
18,
47,
3
] |
http://arxiv.org/abs/1905.12897v2 | A Compare-Aggregate Model with Latent Clustering for Answer Selection | In this paper, we propose a novel method for a sentence-level answer-selection task that is a fundamental problem in natural language processing. First, we explore the effect of additional information by adopting a pretrained language model to compute the vector representation of the input text and by applying transfer... | [
"Information Extraction & Text Mining",
"Text Clustering"
] | [
3,
29
] |
https://aclanthology.org//2011.mtsummit-papers.51/ | A Comparison Study of Parsers for Patent Machine Translation | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
SCOPUS_ID:85134875697 | A Comparison Study of Pre-trained Language Models for Chinese Legal Document Classification | Legal artificial intelligence (LegalAI), aiming to benefit the legal domain using artificial intelligence technologies, is the hot topic of the moment. As the basis for various LegalAI tasks such as judgment prediction and similar case matching, the classification of legal documents is an issue that has to be addressed... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85078312157 | A Comparison Study on Legal Document Classification Using Deep Neural Networks | Despite the rapid development of artificial intelligence technology in legal services around the world, little research work is being performed in the area of legal document classification in Korean language. In this paper, we propose and compare three different legal document classification approaches based on two dee... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
https://aclanthology.org//W09-3948/ | A Comparison between Dialog Corpora Acquired with Real and Simulated Users | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
SCOPUS_ID:85112181240 | A Comparison between Machine Learning Researches that use Arabic Text: A Case Study of Social Media Datasets | The world is directed to use the huge data and use it in a beneficial way, this allowed researchers to think about how to classify these data, which have many shapes, speeds and sizes, as it was important to study the data that are in social media, analyse and benefit from it through its classification. We used more th... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/cs/0009022v1 | A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation | This paper describes a set of comparative experiments, including cross-corpus evaluation, between five alternative algorithms for supervised Word Sense Disambiguation (WSD), namely Naive Bayes, Exemplar-based learning, SNoW, Decision Lists, and Boosting. Two main conclusions can be drawn: 1) The LazyBoosting algorithm ... | [
"Semantic Text Processing",
"Word Sense Disambiguation"
] | [
72,
65
] |
SCOPUS_ID:84939539666 | A Comparison between multi-layer perceptrons and convolutional neural networks for text image super-resolution | We compare the performances of several Multi-Layer Perceptrons (MLPs) and Convolutional Neural Networks (ConvNets) for single text image Super-Resolution. We propose an example-based framework for both MLP and ConvNet, where a non-linear mapping between pairs of patches and high-frequency pixel values is learned. We th... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
http://arxiv.org/abs/2205.01600v1 | A Comparison of Approaches for Imbalanced Classification Problems in the Context of Retrieving Relevant Documents for an Analysis | One of the first steps in many text-based social science studies is to retrieve documents that are relevant for the analysis from large corpora of otherwise irrelevant documents. The conventional approach in social science to address this retrieval task is to apply a set of keywords and to consider those documents to b... | [
"Topic Modeling",
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
9,
24,
36,
3
] |
http://arxiv.org/abs/2101.11040v1 | A Comparison of Approaches to Document-level Machine Translation | Document-level machine translation conditions on surrounding sentences to produce coherent translations. There has been much recent work in this area with the introduction of custom model architectures and decoding algorithms. This paper presents a systematic comparison of selected approaches from the literature on two... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
http://arxiv.org/abs/1912.10169v1 | A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings | The lack of annotated data in many languages is a well-known challenge within the field of multilingual natural language processing (NLP). Therefore, many recent studies focus on zero-shot transfer learning and joint training across languages to overcome data scarcity for low-resource languages. In this work we (i) per... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Representation Learning",
"Responsible & Trustworthy NLP",
"Multilinguality"
] | [
52,
80,
72,
12,
4,
0
] |
http://arxiv.org/abs/2211.02976v1 | A Comparison of Automatic Labelling Approaches for Sentiment Analysis | Labelling a large quantity of social media data for the task of supervised machine learning is not only time-consuming but also difficult and expensive. On the other hand, the accuracy of supervised machine learning models is strongly related to the quality of the labelled data on which they train, and automatic sentim... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85125172678 | A Comparison of Concept Embeddings for German Clinical Corpora | Clinical concept embeddings enable unsupervised learning of relationships among medical concepts. A range of benchmarks quantifies the degree to which learned representations capture medical semantics. However, training and evaluation of embeddings require a large amount of data. In addition, embeddings' benchmark scor... | [
"Representation Learning",
"Semantic Text Processing",
"Multimodality"
] | [
