Papers Topic Classification
“Topic Classification” 태그가 달린 논문 186편 · 필터 해제
An Overview of the Active Gene Annotation Corpus and the BioNLP OST 2019 AGAC Track Tasks
The active gene annotation corpus (AGAC) was developed to support knowledge discovery for drug repurposing. Based on the corpus, the AGAC track of the BioNLP Open Shared Tasks 2019 was organized, to facilitate cross-disc…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Relation Extraction+1Multilingual Model Using Cross-Task Embedding Projection
We present a method for applying a neural network trained on one (resource-rich) language for a given task to other (resource-poor) languages. We accomplish this by inducing a mapping from pre-trained cross-lingual word …
Cross-Lingual Word EmbeddingsmodelSentiment AnalysisTopic Classification+1Hierarchical Transformers for Long Document Classification
BERT, which stands for Bidirectional Encoder Representations from Transformers, is a recently introduced language representation model based upon the transfer learning paradigm. We extend its fine-tuning procedure to add…
ClassificationDocument ClassificationGeneral ClassificationTopic Classification+1Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding
The Hierarchical Attention Network (HAN) has made great strides, but it suffers a major limitation: at level 1, each sentence is encoded in complete isolation. In this work, we propose and compare several modifications o…
Abstractive Text Summarizationdocument understandingSentenceTopic ClassificationNeural News Recommendation with Topic-Aware News Representation
News recommendation can help users find interested news and alleviate information overload. The topic information of news is critical for learning accurate news and user representations for news recommendation. However, …
News RecommendationRepresentation LearningTopic ClassificationLow-dimensional Embodied Semantics for Music and Language
Embodied cognition states that semantics is encoded in the brain as firing patterns of neural circuits, which are learned according to the statistical structure of human multimodal experience. However, each human brain i…
Topic ClassificationThe Strength of the Weakest Supervision: Topic Classification Using Class Labels
When developing topic classifiers for real-world applications, we begin by defining a set of meaningful topic labels. Ideally, an intelligent classifier can understand these labels right away and start classifying docume…
General ClassificationTopic ClassificationLeap-LSTM: Enhancing Long Short-Term Memory for Text Categorization
Recurrent Neural Networks (RNNs) are widely used in the field of natural language processing (NLP), ranging from text categorization to question answering and machine translation. However, RNNs generally read the whole t…
General ClassificationMachine TranslationQuestion AnsweringSentiment Analysis+3Topic Classification from Text Using Decision Tree, K-NN and Multinomial Naïve Bayes
One of the central motivations behind Natural Language Processing is detecting patterns. Given a text document, the task of identifying the context is known to be as topic classification. This paper explores the performa…
ClassificationTopic ClassificationTopic Classification Method for Analyzing Effect of eWOM on Consumer Game Sales
Electronic word-of-mouth (eWOM) has become an important resource for the analysis of marketing research. In this study, in order to analyze user needs for consumer game software, we focus on tweet data. And we proposed t…
feature selectionGeneral ClassificationMarketingTopic ClassificationExpanding the Text Classification Toolbox with Cross-Lingual Embeddings
Most work in text classification and Natural Language Processing (NLP) focuses on English or a handful of other languages that have text corpora of hundreds of millions of words. This is creating a new version of the dig…
ClassificationGeneral ClassificationIntent DetectionMultilingual Word Embeddings+4Importance of Self-Attention for Sentiment Analysis
Despite their superior performance, deep learning models often lack interpretability. In this paper, we explore the modeling of insightful relations between words, in order to understand and enhance predictions. To this …
ClassificationDecision MakingGeneral ClassificationImage Captioning+8Contextual Topic Modeling For Dialog Systems
Accurate prediction of conversation topics can be a valuable signal for creating coherent and engaging dialog systems. In this work, we focus on context-aware topic classification methods for identifying topics in free-f…
ChatbotClassificationGeneral ClassificationTopic Classification+1Super Characters: A Conversion from Sentiment Classification to Image Classification
We propose a method named Super Characters for sentiment classification. This method converts the sentiment classification problem into image classification problem by projecting texts into images and then applying CNN m…
ClassificationGeneral Classificationimage-classificationImage Classification+3Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions
Analysis of the topics mentioned and opinions expressed in parliamentary debate motions{--}or proposals{--}is difficult for human readers, but necessary for understanding and automatic processing of the content of the su…
Sentiment AnalysisTopic ClassificationFrom Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information
Dropout is used to avoid overfitting by randomly dropping units from the neural networks during training. Inspired by dropout, this paper presents GI-Dropout, a novel dropout method integrating with global information to…
ClassificationGeneral ClassificationSentiment Analysistext-classification+2LTV: Labeled Topic Vector
In this paper we present LTV, a website and API that generates labeled topic classifications based on the Dewey Decimal Classification (DDC), an international standard for topic classification in libraries. We introduce …
General ClassificationSemantic Textual SimilarityTopic ClassificationLow-Resource Contextual Topic Identification on Speech
In topic identification (topic ID) on real-world unstructured audio, an audio instance of variable topic shifts is first broken into sequential segments, and each segment is independently classified. We first present a g…
General ClassificationTopic ClassificationTranslationIllustrative Language Understanding: Large-Scale Visual Grounding with Image Search
We introduce Picturebook, a large-scale lookup operation to ground language via {`}snapshots{'} of our physical world accessed through image search. For each word in a vocabulary, we extract the top-$k$ images from Googl…
General ClassificationImage RetrievalMachine TranslationNatural Language Inference+6Comparison of Representations of Named Entities for Document Classification
We explore representations for multi-word names in text classification tasks, on Reuters (RCV1) topic and sector classification. We find that: the best way to treat names is to split them into tokens and use each token a…
ClassificationDocument ClassificationGeneral ClassificationRepresentation Learning+4