12,
72,
74
] |
https://aclanthology.org//2022.amta-upg.22/ | A Comparison of Data Filtering Methods for Neural Machine Translation | With the increasing availability of large-scale parallel corpora derived from web crawling and bilingual text mining, data filtering is becoming an increasingly important step in neural machine translation (NMT) pipelines. This paper applies several available tools to the task of data filtration, and compares their per... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85042363902 | A Comparison of Dictionary Building Methods for Sentiment Analysis in Software Engineering Text | Sentiment Analysis (SA) in Software Engineering (SE) texts suffers from low accuracies primarily due to the lack of an effective dictionary. The use of a domain-specific dictionary can improve the accuracy of SA in a particular domain. Building a domain dictionary is not a trivial task. The performance of lexical SA al... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85129396982 | A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation | Low-resource languages can be understood as languages that are more scarce, less studied, less privileged, less commonly taught and for which there are less resources available (Singh, 2008; Cieri et al., 2016; Magueresse et al., 2020). Natural Language Processing (NLP) research and technology mainly focuses on those l... | [
"Low-Resource NLP",
"Machine Translation",
"Text Generation",
"Responsible & Trustworthy NLP",
"Multilinguality"
] | [
80,
51,
47,
4,
0
] |
SCOPUS_ID:85078808005 | A Comparison of Distractor Selection Among Proficiency Levels in Reading Tests: A Focus on Summarization Processes in Japanese EFL Learners | This study aimed to compare selection patterns of distractors (incorrect options) according to test taker proficiency regarding Japanese students’ summarization skills of an English paragraph. Participants included 414 undergraduate students, and the test comprised three summarization process types—deletion, generaliza... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85099716572 | A Comparison of Genetic Swarm Intelligence-Based Feature Selection Algorithms for Author Identification | Researchers are moving beyond stylometric features to improve author identification systems. They are exploring non-traditional and hybrid feature sets that include areas like sentiment analysis and topic models. This feature set exploration leads to the concern of determining which features are best suited for which s... | [
"Topic Modeling",
"Information Extraction & Text Mining",
"Sentiment Analysis"
] | [
9,
3,
78
] |
https://aclanthology.org//W07-2325/ | A Comparison of Hedged and Non-hedged NLG Texts | [
"Text Generation"
] | [
47
] | |
SCOPUS_ID:0346507059 | A Comparison of Human and Statistical Language Model Performance using Missing-Word Tests | This paper presents results from a series of missing-word tests, in which a small fragment of text is presented to human subjects who are then asked to suggest a ranked list of completions. The same experiment is repeated with the WA model, an n-gram statistical language model. From the completion data two measures are... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85122877707 | A Comparison of Hybrid and End-to-End ASR Systems for the IberSpeech-RTVE 2020 Speech-to-Text Transcription Challenge | This paper describes a comparison between hybrid and end-to-end Automatic Speech Recognition (ASR) systems, which were evaluated on the IberSpeech-RTVE 2020 Speech-to-Text Transcription Challenge. Deep Neural Networks (DNNs) are becoming the most promising technology for ASR at present. In the last few years, tradition... | [
"Low-Resource NLP",
"Speech & Audio in NLP",
"Robustness in NLP",
"Text Generation",
"Responsible & Trustworthy NLP",
"Speech Recognition",
"Multimodality"
] | [
80,
70,
58,
47,
4,
10,
74
] |
SCOPUS_ID:85072853000 | A Comparison of Hybrid and End-to-End Models for Syllable Recognition | This paper presents a comparison of a traditional hybrid speech recognition system (kaldi using WFST and TDNN with lattice-free MMI) and a lexicon-free end-to-end (TensorFlow implementation of multi-layer LSTM with CTC training) models for German syllable recognition on the Verbmobil corpus. The results show that expli... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
47,
10,
74
] |
SCOPUS_ID:0037878134 | A Comparison of ID3 and Backpropagation for English Text-To-Speech Mapping | The performance of the error backpropagation (BP) and ID3 learning algorithms was compared on the task of mapping English text to phonemes and stresses. Under the distributed output code developed by Sejnowski and Rosenberg, it is shown that BP consistently out-performs ID3 on this task by several percentage points. Th... | [
"Speech & Audio in NLP",
"Multimodality"
] | [
70,
74
] |
http://arxiv.org/abs/2009.05451v1 | A Comparison of LSTM and BERT for Small Corpus | Recent advancements in the NLP field showed that transfer learning helps with achieving state-of-the-art results for new tasks by tuning pre-trained models instead of starting from scratch. Transformers have made a significant improvement in creating new state-of-the-art results for many NLP tasks including but not lim... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
http://arxiv.org/abs/2005.10113v2 | A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition | End-to-end models are gaining wider attention in the field of automatic speech recognition (ASR). One of their advantages is the simplicity of building that directly recognizes the speech frame sequence into the text label sequence by neural networks. According to the driving end in the recognition process, end-to-end ... | [
"Text Generation",
"Speech & Audio in NLP",
"Speech Recognition",
"Multimodality"
] | [
47,
70,
10,
74
] |
SCOPUS_ID:85053770279 | A Comparison of Language Model Training Techniques in a Continuous Speech Recognition System for Serbian | In this paper, a number of language model training techniques will be examined and utilized in a large vocabulary continuous speech recognition system for the Serbian language (more than 120000 words), namely Mikolov and Yandex RNNLM, TensorFlow based GPU approaches and CUED-RNNLM approach. The baseline acoustic model ... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
47,
10,
74
] |
https://aclanthology.org//W11-2005/ | A Comparison of Latent Variable Models For Conversation Analysis | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
SCOPUS_ID:85130711140 | A Comparison of Lexicon-based and Transformer-based Sentiment Analysis on Code-mixed of Low-Resource Languages | Sentiment analysis from code-mixed texts has been gaining wide attention in the past decade from researchers and practicians from various communities motivated, among others, by the increasing popularity of social media resulted in a huge volume of code-mixed texts. Sentiment analysis is an interesting problem in Natur... | [
"Multilinguality",
"Language Models",
"Low-Resource NLP",
"Machine Translation",
"Semantic Text Processing",
"Text Generation",
"Sentiment Analysis",
"Responsible & Trustworthy NLP"
] | [
0,
52,
80,
51,
72,
47,
78,
4
] |
SCOPUS_ID:85136143185 | A Comparison of Machine Learning Classification Algorithms and Methods for English Author's Works and their Translations into Bulgarian | The aim of the publication is to compare the accuracy, precision, sensitivity and F-measure of machine algorithms trained in the classification of authors of works by English authors and the classification of authors of the same works translated into Bulgarian. The algorithms examined are Multinomial Naive Bayes classi... | [
"Machine Translation",
"Information Extraction & Text Mining",
"Text Classification",
"Text Generation",
"Information Retrieval",
"Multilinguality"
] | [
51,
3,
36,
47,
24,
0
] |
SCOPUS_ID:85099597445 | A Comparison of Machine Learning and Deep Learning Methods with Rule Based Features for Mixed Emotion Analysis | Multi-class classification of sentiments from text data still remains a challenging task to detect the sentiments hidden behind the sentences because of the probable existence of multiple meanings for some of the texts in the dataset. To overcome this, the proposed rule based modified Convolutional neural network-Globa... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Sentiment Analysis",
"Emotion Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
78,
61,
24,
3
] |
https://aclanthology.org//W18-2108/ | A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
http://arxiv.org/abs/1805.06239v2 | A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese | The choice of modeling units is critical to automatic speech recognition (ASR) tasks. Conventional ASR systems typically choose context-dependent states (CD-states) or context-dependent phonemes (CD-phonemes) as their modeling units. However, it has been challenged by sequence-to-sequence attention-based models, which ... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
47,
10,
74
] |
SCOPUS_ID:85142806421 | A Comparison of Multi-Label Text Classification Models in Research Articles Labeled with Sustainable Development Goals | The classification of scientific articles aligned to Sustainable Development Goals is crucial for research institutions and universities when assessing their influence in these areas. Machine learning enables the implementation of massive text data classification tasks. The objective of this study is to apply Natural L... | [
"Information Extraction & Text Mining",
"Green & Sustainable NLP",
"Text Classification",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
3,
68,
36,
24,
4
] |
http://arxiv.org/abs/1308.0661v1 | A Comparison of Named Entity Recognition Tools Applied to Biographical Texts | Named entity recognition (NER) is a popular domain of natural language processing. For this reason, many tools exist to perform this task. Amongst other points, they differ in the processing method they rely upon, the entity types they can detect, the nature of the text they can handle, and their input/output formats. ... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85120490143 | A Comparison of Natural Language Processing Methods for the Classification of Lumbar Spine Imaging Findings Related to Lower Back Pain | Rationale and Objectives: The use of natural language processing (NLP) in radiology provides an opportunity to assist clinicians with phenotyping patients. However, the performance and generalizability of NLP across healthcare systems is uncertain. We assessed the performance within and generalizability across four hea... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
SCOPUS_ID:85113210652 | A Comparison of Natural Language Processing and Machine Learning Methods for Phishing Email Detection | Phishing is the most-used malicious attempt in which attackers, commonly via emails, impersonate trusted persons or entities to obtain private information from a victim. Even though phishing email attacks are a known cybercriminal strategy for decades, their usage has been expanded over last couple of years due to the ... | [
"Language Models",
"Semantic Text Processing",
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
52,
72,
58,
4
] |
http://arxiv.org/abs/2012.02640v2 | A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering | Chatbots are envisioned to dramatically change the future of Software Engineering, allowing practitioners to chat and inquire about their software projects and interact with different services using natural language. At the heart of every chatbot is a Natural Language Understanding (NLU) component that enables the chat... | [
"Text Classification",
"Named Entity Recognition",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
34,
11,
38,
24,
3
] |
https://aclanthology.org//W17-3531/ | A Comparison of Neural Models for Word Ordering | We compare several language models for the word-ordering task and propose a new bag-to-sequence neural model based on attention-based sequence-to-sequence models. We evaluate the model on a large German WMT data set where it significantly outperforms existing models. We also describe a novel search strategy for LM-base... | [
"Text Generation"
] | [
47
] |
http://arxiv.org/abs/1910.12674v1 | A Comparison of Neural Network Training Methods for Text Classification | We study the impact of neural networks in text classification. Our focus is on training deep neural networks with proper weight initialization and greedy layer-wise pretraining. Results are compared with 1-layer neural networks and Support Vector Machines. We work with a dataset of labeled messages from the Twitter mic... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:0028923269 | A Comparison of Phonological Skills in Children with Reading Comprehension Difficulties and Children with Decoding Difficulties | Abstract This paper examines phonologic skills in children with two distinct forms of reading difficulty: comprehension problems and decocting problems. In the first study a group of children with normal decoding skills but poor reading comprehension skill. was studied. These children were found to have age‐appropriate... | [
"Reasoning",
"Phonology",
"Syntactic Text Processing",
"Machine Reading Comprehension"
] | [
8,
6,
15,
37
] |
SCOPUS_ID:85107663575 | A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain | Neural networks for language modeling have been proven effective on several sub-Tasks of natural language processing. Training deep language models, however, is time-consuming and computationally intensive. Pre-Trained language models such as BERT are thus appealing since (1) they yielded state-of-The-Art performance, ... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85100355922 | A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports | Joint image-text embedding extracted from medical images and associated contextual reports is the bedrock for most biomedical vision-and-language (\mathrm{V}+\mathrm{L}) tasks, including medical visual question answering, clinical image-text retrieval, clinical report auto-generation. In this study, we adopt four pre-t... | [
"Language Models",
"Visual Data in NLP",
"Semantic Text Processing",
"Representation Learning",
"Reasoning",
"Numerical Reasoning",
"Multimodality"
] | [
52,
20,
72,
12,
8,
5,
74
] |
SCOPUS_ID:85089717758 | A Comparison of Pre-trained Word Embeddings for Sentiment Analysis Using Deep Learning | The public opinion expressed on review or blogging sites and social networking platforms can be the source for the extraction of very critical information related to feelings and emotions of mass towards the subject matter in the field of commerce and governance. Natural Language Processing (NLP) and Artificial Intelli... | [
"Representation Learning",
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
12,
52,
72,
78
] |
SCOPUS_ID:85107388851 | A Comparison of Question Rewriting Methods for Conversational Passage Retrieval | Conversational passage retrieval relies on question rewriting to modify the original question so that it no longer depends on the conversation history. Several methods for question rewriting have recently been proposed, but they were compared under different retrieval pipelines. We bridge this gap by thoroughly evaluat... | [
"Paraphrasing",
"Natural Language Interfaces",
"Text Generation",
"Dialogue Systems & Conversational Agents",
"Passage Retrieval",
"Information Retrieval"
] | [
32,
11,
47,
38,
66,
24
] |
https://aclanthology.org//W00-0408/ | A Comparison of Rankings Produced by Summarization Evaluation Measures | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] | |
http://arxiv.org/abs/2211.02563v1 | A Comparison of SVM against Pre-trained Language Models (PLMs) for Text Classification Tasks | The emergence of pre-trained language models (PLMs) has shown great success in many Natural Language Processing (NLP) tasks including text classification. Due to the minimal to no feature engineering required when using these models, PLMs are becoming the de facto choice for any NLP task. However, for domain-specific c... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85103983514 | A Comparison of Self-Supervised Speech Representations As Input Features for Unsupervised Acoustic Word Embeddings | Many speech processing tasks involve measuring the acoustic similarity between speech segments. Acoustic word embeddings (AWE) allow for efficient comparisons by mapping speech segments of arbitrary duration to fixed-dimensional vectors. For zero-resource speech processing, where unlabelled speech is the only available... | [
"Low-Resource NLP",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Representation Learning",
"Responsible & Trustworthy NLP",
"Multimodality"
] | [
80,
72,
70,
12,
4,
74
] |
SCOPUS_ID:85078116986 | A Comparison of Semantic Similarity Methods for Maximum Human Interpretability | The inclusion of semantic information in any similarity measures improves the efficiency of the similarity measure and provides human interpretable results for further analysis. The similarity calculation method that focuses on features related to the text's words only, will give less accurate results. This paper prese... | [
"Semantic Text Processing",
"Semantic Similarity",
"Representation Learning",
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP"
] | [
72,
53,
12,
81,
4
] |
https://aclanthology.org//2021.mtsummit-research.15/ | A Comparison of Sentence-Weighting Techniques for NMT | Sentence weighting is a simple and powerful domain adaptation technique. We carry out domain classification for computing sentence weights with 1) language model cross entropy difference 2) a convolutional neural network 3) a Recursive Neural Tensor Network. We compare these approaches with regard to domain classificat... | [
"Machine Translation",
"Information Extraction & Text Mining",
"Text Classification",
"Text Generation",
"Information Retrieval",
"Multilinguality"
] | [
51,
3,
36,
47,
24,
0
] |
SCOPUS_ID:85081181886 | A Comparison of Several Word Clustering Models | Sparse-data problem is a main issue that influences the performances of statistical language models; statistical language model based on word classes is an effective method to solve sparse-data problems. This paper presents a definition of word similarity by utilizing mutual information of adjoining words, and gives th... | [
"Language Models",
"Semantic Text Processing",
"Information Extraction & Text Mining",
"Text Clustering"
] | [
52,
72,
3,
29
] |
https://aclanthology.org//W09-2205/ | A Comparison of Structural Correspondence Learning and Self-training for Discriminative Parse Selection | [
"Low-Resource NLP",
"Responsible & Trustworthy NLP"
] | [
80,
4
] | |
SCOPUS_ID:85126937389 | A Comparison of Support Vector Machine and Naïve Bayes Classifier in Binary Sentiment Reviews for PeduliLindungi Application | COVID-19 statistics in Indonesia show more than 4.2 million active confirmed cases with more than 140 thousand deaths. The Indonesian government has made several policies to reduce the number of COVID-19 cases, one of them is by implementing the PeduliLindungi application. The government has socialized and recommended ... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
http://arxiv.org/abs/2008.04636v1 | A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification | The authors compared oversampling methods for the problem of multi-class topic classification. The SMOTE algorithm underlies one of the most popular oversampling methods. It consists in choosing two examples of a minority class and generating a new example based on them. In the paper, the authors compared the basic SMO... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85063074242 | A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition | Attention-based recurrent neural encoder-decoder models present an elegant solution to the automatic speech recognition problem. This approach folds the acoustic model, pronunciation model, and language model into a single network and requires only a parallel corpus of speech and text for training. However, unlike in c... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
47,
10,
74
] |
http://arxiv.org/abs/1905.04727v1 | A Comparison of Techniques for Sentiment Classification of Film Reviews | We undertake the task of comparing lexicon-based sentiment classification of film reviews with machine learning approaches. We look at existing methodologies and attempt to emulate and improve on them using a 'given' lexicon and a bag-of-words approach. We also utilise syntactical information such as part-of-speech and... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85141728769 | A Comparison of Text Classification Methods: Towards Fake News Detection for Indonesian Websites | Fake news reports false or distorted information that aims to mislead us and undoubtedly has a negative impact on society. For example, medical research in Taiwan shows that fake news about the COVID-19 vaccine reduces the number of doses absorbed by the public significantly as those exposed to fake news become hesitan... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Ethical NLP",
"Reasoning",
"Fact & Claim Verification",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
3,
24,
17,
8,
46,
36,
4
] |
SCOPUS_ID:85076233064 | A Comparison of Text Classifiers on IT Incidents Using WEKA | IT service management and incident management is a hot topic in every company which serves IT services and they require human effort to manage. In ITIL framework for IT service management, it's always useful to link the incidents with configuration items, in other words the assets or components necessary to deliver IT ... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:0043238076 | A Comparison of Text-Based Methods for Detecting Duplication in Scanned Document Databases | This paper presents an experimental evaluation of several text-based methods for detecting duplication in scanned document databases using uncorrected OCR output. This task is made challenging both by the wide range of degradations printed documents can suffer, and by conflicting interpretations of what it means to be ... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85126733255 | A Comparison of Topic Modeling Algorithms on Visual Social Media Networks | Topic modeling algorithms are statistical algorithms that produce meaningful information from unstructured data. Topic modeling has been applied to many social media platforms such as Instagram, Twitter, and Facebook. Images are an important type of multimedia, as they contain rich visual content that conveys semantic ... | [
"Visual Data in NLP",
"Topic Modeling",
"Information Extraction & Text Mining",
"Multimodality"
] | [
20,
9,
3,
74
] |
http://arxiv.org/abs/1806.06957v2 | A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation | Recently, neural machine translation (NMT) has been extended to multilinguality, that is to handle more than one translation direction with a single system. Multilingual NMT showed competitive performance against pure bilingual systems. Notably, in low-resource settings, it proved to work effectively and efficiently, t... | [
"Language Models",
"Low-Resource NLP",
"Machine Translation",
"Semantic Text Processing",
"Text Generation",
"Responsible & Trustworthy NLP",
"Multilinguality"
] | [
52,
80,
51,
72,
47,
4,
0
] |
http://arxiv.org/abs/2210.00367v1 | A Comparison of Transformer, Convolutional, and Recurrent Neural Networks on Phoneme Recognition | Phoneme recognition is a very important part of speech recognition that requires the ability to extract phonetic features from multiple frames. In this paper, we compare and analyze CNN, RNN, Transformer, and Conformer models using phoneme recognition. For CNN, the ContextNet model is used for the experiments. First, w... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85100449713 | A Comparison of Transformer, Recurrent Neural Networks and SMT in Tamil to Sinhala MT | Neural Machine Translation (NMT) is currently the most promising approach for machine translation. The attention mechanism is a successful technique in modern Natural Language Processing (NLP), especially in tasks like machine translation. The recently proposed network architecture of the Transformer is based entirely ... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Text Generation",
"Multilinguality"
] | [
52,
51,
72,
47,
0
] |
http://arxiv.org/abs/2009.06257v1 | A Comparison of Two Fluctuation Analyses for Natural Language Clustering Phenomena: Taylor and Ebeling & Neiman Methods | This article considers the fluctuation analysis methods of Taylor and Ebeling & Neiman. While both have been applied to various phenomena in the statistical mechanics domain, their similarities and differences have not been clarified. After considering their analytical aspects, this article presents a large-scale appli... | [
"Information Extraction & Text Mining",
"Text Clustering"
] | [
3,
29
] |
https://aclanthology.org//2011.mtsummit-papers.40/ | A Comparison of Unsupervised Bilingual Term Extraction Methods Using Phrase-Tables | [
"Low-Resource NLP",
"Machine Translation",
"Information Extraction & Text Mining",
"Structured Data in NLP",
"Term Extraction",
"Multimodality",
"Text Generation",
"Responsible & Trustworthy NLP",
"Multilinguality"
] | [
80,
51,
3,
50,
1,
74,
47,
4,
0
] | |
SCOPUS_ID:85132970194 | A Comparison of Web Services for Sentiment Analysis in Digital Mental Health Interventions | The use of web services allows for an easy and cost-effective way to implementation natural language processing capabilities such as sentiment analysis in digital interventions such as those used in mental healthcare. To the best of our knowledge, the majority of studies to date focus on the use of sentiment analysis f... | [
"Responsible & Trustworthy NLP",
"Ethical NLP",
"Sentiment Analysis"
] | [
4,
17,
78
] |
http://arxiv.org/abs/1611.02956v3 | A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation | Word embeddings are now ubiquitous forms of word representation in natural language processing. There have been applications of word embeddings for monolingual word sense disambiguation (WSD) in English, but few comparisons have been done. This paper attempts to bridge that gap by examining popular embeddings for the t... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Word Sense Disambiguation",
"Representation Learning",
"Text Generation",
"Cross-Lingual Transfer",
"Multilinguality"
] | [
52,
51,
72,
65,
12,
47,
19,
0
] |
SCOPUS_ID:85123221498 | A Comparison of Word Embeddings to Study Complications in Neurosurgery | Our study aimed to compare the capability of different word embeddings to capture the semantic similarity of clinical concepts related to complications in neurosurgery at the level of medical experts. Eighty-four sets of word embeddings (based on Word2vec, GloVe, FastText, PMI, and BERT algorithms) were benchmarked in ... | [
"Representation Learning",
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Text Clustering"
] | [
12,
3,
72,
29
] |
http://arxiv.org/abs/1906.05468v1 | A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics | Distributed representations of text can be used as features when training a statistical classifier. These representations may be created as a composition of word vectors or as context-based sentence vectors. We compare the two kinds of representations (word versus context) for three classification problems: influenza i... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
http://arxiv.org/abs/cmp-lg/9809003v1 | A Comparison of WordNet and Roget's Taxonomy for Measuring Semantic Similarity | This paper presents the results of using Roget's International Thesaurus as the taxonomy in a semantic similarity measurement task. Four similarity metrics were taken from the literature and applied to Roget's The experimental evaluation suggests that the traditional edge counting approach does surprisingly well (a cor... | [
"Semantic Text Processing",
"Semantic Similarity"
] | [
72,
53
] |
https://aclanthology.org//W98-0716/ | A Comparison of WordNet and Roget’s Taxonomy for Measuring Semantic Similarity | [
"Knowledge Representation",
"Semantic Text Processing",
"Semantic Similarity"
] | [
18,
72,
53
] | |
SCOPUS_ID:84989811357 | A Comparison of methods for identifying the translation of words in a comparable corpus: Recipes and limits | Identifying translations in comparabl corpora is a challenge that has attracted man researchers since a long time. It has applications i several applications including Machine Translation an Cross-lingual Information Retrieval. In this study w compare three state-of-The-Art approaches for thes tasks: The so-called cont... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85026728689 | A Comparison of the International Charters on Geographical Education | This article uses discourse analysis techniques associated with Foucauldian archaeology to examine the two international charters developed by the International Geographical Union Commission on Geographical Education (IGU-CGE), the original one in 1992 and the revised version endorsed in 2016 at the Beijing conference.... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
SCOPUS_ID:85133006899 | A Comparison of Transformer-Based Language Models on NLP Benchmarks | Since the advent of BERT, Transformer-based language models (TLMs) have shown outstanding effectiveness in several NLP tasks. In this paper, we aim at bringing order to the landscape of TLMs and their performance on important benchmarks for NLP. Our analysis sheds light on the advantages that some TLMs take over the ot... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
https://aclanthology.org//W19-5324/ | A Comparison on Fine-grained Pre-trained Embeddings for the WMT19Chinese-English News Translation Task | This paper describes our submission to the WMT 2019 Chinese-English (zh-en) news translation shared task. Our systems are based on RNN architectures with pre-trained embeddings which utilize character and sub-character information. We compare models with these different granularity levels using different evaluating met... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Representation Learning",
"Text Generation",
"Multilinguality"
] | [
52,
51,
72,
12,
47,
0
] |
SCOPUS_ID:85097251837 | A Competence-Aware Curriculum for Visual Concepts Learning via Question Answering | Humans can progressively learn visual concepts from easy to hard questions. To mimic this efficient learning ability, we propose a competence-aware curriculum for visual concept learning in a question-answering manner. Specifically, we design a neural-symbolic concept learner for learning the visual concepts and a mult... | [
"Visual Data in NLP",
"Natural Language Interfaces",
"Question Answering",
"Multimodality"
] | [
20,
11,
27,
74
] |
SCOPUS_ID:85099006756 | A Compiler-based Approach for Natural Language to Code Conversion | There is a gap observed between the natural language (NL) of speech and writing a program to generate code. Programmers should know the syntax of the programming language in order to code. The aim of the proposed model is to do away with the syntactic structure of a programming language and the user can specify the ins... | [
"Programming Languages in NLP",
"Speech & Audio in NLP",
"Syntactic Text Processing",
"Multimodality",
"Text Generation",
"Responsible & Trustworthy NLP",
"Code Generation",
"Green & Sustainable NLP"
] | [
55,
70,
15,
74,
47,
4,
44,
68
] |
SCOPUS_ID:85063615546 | A Complaint Text Classification Model Based on Character-Level Convolutional Network | With the increase of demand for service quality, a growing number of people are expressing their complaints on the Web for services from different businesses. The correct classification of complaint reasons can substantially improve the quality of business service. Existing methods for text classification used on vario... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/2204.02023v1 | A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition | Unpaired data has shown to be beneficial for low-resource automatic speech recognition~(ASR), which can be involved in the design of hybrid models with multi-task training or language model dependent pre-training. In this work, we leverage unpaired data to train a general sequence-to-sequence model. Unpaired speech and... | [
"Low-Resource NLP",
"Speech & Audio in NLP",
"Multimodality",
"Text Generation",
"Speech Recognition",
"Responsible & Trustworthy NLP"
] | [
80,
70,
74,
47,
10,
4
] |
https://aclanthology.org//W02-2106/ | A Complete, Efficient Sentence-Realization Algorithm for Unification Grammar | [
"Responsible & Trustworthy NLP",
"Text Generation",
"Green & Sustainable NLP"
] | [
4,
47,
68
] | |
https://aclanthology.org//W97-1101/ | A Complexity Measure for Diachronic Chinese Phonology | [
"Phonology",
"Syntactic Text Processing"
] | [
6,
15
] | |
SCOPUS_ID:84979610005 | A Compliant Document Image Classification System Based on One-Class Classifier | Document image classification in a professional context requires to respect some constraints such as dealing with a large variability of documents and/or number of classes. Whereas most methods deal with all classes at the same time, we answer this problem by presenting a new compliant system based on the specializatio... | [
"Visual Data in NLP",
"Text Classification",
"Multimodality",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
20,
36,
74,
24,
3
] |
SCOPUS_ID:85049204886 | A Composite Natural Language Processing and Information Retrieval Approach to Question Answering Using a Structured Knowledge Base | With the inception of the World Wide Web, the amount of data present on the Internet is tremendous. This makes the task of navigating through this enormous amount of data quite difficult for the user. As users struggle to navigate through this wealth of information, the need for the development of an automated system t... | [
"Semantic Text Processing",
"Structured Data in NLP",
"Question Answering",
"Knowledge Representation",
"Natural Language Interfaces",
"Information Retrieval",
"Multimodality"
] | [
72,
50,
27,
18,
11,
24,
74
] |
SCOPUS_ID:85129823962 | A Compositional Adaptation-based Approach for Recommending Learning Resources in Software Development | In this paper, we discussed the application of a compositional adaptation approach to recommend learning resources to users in the area of software development. This approach makes use of a domainspecific ontology in this area to find those words, which are used in the technical description of the stored cases. A point... | [
"Knowledge Representation",
"Semantic Text Processing",
"Semantic Similarity"
] | [
18,
72,
53
] |
http://arxiv.org/abs/1604.00100v1 | A Compositional Approach to Language Modeling | Traditional language models treat language as a finite state automaton on a probability space over words. This is a very strong assumption when modeling something inherently complex such as language. In this paper, we challenge this by showing how the linear chain assumption inherent in previous work can be translated ... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
https://aclanthology.org//W07-1425/ | A Compositional Approach toward Dynamic Phrasal Thesaurus | [
"Reasoning",
"Textual Inference"
] | [
8,
22
] | |
http://arxiv.org/abs/1509.06594v1 | A Compositional Explanation of the Pet Fish Phenomenon | The `pet fish' phenomenon is often cited as a paradigm example of the `non-compositionality' of human concept use. We show here how this phenomenon is naturally accommodated within a compositional distributional model of meaning. This model describes the meaning of a composite concept by accounting for interaction betw... | [
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP"
] | [
81,
4
] |
SCOPUS_ID:85104993063 | A Comprehensive Analysis of Deep Learning Techniques for Documentation Classification | The continuously increasing volume of documents in different fields has rendered document classification by manual labor infeasible. This has led to the genesis of automatic classification with the help of a myriad of techniques like Data Mining, Machine learning, and Deep Learning (N.L.P). This automation prevents hum... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/2009.01989v1 | A Comprehensive Analysis of Information Leakage in Deep Transfer Learning | Transfer learning is widely used for transferring knowledge from a source domain to the target domain where the labeled data is scarce. Recently, deep transfer learning has achieved remarkable progress in various applications. However, the source and target datasets usually belong to two different organizations in many... | [
"Language Models",
"Semantic Text Processing",
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
52,
72,
17,
4
] |
SCOPUS_ID:85111987422 | A Comprehensive Analysis on Question Classification Using Machine Learning and Deep Learning Techniques | The competence of any online Web site depends on the type of experience it gives to its users, which depends largely on the content they put up on their Web site. Hence, the content which is being put online should be really taken care. There are many Web sites that provide content to their user in terms of questions a... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
SCOPUS_ID:85125422936 | A Comprehensive Approach of Exploring Usability Problems in Enterprise Resource Planning Systems | Enterprise Resource Planning (ERP) is a frequently used system among organizations to automate their workflows, and companies’ performances are highly dependent on the ERP system. The usability issues of ERP systems may cause performance degradation, resulting in the company’s loss in terms of cost. Previously, several... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
https://aclanthology.org//2021.eancs-1.3/ | A Comprehensive Assessment of Dialog Evaluation Metrics | Automatic evaluation metrics are a crucial component of dialog systems research. Standard language evaluation metrics are known to be ineffective for evaluating dialog. As such, recent research has proposed a number of novel, dialog-specific metrics that correlate better with human judgements. Due to the fast pace of r... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85084283402 | A Comprehensive Comparison of Machine Learning Based Methods Used in Bengali Question Classification | QA classification system maps questions asked by humans to an appropriate answer category. A sound question classification (QC) system model is the pre-requisite of a sound QA system. This work demonstrates phases of assembling a QA type classification model. We present a comprehensive comparison (performance and compu... | [
"Text Classification",
"Question Answering",
"Natural Language Interfaces",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
27,
11,
24,
3
] |
http://arxiv.org/abs/2106.11483v8 | A Comprehensive Comparison of Pre-training Language Models | Recently, the development of pre-trained language models has brought natural language processing (NLP) tasks to the new state-of-the-art. In this paper we explore the efficiency of various pre-trained language models. We pre-train a list of transformer-based models with the same amount of text and the same training ste... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
http://arxiv.org/abs/2110.05115v1 | A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution | Coreference Resolution is an important NLP task and most state-of-the-art methods rely on word embeddings for word representation. However, one issue that has been largely overlooked in literature is that of comparing the performance of different embeddings across and within families in this task. Therefore, we frame o... | [
"Coreference Resolution",
"Semantic Text Processing",
"Information Extraction & Text Mining",
"Representation Learning"
] | [
13,
72,
3,
12
] |
https://aclanthology.org//2007.sigdial-1.31/ | A Comprehensive Disfluency Model for Multi-Party Interaction | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
http://arxiv.org/abs/2303.07196v1 | A Comprehensive Empirical Evaluation of Existing Word Embedding Approaches | Vector-based word representations help countless Natural Language Processing (NLP) tasks capture both semantic and syntactic regularities of the language. In this paper, we present the characteristics of existing word embedding approaches and analyze them with regards to many classification tasks. We categorize the met... | [
"Semantic Text Processing",
"Text Classification",
"Syntactic Text Processing",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
15,
12,
24,
3
] |
http://arxiv.org/abs/2201.02772v2 | A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval | Cross-Modal Retrieval (CMR) is an important research topic across multimodal computing and information retrieval, which takes one type of data as the query to retrieve relevant data of another type. It has been widely used in many real-world applications. Recently, the vision-language pre-trained models represented by ... | [
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Multimodality"
] | [
20,
52,
72,
24,
74
] |
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